diff --git a/.travis.yml b/.travis.yml index f51f3a1b..99b89424 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,7 +1,6 @@ language: python python: - '3.7' - - '2.7' - '3.8' - '3.6' - '3.5' diff --git a/README.rst b/README.rst index 08aa9084..dd7e6970 100644 --- a/README.rst +++ b/README.rst @@ -27,4 +27,4 @@ sidpy Python utilities for storing, visualizing, and processing Spectroscopic and Imaging Data (SID) -Please see our `website `_ for more information. +Please see our `website `_ for more information. diff --git a/docs/source/conf.py b/docs/source/conf.py index 99e9d8a8..cc4bfd97 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -46,7 +46,7 @@ project = 'sidpy' copyright = '2020, Suhas Somnath, Gerd Duscher, and contributors' -author = 'Suhas Somnath, Gerd Duscher, and contributors' +author = 'Pycroscopy contributors' # The short X.Y version version = sidpy_version @@ -301,7 +301,7 @@ # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'sidpy.tex', 'sidpy Documentation', - 'Suhas Somnath, Gerd Duscher, and contributors', 'manual'), + 'Pycroscopy contributors', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of diff --git a/examples/plot_utils/README.txt b/examples/plot_utils/README.txt deleted file mode 100644 index e0c9e5c6..00000000 --- a/examples/plot_utils/README.txt +++ /dev/null @@ -1,2 +0,0 @@ -Generic Plotting utilities -========================== \ No newline at end of file diff --git a/examples/plot_utils/plot_1d.py b/examples/plot_utils/plot_1d.py deleted file mode 100644 index 8b5661b1..00000000 --- a/examples/plot_utils/plot_1d.py +++ /dev/null @@ -1,175 +0,0 @@ -""" -=============================================================================== -1D Plotting utilities -=============================================================================== - -**Suhas Somnath** - -8/12/2017 - -**This is a short walk-through of useful plotting utilities available in sidpy** - -Introduction --------------- -Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were -developed for scientific applications, These functions have been developed -to substantially simplify the generation of high quality figures for journal publications. - -.. tip:: - You can download and run this document as a Jupyter notebook using the link at the bottom of this page. -""" - -# Ensure python 3 compatibility: -from __future__ import division, print_function, absolute_import, unicode_literals -import numpy as np -from warnings import warn -import matplotlib.pyplot as plt -import subprocess -import sys - - -def install(package): - subprocess.call([sys.executable, "-m", "pip", "install", package]) -# Package for downloading online files: -try: - import sidpy -except ImportError: - warn('sidpy not found. Will install with pip.') - import pip - install('sidpy') - import sidpy - - -################################################################################################ -# use_scientific_ticks() -# ---------------------- -# Often scientific plots look ugly because of the way tick marks are formatted for small or large values. -# use_scientific_ticks() is a handy function that can convert tick marks on 1D plots to scientific form - -fig, axes = plt.subplots(ncols=2, figsize=(8, 4)) -x_vec = np.linspace(0, 2*np.pi, 128) -for axis, title in zip(axes.flat, ['Default', 'Scientific']): - axis.plot(x_vec, np.sin(x_vec) * 1E-6) - axis.set_title(title) -# Changing how the tick marks on the Y axis are formatted only on the second axis: -sidpy.viz.plot_utils.use_scientific_ticks(axes[1], is_x=False) -fig.tight_layout() - -################################################################################################ -# plot_curves() -# -------------- -# This function is particularly useful when we need to plot a 1D signal acquired at multiple locations. -# The function is rather flexible and can take on several optional arguments that will be alluded to below -# In the below example, we are simply simulating sine waveforms for different frequencies (think of these as -# different locations on a sample) - -x_vec = np.linspace(0, 2*np.pi, 256) -# The different frequencies: -freqs = np.linspace(0.5, 5, 9) -# Generating the signals at the different "positions" -y_mat = np.array([np.sin(freq * x_vec) for freq in freqs]) - -sidpy.viz.plot_utils.plot_curves(x_vec, y_mat) - - -################################################################################################ -# Frequently, we may need to compare signals from two different datasets for the same positions -# The same plot_curves function can be used for this purpose even if the signal lengths / resolutions are different - -x_vec_1 = np.linspace(0, 2*np.pi, 256) -x_vec_2 = np.linspace(0, 2*np.pi, 32) -freqs = np.linspace(0.5, 5, 9) -y_mat_1 = np.array([np.sin(freq * x_vec_1) for freq in freqs]) -y_mat_2 = np.array([np.cos(freq * x_vec_2) for freq in freqs]) - -sidpy.viz.plot_utils.plot_curves([x_vec_1, x_vec_2], [y_mat_1, y_mat_2], - title='Sine and Cosine of different resolutions') - -################################################################################################ -# plot_line_family() -# ------------------- -# Often there is a need to visualize multiple spectra or signals on the same plot. plot_line_family -# is a handy function ideally suited for this purpose and it is highly configurable for different styles and purposes -# A few example applications include visualizing X ray / IR spectra (with y offsets), centroids from clustering -# algorithms - -x_vec = np.linspace(0, 2*np.pi, 256) -freqs = range(1, 5) -y_mat = np.array([np.sin(freq * x_vec) for freq in freqs]) -freq_strs = [str(_) for _ in freqs] - -fig, axes = plt.subplots(ncols=3, figsize=(12, 4)) -sidpy.viz.plot_utils.plot_line_family(axes[0], x_vec, y_mat) -axes[0].set_title('Basic line family') - -# Option suitable for visualizing spectra with y offsets: -sidpy.viz.plot_utils.plot_line_family(axes[1], x_vec, y_mat, - line_names=freq_strs, label_prefix='Freq = ', label_suffix='Hz', - y_offset=2.5) -axes[1].legend() -axes[1].set_title('Line family with legend') - -# Option highly suited for visualizing the centroids from a clustering algorithm: -sidpy.viz.plot_utils.plot_line_family(axes[2], x_vec, y_mat, - line_names=freq_strs, label_prefix='Freq = ', label_suffix='Hz', - y_offset=2.5, show_cbar=True) -axes[2].set_title('Line family with colorbar') - -################################################################################################ -# plot_complex_spectra() -# ----------------------- -# This handy function plots the amplitude and phase components of multiple complex valued spectra -# Here we simulate the signal coming from a simple harmonic oscillator (SHO). - -num_spectra = 4 -spectra_length = 77 -w_vec = np.linspace(300, 350, spectra_length) -amps = np.random.rand(num_spectra) -freqs = np.random.rand(num_spectra)*35 + 310 -q_facs = np.random.rand(num_spectra)*25 + 50 -phis = np.random.rand(num_spectra)*2*np.pi -spectra = np.zeros((num_spectra, spectra_length), dtype=np.complex) - - -def sho_resp(parms, w_vec): - """ - Generates the SHO response over the given frequency band - Parameters - ----------- - parms : list or tuple - SHO parae=(A,w0,Q,phi) - w_vec : 1D numpy array - Vector of frequency values - """ - return parms[0] * np.exp(1j * parms[3]) * parms[1] ** 2 / \ - (w_vec ** 2 - 1j * w_vec * parms[1] / parms[2] - parms[1] ** 2) - - -for index, amp, freq, qfac, phase in zip(range(num_spectra), amps, freqs, q_facs, phis): - spectra[index] = sho_resp((amp, freq, qfac, phase), w_vec) - -fig, axis = sidpy.viz.plot_utils.plot_complex_spectra(spectra, w_vec, title='Oscillator responses') - -################################################################################################ -# rainbow_plot() -# --------------- -# This function is ideally suited for visualizing a signal that varies as a function of time or when -# the directionality of the signal is important - -num_pts = 1024 -t_vec = np.linspace(0, 10*np.pi, num_pts) - -fig, axis = plt.subplots(figsize=(4, 4)) -sidpy.viz.plot_utils.rainbow_plot(axis, np.cos(t_vec)*np.linspace(0, 1, num_pts), - np.sin(t_vec)*np.linspace(0, 1, num_pts), - num_steps=32) - -################################################################################################ -# plot_scree() -# ------------ -# One of the results of applying Singular Value Decomposition is the variance or statistical significance -# of the resultant components. This data is best visualized via a log-log plot and plot_scree is available -# exclusively to visualize this kind of data - -scree = np.exp(-1 * np.arange(100)) -sidpy.viz.plot_utils.plot_scree(scree, color='r') diff --git a/examples/plot_utils/plot_2d.py b/examples/plot_utils/plot_2d.py deleted file mode 100644 index 0beaa326..00000000 --- a/examples/plot_utils/plot_2d.py +++ /dev/null @@ -1,107 +0,0 @@ -""" -=============================================================================== -2D Plotting utilities -=============================================================================== - -**Suhas Somnath** - -8/12/2017 - -**This is a short walk-through of useful plotting utilities available in sidpy** - -Introduction --------------- -Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were -developed for scientific applications, These functions have been developed -to substantially simplify the generation of high quality figures for journal publications. - -.. tip:: - You can download and run this document as a Jupyter notebook using the link at the bottom of this page. -""" - -# Ensure python 3 compatibility: -from __future__ import division, print_function, absolute_import, unicode_literals -import numpy as np -from warnings import warn -import matplotlib.pyplot as plt -import subprocess -import sys - - -def install(package): - subprocess.call([sys.executable, "-m", "pip", "install", package]) -# Package for downloading online files: -try: - import sidpy -except ImportError: - warn('sidpy not found. Will install with pip.') - import pip - install('sidpy') - import sidpy - -################################################################################################ -# plot_map() -# ----------- -# This function adds several popularly used features to the basic image plotting function in matplotlib including: -# -# * easy addition of a colorbar -# * custom x and y tick values -# * clipping the colorbar to N standard deviations of the mean - -x_vec = np.linspace(0, 6*np.pi, 256) -y_vec = np.sin(x_vec)**2 - -atom_intensities = y_vec * np.atleast_2d(y_vec).T - -fig, axes = plt.subplots(ncols=2, figsize=(10, 5)) -# Standard imshow plot for reference -axes[0].imshow(atom_intensities, origin='lower') -axes[0].set_title('Standard imshow') -# Now plot_map with some options enabled: -sidpy.viz.plot_utils.plot_map(axes[1], atom_intensities, stdevs=1.5, num_ticks=4, - x_vec=np.linspace(-1, 1, atom_intensities.shape[0]), - y_vec=np.linspace(0, 500, atom_intensities.shape[1]), - cbar_label='intensity (a. u.)', tick_font_size=16) -axes[1].set_title('plot_map') -fig.tight_layout() - -################################################################################################ -# plot_map_stack() -# ----------------- -# One of the most popular operations in scientific research is the visualization of a stack of images. -# This function is built specifically for that purpose. -# Here we simply simulate some images using sinusoidal functions for demonstration purposes. - - -def get_sine_2d_image(freq): - x_vec = np.linspace(0, freq*np.pi, 256) - y_vec = np.sin(x_vec)**2 - return y_vec * np.atleast_2d(y_vec).T - - -frequencies = [0.25, 0.5, 1, 2, 4 ,8, 16, 32, 64] -image_stack = [get_sine_2d_image(freq) for freq in frequencies] -image_stack = np.array(image_stack) - -fig, axes = sidpy.viz.plot_utils.plot_map_stack(image_stack, reverse_dims=False, title_yoffset=0.95) - -################################################################################################ -# plot_complex_spectra() -# ---------------------- -# This function plots the amplitude and phase components of a stack of complex valued 2D images. -# Here we simulate the data using sine and cosine components - - -def get_complex_2d_image(freq): - # Simple function to generate images - x_vec = np.linspace(0, freq*np.pi, 256) - y_vec_1 = np.sin(x_vec)**2 - y_vec_2 = np.cos(x_vec)**2 - return y_vec_2 * np.atleast_2d(y_vec_2).T + 1j*(y_vec_1 * np.atleast_2d(y_vec_1).T) - - -# The range of frequences over which the images are generated -frequencies = 2 ** np.arange(4) -image_stack = [get_complex_2d_image(freq) for freq in frequencies] - -fig, axes = sidpy.viz.plot_utils.plot_complex_spectra(np.array(image_stack), figsize=(3.5, 3)) diff --git a/examples/plot_utils/plot_cmap.py b/examples/plot_utils/plot_cmap.py deleted file mode 100644 index 2809bb35..00000000 --- a/examples/plot_utils/plot_cmap.py +++ /dev/null @@ -1,160 +0,0 @@ -""" -=============================================================================== -Utilities for color maps -=============================================================================== - -**Suhas Somnath** - -8/12/2017 - -**This is a short walk-through of useful plotting utilities available in sidpy** - -Introduction --------------- -Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were -developed for scientific applications, These functions have been developed -to substantially simplify the generation of high quality figures for journal publications. - -.. tip:: - You can download and run this document as a Jupyter notebook using the link at the bottom of this page. -""" - -# Ensure python 3 compatibility: -from __future__ import division, print_function, absolute_import, \ - unicode_literals -import numpy as np -from warnings import warn -import matplotlib.pyplot as plt -import subprocess -import sys - - -def install(package): - subprocess.call([sys.executable, "-m", "pip", "install", package]) - - -# Package for downloading online files: -try: - import sidpy -except ImportError: - warn('sidpy not found. Will install with pip.') - import pip - - install('sidpy') - import sidpy - -################################################################################################ -# plot_utils has a handful of colormaps suited for different applications. -# -# cmap_jet_white_center() -# ----------------------- -# This is the standard jet colormap with a white center instead of green. This is a good colormap for images with -# divergent data (data that diverges slightly both positively and negatively from the mean). -# One example target is the ronchigrams from scanning transmission electron microscopy (STEM) -# -# cmap_hot_desaturated() -# ---------------------- -# This is a desaturated version of the standard jet colormap -# -# discrete_cmap() -# --------------- -# This function helps create a discretized version of the provided colormap. This is ideally suited when the data -# only contains a few discrete values. One popular application is the visualization of labels from a clustering -# algorithm - -x_vec = np.linspace(0, 2*np.pi, 256) -y_vec = np.sin(x_vec) - -test = y_vec * np.atleast_2d(y_vec).T - -fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(10, 10)) -for axis, title, cmap in zip(axes.flat, - ['Jet', - 'Jet with white center', - 'Jet desaturated', - 'Jet discretized'], - [plt.cm.jet, - sidpy.viz.plot_utils.cmap_jet_white_center(), - sidpy.viz.plot_utils.cmap_hot_desaturated(), - sidpy.viz.plot_utils.discrete_cmap(8, cmap='jet')]): - im_handle = axis.imshow(test, cmap=cmap) - cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical', - fraction=0.046, pad=0.04, use_gridspec=True) - axis.set_title(title) -fig.tight_layout() - -################################################################################################ -# make_linear_alpha_cmap() -# ------------------------ -# On certain occasions we may want to superimpose one image with another. However, this is not possible -# by default since colormaps involve solid colors. This function allows one to plot multiple images using -# a transparent-to-solid colormap. Here we will demonstrate this by plotting blobs representing atomic columns -# over some background intensity. - -num_pts = 256 - -fig, axis = plt.subplots() - -# Prepare some background signal -x_mat, y_mat = np.meshgrid(np.linspace(-0.2*np.pi, 0.1*np.pi, num_pts), np.linspace(0, 0.25*np.pi, num_pts)) -background_distortion = 0.2 * (x_mat + y_mat + np.sin(0.25 * np.pi * x_mat)) - -# plot this signal in grey -axis.imshow(background_distortion, cmap='Greys') - -# prepare the signal of interest (think of this as intensities in a HREM dataset) -x_vec = np.linspace(0, 6*np.pi, num_pts) -y_vec = np.sin(x_vec)**2 -atom_intensities = y_vec * np.atleast_2d(y_vec).T - -# prepare the transparent-to-solid colormap -solid_color = plt.cm.jet(0.8) -translucent_colormap = sidpy.viz.plot_utils.make_linear_alpha_cmap('my_map', solid_color, - 1, min_alpha=0, max_alpha=1) - -# plot the atom intensities using the custom colormap -im_handle = axis.imshow(atom_intensities, cmap=translucent_colormap) -cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical', - fraction=0.046, pad=0.04, use_gridspec=True) - -################################################################################################ -# get_cmap_object() -# ----------------- -# This function is useful more for developers writing their own plotting functions that need to manipulate the -# colormap object. This function makes it easy to ensure that you are working on the colormap object and not the -# string name of the colormap (both of which are accepted by most matplotlib functions). -# Here we simply compare the returned values when passing both the colormap object and the string name of the colormap - -sidpy.viz.plot_utils.get_cmap_object('jet') == sidpy.viz.plot_utils.get_cmap_object(plt.cm.jet) - -################################################################################################ -# cmap_from_rgba() -# ---------------- -# This function is handy for converting a Matlab-style colormap instructions (lists of [reg, green, blue, alpha]) to -# matplotlib's style: - -hot_desaturated = [(255.0, (255, 76, 76, 255)), - (218.5, (107, 0, 0, 255)), - (182.1, (255, 96, 0, 255)), - (145.6, (255, 255, 0, 255)), - (109.4, (0, 127, 0, 255)), - (72.675, (0, 255, 255, 255)), - (36.5, (0, 0, 91, 255)), - (0, (71, 71, 219, 255))] - -new_cmap = sidpy.viz.plot_utils.cmap_from_rgba('hot_desaturated', hot_desaturated, 255) - -x_vec = np.linspace(0, 2*np.pi, 256) -y_vec = np.sin(x_vec) - -test = y_vec * np.atleast_2d(y_vec).T - -fig, axes = plt.subplots(ncols=2, figsize=(10, 5)) -for axis, title, cmap in zip(axes.flat, - ['Jet', 'Jet desaturated'], - [plt.cm.jet, new_cmap]): - im_handle = axis.imshow(test, cmap=cmap) - cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical', - fraction=0.046, pad=0.04, use_gridspec=True) - axis.set_title(title) -fig.tight_layout() diff --git a/examples/plot_utils/plot_misc.py b/examples/plot_utils/plot_misc.py deleted file mode 100644 index 92fb2aa7..00000000 --- a/examples/plot_utils/plot_misc.py +++ /dev/null @@ -1,140 +0,0 @@ -""" -=============================================================================== -Misc Plotting utilities -=============================================================================== - -**Suhas Somnath** - -8/12/2017 - -**This is a short walk-through of useful plotting utilities available in sidpy** - -Introduction --------------- -Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were -developed for scientific applications, These functions have been developed -to substantially simplify the generation of high quality figures for journal publications. - -.. tip:: - You can download and run this document as a Jupyter notebook using the link at the bottom of this page. -""" - -# Ensure python 3 compatibility: -from __future__ import division, print_function, absolute_import, \ - unicode_literals -import numpy as np -from warnings import warn -import matplotlib.pyplot as plt -import subprocess -import sys - - -def install(package): - subprocess.call([sys.executable, "-m", "pip", "install", package]) - - -# Package for downloading online files: -try: - import sidpy -except ImportError: - warn('sidpy not found. Will install with pip.') - import pip - - install('sidpy') - import sidpy - -################################################################################################ -# General Utilities -# ================== -# set_tick_font_size() -# --------------------- -# Adjusting the font sizes of the tick marks is often necessary for preparing figures for journal papers. -# However, adjusting the tick sizes is actually tedious in python and this function makes this easier. - -test = np.random.rand(10, 10) - -fig, axes = plt.subplots(ncols=2, figsize=(8, 4)) -for axis, title in zip(axes, ['Default', 'Custom']): - axis.imshow(test) - axis.set_title(title + ' tick size') -# only changing the tick font size on the second plot: -sidpy.viz.plot_utils.set_tick_font_size(axes[1], 24) -fig.tight_layout() - -################################################################################################ -# get_plot_grid_size() -# --------------------- -# This handy function figures out the layout for a 2D grid of sub-plots given a desired number of plots -print('Subfigures\tFewer Rows\tFewer Columns') -for num_plots in range(1, 17): - print('{}\t\t{}\t\t{}'.format(num_plots, - sidpy.viz.plot_utils.get_plot_grid_size(num_plots, fewer_rows=True), - sidpy.viz.plot_utils.get_plot_grid_size(num_plots, fewer_rows=False))) - -################################################################################################ -# make_scalar_mappable() -# ---------------------- -# This is a low-level function that is used by ``cbar_for_line_plot()`` to generate the color bar manually. -# Here we revisit the example for plot_line_family() but we generate the colorbar by hand using -# ``make_scalar_mappable()``. In this case, we make the colorbar horizontal just as an example. - -x_vec = np.linspace(0, 2*np.pi, 256) -freqs = range(1, 5) -y_mat = np.array([np.sin(freq * x_vec) for freq in freqs]) - -fig, axis = plt.subplots(figsize=(4, 4.75)) -sidpy.viz.plot_utils.plot_line_family(axis, x_vec, y_mat) - -num_steps = len(freqs) - -sm = sidpy.viz.plot_utils.make_scalar_mappable(1, num_steps+1) - -cbar = plt.colorbar(sm, ax=axis, orientation='horizontal', - pad=0.04, use_gridspec=True) - -################################################################################################ -# cbar_for_line_plot() -# --------------------- -# Note that from the above plot it may not be clear if the signal is radiating outwards or spiraling inwards. -# In these cases it helps to add a colorbar. However, colorbars can typically only be added for 2D images. -# In such cases we can use a handy function: ``cbar_for_line_plot()`` - -num_pts = 1024 -t_vec = np.linspace(0, 10*np.pi, num_pts) - -fig, axis = plt.subplots(figsize=(4.5, 4)) -sidpy.viz.plot_utils.rainbow_plot(axis, np.cos(t_vec)*np.linspace(0, 1, num_pts), - np.sin(t_vec)*np.linspace(0, 1, num_pts), - num_steps=32) - -cbar = sidpy.viz.plot_utils.cbar_for_line_plot(axis, 10) -cbar.set_label('Time (sec)') - -################################################################################################ -# use_nice_plot_params() -# ---------------------- -# This function changes the default plotting parameters so that the figures look nicer and are closer to publication- -# ready figures. Note that all subsequent plots will be generated using the new defaults -# -# reset_plot_params() -# ------------------- -# This function resets the plot parameters to matplotlib defaults. -# The following sequence of default >> nice >> default parameters will illustrate this. - -x_vec = np.linspace(0, 2*np.pi, 256) -freqs = range(1, 5) -y_mat = np.array([np.sin(freq * x_vec) for freq in freqs]) - -for nice in [False, True, False]: - if nice: - sidpy.viz.plot_utils.use_nice_plot_params() - else: - sidpy.viz.plot_utils.reset_plot_params() - fig, axis = plt.subplots(figsize=(4, 4)) - sidpy.viz.plot_utils.plot_line_family(axis, x_vec, y_mat) - axis.set_xlabel('Time (sec)') - axis.set_ylabel('Amplitude (a. u.)') - if nice: - axis.set_title('Nice') - else: - axis.set_title('Default') \ No newline at end of file diff --git a/notebooks/00_basic_usage/create_dataset.ipynb b/notebooks/00_basic_usage/create_dataset.ipynb index 39a1c627..a3ca1ed4 100644 --- a/notebooks/00_basic_usage/create_dataset.ipynb +++ b/notebooks/00_basic_usage/create_dataset.ipynb @@ -1,24 +1,11 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "jupyter": { - "outputs_hidden": false - } - }, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", - "# Creating and manipulating Datasets\n", + "# Creating and Manipulating Datasets\n", "\n", "**Gerd Duscher and Suhas Somnath**\n", "\n", @@ -32,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { "jupyter": { "outputs_hidden": false @@ -43,15 +30,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "sidpy version: 0.0.2\n" + "Populating the interactive namespace from numpy and matplotlib\n", + "sidpy version: 0.0.3\n" ] } ], "source": [ + "%pylab notebook\n", "# Ensure python 3 compatibility:\n", "from __future__ import division, print_function, absolute_import, unicode_literals\n", - "import matplotlib.pylab as plt\n", - "import numpy as np\n", + "\n", "import sys\n", "\n", "sys.path.append('../../')\n", @@ -71,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "jupyter": { "outputs_hidden": false @@ -82,7 +70,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "sipy Dataset of type DataTypes.UNKNOWN with:\n", + "sidpy Dataset of type DataTypes.UNKNOWN with:\n", " dask.array\n", " data contains: generic (generic)\n", " and Dimensions: \n", @@ -90,11 +78,89 @@ " b: generic (generic) of size 5\n", " c: generic (generic) of size 10\n" ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "
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" + ], + "text/plain": [ + "sidpy Dataset of type DataTypes.UNKNOWN with:\n", + " dask.array\n", + " data contains: generic (generic)\n", + " and Dimensions: \n", + " a: generic (generic) of size 4\n", + " b: generic (generic) of size 5\n", + " c: generic (generic) of size 10" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "data_set = sidpy.Dataset.from_array(np.random.random([4, 5, 10]), name='random')\n", - "print(data_set)" + "print(data_set)\n", + "data_set" ] }, { @@ -111,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "jupyter": { "outputs_hidden": false @@ -122,7 +188,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "[9.68676582e-05 6.14369943e-01 3.40107452e-01 3.76077974e-02]\n" + "[0.80830173 0.62772029 0.19193548 0.17773753]\n" ] } ], @@ -158,7 +224,7 @@ "\n", "- ``source``: string : Source for dataset like the kind of instrument. One could go very deep here into either the algorithmic details if this is a result from analysis or the exact configurations for the instrument that generated this dataset.\n", "\n", - "Those attributes are set to ``generic`` originally but one would want to set them t\n", + "Those attributes are set to ``generic`` originally but one would want to set them\n", "for the specific dataset. The attributes ``data_type``, ``quantity`` and ``units`` will be important for plotting the data.\n", "\n", "Here's how one could do that, but with the wrong key word:\n", @@ -167,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "jupyter": { "outputs_hidden": false @@ -196,7 +262,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -223,18 +289,18 @@ "We would want to add those parameters as attributes. These attributes could be lists, numpy arrays or simple dictionaries. It is encouraged to add any parameters of data analysis to the datasets, to keep track of input parameters.\n", "\n", "It is recommended to add any parameters to the (nested) metadata dictionary.\n", - "These metadata can then be viewed in dataset.view_metadata and dataset.view_original_metadata.\n", - " Only in extreme cases should one resort to adding data as attributes (however these\n", - " attributes will be stored in pyNSID)\n", - "Please note, that the dictionary ``original_metadata`` should not be changed so that information provided by the acquisition device stays pristine, but relevant inforamtion should be copied over to the ``metadaata`` attribute/dictionary.\n", + "These metadata can then be viewed in dataset.view_metadata and dataset.view_original_metadata. It is encouraged to add any parameters of data analysis to the datasets, to keep track of input parameters.\n", "\n", + "There is a size limit of 64kB for the storage of dictionaries in h5py. Therefore, large data such as reference data should be added directly as attributes. All attributes that you add to a dataset will be stored within the pyNSID file. \n", + " \n", + "Please note, that the dictionary ``original_metadata`` should not be changed so that information provided by the acquisition device stays pristine, but relevant inforamtion should be copied over to the ``metadaata`` attribute/dictionary.\n", "\n", - "Here I made some up metadata as an illustration:\n" + "Here I made some up metadata as an illustration:" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "jupyter": { "outputs_hidden": false @@ -287,7 +353,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": { "jupyter": { "outputs_hidden": false @@ -295,14 +361,14 @@ }, "outputs": [], "source": [ - "data_set.set_dimension(0, sidpy.Dimension('x', np.arange(data_set.shape[0]),\n", - " units='um', quantity='Length',\n", - " dimension_type='spatial'))\n", - "data_set.set_dimension(1, sidpy.Dimension('y', np.linspace(-2, 2, num=data_set.shape[1], endpoint=True),\n", - " units='um', quantity='Length',\n", - " dimension_type='spatial'))\n", - "data_set.set_dimension(2, sidpy.Dimension('bias', np.sin(np.linspace(0, 2 * np.pi, num=data_set.shape[2])),\n", - " ))" + "data_set.set_dimension(0, sidpy.Dimension(np.arange(data_set.shape[0]), \n", + " name='x', units='um', quantity='Length',\n", + " dimension_type='spatial'))\n", + "data_set.set_dimension(1, sidpy.Dimension(np.linspace(-2, 2, num=data_set.shape[1], endpoint=True),\n", + " 'y', units='um', quantity='Length',\n", + " dimension_type='spatial'))\n", + "data_set.set_dimension(2, sidpy.Dimension(np.sin(np.linspace(0, 2 * np.pi, num=data_set.shape[2])),\n", + " 'bias' ))" ] }, { @@ -316,7 +382,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": { "jupyter": { "outputs_hidden": false @@ -343,7 +409,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "metadata": { "jupyter": { "outputs_hidden": false @@ -354,11 +420,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "bias - Bias (V): [ 0.00000000e+00 6.42787610e-01 9.84807753e-01 8.66025404e-01\n", + "[ 0.00000000e+00 6.42787610e-01 9.84807753e-01 8.66025404e-01\n", " 3.42020143e-01 -3.42020143e-01 -8.66025404e-01 -9.84807753e-01\n", " -6.42787610e-01 -2.44929360e-16]\n", - "y - Length (um): [-2. -1. 0. 1. 2.]\n", - "sipy Dataset of type DataTypes.SPECTRAL_IMAGE with:\n", + "[-2. -1. 0. 1. 2.]\n", + "sidpy Dataset of type DataTypes.IMAGE with:\n", " dask.array\n", " data contains: Current (nA)\n", " and Dimensions: \n", @@ -366,12 +432,90 @@ " y: Length (um) of size 5\n", " bias: Bias (V) of size 10\n" ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "
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Array Chunk
Bytes 1.60 kB 1.60 kB
Shape (4, 5, 10) (4, 5, 10)
Count 1 Tasks 1 Chunks
Type float64 numpy.ndarray
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" + ], + "text/plain": [ + "sidpy Dataset of type DataTypes.IMAGE with:\n", + " dask.array\n", + " data contains: Current (nA)\n", + " and Dimensions: \n", + " x: Length (um) of size 4\n", + " y: Length (um) of size 5\n", + " bias: Bias (V) of size 10" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ "print(data_set.bias)\n", "print(data_set.dim_1)\n", - "print(data_set)" + "print(data_set)\n", + "data_set" ] }, { @@ -389,7 +533,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "metadata": { "jupyter": { "outputs_hidden": false @@ -398,14 +542,956 @@ "outputs": [ { "data": { - "image/png": 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\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, + "metadata": {}, "output_type": "display_data" } ], @@ -429,7 +1515,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 12, "metadata": { "jupyter": { "outputs_hidden": false @@ -438,14 +1524,956 @@ "outputs": [ { "data": { - "image/png": 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\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, + "metadata": {}, "output_type": "display_data" } ], diff --git a/notebooks/00_basic_usage/plot_dataset.ipynb b/notebooks/00_basic_usage/plot_dataset.ipynb index 3f4dadd1..3eb5effd 100644 --- a/notebooks/00_basic_usage/plot_dataset.ipynb +++ b/notebooks/00_basic_usage/plot_dataset.ipynb @@ -1,14 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -18,7 +9,7 @@ "\n", "**Gerd Duscher**\n", "\n", - "08/25/2020\n", + "09/24/2020\n", "\n", "**Please download this example and run it as a notebook by scrolling to the\n", "bottom of this page**\n" @@ -26,22 +17,23 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.0.2\n" + "Populating the interactive namespace from numpy and matplotlib\n", + "0.0.3\n" ] } ], "source": [ "# Ensure python 3 compatibility:\n", "from __future__ import division, print_function, absolute_import, unicode_literals\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", + "%pylab notebook\n", + "\n", "import sys\n", "sys.path.append('../../')\n", "import sidpy\n", @@ -60,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -78,13 +70,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "dset.data_type = 'image'\n", "dset.units = 'counts'\n", - "dset.quantity = 'intensity'" + "dset.quantity = 'intensity'\n", + "dset.title = 'random'" ] }, { @@ -97,17 +90,17 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ - "dset.set_dimension(0, sidpy.Dimension('x', np.arange(dset.shape[0])*.02))\n", + "dset.set_dimension(0, sidpy.Dimension(np.arange(dset.shape[0])*.02, 'x'))\n", "dset.x.dimension_type = 'spatial'\n", "dset.x.units = 'nm'\n", "dset.x.quantity = 'distance'\n", - "dset.set_dimension(1, sidpy.Dimension('y', np.arange(dset.shape[1])*.02))\n", + "dset.set_dimension(1, sidpy.Dimension(np.arange(dset.shape[1])*.02, 'y'))\n", "dset.y.dimension_type = 'spatial'\n", - "dset.yunits = 'nm'\n", + "dset.y.units = 'nm'\n", "dset.y.quantity = 'distance'" ] }, @@ -121,23 +114,2937 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dset.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plotting a Complex Image\n", + "What if the data form a complex image?\n", + "\n", + "Because, we do not want to start all over again, we will use the ``like_data`` function, \n", + "which copies all metadata onto the new dataset.\n", + "\n", + "The resulting plot consists of two images, which share however the axes, try it out and zoom into one image.\n", + "\n", + "Another feature of the ``plot`` function is that you can add any matplotlib keywords and values to the plot. " + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "x = x + np.random.normal(3, 2.5, size=(512, 512)) *1j\n", + "dset_complex = dset.like_data(x, 'complex image')\n", + "dset_complex.plot(figsize=(8,4))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting a spectrum\n", + "\n", + "A spectrum can also easily be populated with the apropriete metadata." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, + "metadata": {}, "output_type": "display_data" } ], "source": [ + "x = np.random.normal(3, 2.5, size=(1024))\n", + "dset = sidpy.Dataset.from_array(x)\n", + "\n", + "# dataset metadata\n", + "dset.data_type = 'spectrum'\n", + "dset.title = 'random'\n", + "dset.quantity = 'intensity'\n", + "dset.units = 'a.u.'\n", + "\n", + "# dimension with metadata\n", + "scale = .5\n", + "offset = 390\n", + "dset.set_dimension(0, sidpy.Dimension(np.arange(dset.shape[0])*scale+offset, 'energy'))\n", + "dset.dim_0.dimension_type = 'spectral'\n", + "dset.energy.units = 'eV'\n", + "dset.energy.quantity = 'energy'\n", + "\n", "dset.plot()" ] }, @@ -157,7 +3064,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -168,15 +3075,15 @@ "dset.units = 'counts'\n", "dset.quantity = 'intensity'\n", "\n", - "dset.set_dimension(0, sidpy.Dimension('frame', np.arange(dset.shape[0])))\n", + "dset.set_dimension(0, sidpy.Dimension(np.arange(dset.shape[0]), 'frame'))\n", "dset.frame.dimension_type = 'temporal'\n", - "dset.set_dimension(1, sidpy.Dimension('x', np.arange(dset.shape[1])*.02))\n", + "dset.set_dimension(1, sidpy.Dimension(np.arange(dset.shape[1])*.02, 'x'))\n", "dset.x.dimension_type = 'spatial'\n", "dset.x.units = 'nm'\n", "dset.x.quantity = 'distance'\n", - "dset.set_dimension(2, sidpy.Dimension('y', np.arange(dset.shape[2])*.02))\n", + "dset.set_dimension(2, sidpy.Dimension(np.arange(dset.shape[2])*.02, 'y'))\n", "dset.y.dimension_type = 'spatial'\n", - "dset.yunits = 'nm'\n", + "dset.y.units = 'nm'\n", "dset.y.quantity = 'distance'" ] }, @@ -185,7 +3092,7 @@ "metadata": {}, "source": [ "## Plotting the Dataset\n", - "Please note that the scroll wheel will move you through the stack.\n", + "Please note that the scroll wheel will move you through the stack, also the slider and the play button will let you navigate through this image stack.\n", "\n", "Zoom to an area and let it play!\n", "\n", @@ -195,18 +3102,946 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4181124d6b4c41bd9f1e209e21f30004", - "version_major": 2, - "version_minor": 0 - }, + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "HBox(children=(Play(value=0, description='Press play', interval=500, max=25), IntSlider(value=0, continuous_up…" + "" ] }, "metadata": {}, @@ -214,14 +4049,28 @@ }, { "data": { - "image/png": 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" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9bcf848fd673498faadc938ba36e3c74", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Play(value=0, description='Press play', interval=500, max=25), IntSlider(value=0, continuous_up…" + ] }, + "metadata": {}, "output_type": "display_data" } ], @@ -239,7 +4088,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -252,13 +4101,941 @@ }, { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a25d32531ac3420db6fbe3f880931d7d", - "version_major": 2, - "version_minor": 0 - }, + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "HBox(children=(Play(value=0, description='Press play', interval=500, max=25), IntSlider(value=0, continuous_up…" + "" ] }, "metadata": {}, @@ -266,14 +5043,28 @@ }, { "data": { - "image/png": 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\n", 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\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "dset.data_type = 'spectral_image'\n", - "dset.set_dimension(0, sidpy.Dimension('spectrum', np.arange(dset.shape[0])))\n", + "dset.set_dimension(0, sidpy.Dimension(np.arange(dset.shape[0]),'spectrum'))\n", "dset.spectrum.dimension_type = 'spectral'\n", "\n", "dset.plot()" @@ -336,7 +6069,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -350,12 +6083,13 @@ "metadata": {}, "source": [ "The axes (and figure) instances of matplotlib can be accessed throught the ``view`` attribute of the sidpy dataset.\n", - "\n" + "\n", + "The code cell below will draw a red square lattice on the plot ``above``\n" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -374,18 +6108,946 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "393a18e421ae42af8e106be03717f61c", - "version_major": 2, - "version_minor": 0 - }, + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "HBox(children=(Play(value=0, description='Press play', interval=500, max=25), IntSlider(value=0, continuous_up…" + "" ] }, "metadata": {}, @@ -393,20 +7055,34 @@ }, { "data": { - "image/png": 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\n", + "text/html": [ + "" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d693ece84a67485fbd5eca65189884d2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(Play(value=0, description='Press play', interval=500, max=25), IntSlider(value=0, continuous_up…" + ] }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "kwargs = {'scale_bar': True, 'cmap': 'hot'}\n", - "dset.set_dimension(0, sidpy.Dimension('frame', np.arange(dset.shape[0])))\n", + "dset.set_dimension(0, sidpy.Dimension(np.arange(dset.shape[0]),'frame'))\n", "dset.frame.dimension_type = 'temporal'\n", "\n", "view = sidpy.viz.dataset_viz.ImageStackVisualizer(dset, **kwargs)" @@ -423,7 +7099,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -435,14 +7111,956 @@ }, { "data": { - "image/png": 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\n", + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "/* global mpl */\n", + "window.mpl = {};\n", + "\n", + "mpl.get_websocket_type = function () {\n", + " if (typeof WebSocket !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof MozWebSocket !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert(\n", + " 'Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.'\n", + " );\n", + " }\n", + "};\n", + "\n", + "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = this.ws.binaryType !== undefined;\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById('mpl-warnings');\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent =\n", + " 'This browser does not support binary websocket messages. ' +\n", + " 'Performance may be slow.';\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = document.createElement('div');\n", + " this.root.setAttribute('style', 'display: inline-block');\n", + " this._root_extra_style(this.root);\n", + "\n", + " parent_element.appendChild(this.root);\n", + "\n", + " this._init_header(this);\n", + " this._init_canvas(this);\n", + " this._init_toolbar(this);\n", + "\n", + " var fig = this;\n", + "\n", + " this.waiting = false;\n", + "\n", + " this.ws.onopen = function () {\n", + " fig.send_message('supports_binary', { value: fig.supports_binary });\n", + " fig.send_message('send_image_mode', {});\n", + " if (fig.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n", + " }\n", + " fig.send_message('refresh', {});\n", + " };\n", + "\n", + " this.imageObj.onload = function () {\n", + " if (fig.image_mode === 'full') {\n", + " // Full images could contain transparency (where diff images\n", + " // almost always do), so we need to clear the canvas so that\n", + " // there is no ghosting.\n", + " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n", + " }\n", + " fig.context.drawImage(fig.imageObj, 0, 0);\n", + " };\n", + "\n", + " this.imageObj.onunload = function () {\n", + " fig.ws.close();\n", + " };\n", + "\n", + " this.ws.onmessage = this._make_on_message_function(this);\n", + "\n", + " this.ondownload = ondownload;\n", + "};\n", + "\n", + "mpl.figure.prototype._init_header = function () {\n", + " var titlebar = document.createElement('div');\n", + " titlebar.classList =\n", + " 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n", + " var titletext = document.createElement('div');\n", + " titletext.classList = 'ui-dialog-title';\n", + " titletext.setAttribute(\n", + " 'style',\n", + " 'width: 100%; text-align: center; padding: 3px;'\n", + " );\n", + " titlebar.appendChild(titletext);\n", + " this.root.appendChild(titlebar);\n", + " this.header = titletext;\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n", + "\n", + "mpl.figure.prototype._init_canvas = function () {\n", + " var fig = this;\n", + "\n", + " var canvas_div = (this.canvas_div = document.createElement('div'));\n", + " canvas_div.setAttribute(\n", + " 'style',\n", + " 'border: 1px solid #ddd;' +\n", + " 'box-sizing: content-box;' +\n", + " 'clear: both;' +\n", + " 'min-height: 1px;' +\n", + " 'min-width: 1px;' +\n", + " 'outline: 0;' +\n", + " 'overflow: hidden;' +\n", + " 'position: relative;' +\n", + " 'resize: both;'\n", + " );\n", + "\n", + " function on_keyboard_event_closure(name) {\n", + " return function (event) {\n", + " return fig.key_event(event, name);\n", + " };\n", + " }\n", + "\n", + " canvas_div.addEventListener(\n", + " 'keydown',\n", + " on_keyboard_event_closure('key_press')\n", + " );\n", + " canvas_div.addEventListener(\n", + " 'keyup',\n", + " on_keyboard_event_closure('key_release')\n", + " );\n", + "\n", + " this._canvas_extra_style(canvas_div);\n", + " this.root.appendChild(canvas_div);\n", + "\n", + " var canvas = (this.canvas = document.createElement('canvas'));\n", + " canvas.classList.add('mpl-canvas');\n", + " canvas.setAttribute('style', 'box-sizing: content-box;');\n", + "\n", + " this.context = canvas.getContext('2d');\n", + "\n", + " var backingStore =\n", + " this.context.backingStorePixelRatio ||\n", + " this.context.webkitBackingStorePixelRatio ||\n", + " this.context.mozBackingStorePixelRatio ||\n", + " this.context.msBackingStorePixelRatio ||\n", + " this.context.oBackingStorePixelRatio ||\n", + " this.context.backingStorePixelRatio ||\n", + " 1;\n", + "\n", + " this.ratio = (window.devicePixelRatio || 1) / backingStore;\n", + " if (this.ratio !== 1) {\n", + " fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n", + " }\n", + "\n", + " var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n", + " 'canvas'\n", + " ));\n", + " rubberband_canvas.setAttribute(\n", + " 'style',\n", + " 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n", + " );\n", + "\n", + " var resizeObserver = new ResizeObserver(function (entries) {\n", + " var nentries = entries.length;\n", + " for (var i = 0; i < nentries; i++) {\n", + " var entry = entries[i];\n", + " var width, height;\n", + " if (entry.contentBoxSize) {\n", + " if (entry.contentBoxSize instanceof Array) {\n", + " // Chrome 84 implements new version of spec.\n", + " width = entry.contentBoxSize[0].inlineSize;\n", + " height = entry.contentBoxSize[0].blockSize;\n", + " } else {\n", + " // Firefox implements old version of spec.\n", + " width = entry.contentBoxSize.inlineSize;\n", + " height = entry.contentBoxSize.blockSize;\n", + " }\n", + " } else {\n", + " // Chrome <84 implements even older version of spec.\n", + " width = entry.contentRect.width;\n", + " height = entry.contentRect.height;\n", + " }\n", + "\n", + " // Keep the size of the canvas and rubber band canvas in sync with\n", + " // the canvas container.\n", + " if (entry.devicePixelContentBoxSize) {\n", + " // Chrome 84 implements new version of spec.\n", + " canvas.setAttribute(\n", + " 'width',\n", + " entry.devicePixelContentBoxSize[0].inlineSize\n", + " );\n", + " canvas.setAttribute(\n", + " 'height',\n", + " entry.devicePixelContentBoxSize[0].blockSize\n", + " );\n", + " } else {\n", + " canvas.setAttribute('width', width * fig.ratio);\n", + " canvas.setAttribute('height', height * fig.ratio);\n", + " }\n", + " canvas.setAttribute(\n", + " 'style',\n", + " 'width: ' + width + 'px; height: ' + height + 'px;'\n", + " );\n", + "\n", + " rubberband_canvas.setAttribute('width', width);\n", + " rubberband_canvas.setAttribute('height', height);\n", + "\n", + " // And update the size in Python. We ignore the initial 0/0 size\n", + " // that occurs as the element is placed into the DOM, which should\n", + " // otherwise not happen due to the minimum size styling.\n", + " if (width != 0 && height != 0) {\n", + " fig.request_resize(width, height);\n", + " }\n", + " }\n", + " });\n", + " resizeObserver.observe(canvas_div);\n", + "\n", + " function on_mouse_event_closure(name) {\n", + " return function (event) {\n", + " return fig.mouse_event(event, name);\n", + " };\n", + " }\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mousedown',\n", + " on_mouse_event_closure('button_press')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseup',\n", + " on_mouse_event_closure('button_release')\n", + " );\n", + " // Throttle sequential mouse events to 1 every 20ms.\n", + " rubberband_canvas.addEventListener(\n", + " 'mousemove',\n", + " on_mouse_event_closure('motion_notify')\n", + " );\n", + "\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseenter',\n", + " on_mouse_event_closure('figure_enter')\n", + " );\n", + " rubberband_canvas.addEventListener(\n", + " 'mouseleave',\n", + " on_mouse_event_closure('figure_leave')\n", + " );\n", + "\n", + " canvas_div.addEventListener('wheel', function (event) {\n", + " if (event.deltaY < 0) {\n", + " event.step = 1;\n", + " } else {\n", + " event.step = -1;\n", + " }\n", + " on_mouse_event_closure('scroll')(event);\n", + " });\n", + "\n", + " canvas_div.appendChild(canvas);\n", + " canvas_div.appendChild(rubberband_canvas);\n", + "\n", + " this.rubberband_context = rubberband_canvas.getContext('2d');\n", + " this.rubberband_context.strokeStyle = '#000000';\n", + "\n", + " this._resize_canvas = function (width, height, forward) {\n", + " if (forward) {\n", + " canvas_div.style.width = width + 'px';\n", + " canvas_div.style.height = height + 'px';\n", + " }\n", + " };\n", + "\n", + " // Disable right mouse context menu.\n", + " this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n", + " event.preventDefault();\n", + " return false;\n", + " });\n", + "\n", + " function set_focus() {\n", + " canvas.focus();\n", + " canvas_div.focus();\n", + " }\n", + "\n", + " window.setTimeout(set_focus, 100);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'mpl-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'mpl-button-group';\n", + " continue;\n", + " }\n", + "\n", + " var button = (fig.buttons[name] = document.createElement('button'));\n", + " button.classList = 'mpl-widget';\n", + " button.setAttribute('role', 'button');\n", + " button.setAttribute('aria-disabled', 'false');\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + "\n", + " var icon_img = document.createElement('img');\n", + " icon_img.src = '_images/' + image + '.png';\n", + " icon_img.srcset = '_images/' + image + '_large.png 2x';\n", + " icon_img.alt = tooltip;\n", + " button.appendChild(icon_img);\n", + "\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " var fmt_picker = document.createElement('select');\n", + " fmt_picker.classList = 'mpl-widget';\n", + " toolbar.appendChild(fmt_picker);\n", + " this.format_dropdown = fmt_picker;\n", + "\n", + " for (var ind in mpl.extensions) {\n", + " var fmt = mpl.extensions[ind];\n", + " var option = document.createElement('option');\n", + " option.selected = fmt === mpl.default_extension;\n", + " option.innerHTML = fmt;\n", + " fmt_picker.appendChild(option);\n", + " }\n", + "\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "};\n", + "\n", + "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n", + " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n", + " // which will in turn request a refresh of the image.\n", + " this.send_message('resize', { width: x_pixels, height: y_pixels });\n", + "};\n", + "\n", + "mpl.figure.prototype.send_message = function (type, properties) {\n", + " properties['type'] = type;\n", + " properties['figure_id'] = this.id;\n", + " this.ws.send(JSON.stringify(properties));\n", + "};\n", + "\n", + "mpl.figure.prototype.send_draw_message = function () {\n", + " if (!this.waiting) {\n", + " this.waiting = true;\n", + " this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " var format_dropdown = fig.format_dropdown;\n", + " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n", + " fig.ondownload(fig, format);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_resize = function (fig, msg) {\n", + " var size = msg['size'];\n", + " if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n", + " fig._resize_canvas(size[0], size[1], msg['forward']);\n", + " fig.send_message('refresh', {});\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n", + " var x0 = msg['x0'] / fig.ratio;\n", + " var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n", + " var x1 = msg['x1'] / fig.ratio;\n", + " var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n", + " x0 = Math.floor(x0) + 0.5;\n", + " y0 = Math.floor(y0) + 0.5;\n", + " x1 = Math.floor(x1) + 0.5;\n", + " y1 = Math.floor(y1) + 0.5;\n", + " var min_x = Math.min(x0, x1);\n", + " var min_y = Math.min(y0, y1);\n", + " var width = Math.abs(x1 - x0);\n", + " var height = Math.abs(y1 - y0);\n", + "\n", + " fig.rubberband_context.clearRect(\n", + " 0,\n", + " 0,\n", + " fig.canvas.width / fig.ratio,\n", + " fig.canvas.height / fig.ratio\n", + " );\n", + "\n", + " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n", + " // Updates the figure title.\n", + " fig.header.textContent = msg['label'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n", + " var cursor = msg['cursor'];\n", + " switch (cursor) {\n", + " case 0:\n", + " cursor = 'pointer';\n", + " break;\n", + " case 1:\n", + " cursor = 'default';\n", + " break;\n", + " case 2:\n", + " cursor = 'crosshair';\n", + " break;\n", + " case 3:\n", + " cursor = 'move';\n", + " break;\n", + " }\n", + " fig.rubberband_canvas.style.cursor = cursor;\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_message = function (fig, msg) {\n", + " fig.message.textContent = msg['message'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n", + " // Request the server to send over a new figure.\n", + " fig.send_draw_message();\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n", + " fig.image_mode = msg['mode'];\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n", + " for (var key in msg) {\n", + " if (!(key in fig.buttons)) {\n", + " continue;\n", + " }\n", + " fig.buttons[key].disabled = !msg[key];\n", + " fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n", + " if (msg['mode'] === 'PAN') {\n", + " fig.buttons['Pan'].classList.add('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " } else if (msg['mode'] === 'ZOOM') {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.add('active');\n", + " } else {\n", + " fig.buttons['Pan'].classList.remove('active');\n", + " fig.buttons['Zoom'].classList.remove('active');\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Called whenever the canvas gets updated.\n", + " this.send_message('ack', {});\n", + "};\n", + "\n", + "// A function to construct a web socket function for onmessage handling.\n", + "// Called in the figure constructor.\n", + "mpl.figure.prototype._make_on_message_function = function (fig) {\n", + " return function socket_on_message(evt) {\n", + " if (evt.data instanceof Blob) {\n", + " /* FIXME: We get \"Resource interpreted as Image but\n", + " * transferred with MIME type text/plain:\" errors on\n", + " * Chrome. But how to set the MIME type? It doesn't seem\n", + " * to be part of the websocket stream */\n", + " evt.data.type = 'image/png';\n", + "\n", + " /* Free the memory for the previous frames */\n", + " if (fig.imageObj.src) {\n", + " (window.URL || window.webkitURL).revokeObjectURL(\n", + " fig.imageObj.src\n", + " );\n", + " }\n", + "\n", + " fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n", + " evt.data\n", + " );\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " } else if (\n", + " typeof evt.data === 'string' &&\n", + " evt.data.slice(0, 21) === 'data:image/png;base64'\n", + " ) {\n", + " fig.imageObj.src = evt.data;\n", + " fig.updated_canvas_event();\n", + " fig.waiting = false;\n", + " return;\n", + " }\n", + "\n", + " var msg = JSON.parse(evt.data);\n", + " var msg_type = msg['type'];\n", + "\n", + " // Call the \"handle_{type}\" callback, which takes\n", + " // the figure and JSON message as its only arguments.\n", + " try {\n", + " var callback = fig['handle_' + msg_type];\n", + " } catch (e) {\n", + " console.log(\n", + " \"No handler for the '\" + msg_type + \"' message type: \",\n", + " msg\n", + " );\n", + " return;\n", + " }\n", + "\n", + " if (callback) {\n", + " try {\n", + " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n", + " callback(fig, msg);\n", + " } catch (e) {\n", + " console.log(\n", + " \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n", + " e,\n", + " e.stack,\n", + " msg\n", + " );\n", + " }\n", + " }\n", + " };\n", + "};\n", + "\n", + "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n", + "mpl.findpos = function (e) {\n", + " //this section is from http://www.quirksmode.org/js/events_properties.html\n", + " var targ;\n", + " if (!e) {\n", + " e = window.event;\n", + " }\n", + " if (e.target) {\n", + " targ = e.target;\n", + " } else if (e.srcElement) {\n", + " targ = e.srcElement;\n", + " }\n", + " if (targ.nodeType === 3) {\n", + " // defeat Safari bug\n", + " targ = targ.parentNode;\n", + " }\n", + "\n", + " // pageX,Y are the mouse positions relative to the document\n", + " var boundingRect = targ.getBoundingClientRect();\n", + " var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n", + " var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n", + "\n", + " return { x: x, y: y };\n", + "};\n", + "\n", + "/*\n", + " * return a copy of an object with only non-object keys\n", + " * we need this to avoid circular references\n", + " * http://stackoverflow.com/a/24161582/3208463\n", + " */\n", + "function simpleKeys(original) {\n", + " return Object.keys(original).reduce(function (obj, key) {\n", + " if (typeof original[key] !== 'object') {\n", + " obj[key] = original[key];\n", + " }\n", + " return obj;\n", + " }, {});\n", + "}\n", + "\n", + "mpl.figure.prototype.mouse_event = function (event, name) {\n", + " var canvas_pos = mpl.findpos(event);\n", + "\n", + " if (name === 'button_press') {\n", + " this.canvas.focus();\n", + " this.canvas_div.focus();\n", + " }\n", + "\n", + " var x = canvas_pos.x * this.ratio;\n", + " var y = canvas_pos.y * this.ratio;\n", + "\n", + " this.send_message(name, {\n", + " x: x,\n", + " y: y,\n", + " button: event.button,\n", + " step: event.step,\n", + " guiEvent: simpleKeys(event),\n", + " });\n", + "\n", + " /* This prevents the web browser from automatically changing to\n", + " * the text insertion cursor when the button is pressed. We want\n", + " * to control all of the cursor setting manually through the\n", + " * 'cursor' event from matplotlib */\n", + " event.preventDefault();\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n", + " // Handle any extra behaviour associated with a key event\n", + "};\n", + "\n", + "mpl.figure.prototype.key_event = function (event, name) {\n", + " // Prevent repeat events\n", + " if (name === 'key_press') {\n", + " if (event.which === this._key) {\n", + " return;\n", + " } else {\n", + " this._key = event.which;\n", + " }\n", + " }\n", + " if (name === 'key_release') {\n", + " this._key = null;\n", + " }\n", + "\n", + " var value = '';\n", + " if (event.ctrlKey && event.which !== 17) {\n", + " value += 'ctrl+';\n", + " }\n", + " if (event.altKey && event.which !== 18) {\n", + " value += 'alt+';\n", + " }\n", + " if (event.shiftKey && event.which !== 16) {\n", + " value += 'shift+';\n", + " }\n", + "\n", + " value += 'k';\n", + " value += event.which.toString();\n", + "\n", + " this._key_event_extra(event, name);\n", + "\n", + " this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n", + " return false;\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n", + " if (name === 'download') {\n", + " this.handle_save(this, null);\n", + " } else {\n", + " this.send_message('toolbar_button', { name: name });\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n", + " this.message.textContent = tooltip;\n", + "};\n", + "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n", + "\n", + "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n", + "\n", + "mpl.default_extension = \"png\";/* global mpl */\n", + "\n", + "var comm_websocket_adapter = function (comm) {\n", + " // Create a \"websocket\"-like object which calls the given IPython comm\n", + " // object with the appropriate methods. Currently this is a non binary\n", + " // socket, so there is still some room for performance tuning.\n", + " var ws = {};\n", + "\n", + " ws.close = function () {\n", + " comm.close();\n", + " };\n", + " ws.send = function (m) {\n", + " //console.log('sending', m);\n", + " comm.send(m);\n", + " };\n", + " // Register the callback with on_msg.\n", + " comm.on_msg(function (msg) {\n", + " //console.log('receiving', msg['content']['data'], msg);\n", + " // Pass the mpl event to the overridden (by mpl) onmessage function.\n", + " ws.onmessage(msg['content']['data']);\n", + " });\n", + " return ws;\n", + "};\n", + "\n", + "mpl.mpl_figure_comm = function (comm, msg) {\n", + " // This is the function which gets called when the mpl process\n", + " // starts-up an IPython Comm through the \"matplotlib\" channel.\n", + "\n", + " var id = msg.content.data.id;\n", + " // Get hold of the div created by the display call when the Comm\n", + " // socket was opened in Python.\n", + " var element = document.getElementById(id);\n", + " var ws_proxy = comm_websocket_adapter(comm);\n", + "\n", + " function ondownload(figure, _format) {\n", + " window.open(figure.canvas.toDataURL());\n", + " }\n", + "\n", + " var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n", + "\n", + " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n", + " // web socket which is closed, not our websocket->open comm proxy.\n", + " ws_proxy.onopen();\n", + "\n", + " fig.parent_element = element;\n", + " fig.cell_info = mpl.find_output_cell(\"
\");\n", + " if (!fig.cell_info) {\n", + " console.error('Failed to find cell for figure', id, fig);\n", + " return;\n", + " }\n", + " fig.cell_info[0].output_area.element.one(\n", + " 'cleared',\n", + " { fig: fig },\n", + " fig._remove_fig_handler\n", + " );\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_close = function (fig, msg) {\n", + " var width = fig.canvas.width / fig.ratio;\n", + " fig.cell_info[0].output_area.element.off(\n", + " 'cleared',\n", + " fig._remove_fig_handler\n", + " );\n", + "\n", + " // Update the output cell to use the data from the current canvas.\n", + " fig.push_to_output();\n", + " var dataURL = fig.canvas.toDataURL();\n", + " // Re-enable the keyboard manager in IPython - without this line, in FF,\n", + " // the notebook keyboard shortcuts fail.\n", + " IPython.keyboard_manager.enable();\n", + " fig.parent_element.innerHTML =\n", + " '';\n", + " fig.close_ws(fig, msg);\n", + "};\n", + "\n", + "mpl.figure.prototype.close_ws = function (fig, msg) {\n", + " fig.send_message('closing', msg);\n", + " // fig.ws.close()\n", + "};\n", + "\n", + "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n", + " // Turn the data on the canvas into data in the output cell.\n", + " var width = this.canvas.width / this.ratio;\n", + " var dataURL = this.canvas.toDataURL();\n", + " this.cell_info[1]['text/html'] =\n", + " '';\n", + "};\n", + "\n", + "mpl.figure.prototype.updated_canvas_event = function () {\n", + " // Tell IPython that the notebook contents must change.\n", + " IPython.notebook.set_dirty(true);\n", + " this.send_message('ack', {});\n", + " var fig = this;\n", + " // Wait a second, then push the new image to the DOM so\n", + " // that it is saved nicely (might be nice to debounce this).\n", + " setTimeout(function () {\n", + " fig.push_to_output();\n", + " }, 1000);\n", + "};\n", + "\n", + "mpl.figure.prototype._init_toolbar = function () {\n", + " var fig = this;\n", + "\n", + " var toolbar = document.createElement('div');\n", + " toolbar.classList = 'btn-toolbar';\n", + " this.root.appendChild(toolbar);\n", + "\n", + " function on_click_closure(name) {\n", + " return function (_event) {\n", + " return fig.toolbar_button_onclick(name);\n", + " };\n", + " }\n", + "\n", + " function on_mouseover_closure(tooltip) {\n", + " return function (event) {\n", + " if (!event.currentTarget.disabled) {\n", + " return fig.toolbar_button_onmouseover(tooltip);\n", + " }\n", + " };\n", + " }\n", + "\n", + " fig.buttons = {};\n", + " var buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " var button;\n", + " for (var toolbar_ind in mpl.toolbar_items) {\n", + " var name = mpl.toolbar_items[toolbar_ind][0];\n", + " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n", + " var image = mpl.toolbar_items[toolbar_ind][2];\n", + " var method_name = mpl.toolbar_items[toolbar_ind][3];\n", + "\n", + " if (!name) {\n", + " /* Instead of a spacer, we start a new button group. */\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + " buttonGroup = document.createElement('div');\n", + " buttonGroup.classList = 'btn-group';\n", + " continue;\n", + " }\n", + "\n", + " button = fig.buttons[name] = document.createElement('button');\n", + " button.classList = 'btn btn-default';\n", + " button.href = '#';\n", + " button.title = name;\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', on_click_closure(method_name));\n", + " button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n", + " buttonGroup.appendChild(button);\n", + " }\n", + "\n", + " if (buttonGroup.hasChildNodes()) {\n", + " toolbar.appendChild(buttonGroup);\n", + " }\n", + "\n", + " // Add the status bar.\n", + " var status_bar = document.createElement('span');\n", + " status_bar.classList = 'mpl-message pull-right';\n", + " toolbar.appendChild(status_bar);\n", + " this.message = status_bar;\n", + "\n", + " // Add the close button to the window.\n", + " var buttongrp = document.createElement('div');\n", + " buttongrp.classList = 'btn-group inline pull-right';\n", + " button = document.createElement('button');\n", + " button.classList = 'btn btn-mini btn-primary';\n", + " button.href = '#';\n", + " button.title = 'Stop Interaction';\n", + " button.innerHTML = '';\n", + " button.addEventListener('click', function (_evt) {\n", + " fig.handle_close(fig, {});\n", + " });\n", + " button.addEventListener(\n", + " 'mouseover',\n", + " on_mouseover_closure('Stop Interaction')\n", + " );\n", + " buttongrp.appendChild(button);\n", + " var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n", + " titlebar.insertBefore(buttongrp, titlebar.firstChild);\n", + "};\n", + "\n", + "mpl.figure.prototype._remove_fig_handler = function (event) {\n", + " var fig = event.data.fig;\n", + " fig.close_ws(fig, {});\n", + "};\n", + "\n", + "mpl.figure.prototype._root_extra_style = function (el) {\n", + " el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n", + "};\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function (el) {\n", + " // this is important to make the div 'focusable\n", + " el.setAttribute('tabindex', 0);\n", + " // reach out to IPython and tell the keyboard manager to turn it's self\n", + " // off when our div gets focus\n", + "\n", + " // location in version 3\n", + " if (IPython.notebook.keyboard_manager) {\n", + " IPython.notebook.keyboard_manager.register_events(el);\n", + " } else {\n", + " // location in version 2\n", + " IPython.keyboard_manager.register_events(el);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype._key_event_extra = function (event, _name) {\n", + " var manager = IPython.notebook.keyboard_manager;\n", + " if (!manager) {\n", + " manager = IPython.keyboard_manager;\n", + " }\n", + "\n", + " // Check for shift+enter\n", + " if (event.shiftKey && event.which === 13) {\n", + " this.canvas_div.blur();\n", + " // select the cell after this one\n", + " var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n", + " IPython.notebook.select(index + 1);\n", + " }\n", + "};\n", + "\n", + "mpl.figure.prototype.handle_save = function (fig, _msg) {\n", + " fig.ondownload(fig, null);\n", + "};\n", + "\n", + "mpl.find_output_cell = function (html_output) {\n", + " // Return the cell and output element which can be found *uniquely* in the notebook.\n", + " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n", + " // IPython event is triggered only after the cells have been serialised, which for\n", + " // our purposes (turning an active figure into a static one), is too late.\n", + " var cells = IPython.notebook.get_cells();\n", + " var ncells = cells.length;\n", + " for (var i = 0; i < ncells; i++) {\n", + " var cell = cells[i];\n", + " if (cell.cell_type === 'code') {\n", + " for (var j = 0; j < cell.output_area.outputs.length; j++) {\n", + " var data = cell.output_area.outputs[j];\n", + " if (data.data) {\n", + " // IPython >= 3 moved mimebundle to data attribute of output\n", + " data = data.data;\n", + " }\n", + " if (data['text/html'] === html_output) {\n", + " return [cell, data, j];\n", + " }\n", + " }\n", + " }\n", + " }\n", + "};\n", + "\n", + "// Register the function which deals with the matplotlib target/channel.\n", + "// The kernel may be null if the page has been refreshed.\n", + "if (IPython.notebook.kernel !== null) {\n", + " IPython.notebook.kernel.comm_manager.register_target(\n", + " 'matplotlib',\n", + " mpl.mpl_figure_comm\n", + " );\n", + "}\n" + ], "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] }, + "metadata": {}, "output_type": "display_data" } ], diff --git a/notebooks/02_visualization/README.rst b/notebooks/02_visualization/README.rst new file mode 100644 index 00000000..04163f70 --- /dev/null +++ b/notebooks/02_visualization/README.rst @@ -0,0 +1 @@ +index.rst diff --git a/notebooks/02_visualization/index.rst b/notebooks/02_visualization/index.rst new file mode 100644 index 00000000..6e7d470f --- /dev/null +++ b/notebooks/02_visualization/index.rst @@ -0,0 +1,23 @@ +Visualization +================== + +This folder contains notebooks demonstrating the various plotting functions in sidpy. + +Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, +others were developed for scientific applications. +These functions have been developed +to substantially simplify the generation of high quality figures for journal publications. + +* `1D / curve plotting `_ +* `2D / image plotting `_ +* `Color map utilities `_ +* `Miscellaneous plotting utilities `_ + +.. toctree:: + :maxdepth: 1 + :hidden: + + plot_1d.ipynb + plot_2d.ipynb + plot_cmap.ipynb + plot_misc.ipynb diff --git a/notebooks/02_visualization/plot_1d.ipynb b/notebooks/02_visualization/plot_1d.ipynb new file mode 100644 index 00000000..577d58ff --- /dev/null +++ b/notebooks/02_visualization/plot_1d.ipynb @@ -0,0 +1,369 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1D plotting utilities\n", + "===============\n", + "\n", + "**Suhas Somnath**\n", + "\n", + "8/12/2017\n", + "\n", + "### Table of contents:\n", + "* [use_scientific_ticks](#use_scientific_ticks)\n", + "* [plot_curves](#plot_curves)\n", + "* [plot_line_family](#plot_line_family)\n", + "* [plot_complex_spectra](#plot_complex_spectra)\n", + "* [rainbow_plot](#rainbow_plot)\n", + "* [plot_scree](#plot_scree)\n", + "\n", + "#### Import necessary packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from __future__ import division, print_function, absolute_import, unicode_literals\n", + "import numpy as np\n", + "from warnings import warn\n", + "import matplotlib.pyplot as plt\n", + "import subprocess\n", + "import sys\n", + "\n", + "\n", + "def install(package):\n", + " subprocess.call([sys.executable, \"-m\", \"pip\", \"install\", package])\n", + "# Package for downloading online files:\n", + "try:\n", + " import sidpy\n", + "except ImportError:\n", + " warn('sidpy not found. Will install with pip.')\n", + " import pip\n", + " install('sidpy')\n", + " import sidpy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "use_scientific_ticks() \n", + "------------------------\n", + "Often scientific plots look ugly because of the way tick marks are formatted for small or large values.\n", + "use_scientific_ticks() is a handy function that can convert tick marks on 1D plots to scientific form" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(ncols=2, figsize=(8, 4))\n", + "x_vec = np.linspace(0, 2*np.pi, 128)\n", + "for axis, title in zip(axes.flat, ['Default', 'Scientific']):\n", + " axis.plot(x_vec, np.sin(x_vec) * 1E-6)\n", + " axis.set_title(title)\n", + " \n", + "# Changing how the tick marks on the Y axis are formatted only on the second axis:\n", + "sidpy.viz.plot_utils.use_scientific_ticks(axes[1], is_x=False)\n", + "\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot_curves() \n", + "---------------\n", + "This function is particularly useful when we need to plot a 1D signal acquired at multiple locations.\n", + "The function is rather flexible and can take on several optional arguments that will be alluded to below\n", + "In the below example, we are simply simulating sine waveforms for different frequencies (think of these as\n", + "different locations on a sample)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "# The different frequencies:\n", + "freqs = np.linspace(0.5, 5, 9)\n", + "# Generating the signals at the different \"positions\"\n", + "y_mat = np.array([np.sin(freq * x_vec) for freq in freqs])\n", + "\n", + "sidpy.viz.plot_utils.plot_curves(x_vec, y_mat);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Frequently, we may need to compare signals from two different datasets for the same positions\n", + "The same plot_curves function can be used for this purpose even if the signal lengths / resolutions are different" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_vec_1 = np.linspace(0, 2*np.pi, 256)\n", + "x_vec_2 = np.linspace(0, 2*np.pi, 32)\n", + "freqs = np.linspace(0.5, 5, 9)\n", + "y_mat_1 = np.array([np.sin(freq * x_vec_1) for freq in freqs])\n", + "y_mat_2 = np.array([np.cos(freq * x_vec_2) for freq in freqs])\n", + "\n", + "sidpy.viz.plot_utils.plot_curves([x_vec_1, x_vec_2], [y_mat_1, y_mat_2],\n", + " title='Sine and Cosine of different resolutions');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot_line_family() \n", + "-------------------\n", + "Often there is a need to visualize multiple spectra or signals on the same plot. plot_line_family\n", + "is a handy function ideally suited for this purpose and it is highly configurable for different styles and purposes\n", + "A few example applications include visualizing X ray / IR spectra (with y offsets), centroids from clustering\n", + "algorithms" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "freqs = range(1, 5)\n", + "y_mat = np.array([np.sin(freq * x_vec) for freq in freqs])\n", + "freq_strs = [str(_) for _ in freqs]\n", + "\n", + "fig, axes = plt.subplots(ncols=3, figsize=(12, 4))\n", + "sidpy.viz.plot_utils.plot_line_family(axes[0], x_vec, y_mat)\n", + "axes[0].set_title('Basic line family')\n", + "\n", + "# Option suitable for visualizing spectra with y offsets:\n", + "sidpy.viz.plot_utils.plot_line_family(axes[1], x_vec, y_mat, \n", + " line_names=freq_strs, label_prefix='Freq = ', label_suffix='Hz',\n", + " y_offset=2.5)\n", + "axes[1].legend()\n", + "axes[1].set_title('Line family with legend')\n", + "\n", + "# Option highly suited for visualizing the centroids from a clustering algorithm:\n", + "sidpy.viz.plot_utils.plot_line_family(axes[2], x_vec, y_mat, \n", + " line_names=freq_strs, label_prefix='Freq = ', label_suffix='Hz',\n", + " y_offset=2.5, show_cbar=True)\n", + "axes[2].set_title('Line family with colorbar');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot_complex_spectra() \n", + "-----------------------\n", + "This handy function plots the amplitude and phase components of multiple complex valued spectra\n", + "Here we simulate the signal coming from a simple harmonic oscillator (SHO). " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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q+3WVu1buLew71OBGF9Nhrq75PL2va8LxWti7E/R1zbBJdFS1Eq+v++8icp6IxLk+7LNE5A+u2EPAT0Ukw43R+Dle9nuwjhCRC9yR3XfwKr/38Abt1QE/cjGciNeX/HAv1vk8MFlELm/vgxeRI0Xk0F7GVAyM72b+A8CnReQ419/7K+BJVd2vRacnIjIfbyDcUXhN2rOBGXh94305I+LzIjLNNVX/Cnjcd/TblWJgtOsPb7cSuMB9FyYCX/LNewGY7vv8vsW+ldPtwE/cWWqISLKI+Jv091LVJuA19m0uTsQbTF0jIlOB7v55rHKxzBaRGHroX3dljsAbX2EGmdU1e/VU17R/V9vHmkS71wfMHUScgtfd1l7XzMI7/bkvdc3ZIrLA1Ru/Bt5T1bwelikG0kQk2TdtpVvXCHeg8h3fvHfxWqK+5fbxBXh1Zrt/A9eKyDzxxIvIp0Skq+EEL7J/XVMDVLr99MNuYv8EiHHrj8QbN7bfWKAOTgC6amULCsMm0QFQ1T8B38P78ErxMuVv4A0EA2/U/HK8wWof442C78s1Ap4BLsbrurgcuMD1wTbhVTZn4bVE3AZcoaobevEeqoHT8QYBFuA1Hf+enr+M7W4A7nFNoBd1sv61eONPHsA7CyGRgx8keyXwjKp+rKpF7Q/gr8A5cvDX57kP7yyGIryxCN/qxTKL8FqrikSkvfXnL3h98sXAPfgGGqrqbrz+/pvwuiIm4Z2x0T7/Kbz9/rBrDl6D93l2pf2U/XY/wDvSrMaryPYZrCkia0XkMretT/ASuteATcCSDmWv79Cc/2ngTe1hEKQZOFbXAD3UNU493j9h8Fo467so15PLgZWq+kqHuuYWYKaIzDjI9T4I/AKvy+oIenF5DLdvHwK2uveejVdnrcI7g+kVfL939xldgHf2Vzne5/ikb/5y4Bq8MzP34LUQf6GbEP4FXOZrIfolcDjeWMsX/OuGvRdWvd5tqxKvvv8PXqtfLV43aHvZy0Rkre/1kUCNeqeZBy3Zt1vQ9BcRuQHv1MPhet2YASEibwL3q+p/Ah3LgRKRd4Bv6ABfNFBElgFfUtU1A7kdExysrhkYInI33qnWP+2pbLARkQeBR1X16R4L9207TwB3qOqLPRYOoO4Gyxlj+pGqHttzqX7ZzqBdEdYYE3xUtS/jkg5kO/12sceBNKy6rowxxhgzvFjXlTHGGGNClrXoGGOMMSZkBWyMTnp6uubm5gZq88aYAbJixYrdqtrTtTcGjdU1xoSeA6lnApbo5Obmsnz58kBt3hgzQERkR8+lBo/VNcaEngOpZ6zryhhjjDEhyxIdY4wxxoQsS3SM6cL728o58+a3ufudbYEOxRjTDVXlN8+v4xsPfkhrm51JbPZlFww0pgNV5Y4l2/jdfzcQFR7GDc+tI7+inp+cdShhYV3dC88YEyj3vbeD/yzxDkhm5CRz7QkTAhyRCSaW6Bjjo6p895GVPL2ygNOnZfF/n53Fn1/dyL8Xb6OwsoE/XTSL6IjwQIdpjHHe31bOr55bxylTM4mKCONPr2xkwcR0ZuQk97ywGRas68oYnzc2lvD0ygK+cdJE/nn5ESTHRXLDudP58VlTeX51IXe9sz3QIQ4LIjJGRN4QkXXuBqffdtNHiMirIrLJ/U0NdKwmcAor6/naAysYMyKOv1wymxvPP4wR8VF8++GPqG9qDXR4JkhYomOMz21vbCEnJZZvnzqJ9pv/igjXnjCBYyemcdc722hqaQtwlMNCC/B9VZ0GHA18XUSmAT8GXlfVScDr7rUZpm767wbqmlr51+VHkBQTSWp8FH+6cDZbSmv54ysbAx2eCRKW6BjjvL+tnOU79nDNcYcQGb7/T+Oa48ZTXNXIs6sKAhDd8KKqhar6oXteDawHcoCFwD2u2D3AeYGJ0ARaY0srr68v4dMzs5mUlbh3+oJJ6Zw/J4dHl+fR3GoHJcYSHWP2uu3NzaTFR3HxkWM7nX/C5AymZCXy77e3YveIGzwikgvMAZYBWapa6GYVAVldLPNlEVkuIstLS0sHJU4zuJZuLqOmsYUzZuz/FTj7sFFUN7SwbGt5ACIzwcYSHWOAdQVVvLmxlC8em0tsVOeDjUWEa44fz8biat7etHuQIxyeRCQBeAL4jqpW+eepl212mnGq6r9Uda6qzs3ICJq7UZh+9PLaIhKiIzhmQvp+8xZMTCcmMoxX1xUFIDITbCzRMQb4x1tbSIiO4PL5ud2WO3dWNllJ0fzr7S2DE9gwJiKReEnOA6r6pJtcLCKj3PxRQEmg4jOB09qmvLqumBOnZBATuf+BSWxUOAsmZvDa+hJrfTWW6BhTUt3Aix8XculRY0iOjey2bFREGF845hDe2VzG2oLKQYpw+BFvJPgdwHpV/bNv1rPAle75lcAzgx2bCbwVO/ZQVtvEGdNHdlnm9GlZ5FfUs66wqssyZniwRMcMe8+tKqS1Tbn4yDG9Kv+5o8YSFR7GEyvyBziyYe1Y4HLgZBFZ6R5nAzcBp4nIJuBU99oMMy+vLSIqPIwTp3TdLXnS1ExE4NV1xYMYmQlGluiYYe+pj3ZxWE4yEzMTey4MJMdFcuKUDJ5bXWCXmx8gqrpEVUVVZ6rqbPd4UVXLVPUUVZ2kqqeqqo02HWZUlZfXFnHsxDQSY7pugc1IjObwsam8tt4SneHOEh0zrG0qrmZNfhXnz8k5oOUWzs6htLqRd7eUDVBkxpjOrCusYtee+m67rdqdNi2LNflVFFTUD0JkJlhZomOGtadX5hMeJnx6VvYBLXfKoZkkREfwzErrvjJmML2ytpgwgVOndXplgX2ceqhXxlp1hjdLdMyw1damPP1RAcdNSicjMfqAlo2JDOfMGSN5aU0RDc12qXljBstbn5Qya0wK6Qk9/2YnZiYwPj2e19bbyXnDmSU6Ztj6YHs5+RX1B9xt1e682TlUN7awaINVosYMhsq6ZlbvquD4Sb2/NtLxkzNYtrXMDkiGsR4THRGZ4jvrYaWIVInIdzqUOVFEKn1lfj5wIRvTP55emU9cVDin9aIJvDPzJ6SRkRht3VfGDJKlW3bTpnDcpP0vEtiV4yal09jSxoodewYwMhPMInoqoKobgdkAIhIO5ANPdVJ0saqe07/hGTMwGltaeWF1IWdOH0lcVI8/g06FhwmfnpnN/e/toLKumeS47q/BY4zpm7c37SYxOoJZY1J6vcy88WlEhAmLN+3m2Im9T5BM6DjQrqtTgC2qumMggjFmsLy5sZSqhhbOO8huq3bnzcmmqbWNl9YW9lzYGHPQVJXFm0qZPyGt05vudiUhOoLDx6ayZLPd82y4OtBE5xLgoS7mzReRVSLyXxGZ3lkBu9GeCRbPriwgPSGKYyak9Wk9h+Ukk5sWZ3c0N2aA7SirY9ee+gPqtmq3YFI6awuqKK9tGoDITLDrdaIjIlHAucBjncz+EBinqrOAvwFPd7YOu9GeCQbVDc28tr6Yc2ZmE3EAR4adERHOnZXNu1vKKKlq6KcIjTEdLd7kHRwfdwADkdstmJSOKryz2W7GOxwdSC1/FvChqu53QQJVrVLVGvf8RSBSRKwz1ASll9cW09jSdsDXzunKubOzaVN4frV1XxkzUN7etJsxI2IZlxZ3wMvOzEkmMSaCJZss0RmODiTRuZQuuq1EZKS7CR8icpRbr10y1gSlZ1bmMzo1lsPH9n5AY3cmZiYybVSSdV8ZM0CaW9t4b0sZx03KwP2rOSAR4WEcMyGNJZt3293Mh6FeJToiEg+cBjzpm3atiFzrXn4WWCMiq4BbgEvUvk0mCJVWN/LO5t0snJ19UBVmV86dnc3KvAp2ltX12zqNMZ5VeRVUN7ZwXB/OmlowKYP8inq27a7tx8jMUNCrREdVa1U1TVUrfdNuV9Xb3fNbVXW6qs5S1aNVdelABWxMX7ywuoA29e5V1Z/au8GeW22tOsb0t7c/KSVM4JgJB5/otCdJS2yczrBjV0Y2w8rTKwuYOjKRyVm9u1N5b+WkxDJ3XKpdPNCYAbBoYwlHjEvt07WqxqXFMWZELG9/Ymf8DjeW6JhhY3NJNSvzKg76lg89WTg7m0+Ka1hXUDUg6zdmOCqqbGBNfhUnTz24K5i3ExFOmpLJks277XYQw4wlOmbYeGz5LsLDhAsOHz0g6//UzGwiw4XHV+wakPUbMxy130vulEMz+7yuk6dm0tDcxrtb7FyZ4cQSHTMsNLe28cSH+Zw8NfOA71TeWyPiozhtWhZPr8ynqaVtQLZhzHCzaEMxo1NjmZSZ0Od1HT0+jbiocF7fsN9VUkwIs0THDAtvbixld00jF80dM6DbuXDuGMprm1hkFakxfdbQ3MqSzbs59dCsfjlLMiYynAUT01m0vsROMx9GLNExw8Kjy/NIT4jmxCkDe0Xu4ydlkJUUzWPLrfvKmL56d0sZDc1tnDy1791W7U45NJOCygY2FFX32zpNcLNEx4S8kuoGFm0o4TOH5xzQzQAPRniY8JnDR/PGxhKK7ZYQxvTJa+uLiYsKZ974Ef22zpOmeEnT6+ut1XW4sETHhLynP8qntU25cIC7rdp99ojRtCk8+aGdam7MwVJVFm0o4bhJ6URHhPfbejOTYpg1OpnX3SBnE/os0TEhra1NefiDPA4fm8LEfhjM2BvjMxI4MjeVx1bk2TgAYw7S+sJqCisbOKWPp5V35uSpWazMq2B3TWO/r9sEH0t0TEh7a1MpW0truWJ+7qBu98K5Y9haWsuybeWDul1jQsUr64oQgROn9v+4ulMOzUTVO0nBhD5LdExIu3PJNjITozn7sFGDut1zZ2WTGhfJnUu2Dep2jQkFqsqzKwuYd8gIMhNj+n3907OTGJkUw0trivp93Sb4WKJjQtYnxdUs3rSbK4/JJSpicL/qMZHhXDZvHK+uL7YbfRpzgD7Or2Tr7lrO6+d70rUTEc6ZOYq3Pimhoq5pQLZhgoclOiZk3fXONqIjwrj0qLEB2f7l88cRLsLdS7cHZPvGDFVPf1RAVHgYZw1gS+x5c3JoblVe+LhwwLZhgoMlOiYkldc28eSH+Vxw+GhGxEcFJIaspBjOmTmKR5fnUd3QHJAYjBlqWtuU51YXcNLUDJJjD/4mnj2Znp3ExMwEnvmoYMC2YYKDJTomJD24bAeNLW1cdWxuQOO4asEh1DS28KhdQNCYXlm6ZTel1Y0D1m3VTkQ4b3Y2728vZ9ce614OZZbomJBT29jCXe9s54TJGUzKSgxoLDNHpzB3XCp3L91Ga5udam5MT576KJ/EmAhO6serIXdloUumnllprTqhzBIdE3LuXrqdstomvn3qpECHAsDVx40nr7yeZ1fZBQSN6U59Uysvryni7BmjiInsv4sEdmXMiDjmjkvl6Y/y7ZpXIaxXiY6IbBeRj0VkpYgs72S+iMgtIrJZRFaLyOH9H6oxPatqaOZfb2/llKmZHD42NdDhAHD6tCymjUri5tc20dxqdzU3piuvrCuitqmVhXOyB22bC+fksKmkhnWFVYO2TTO4DqRF5yRVna2qczuZdxYwyT2+DPyjP4Iz5kDdsXgblfXNfPe0yYEOZa+wMOH7p09mR1kdT6ywsTrGdOXed3cwLi2OeYekDdo2zzlsFBFhwhMrrMU1VPVX19VC4F71vAekiMjgXqHNDHt7apu4Y8k2zpoxkhk5yYEOZx8nT81k9pgU/rZoM40trYEOx5igszKvghU79vCFY3IJD5NB225qfBRnHTaKx5bnUdPYMmjbNYOnt4mOAq+IyAoR+XIn83OAPN/rXW7aPkTkyyKyXESWl5bapbdN/7r97S3UNrUEVWtOOxGvVSe/op5HPsjreQFjhpm73tlGYnTEoN181++qY3Opbmzh8eX22wxFvU10Fqjq4XhdVF8XkeMPZmOq+i9VnauqczMy+v/+JWb42lpaw11LtnP+nBwmB/hMq64smJjOUYeM4NZFm6m1I0dj9iqqbOCF1YVcdOQYEqIjBn37c8amcvjYFO5aut3OjgxBvUp0VDXf/S0BngKO6lAkH/Cn4aPdNGMGnKry82fWEh0Zxo/PmhrocLokIlx35lRKqhu5ZdGmQIdjTNC4993ttKnyhWNyAxbDlxaMZ0dZHa+vLw5YDGZg9JjoiEjIOO37AAAgAElEQVS8iCS2PwdOB9Z0KPYscIU7++pooFJV7braZlC88HEhSzbv5genTxmQGwD2pyPGpXLR3NHcsXgbm4qrAx2OMQFX39TKg+/v5PRpIxkzIi5gcZwxPYuclFjufMduxBtqetOikwUsEZFVwPvAC6r6kohcKyLXujIvAluBzcC/ga8NSLTGdFDT2MKvn1/H9OwkPn/0uECH0yvXnTmV+OgIfvr0Grt2RxdE5E4RKRGRNb5pI0TkVRHZ5P4Gx/UDTJ888sFOKuqa+WKAr2IeER7GlceM472t5awtqAxoLKZ/9ZjoqOpWVZ3lHtNV9bdu+u2qert7rqr6dVWdoKqHqep+19oxZiD86ZWNlFQ38pvzZgzqmRp9kZYQzY/OnMKybeV2Rdau3Q2c2WHaj4HXVXUS8Lp7bYaw6oZm/rZoM/PHp3HUISMCHQ4XHzmW+Khwbl20OdChmH5kV0Y2Q9biTaXc9c52Lj96HHOC5OKAvXXJkWOZNSaF37ywjrKaxkCHE3RU9W2gvMPkhcA97vk9wHmDGpTpd/9evI2y2iZ+fNZURAJ/oJIcG8k1x4/nv2uK+HDnnkCHY/qJJTpmSCqraeR7j65iUmYC1599aKDDOWDhYcJNFxxGVX0L1z2x2rqweifLN/avCK9bvVN2KYvgV1LdwH8Wb+VTM0cxa0xKoMPZ65rjxpOeEM1NL26w32WIsETHDDmqynVPrKayrplbLp0zKPfEGQiHjkriurOm8tr6Eu5ftjPQ4Qwp6v0H6vK/kF3KIvjd8vommlra+OHpUwIdyj7ioyP49qmTeH97Oa+vLwl0OKYfWKJjhpz73tvBa+tL+PFZUzl0VFKgw+mTLx6Ty/GTM/jN8+vsLKyeFbdfcd39tf9CQ9SW0hoeej+Pz80bS256fKDD2c8lR45hfHo8v39pAy12f7ohzxIdM6Qs3bybXz23jpOnZgb8LI3+EBYm/PHCmSRER/DNhz6irskuJNiNZ4Er3fMrgWcCGIs5SK1tynWPryY+KpxvnTIp0OF0KjI8jB+eMYVNJTU8bFcyH/Is0TFDxtbSGr76wIeMz4jnr5fMDorBi/0hMzGGP100i0+Kq/neI6tosyuzIiIPAe8CU0Rkl4h8CbgJOE1ENgGnutdmiLln6XaW79jDDedOJz0hOtDhdOnMGSOZPz6Nm/67gfyK+kCHY/rAEh0zJFTWNXP1PcsJDxPuuPJIEmMiAx1SvzpxSib/71PTeGltEX98ZWOgwwk4Vb1UVUepaqSqjlbVO1S1TFVPUdVJqnqqqnY8K8sEue27a/nDyxs4ZWom58/Z73aIQUVE+MNnZ9Kmyo/thIEhzRIdE/RqG1u46p4P2LWnnn9efkRAr546kK46NpdLjxrLbW9u4YkVuwIdjjH9qq1N+dHjq4kKD+PGCw4bEi2yY0bE8ZOzprJ4027rwhrCLNExQa2uqYUv3v0BK/MquPmS2RyZG/iLig0UEeFXC6dzzIQ0rntiNa+us3vumNDxt0WbeX97OT87ZxpZScF9qxa/y+aNY/74NH77wnp27akLdDjmIFiiY4JWQ3Mr19y7nOXby/nzRbM4+7BRgQ5pwEWGh/HPy49gRk4yX3tgBW9ssBOLzND36rpi/vLaJ1xweA6fPWJ0oMM5IGFhXhcWwNce+JCG5tYAR2QOlCU6JihV1jdz5Z3vs3RLGf/32VksnB3c/fn9KTEmknuuOoopIxP5yv0rePsTu+CdGbo2l1Tz3UdWclhOMjeePzS6rDoaMyKOP180i9W7Krn+yY9tvM4QY4mOCToFFfVcePtSPty5h5svns1nhtgRYH9Ijo3k/i/NY0JGAlffs5znVtk9sczQU1HXxJfvXUF0hNdSOVQv7glw+vSRfPfUyTz5UT53LLE7nA8lluiYoLImv5Lzb3uHwooG7rnqqGHVktNRSlwUD10zj1ljkvnmQx/xn8VbAx2SMb1W1eC1yu7aU89tlx1OdkpsoEPqs2+ePJEzpmdx44vrWbTBxtANFZbomKDx6PI8PvOPpYSJ8NhX53PMhPRAhxRwKXFR3PeleZw1YyS/eWE9v3hmDc12pVYT5GobW7jqrg9YW1DFbZcdzrzxaYEOqV+EhQl/vmg207KTuPb+D1myaXegQzK9YImOCbiG5lZ+/MRqfvT4ao4Yl8pz31zA1JFD+9YO/SkmMpy/f+5wrl5wCPe8u4NL//UeRZUNgQ7LmE7VNbVwzb3L+XDnHv56yRxOndblvVeHpPjoCO67ah7j0+O5+t4PWLa1LNAhmR5YomMCamVeBZ+6ZTEPf5DHN06ayH1fmhfUV0sNlLAw4afnTOOWS+ewrrCKc/62mHc229GkCS4l1Q1c8q/3eG9rGX+6aBafmhmaZ0qmxkdx/9XzyEmJ5aq7P+DdLZbsBDNLdExANLa08seXN/KZfyylrqmVe686ih+cMYXwsKF3RsZgOndWNs98/ViSYyO57D/LuOHZtdQ32emuJvA2l1RzwW1L2VRcw7+vmMv5c0L7JIL0hGgevOZoRqXEcsWdy3jqI7vIZ7DqMdERkTEi8oaIrBORtSLy7U7KnCgilSKy0j1+PjDhmlDw1ielnHnzYm59YzPnz8nhpe8cz/GTMwId1pAxKSuR5795HF84Jpe7l27n7FsW88F2uxuCCZzX1hVzwW1LaWhu5ZGvHM0ph4ZWd1VXspJieOLaYzhiXCrffWQVf3t9k516HoR606LTAnxfVacBRwNfF5FpnZRbrKqz3eNX/RqlCQk7ymq59r4VXHnn+wDcc9VR/PHCWSTHhtZ9qwZDbFQ4N5w7nQevmUdzaxsX3v4u33t0JaXVjYEOzQwjza1t/PaFdVx973JGp8bx1NeOZebolECHNaiS47zrXp03O5s/vfoJX3vgQyrrmwMdlvGJ6KmAqhYChe55tYisB3KAdQMcmwkRJVUN/G3RZh56fyeR4WH88IwpXH3cIURHDN1ragSLYyak88p3j+fWRZv59+KtvLq2mG+dMonL548b0tcsMcFvc0k1P3hsNSvzKrhi/jiuP/vQYfudi44I5y8Xe2dj/eGljXycv5hbP3c4s8cMr6QvWMmBNLOJSC7wNjBDVat8008EngB2AQXAD1R1bSfLfxn4MsDYsWOP2LFjRx9CN8GuqLKBfy/eyoPLdtLc2sYlR43hWydPInMI3edmKNlaWsMvn1vHW5+Ukp0cw3dOncwFh+cQET64Q/FEZIWqzh3UjXZj7ty5unz58kCHETKaWtq4/a0t3LpoM3HR4fz2vMNCdtDxwfhw5x6++eBHFFc18LWTJvL1kybYQd0AOJB6pteJjogkAG8Bv1XVJzvMSwLaVLVGRM4G/qqqk7pbn1U+oWtTcTV3vrONx1fsok1h4axsvnXKJHLT4wMd2rCwdPNufv/yRlblVZCbFse1J0zg/MNzBq2ytUQndC3eVMqvn1/HJ8U1nDNzFL/49HQyEu0syY4q65q54bm1PPVRPhMzE7jpgsOYG8I3JA6Efk90RCQSeB54WVX/3Ivy24G5qtrl+a9W+YSWltY2Xt9Qwj1Lt7N0SxlREWFcPHcMXz5+PGNGxAU6vGFHVXllXTF/f2Mzq3dVkpUUzRePPYSL544hNT5qQLdtiU7o2VRczY0vrueNjaWMGRHLz8+Zzmkhdn2cgfDGxhJ++tQa8ivqOW92Nj88cyo5IXCF6GDQr4mOeHdguwcoV9XvdFFmJFCsqioiRwGPA+O0m5Vb5RMatpbW8OjyXTzx4S5KqxsZlRzD548ex6VHjWXEAP9DNT1TVZZs3s0/3tzC0i1lREeEcf6cHC6bN44ZOUkDcoNFS3RCxyfF1fxt0WaeX11AQnQE3zx5Ilcek2tdMQegtrGFW9/YzB1LtiHAVQsO4SvHjyclzurHvujvRGcBsBj4GGi/9vz1wFgAVb1dRL4BfBXvDK164HuqurS79VrlM3SVVDXw3OpCnl2Zz6pdlYSHCSdNyeCiuWM4eWrmoI8JMb2zoaiKe5bu4KmPdtHQ3MbUkYlcfOQYzp2VTVo/XqTREp2hTVVZvmMPdyzexktri4iPCufy+bl8+fjxdvDSB7v21PHHlzfy9MoC4qPCueKYXK5ecEi//vaGkwEZo9PfrPIZWnaW1fHKuiJeWlPEip17UIXp2UmcOyub8+bkkGUDjIeMyvpmnltVwKPL81jtEtUFE9NZODubU6dlkRTTt9P9LdEZmuqaWnhhdSH3vLudNflVJMdGcsX8cVx17CED3t05nGwoquLWRZt54eNC18I6mi8em8vkrMRAhzakWKJj+qyxpZUV2/fwxsYSFm0oYUtpLQDTRiVxxvSRfGrmKCZmJgQ4StNXG4qqeGZlAc+uLCC/op7IcOGYCemcOWMkp0zNPKgz5CzRGTpUlQ93VvD4ijyeW1VITWMLEzMT+OKxuVwwZzSxUdZFNVA2l1Tzn8XbeOqjfBpb2jhmQhoXHzmGM6aPHLan6R8IS3TMAWtpbWNNQRXLtpbxzpYy3t9WRkNzG1HhYcwbP4ITp2Ry+rQsG1gcotr/4b281mu121leB3itdidPzeTCI8YwNq13n70lOsFNVVlbUMXzqwt5bpWX4MZGhnP2YaO4+MgxHJmbOiBjt0znymubeOj9nTy4bCf5FfUkxUSwcHYOC2dnc/jYVMLstjidskTH9Ki6oZlVeZWs2LGH5TvK+XDHHmrdPZMmZiawYGI6CyamM39CGvHRPV5X0oQQVWVjcTWLNpTw5oZSVuzcw71XHcWxE9N7tbwlOsGnobmVD7aX8/r6El5dV0x+Rf3eLstzZ2Vz+vQsEvvYZWn6pq1NWbqljEeW5/HK2iIaW9rISYnl7MNGcvr0kRw+NtXuBehjiY7ZR31TK+uLqlibX8mqXZWsyqtgc2kNqiACU7ISmZubyrxD0pg3fgSZiTbexvxPZV0zcdHhRPZykLklOoHX1uYlq0u3lLFkUynvbvVaaKMjwjhuUganT8/i1EOzbHBxkKppbOHVdUU8u7KAJZt309yqpMVHcdLUTE6YnMGCienDftzUgdQzdqgeQtralPyKejaVVLOhqJr1hdVsKKxiS2kNbS6fTYuPYtaYFM6Zmc3ssSnMGZvS58GnJrQlx9n3I9g1tbSxtsBrof1geznvbytnT513v6VD0uO55MixnDA5g6PHp9m4myEgITqC8+eM5vw5o6luaOatT0p5ZW0xr64r5vEVuxCBmTnJzJ/gtbrPHZdqLe/dsD0zBDW2tLKzrI4tpbVs3V3D5pIatpR4f9u7nwByUmI5dFQiZ80YyYycZGbkJDMqOcb6340ZwlrblK2lNawpqGT1rkpW5lWwtqCKphbv6h9jR8Rx8tQsjpmQxvwJaWTbBeqGtMSYSM6Zmc05M7NpbVNW7argrY2lLN2ym/8s3srtb20hPEyYnp3EEeNSOWJcKrNGpzA6Ndbqese6roKQqlJV30LenjryyuvYWV7HjvI6dpTVsqOsjoKK+r0tNABZSdFMzExgYkYCk0cmMjkrkcmZiXYkbgLCuq76T1lNI58U1/BJcTUbiqpYX1jNxqJq6pu9A5qYyDBm5qQwa0wyc8amMndcqt1Lbhipa2rhg+17+GBbOct3lLMyr4KGZi/hTU+IYuboFGZkJzE9J5lpo5JCKvmxrqsg19DcSklVI4WV9RRVNVBQ0UBBRT0FFfXkV9Sza089NY0t+yyTEhfJuLR4jhiXygWHj2ZCRjyHpMeTmx5vXU/GDGFNLW3sLK9j++5atpfVsqW0hi0l3t+y2qa95ZJjIzl0lHeRx8NcC+2EjHi7QOcwFhcVwQmTMzhhcgYAza1tbCisZuWuClburGBNfiVvbizZe2CcGB3BlJGJ3gFxZgKTsxKZmJlARmJ0yCRAnbFEp5+oKjWNLeyuaWJ3TSOl1d6jpLqBkqpGSqobKa5qoLiqYW/fuV9ybCTZKbGMTo3l6PFpjE6NJScllrFpcYwZEWfJjDFDVGubUlLdQP4e7yBm15468srr2elaawsr922hHREfxYSMeE49NItJWd4/o0lZCYxMsm5n073I8DAOG53MYaOTufzocYB3Mkp7a6D3t4oXVhfyYP3//g8lRkcw3nfwfEh6PGNHxDF2RBwj4qOG/PfOEp0utLS2UVnfzJ66ZirqmiivbWJPXRPltc2U1zbu/VtW20SZS24aW9r2W094mJCeEEVWUgyjU2M5YlwqI5NiyEqOITs5lpHJMYxKjrGBZMYMQe2ts8XV3kFMUaX7W9VIYUU9he51S9u+QwTSE6IYOyKOI3NTGTsih9z2fzBp8cP+bBrTv2KjwpkzNpU5Y1P3TlNVSqu9btEtpd5ja2ktH2zfwzOrCvCPaEmIjmB0aiyjU+P2HoBnp8SSnRLDqORYMhKjg/6095D976qqNLa0UdXQTHVDC1X1zVTt/dtMVX0Lle55ZX0zlXXe34r6JirqvGW6EhMZRlp8NCPioxgRH8XEzATS4qNIT4j2HonRZCREk5kUTWpcVNB/CYwxntY2pbK+mfLaJvdoZHeN93x3TSNlNU2U1jSyu7qR0prGTuuJ6IgwRiXHMDI5hiNzU8lJbf/HEMuY1FhyUuLszCcTUCJCZlIMmUkxLJi07/WxGppbySuvY0dZ3d5Wx117vMd7W8v2G1YRHiZkJUaTlRzjHcQnxZCRGE1mYjSZSTFkJESTnhhFWnzgEqKgT3RKqhpYW1BFTWMLdU0t1DS2UtPQQm1TCzWNLdQ2tlDT0EK1+1vT2EJ1QzM1jS00t3Y/0DoyXEiOjSQpNpLk2EjSErwm45S4KJJjI0mNiyQ1PoqUuChGxEWRGh/JiPgo4qKCfrcZYw7QlXe+z9ubSunq/Izk2EjvgCYxmkOzkzg+IXqfCj0rKZqRSTEkx0YO+aZ+M3zFRIYzKSuRSZ3ce0tVqWpo2TumtLDSa8UsqKynpKqRTSU1LNm0m+rG/Q8ARGBEXBRpCV7SMyIhijTXWDAiPorUOK+xYP6EtH5/T0H/H/u9beV866GP9pseHRFGQnQECTERJERHEB8dQXZKzN5piTGRJLq/STERe58nu6QmMSaC2Mhwq5CMMQCcOi2LWaOTvUrXVwG3t95GRdigXzO8icje/6GHjkrqslx9U6s3PrXaa/1sH7e6u7aJshqvlXRdQRVlNY1U+VpFRybF8N71p/R73EGf6CyYmM5TXztmbzITHxVBfHS4nWlgjOlX7YM3jTF9ExsVzri0eMalxfdYtrm1jYq6ZvbUNdHQ3Npj+YMR9IlO+1GVMcYYY0JLZHgYGYleN/BAsWYRY4wxxoQsS3SMMcYYE7ICdgsIESkFdvSyeDqwewDDGQgW8+CwmAfHgcQ8TlUzBjKYA2F1TVAaajEPtXgh9GPudT0TsETnQIjI8mC6d05vWMyDw2IeHEMx5oMxFN+nxTzwhlq8YDH7WdeVMcYYY0KWJTrGGGOMCVlDJdH5V6ADOAgW8+CwmAfHUIz5YAzF92kxD7yhFi9YzHsNiTE6xhhjjDEHY6i06BhjjDHGHDBLdIwxxhgTsoIi0RGRGBF5X0RWichaEfmlm36IiCwTkc0i8oiIRLnp0e71Zjc/N4hi/oaLS0Uk3VdeROQWN2+1iBweJPE+ICIbRWSNiNwpIpHBEG8PMd/hpq0WkcdFJMFND9rvhW/+LSJS43sdtDGLyN0isk1EVrrHbDc94N+Ng2H1TMBjtrpmEGL2zQ+quiag9YyqBvwBCJDgnkcCy4CjgUeBS9z024GvuudfA253zy8BHgmimOcAucB2IN1X/mzgv265o4FlQRLv2W6eAA/59nFA4+0h5iRfmT8DPw7274V7PRe4D6jxlQ/amIG7gc92Uj7g341+fp9WzwxOzFbXDELM7nXQ1TWBrGeCokVHPe2ZZ6R7KHAy8Libfg9wnnu+0L3GzT9FRGSQwgW6jllVP1LV7Z0sshC41y33HpAiIqMGKdzu4n3RzVPgfWB0MMTbQ8xV4GX8QCzed6U95qD8XohIOPB/wI86LBK0MXezSMC/GwfD6pnBYXXN4BhqdU0g65mgSHQARCRcRFYCJcCrwBagQlVbXJFdQI57ngPkAbj5lUDa4Ea8f8yquqyb4ntjdvzvZ1B0F69rRr4ceMlNCni8Lq5OYxaRu4AiYCrwN1c8mL8X3wCeVdXCDsWDOWaA37pm47+ISPvthYPiu3EwrJ4ZHFbXBDTmoK1rAlXPBE2io6qtqjobL8s/Cu9LFdQ6xiwiMwIdU3d6iPc24G1VXRyY6DrXVcyq+kUgG1gPXBzAEPfTSczHAxfyv0oy6HSxn3+C9zs8EhgBXBfAEPuF1TODw+qawTHU6ppA1TNBk+i0U9UK4A1gPl5TVYSbNRrId8/zgTEAbn4yUDbIoe7li/nMbortjdnxv59B1TFeEfkFkAF8z1csaOKFzvexqrYCDwOfcZOC9XtxEjAR2Cwi24E4EdnsigVrzGeqaqFrNm4E7sJLDCDIvhsHw+qZwWF1zeAYanXNYNczQZHoiEiGiKS457HAaXjZ8xvAZ12xK4Fn3PNn3Wvc/EWu33fQdBHzhm4WeRa4wo0kPxqo7KRpccB0Fa+IXA2cAVyqqm3BEm83MW8UkYlumgDn8r/9HqzfixWqOlJVc1U1F6hT1YlBHvOG9v5wt5/PA9b4Yg7od+NgWD0zOKyuCWjMQVvXBLSe0UEeKd7ZA5gJfASsdm/y5276eLxBa5uBx4BoNz3Gvd7s5o8Popi/hdeX2AIUAP/R/404/zvemICPgblBEm+Li2mle/w8GOLtKma85PwdF9Ma4AHcmRHB/L3oUMZ/JkTQxgws8u3n+/nfGRMB/2708/u0emZwYra6ZhD2c4cyQVPXBLKesVtAGGOMMSZkBUXXlTHGGGPMQLBExxhjjDEhyxIdY4wxxoQsS3SMMcYYE7Is0THGGGNMyLJExxhjjDEhyxIdY4wxxoQsS3SMMcYYE7Is0THGGGNMyLJExxhjjDEhyxIdY4wxxoQsS3SMMcYYE7Is0TFDjojcLSK/CYI4fici3+nH9d0gIve751kisl5Eovtr/caYA+P/TQY4jq+IyM39uL4viMgS9zxaRDaISEZ/rT/YWKLTSyLyORFZLiI1IlIoIv8VkQWBjmuwiIiKyMQeynxORHaISK2IPC0iI/qwvTdFpMHt790i8qSIjDrY9fU3VylcAfxzINavqsXAG8CXB2L9JnhZXdN9XSMio0TkWREpcGVz+7i9u0Wkye3vchF5VUSm9mWd/UlEooCfAv83EOtX1UbgTuDHA7H+YGCJTi+IyPeAm4EbgSxgLHAbsDCQcQUTEZmO90//crx9VIe3j/riG6qaAEwGUoC/9HF9/ekLwIuqWt/ZTBGJ6IdtPAB8pR/WY4YIq2t6pQ14CfhMP67zD66uGQ2UAHf347r7aiGwQVXzO5vZT3XNg8CVodqCbIlOD0QkGfgV8HVVfVJVa1W1WVWfU9UfujLRInKzO8IocM+j3bwTRWSXiPxIRErcEdp5InK2iHzijiCu923vBhF5XEQeEZFqEflQRGb55h/qWjsqRGStiJzrm3e3iPxdRF5wyy4TkQm++VPd0Uq5iGwUkYt6s6yIvO2KrXJHPRd3sqsuA55T1bdVtQb4GXCBiCT29TNQ1XLgCWCGb3JqN+/zryKSJyJVIrJCRI7zzTvKHS1XiUixiPzZN+9oEVnq9u0qETmxm7DOAt7yLdv+OV8nIkXAXSKSKiLPi0ipiOxxz0f7ljlERN5y7+FVIL3DNpYB40Vk3IHtMTMUWV3Tu7pGVYtV9Tbgg/7a97511+H90/fXNVEicq+Lda2IzPW9lx+LyBY3b52InO+bN9H9vivFa5V+xDevy/3TiY51Ta54LVlfEpGdwCI3/TERKXLbe1u8g8/2ZdLEawWrEpH3gQn+DajqLmAPcPQB7rKhQVXt0c0DOBNoASK6KfMr4D0gE8gAlgK/dvNOdMv/HIgErgFK8X5MicB0oB44xJW/AWgGPuvK/wDY5p5HApuB64Eo4GSgGpjilr0bKAOOAiLwWgQedvPigTzgi27eHGA3MK2nZd18BSZ2sw+eAa7rMK0GOOIg9/ubwNXueTrej/m+Xsb6eSDNzfs+UATEuHnvApe75wnA0e55jlvn2XgHAKe51xldxFcKHOl73f45/x6IBmJdDJ8B4txn/RjwtG+Zd4E/u/LHu8/y/g7bWQ2cG+jfgT0G/oHVNe3vsdu6xlcuwpXN7eN+vxv4jXue4PbXYt8+anD1QjjwO+A937IXAtmuzrgYqAVGuXkPAf/PzYsBFvRm/3QS3wfAhb7Xue593+vWFeumX+U+52i8VsGVvmUeBh515WcA+cCSDtt5FvhWoH8HA/LbCnQAwf7Aa6ko6qHMFuBs3+szgO3u+Ymucgl3rxPdl3Ser/wK4Dz3/IYOP6QwoBA4zj2KgDDf/IeAG9zzu4H/+OadjdfkifsRLu4Q9z+BX/S0rHvdU6LzOnBth2n5wIkHud/fxOv+qnDreQCXdPQUayfr2gPMcs/fBn4JpHcocx0ukfJNexm4sot1NgNTfa9PBJpwCVUXy8wG9rjnY/H+KcX75j/I/onOO8AVgf4d2GPgH1bX7H0diESnwdU1RXj/8Cf49tFrvrLTgPpu1rUSWOie3wv8CxjdoUy3+6eTdW4CzvS9znXve3w3caS4Msl4CVrH+upG9k90HgB+HujfwUA8rOuqZ2VAunTfD5oN7PC93uGm7V2Hqra65+1jOop98+vxjiTa5bU/UdU2YJdbXzaQ56b5t5Xje13ke17nW+84YJ5rhq4QkQq8inVkL5btjRogqcO0JLyjwH2IyPWuWbpGRG7vZp3fUtUUVc1R1ctUtbQ3sYrID8Q7Y6nSvc9k/tct9CW8MT8bROQDETnHTR8HXNhh/ywAuhoAvQfvH4lfqao2+OKIE5F/ijdAuwovyUoRkXC8z3KPqtb6lt/B/uxzHM0AACAASURBVBLxKmAT+qyu6WcicpmvrvlvN0X/6Oqakap6rqpu6SbWmPbPSESuEJGVvvc5g//VNT8CBHjfdXld5ab3Zv/4dVbXgO+zE5FwEbnJdaNVAdvdrHS8lr8If3mGWV3TH4OYQt27QCNwHvB4F2UK8L68a93rsW7awRrT/kREwvAGyLWvb4yIhPkqoLHAJ71YZx7wlqqe1oe4urMW8Pfvj8drQt0vNlW9Ee+Iot+JNx7nR8ApwFpVbRORPXgVDqq6CbjU7dcLgMdFJA1v/9ynqtf0clOr8RIm/zgB7VDm+8AUvCPqIhGZDXzkYinEG2cU70t2xvrX4SrTicCqXsZkhjara/qZqj6A11LR78QbO/dvvLrmXVVtFZGV/K+uKcLrPkS8s+Zec2OQDnT/tNc1Hfnrm8/hDVo+lf/P3n2Hx1UYCx/+zRatumRbcpHcu40rtsGA6SXU0FsIkEpIQgI3+QJpN5UkNyGdBAiElsSB0HsNvRps3HsvcpOLetsy3x/nyF7L6tomad7n2Wd3Tx2tVqM5c5pT5OThFEiCs/syhPO7XuVOP7SZ5U0AftfOmLoV6+i0QVXLcfZ5/1WcA/syRcQvImeJyG/cyR4CfigihSJS4E7flWsvzBCRi9x/dDfhJL8PcQ5OrQFudmM4CTgPZ/9rW54DxorI1e68fhGZJSIT2hnTLmBkK+PnAueJyPEikoVzLMETqnpYRyfOcnD+qEsBn4j8iKhOk4h8VkQK3eTduPUSwfl9nScin3K3jtLFObhzcNMVuF4ATmxHLLVAmTin2v+4cYSqbgbmAz8VkTQ3EZ7XZP6jcHZLNLf1ZXoYyzUHtJVrEJF0nA0pgID7PtGycIqNUjemzxN1ELOIXBqVP/a700bo+OfT3lxTj9MVzCRqQ9Lt8D0B/MT9Tk0Ero2eWUSKgb44v/sexwqddlDV3wHfwrmWQSlORX4D8JQ7ya04/7SWAEuBT9xhnfU0zn7c/Tina1+kztkXDTjJ5iycg9fuwDl+Y1WLSzr4M1QCZwBX4Gyx7eTggbPt8RPgQbfVetgZAqq6HLgep+DZjfOH97V2LjuWXsY59XQNTnu2jkNbtmcCy0WkCvgTcIWq1qrqVpwtou9z8Hf8HVr+G/kHcLaIZLQSyx9xDkreg5NAXmoy/jPA0cA+nCLoH03GXwW0tmvP9DCWa4A2co2rFmd3OThdimYv8xBPqroCpwPyAU5xNhnnmLpGs4B5bq55BrhRVTd04vN5FhgvIkUtjAcnd2zGOZ5xBYcXLDfg7B7ciXNM0v1Nxn8GeFCda+r0OOIehGRShIj8BOdAvM8mOxbTOhH5JbBbVWN2xdKoZffHOaV0evRxP8bEiuWa7kNErsM5KytmV2KPWnYAZ/f4Caq6O9bLTwV2jI4xnaSq3297qk4vezfOPnNjTC+nqnfHcdn1QMpcCToebNeVMcYYY3os23VljDHGmB7LOjrGGGOM6bGSdoxOQUGBDh8+PFmrN8bEyYIFC/aoamGy42hkucaYnqcjeSZphc7w4cOZP39+slZvjIkTEUmp6/5YrjGm5+lInrFdV8YYY4zpsazQMSbOdlXU8euXVvHO2lJC4UjbMxhjWrRkWxn3vrsRO5HGtJddR8eYOHt1xS7ufHM9d765noLsNM6cNJCTx/XnmFH9yEyzP0FjOuKR+Vv514dbiESUL5/Q6p0ijAGs0DEm7uqCzs2kf3vpVN5YtZvHF5Twrw+3kOb1MGNYH2YN78OM4X2ZPjSf3HR/kqM1JrXVNjhd0V+9uJLRA7I5eVz/JEdkUp0VOsbEWX3IScznTR3EJTMGUx8KM3/Tft5aU8p76/bwlzfWEXG78MP7ZXJEUR4Ti3IZ3T+bMf2zGdo3E5/X9jIbA1AfClOcn0Fuhp9v/nshT379OEb3z052WCaFWaFjTJzVBcOIQJpbrAR8Xo4bXcBxowsAqKoPsWhLGQu37Gf59gqWlJTx/NIdB+b3e4XBfTIZ1i+ToX0zKc7PoLhPBoPyMhiYl07/nAB+K4RML1EXjJCb4eeea2Zw/l/e47p/zue5b8yx3cCmRfbNMCbO6kMRAj4PItLs+OyAjzljCpgzpuDAsMq6IOtLq1mzq5KNe6rZvLeaTXtqWLB5P5V1oUPmF4G+mWkU5gQoyA7QLzuNvllp9MtKIz8zjT6ZafTJ9JOb4Scvw3nOCfjweJqPx5hUVh8KE/B5GNwnk9uvnM5V987j1udX8ssLJyc7NJOirNAxJs7qgmECPm+H5slJ9zNtSD7ThuQfNq6iLsj2slp2lNWxs6KOneV1lFbVU1rpPDbvq2Z/dZCq+lAzS3aIQHaaj+x0HznpPrICPrIDPrLSnNdZAS8ZaV4y/c7rMyYOZGi/zA7/7MbEWn0wQrrf6WAeO7qALx8/krvf3sAp4/pz2sQBSY7OpCIrdIyJs+jEHAu56X5yB/oZPzC31enqgmHKa4Psr2lgf3WQirog5bVBKmqDVNSFqKwLUlkXoro+RFV9iIq6EDvL66hpCFNVH6K2IUyDezr8qP7ZVuiYlFAfCpOfmXbg/bfPGMu7a/dwy+NLeGnICRTmBJIYnUlFVugYE2d1oY53dGIh3e8l3e9lQG56p5cRCkeoCYZJT0L8xjSnrsmGQ8Dn5U9XTOPc29/lO48t5v7PzWpxN7HpnewIRmPiLNYdnUTyeT3kpvtJ83XP+E3PU9/MhsOYATn84JwJvLm6lH98kFJ3IDEpwLKXMXGWrI6OMT1R045Oo6tnD+PkcYX88oWVrNlVmYTITKqyQseYOOvOHR1jUk1zHR0AEeE3l0wlO+Djmw8tpD4UTkJ0JhVZ9jUmzqyjY0zstNTRASjMCXDbpVNYtbOS/3txVYIjM6nKCh1j4sw6OrEjIkNE5A0RWSEiy0XkxmTHZBJHVVvs6DQ6ZfwAPnfscO5/bxOPLdiWwOhMqopZ9rUEZEzzrKMTUyHg26o6EZgNfF1EJiY5JpMgwbASUdrccPjBORM4dlQ/vv/EUhZs3p+g6EyqiuVmpiUgY5pRH4wQsI5OTKjqDlX9xH1dCawEipMblUmUxuNu2tpw8Hs93HHVkQzKT+cr/5xPSVltIsIzKSpm2dcSkDHNa6vVbjpHRIYD04F5zYy7TkTmi8j80tLSRIdm4qQu6FzAsj27gvMz07j32pnUByNcc+88dpRbsdNbxWUzs6UEZMnH9EZ2jE7siUg28Dhwk6pWNB2vqner6kxVnVlYWJj4AE1cHOjo+Nu34TC6fw73fm4WuyrqueTOD9i0pzqe4ZkUFfPs21oCsuRjeiM7Rie2RMSPk2PmquoTyY7HJE5jRyfQgQtYHjWiLw99eTY1DSEuuesDVmw/rC42PVxMCx1LQMYcKhxRgmG1jk6MiHNt/3uBlar6+2THYxKrsaOT3s6OTqPJg/N45CvH4PXAhXe8xwPvbURV4xGiSUGxPOvKEpAxTbT34EnTbscBVwOniMgi93F2soMyidGZjk6jMQNyePYbczh2VD9+8uwKrr3/Y3aW18U6RJOCYrmZaQnImCbqO3DwpGmbqr6rqqKqU1R1mvt4IdlxmcTobEenUf+cdO773Cx+fv4RzNuwl5N++wa/enElZTUNsQzTpJiY3b1cVd8F7JaxxkSp62JiNsYcVN+Fjk4jEeHqY4Zz4tj+/OG/a7j77Q38e94WPjt7GFfOGsrQfpmxCtekCNvMNCaOYpGYjTGOrnZ0og3tl8kfLp/Gizcez3GjCvjbW+s54bY3uPreeTy+YBv7q63L01PErKNjjDmcdXSMiZ2uHKPTkvEDc7nr6hnsKK/lkY+38Z+Pt/DtRxfj9Qizhvfh+DGFzB7Zl8nF+aTZBku3ZIWOMXFkHR1jYqcuGL8Nh0F5Gdx42hi+ccpolpaU88qKnfx3xW5ue3k1ABl+L5OKc5lUnMfk4jzGDcxhVGG2bcR0A1boGBNH8UzMxvQ29aH4bzh4PMLUIflMHZLPdz41nr1V9Xy0cR/zNu5jaUk5D320hfvdDRgRGNInk+EFWQzrm8mwfpkU52dQlJ/BoPx0CrICeDx26GqyWaFjTBwlIjEb01skY8OhX3aAsyYP4qzJgwAIhSNs2FPN2l1VrN1dydrdVWzeW83CLfuprAsdMq/PIxRkB+ifG6AgO0C/rDT6ZQfok+mnT2Ya+Zl+8jL85LnPOel+stK8OFdrMbFihY4xcWQdHWNiJxU2HHxeD2MH5DB2QA4w6MBwVaW8NkhJWS07yurYXl7L7op6dlXUsauynt2VdazcUcHeqgYawpEWl+8RyA74nEe6j6yAj6w0H1kBL5lpPjLSvGT6vWSkeUn3e8nwu89pHtJ9zuuAz0PA7yHgc16nNT68B1/7PZ5e022yQseYOEqFxGxMT1EXDOPzCD5v6v09iQj5mWnkZ6ZxRFFei9OpKjUNYfZVN1BWE6S81nlU1AWprAtSURuiqt591IWobghR0xBmT1U91Q0hahsi1DaEqAmG6erFnf1ewe/1HHikeQW/z4PP4wz3eQWfx4Pfffa503s9gt8reD0e/B7B6xF8XvfZ48Ej0e/Fee8RPO57rzvM6w7ziuD1QFbAx7lTirr2QzXDCh1j4sg6OsbETn0o0u03GkTE6dIEfAzp2/nlqCr1oQi1DWHqQmHqghHqgmHqQxHqg2HqQhEaQhHqQ2HqgxEaws77hlDU63CEUDhCMOwsy3kdIRjRA8OD4QihsBKKRKgNqntbmwihiPM6FHHGhyMHx0UUQpHIgWGRdhZkA3PTrdAxpruxjo4xsVMXDNtGg0tESHd3W6U6VT1QGEXc1xH3fViVSATCqnG74rAVOsbEUWNHJ9ANkpExqa4ndHR6IxFxd5MlZ/32jTEmjqyjY0zsWEfHdIZlX2PiqL6xo2OFjjFdVh+K2NWJTYfZN8aYOGpstdt1MYzpOuvomM6wQseYOLLEbEzs2DE6pjPsG2NMHFliNiZ26m3DwXSCZWBj4sg6OsbEjm04mM6wb4wxcWSJ2ZjYsQ0H0xmWgY2JI0vMxsSObTiYzrBvjDFxVB+KkO63PzNjYsE2HExnWAY2Jo7qgmECPkvMsSQiZ4rIahFZJyLfTXY8JnGso2M6I6bfGEtAxhyqLmgdnVgSES/wV+AsYCJwpYhMTG5UJhFU1To6plNiloEtARlzuPqQdXRi7ChgnapuUNUG4GHg/CTHZBIg5N4F2zo6pqNi+Y2xBGRME3XBCAHr6MRSMbA16v02d9ghROQ6EZkvIvNLS0sTFpyJn8Yb5FpHx3RULDNwmwnIko/pbZxjCiwxJ5qq3q2qM1V1ZmFhYbLDMTHQeINc2xVsOiqh3xhLPqa3ca7kaok5hkqAIVHvB7vDTA9Xd+AGubbhYDomlhnYEpAxTVhHJ+Y+BsaIyAgRSQOuAJ5JckwmARo7OrYr2HRULL8xloCMiRKOKA1hO+sqllQ1BNwAvAysBB5R1eXJjcokgnV0TGf5YrUgVQ2JSGMC8gL3WQIyvVlD4xaoJeaYUtUXgBeSHYdJLDtGx3RWzAodsARkTLSDZ4lYYjamq6yjYzrLMrAxcVJvHR1jYsY6Oqaz7BtjTJxYR8eY2Km3jo7pJMvAxsSJdXSMiR3r6JjOiukxOvGwfHs5Ty0swSOCiOAR8LjPznt3mEeQqHGew8Y5r73ucBHwegSvO84bNa1HBK8H99kd50576DAOvG5cltcj+DweZ5w4r73eg9P4PM6yTM9nHR1jYufAMTp2ZWTTQSlf6GzaU8PceVuIqHOfk0hEUSCiimqyo+scEfC5BZHPI/i8gjfqtfPsvPd7Pfi8gt/jwe9z5vF7PaQ1ee33ekjzevD7nGEBn/veKwT8Xue9z0PA5yXd7zwHfB4Cfg/pPi/pfmd4ujutiBVjXWUdHWNipy7odnTsXlemg1K+0DlnyiDOmTKo2XHqFjsRVcLua1UIqzqFUAR3uFskucMbC6ZwRA8ZH4644935Gt+HI0rEvaFcWJ3Xocih48NRy4t+H4pETx8hHIFQJEIw7MwbDEcIhZ35Qu7rUEQPTBMKRwhFnOnqgxGqwiEaooY3hCIEw87Dee1cu6UrRCDD7yUzzUtGmpdMv4+MNC9ZAS9ZaT6yAz6y3EdOuvM+J91Hbrqf3Aw/uRk+8jL89MlM69X3pbGOjjGxUx+yjo7pnJQvdFoj7i4oD9K9f5AYU3WKncbCpz4UpiEUoT4UcZ/D1AUPPtcFDz7XBsPUBcPUNDiPumCY6voQte6wvVU1VNWHqGkIU1kXJBhuva0W8Hnom5VGn8w0+mWn0TcrjYLsAIU5AQqzAwzMS2dAbjqD8tLJCvSs36J1dIyJHevomM7qWf9ZDOAUgM6uqfj/g60PhamsC7mPIBW1Icprg5TVNlBWE6S8Nsj+6gb2VTewt7qBTXurKa2sP5C0ouVl+CnOz2BwnwyGF2QxrF8mIwqyGN0/m8LsQLfbnWYdHWNipz4Udo5z9Nrfk+kYK3RMlwR8XgLZXgqyA+2eR1Wpbgizu6KOXRX17KqoY0d5HSVlNZTsr2XDnmreXFN64MrC4BRBYwdkc0RRHpOK85gyOI/RhdkpfWD3wbNErKNjTFfVBSPWzTGdYoWOSTgRITvgI7swm5GF2c1OE4koOyvq2FBazbrdlazdXcXKHRX85+OtPPD+JsApfmYM68PRI/py4rhCxg3ISamuz8EruVpyNqar6kNhOz7HdIoVOiYleTxCUX4GRfkZzBlTcGB4OKJs3FPFwi1lLNi8n4827eP1Vbv51YurGJibzqkT+nPe1CKOGt436d2eg3dbtuRsTFdZR8d0lhU6plvxeoTR/XMY3T+HS2cOAWBHeS3vrNnDm2t288QnJcydt4WBuelceGQxV88eRlF+RlJitY6OMbFTH4rYRoPpFCt0TLc3KC+Dy2YN4bJZQ6hpCPHflbt5ZlEJf3trPXe/vYEzjxjIdSeMZOqQ/ITGdfCsKyt0jOmqumDY/pZMp1ihY3qUzDQfn55axKenFrFtfw3//GAzD320heeX7uDsyQP5zqfGM6IgKyGx1LuJOZWOGzKmu7KOjuksK49NjzW4TybfO3sC73/vVL556hjeXF3K6b9/i1++sPLAbqV4qg9F7IwrY2KkLhi2Y3RMp9i3xvR42QEf3zp9LG9+5yQumTGYu9/ewLm3v8uSbWVxXa+12o2JHevomM6yLGx6jf456fzfxVN48AtHUVUX4sI73ufON9ejcbppmnV0jImdeuvomE6yb43pdU4cW8jL/3MCZx4xkF+/tIpvP7r4wH10Ysk6OsbEjnV0TGdZFja9Ul6Gn798Zjr/c9pYnvikhM/+fR57q+pjug7r6BgTO3aMjuks+9aYXktEuPG0MfzlM9NZsq2cK+/5kD0xLHasoxNbInKbiKwSkSUi8qSIJPZ6ASapnI6O/T2ZjovJt8YSkOnOzp1SxAOfP4qt+2q58u4PKa2MTbFjHZ2YexWYpKpTgDXA95Icj0kgp6Njf0+m42JVHlsCMt3aMaP6cf/nZ7Ftfy1X3hObYsc6OrGlqq+oash9+yEwOJnxmMSyjo7prJh8aywBmZ5g9sh+PPD5WZTsr+Wa+z6ioi7YpeVZRyeuvgC82NJIEblOROaLyPzS0tIEhmXiIRiOEI6odXRMp8SjPG4xAVnyManu6JH9+NvVM1i3u5IvPzi/SxcWtI5Ox4nIf0VkWTOP86Om+QEQAua2tBxVvVtVZ6rqzMLCwkSEbuKo8XYqtuFgOqPdWTgWCciSj+kOThhbyG8vncpHm/bxzYcWEgpHOrUcOx2241T1NFWd1MzjaQAR+RxwLnCVxusCSCblHLhBru26Mp3Q7ntdqepprY2PSkCnWgIy3d3504rZX93AT55dwQ+fWsavLprc4XtWWUcntkTkTOBm4ERVrYn18ivrgkQUvB7BK4LHA14RvB6x+5Ul2YGOju26Mp0Qk5t6xjsBGZMMnztuBHurG7j99XX0y07jO58a36H57RidmPsLEABedQuPD1X1+lgt/Mv/mM+HG/Y1O84j4PN4Dil+nIcHn+fge59X3PfO8IPvBb+3cZgHv1fweTz4vILf48Hvc8aneT34Gx8+Ic3rIc3nOTAuzec8AgeevaT7D3/O8HvxeXtOkW0dHdMVsbp7eVwTkDHJ8q3Tx7KnqoG/vrGevlkBvjhnRLvmi0SUhlDEOjoxpKqj47n8a48ZzmkTBhBRJRzBfVZCESUSUcLu+0MeqoTDSjASIeJOGwo7w0PhyMH3EaUqFCIUVoIHhkcIhpVQJEIorDSEIzSEnHHhSNeb4n6vkO73kuH3kpnmJSPNR1aal8yA85wV8JHd+Ej3kZPuIzfdT26Gnzz30SfTT266H48nuR2t+qDT0QlYR8d0QkwKnXgnIGOSRUS49YJJlNU08PPnVpAT8HHZrCFtztcQtoMnu5uzJg9KdggHRCJu4ROOEAxFDhRBDaEI9e77+mCEulD4wLC6YJj6YJi6YITaYJi6YJjaYJjahjA1Bx4hymuDbC+rpaY+RGV9iOr6EK3VVR6B/Mw0+mal0S8rjYKcAIXZAQbkpjMgN8CgvAyK8zMYmJdOWpwK+7qQdXRM58Wqo2NMj+X1CH+8YhrV/1jAzY8vIaLKFUcNbXWexlZ7uiVm0wkej5Du8SakUFZVahrCVNaFqKwLUlEXpKwmSHltkP01QcpqGthX7Tz2VjWwcnsFb1fWU1kfOmQ5IjAwN51h/TIZ3i+LUYXZjBmQzdgBOQzKS+/ScU6NHR07Rsd0hhU6xrRDwOfl7qtn8JV/LuC7TywlovCZo1sudhoPnrRWu0l1IkJWwEdWwMfAvPR2z1ddH2JXRR07y+soKatl2/5atu6rYfO+Gv67chcPf7z1wLR9Mv1MKs5jyuA8jhrRj5nD+pAVaP+/H+vomK6wQseYdkr3e/nb1TP46r8W8P0nl7K/poGvnTSq2S1V6+iYni4r4GNkYTYjC7ObHb+/uoE1uypZs6uSZSUVLCkp5663NvDXN9bj8whTBudx6oQBfOqIAYzun9PquqyjY7rCCh1jOiDd7+Wuq2fwnUeXcNvLq1m/u4pfXjT5sF0M1tExvV2frDSOHtmPo0f2OzCspiHEgs37+XDDXt5Zu4fbXl7NbS+vZlRhFlfMGsrFMwbTNyvtsGXVW0fHdIEVOsZ0UMDn5U9XTGNM/2x+9+oaNu2t5i+fOZKi/IwD01hHx5jDZab5OH5MIcePKeQ7n4Id5bX8d8Uunl60nV+8sJLbXl7NuVMGccMpow/pFB38e7INB9NxloWN6QQR4RunjuGOq45k1c5KPvWHt3l0/lYar5VpHR1j2jYoL4OrjxnOY189lpdvOoErjxrCS8t3cvof3uZ7TyxlV0UdEP33ZP+yTMfZt8aYLjh78iBeuvEEJhTl8p3HlvClB+ezeW+1dXSM6aBxA3P46fmTeOs7J/PZo4fy2IKtnPzbN3nk463W0TFdYruujOmiof0yefjLs7n//U389uXVnPq7tzhyaB/AOjrGdFRhToCfnj+JL84ZyS2PL+Hmx5fQzz1uxzo6pjPsW2NMDHg8whfnjOCt75zEZbOGsGDLfgAy0qzQMaYzhvbL5F9fOprvnjWeirrggdtjGNNR1tExJob656bzywsn88U5I1iwaT+jCrOSHZIx3ZbXI1x/4ihOGFPIjvLaZIdjuikrdIyJg1GF2Yxq4foixpiOmViUy8Si3GSHYbop6wMaY4wxpseyQscYY4wxPZY0Xvcj4SsWKQU2t3PyAmBPHMOJB4s5MSzmxOhIzMNUtTCewXSE5ZqU1N1i7m7xQs+Pud15JmmFTkeIyHxVnZnsODrCYk4MizkxumPMndEdf06LOf66W7xgMUezXVfGGGOM6bGs0DHGGGNMj9VdCp27kx1AJ1jMiWExJ0Z3jLkzuuPPaTHHX3eLFyzmA7rFMTrGGGOMMZ3RXTo6xhhjjDEdZoWOMcYYY3qslCh0RCRdRD4SkcUislxEfuoOHyEi80RknYj8R0TS3OEB9/06d/zwFIr5BjcuFZGCqOlFRP7sjlsiIkemSLxzRWS1iCwTkftExJ8K8bYR873usCUi8piIZLvDU/Z7ETX+zyJSFfU+ZWMWkQdEZKOILHIf09zhSf9udIblmaTHbLkmATFHjU+pXJPUPKOqSX8AAmS7r/3APGA28AhwhTv8LuCr7uuvAXe5r68A/pNCMU8HhgObgIKo6c8GXnTnmw3MS5F4z3bHCfBQ1Gec1HjbiDk3aprfA99N9e+F+34m8E+gKmr6lI0ZeAC4pJnpk/7diPHPaXkmMTFbrklAzO77lMs1ycwzKdHRUUdj5el3HwqcAjzmDn8QuMB9fb77Hnf8qSIiCQoXaDlmVV2oqpuameV84B/ufB8C+SIyKEHhthbvC+44BT4CBqdCvG3EXAFOxQ9k4HxXGmNOye+FiHiB24Cbm8ySsjG3MkvSvxudYXkmMSzXJEZ3yzXJzDMpUegAiIhXRBYBu4FXgfVAmaqG3Em2AcXu62JgK4A7vhzol9iID49ZVee1MvmBmF3RP09CtBav20a+GnjJHZT0eN24mo1ZRO4HdgLjgdvdyVP5e3ED8Iyq7mgyeSrHDPALt238BxEJNI3ZlZTvRmdYnkkMyzVJjTllc02y8kzKFDqqGlbVaThV/lE4X6qU1jRmEZmU7Jha00a8dwBvq+o7yYmueS3FrKqfB4qAlcDlSQzxMM3EfAJwKQeTZMpp4XP+Hs7f4SygL3BLEkOMCcsziWG5JjG6W65JVp5JmUKnkaqWAW8Ax+C0qnzuqMFAifu6BBgC4I7PA/YmONQDomI+s5XJDsTsiv55EqppvCLyY6AQ+FbUZCkTLzT/GatqGHgYuNgdlKrfi5OB0cA6EdkEZIrIOneyVI35TFXd4baN64H7cQoDSLHvRmdYnkkMyzWJ0d1yTaLzTEoUOiJSKCL57usM4HSc6vkN4BJ3FI42JwAAIABJREFUsmuBp93Xz7jvcce/7u73TZgWYl7VyizPANe4R5LPBsqbaS3GTUvxisiXgE8BV6pqJFXibSXm1SIy2h0mwKc5+Lmn6vdigaoOVNXhqjocqFHV0Ske86rG/eHu53wBsCwq5qR+NzrD8kxiWK5Jaswpm2uSmmc0wUeKN/cApgALgSXuD/kjd/hInIPW1gGPAgF3eLr7fp07fmQKxfxNnH2JIWA78Hc9eMT5X3GOCVgKzEyReENuTIvcx49SId6WYsYpzt9zY1oGzMU9MyKVvxdNpok+EyJlYwZej/qc/8XBMyaS/t2I8c9peSYxMVuuScDn3GSalMk1ycwzdgsIY4wxxvRYKbHryhhjjDEmHqzQMcYYY0yPZYWOMcYYY3osK3SMMcYY02NZoWOMMcaYHssKHWOMMcb0WFboGGOMMabHskLHGGOMMT2WFTrGGGOM6bGs0DHGGGNMj2WFjjHGGGN6LCt0jDHGGNNjWaFjehQRUREZ7b6+S0T+N4bLfkBEbu3C/A+JyAWxiqeV9TwuImfFez3G9GaWa7pPrul1hY6IfEZE5otIlYjsEJEXRWROsuNKlOg/zhbGnyMi74pImYjsFJG/i0hODNb7E3fdR3d1We2lqter6s/d9Z8kItsSte6mRGQKMBV4OgGr+zXQ6SRpYsNyTZu55mQRWermmr0i8qSIFMdgvZZrLNccolcVOiLyLeCPwC+BAcBQ4A7g/GTGlWLycL64RcAEoBi4rSsLFBEBrgH2uc+90VeAuaqq8V6Rqn4E5IrIzHivyzTPck27rAA+par5OPlmLXBnVxZouQawXHM4Ve0VD5x/4FXApa1ME8BJTtvdxx+BgDvuJGAbcDOwG9gBXACcDazB+cP6ftSyfgI8BvwHqAQ+AaZGjZ8AvAmUAcuBT0eNewD4K/C8O+88YFTU+PHAq+46VwOXtWde4G1AgWr3s7i8HZ/bRcDSLn72JwC1wFXAXiAtatzngPeAP7ifxQbgWHf4VvezvrbJz3eX+/NXAm8Bw6LGKzA6atpbgSx3/RH3567CSawPALdGzXsSsC3q/XT391bp/h4fbjL9ucAiN+73gSmtfAYbgDlR70cBr7ufxx5gLpDfwryHxOUO2wSc1sr67gF+nOy/u974wHINdDDXuJ/Hr4AVXfzsLddYrjns0Zs6OscA6cCTrUzzA2A2MA2n9XcU8MOo8QPdZRQDP8L5BX8WmAEcD/yviIyImv584FGgL/Bv4CkR8YuIH3gWeAXoD3wDmCsi46LmvQL4KdAHWAf8AkBEsnD+8P7tznsFcIeITGxrXlU9wR0/VVWzVfU/rXwWjU7ASY5dcS3Oz/uI+/68JuOPBpYA/XB+roeBWcBonM/3LyKSHTX9VcDPgQKcP/65ra1cVauBs4Dt7s+drarbW5tHRNKAp4B/4vz+HgUujho/HbgPZ+upH/A34BkRCTSzrCxgBM4/igODcRJ7Y+dsCM4/rFhZifMdNolnuaaduUZEhopIGU5x8P+A37TymbWH5RrLNYfpTYVOP2CPqoZameYq4GequltVS3H+gK+OGh8EfqGqQZw/kALgT6paqarLcVqx0b/wBar6mDv973ES12z3kQ38n6o2qOrrwHPAlVHzPqmqH7nxzsVJiOBU9ptU9X5VDanqQuBx4NJ2zNshInI6TuL4UWfmd5eR6cb2b/dzeIzDW8ob3Z8njLM1MwTn91Cvqq8ADTiJqNHzqvq2qtbj/MM4RkSGdDbGFswG/MAfVTWoqo8BH0eNvw74m6rOU9Wwqj4I1LvzNZXvPlc2DlDVdar6qvszluJ8P06MYfyVUes1iWW5pp1UdYs6u64KcAq9VR2ZP5rlGsByTbN6U6GzFygQEV8r0xQBm6Peb3aHHViG+wcCzhYIwK6o8bU4SaXR1sYXqhrBaUcXuY+t7rDodUUfiLcz6nVN1HKHAUe7B/CVuVtDV+FsAbY1b7uJyGycLZ5LVHVNC9Nc5R5oWSUiL7awqAuBEPCC+34ucJaIFEZN0/QzRFXb+7lW4bTVo39PsVAElKhq9H7u6O/GMODbTX4PQ1qIo8x9PnBQt4gMEJGHRaRERCqAf+Ek+1jJiVqvSSzLNR2kqvuAB4Gnm/vcLNdYrumK3lTofIBTBbd2yt12nC9Vo6HusM46UPmLiAcYzMF98kPcYdHrKmnHMrcCb6lqftQjW1W/2oU4D+G2Sp8BvqCqr7U0narOjWrPtnSK4bU4iWOLiOzEacv6gc90IcTozzUbp93b1u+puQPzqoHMqPfRCXwHUOwe3NhoaNTrrThb3NG/h0xVfeiwFTvt7PXA2KjBv3RjmqyquThtc2k6b3NxiogXKGxh2kYTgMVtTGPiw3JN5/hwdpHlNh1hucZyTVf0mkJHVctxdsH8VUQuEJFMdx/2WSLSuF/4IeCHIlIoIgXu9P/qwmpniMhF7hbKTTjJ70Ocg/ZqgJvdGE7C2Zf8cDuW+RwwVkSubtwHLyKzRGRCO2PaBYxsaaSITAJeAr6hqs+2c5ktLasYOBWnBT6Ng8cj/JqunRFxtojMcfdt/xz4UFW3tjHPLqCfiORFDVvkLquviAzE+R01+gBn6/Cb7md8Ec5xFI3uAa4XkaPFkSXOqfktnYr/Aoe2i3NwDlQsdz+n77QS+xog3V2+H6fFf9j++SZOBFra8jVxZLnmgLZyzUUiMk5EPG7X5ffAQre70yGWaw5huaaJXlPoAKjq74Bv4fzySnEq5RtwDgQD56j5+TgHqy3FOQq+K9cIeBq4HNiPs//9IncfbANOsjkL5yj4O4BrVLXN/dOqWgmcgXMQ4Hac1vGvafvL2OgnwINuC/SyZsZ/G6eCvzeqVdzZg5GvBhap6iuqurPxAfwZmOIWVZ3xb+DHOG3kGThbKK1yP9uHgA3uz16Ec/DfYpyzCl7B2WffOH0Dzhlnn3PXcznwRNT4+cCXgb/g/H7XudO25G7gqqittp8CRwLlOGetPBE9sTjXXPm+u65y4GvA33G2xKtxdk00TntV9O9IRGYBVeqc+mmSwHIN0HauKcbZqKrE+QwiOLufOsNyzUGWa5qQQ3cLmlgRkZ/gnHrY5h+GaT8ReQDn9McftjVtqhGRfwOPqOpTbU7ctfU8Dtyrqi+0ObHp9izXxIflmnatp1vkmtYOljPGxJCqduVYgY6s5+K2pzLG9FSWaw7Vq3ZdGWOMMaZ3sV1XxhhjjOmxrKNjjDHGmB4racfoFBQU6PDhw5O1emNMnCxYsGCPqrZ17Y2EsVxjTM/TkTzToUJHRNJxbtYWcOd9TFV/LM49Vx7GufT5AuBq95S5Fg0fPpz58+d3ZPXGmG5ARDa3PVXiWK4xpufpSJ7p6K6reuAUVZ2Kc0GmM8W5VcCvgT+o6mic8/y/2MHlGmOMMcbEXIcKHXVUuW/97kOBU3BuoAbO/Upau/S56SVUlU17qnl//R7soHdjTHezYnsFdcFw2xOalNbhY3Tce18swLnD619x7qtRpgfv1LuNQ28YFz3vdTh3YmXo0KHNTWJ6gL1V9dzy+BI+2riPijrna/HDcybwpeNbvBq8McaklLnzNvODJ5dxwthC7v/cLLyelm4PZVJdh8+6cm8TPw3npnFHAeM7MO/dqjpTVWcWFqbMsYomxn790ireWlPKOVMG8auLJnPyuEJ+89JqVmyvSHZoxhjTpscWbOMHTy5jVGEWb68p5U+vrU12SKYLOn16uaqWAW8AxwD57s3kwCmA2nNnXNMDLdlWxqMLtvGF40bwq4umcOVRQ/ntpVPJy/Rz48MLrQ1sjElpzyzezs2PLWbO6AKe/+bxXDZzMH9+bS2vrdyV7NBMJ3Wo0HHvtJvvvs4ATgdW4hQ8l7iTXYtzgznTy6gqP312Bf2yAtxwyugDw/tlB/jtpVNZu7uKX72wMokRGmNMy8prgvy/Rxczc1hf7rlmJul+Lz87fxKTinO56T+L2LK3Jtkhmk7oaEdnEPCGiCwBPgZeVdXngFuAb4nIOpxTzO+NbZimO3hm8XYWbN7PzWeOIyfdf8i4E8cW8oXjRvDgB5tZVlKepAiNMaZlzy/dQUMowv+eO5GMNC8A6X4vd141g/pQhPvf35jkCE1ndPSsqyWqOl1Vp6jqJFX9mTt8g6oepaqjVfVSVa2PT7gmVdU2hPnVC6uYXJzHJUcObnaaG08bQ7rfw9x5WxIcnTHGtO2phSWMKsxiUnHuIcOH9M3k5HGFPL9kB+GInUHa3dgtIExMPLdkOzsr6vje2ePxtHB2Ql6Gn3OnFPHMohKq6kPNTmOMMcmwdV8NH23ax0VHDkbk8Bx27pQidlfW8/GmfUmIznSFFTomJh5dsI0RBVkcM7Jfq9NdedRQqhvCPLt4e4IiM8aYtj29yDmH5tNTi5odf+qE/mT4vZa7uiErdEyXbd5bzUcb93HJjOa3hKIdOTSfcQNyeOgj231lDiUi40RkUdSjQkRuajLNSSJSHjXNj5IVr+k5VJUnF5Zw1PC+DOmb2ew0mWk+Tp3QnxeX7SQUjiQ4QtMVVuiYLntswTY8Ahcd2ex1Ig8hIlx51BCWbCu3g5LNIVR1tapOc6/TNQOoAZ5sZtJ3GqdrPE7QmK5YVlLB+tJqLpjeeg47b2oR+6obeH/93gRFZmLBCh3TJeGI8viCbcwZU8igvIx2zXPh9MEEfB7r6pjWnAqsV9WUukGo6ZmeXFhCmtfDOZMHtTrdiWMLyQn4bPdVN2OFjumS99fvYXt5HZfOaP5Mq+bkZfo5Z8ognl60nZoGOyjZNOsK4KEWxh0jIotF5EUROaK5CUTkOhGZLyLzS0tL4xel6fYiEeXZJds5eXwheZn+VqdN93s5/YgBvLR8J/Uhu/hpd2GFjumSR+dvIzfdx+kTB3RovstmDqGqPsR/V+6OU2SmuxKRNODTwKPNjP4EGKaqU4HbgaeaW4bdbsa015KSckor6zlrUuvdnEbnTS2isi7Eu2v3xDkyEytW6JhOq6gL8vLynZw/rZh0v7dD884a3pcBuQFrAZvmnAV8oqqHXXNfVStUtcp9/QLgF5GCRAdoeo7XV+3GI85uqfY4blQB2QGfbaR1I1bomE57edlO6kORdh2E3JTXI5w9eRBvrS6loi4Yh+hMN3YlLey2EpGB4p7aJyJH4eQwOzLUdNrrq3Zx5NA+9MlKa9f0aT4Pc0YX8Obq3ajaxQO7Ayt0TKc9u2QHQ/pmMG1IfqfmP29qEQ3hCK8st5vlGYeIZOHcQ++JqGHXi8j17ttLgGUishj4M3CF2n8b00m7KupYVlLByeP7d2i+U8b3Z0d5Hat2VsYpMhNLVuiYTtlbVc976/Zw3pSiNq+d05LpQ/Ipzs/guSW2+8o4VLVaVfupannUsLtU9S739V9U9QhVnaqqs1X1/eRFa7q7N1Y5u59OndCxQuekcc5urtdX2e6r7sAKHdMpLy7bSTiinNfCVUTbQ0Q4d+og3l27h/3VDTGMzhhj2vbaqt0U52cwbkBOh+brn5vOpOJc3lxthU53YIWO6ZRnF29ndP9sxg/sWIJo6rwpRYQiykvLd8YoMmOMaVtdMMx76/Zw8vjCTnWlTx7XnwWb91NWYxtpqc4KHdNhO8vr+GjTvi7ttmp0RFEuIwqy7OwrY0xCzdu4j5qGMKeO79ilMRqdPL4/EYW31th1mlKdFTqmw55fugNVOHdq+6470RoR4bwpg/hww152V9bFIDpjjGnb6yt3ke73cMyo1m9E3JKpg/Ppm5XGm6ut0El1VuiYDnt28XaOKMplVGF2TJb36WlFRBSeX7IjJsszxpjWqCqvrdrNsaMKOnwNsEZej3Di2ELeXL2bcMRO/EtlVuiYDtm8t5pFW8u6dBByU6P75zBhUC7P2O4rY0wCrNpZybb9tR2+ontTJ4/vz/6aIIu2lsUoMhMPVuiYDnlq4XZE4NMxLHTAWd7CLWVs2VsT0+UaY0xTr67YhUjHTytv6sQxhXg9wn9X2rXAUpkVOqbdVJUnF25j9oh+FOW3707l7XWee7zPs3ZNHWNMnL2yYifThuTTPye9S8vJy/Rz9Ii+vLrCCp1UZoWOabeFW8vYtLeGCztxy4e2DO6TycxhfXh6UUnMl22MMY22l9WyrKSCMyYOjMnyzpg4gHW7q9hQWhWT5ZnYs0LHtNtTC0sI+DycNSk2CaKp86cVsWZXFat2VsRl+cYY07ibqavH5zQ6zV2OdXVSlxU6pl0aQhGeXbyd0ycOICfdH5d1nD15EF6P8PQi231ljImPV1fsYmRhFqP7x+as0cF9MjmiKJdXrNBJWVbomHZ5e00p+2uCXDg99rutGvXLDjBndAHPLNpOxE7XNMbEWHltkA/W741ZN6fR6RMH8MmW/ZRW1sd0uSY2rNAx7fLkwhL6ZqVxwtjCuK7nwunFlJTV8uHGvXFdjzGm93lz9W5CEeWMGBc6Z0wciCq8vsq6OqmoQ4WOiAwRkTdEZIWILBeRG93hfUXkVRFZ6z73iU+4JhnKahp4deUuzpsyCL83vrXxmZMGkpPu4z8fb43reowxvc+rK3ZRkB1g2pDY/ouaMCiH4vwMXlluhU4q6uh/rRDwbVWdCMwGvi4iE4HvAq+p6hjgNfe96SEe/6SEhlCEy2cNjfu60v1eLphWzIvLdlJeE4z7+owxvUNNQ4jXV+3m9IkD8Hq6do++pkSE0ycO4J11e6iuD8V02abrOlToqOoOVf3EfV0JrASKgfOBB93JHgQuiGWQJnlUlbnzNjN9aD4Ti3ITss7LZw2hIRTh6cV2qrkxJjZeXbGLmoYwF0yL7cVOG51xxAAaQhFeX7U7Lss3ndfp/RAiMhyYDswDBqhq442KdgLN7gAVketEZL6IzC8ttRuhdQcfbtjHhtJqrjp6WMLWOak4jyOKcnn4I9t9ZYyJjScXllCcn8Gs4X3jsvyjR/RjQG6ApxbaBlqq6VShIyLZwOPATap6yEVPVFWBZk+ZUdW7VXWmqs4sLIzvQa0mNubO20xuuo9zp3T9TuUdcfmsIazYUcGykvKErtcY0/OUVtbzzto9nD+tCE+Md1s18nqEC6YV89aaUvZW2dlXqaTDhY6I+HGKnLmq+oQ7eJeIDHLHDwKsd9cDlFbW8/LynVwyY0in7/DbWedPLSbN5+Hhj7ckdL3GmJ7nuSXbCUc0rpfHALjwyGJCEeW5JTvantgkTEfPuhLgXmClqv4+atQzwLXu62uBp2MTnkmmRxdsJRhWPnN0/A9Cbiov08/Zkwby9MLtdnBfLyIim0RkqYgsEpH5zYwXEfmziKwTkSUicmQy4jTdy1MLSziiKJcxA3Liup7xA3OZMCiXJ2z3VUrpaEfnOOBq4BQ3ES0SkbOB/wNOF5G1wGnue9ONhSPKv+dtYfbIvjG7gmhHXXPscCrrQzwy347V6WVOVtVpqjqzmXFnAWPcx3XAnQmNzHQ7G0qrWLytPO7dnEYXTS9m8dYyu/dVCunoWVfvqqqo6hQ3EU1T1RdUda+qnqqqY1T1NFXdF6+ATWK8sHQH2/bX8rljhycthiOH9mHGsD7c995GwnalZOM4H/iHOj4E8ht3mxvTnKcWbccjcN7U+Jxt1dSnpxXhEeyg5BRiV0Y2h1FV7nhzPSMLs2J2h9/O+vLxI9i6r5ZXlu9MahwmYRR4RUQWiMh1zYwvBqJbfNvcYYewMzwNQCgc4bH5WzludAEDctMTss4BuekcN7qAJxeV4JybY5LNCh1zmDfXlLJyRwXXnzgqbmcotNfpEwcytG8m97yzIalxmISZo6pH4uyi+rqInNCZhdgZngbglRW72F5ex9WzE3d5DHBuZbN1Xy0fbLBb2aQCK3TMYe58Yz2D8tK5YFpi9mm3xusRvnDccD7ZUsaCzfuTHY6JM1UtcZ93A08CRzWZpAQYEvV+sDvMmMPc/95GhvTN4NQJsb23VVvOnjyIvllp3P/epoSu1zTPCh1ziPmb9vHRpn18+fiRpPlS4+tx6cwh5Kb7+Lt1dXo0EckSkZzG18AZwLImkz0DXOOefTUbKI+6WKkxBywrKefjTfu59pjhMb/lQ1vS/V6uOnoo/125i817qxO6bnO41PhPZlLGnW+up0+mnyuOGtL2xAmSFfBx9THDeGn5TlbtrGh7BtNdDQDeFZHFwEfA86r6kohcLyLXu9O8AGwA1gH3AF9LTqgm1d333kay0rxcNis5ueyzs4fh8wgPvL8pKes3B1mhYw6Yv2kfr63azRfnjCAzzZfscA5x3fGjyA74+O3La5IdiokTVd2gqlPdxxGq+gt3+F2qepf7WlX166o6SlUnq+ph19oxprSynucW7+CSGYPJTfcnJYYBuemcO6WIR+dvo7LOblCcTFboGMA50+rW51cyIDfAF+aMSHY4h8nL9HP9iaP478pdfLLFjtUxxrRs7rzNNIQjXJvEy2MAfOG4EVTVh3hk/rakxtHbWaFjAHh+6Q4WbS3j26ePS7luTqPPHTucguw0bntptZ22aYxpVkVdkAfe38Sp4/szsjA5FzttNHlwHrOG9+GB9+1aYMlkhY6hPhTmNy+tZvzAHC6eMTjZ4bQoK+DjhpNH88GGvby7bk+ywzHGpKB73t5AWU2Q/zl9bLJDAeCLc5xrgT29yE4OTBYrdAz//GAzW/bV8P2zJyT87ISOuvLooRTnZ/Drl1bZFpIx5hCllfXc++5Gzp0yiEnFeckOB4AzJg5kUnEuv3tlDfWhcLLD6ZWs0OnldlXU8afX1nLC2EJOGJv6F1YL+LzcctZ4lpVUMHfe5mSHY4xJIX99Yx31oQjfSpFuDoDHI9z8qfGUlNXy73lbkh1Or2SFTi+mqvzwqWU0hCL87NNHJDucdjtvyiCOH1PAbS+tZndFXbLDMcakgG37a/j3vC1cOmNw0o/Naer4MQUcM7Iff3l9HVX1oWSH0+tYodOLPbdkB6+u2MW3zxjL8IKsZIfTbiLCz8+fRH04ws+eW5HscIwxKeB3r6wBgRtPG5PsUA4jItxy1nj2VjfYhU+TwAqdXmpfdQM/eWY5Uwfn8YXjUu908rYML8jihpNH89ySHby1xm7aaExv9s7aUp5cWMJ1x49kUF5GssNp1rQh+Zx5xEDueXsDu6wTnVBW6PRCqspPnllORV2QX18yBZ+3e34NvnLiSEYWZPH9J5ZSXmsX5DKmN6ppCPH9J5cysiCLG04ZnexwWnXLWeMJRpT/fWqZXSIjgbrnfzjTJQ9/vJVnFm/nm6eMYfzA3GSH02kBn5ffXjaVnRV1/ODJpZY4jOmF/vjftWzdV8svL5pMut+b7HBaNaIgi/85bSyvrNjFi8t2JjucXsMKnV5mWUk5P35mOcePKeDrJ6f21k97HDm0D986fSzPLdnBo3b1UWN6laXbyvn7Oxu48qghzB7ZL9nhtMuXjx/BEUW5/Ojp5ZTVNCQ7nF7BCp1epLw2yNfmfkLfzDT+ePk0PCl+zZz2uv7EURw7qh8/fmY563ZXJTscY0wCVNWHuPE/C+mXHeC7Z01Idjjt5vN6+PXFU9hf08Ctz69Mdji9ghU6vUQoHOFb/1nE9rJa/nrVdPplB5IdUsx4PcIfLp9Gut/D1+YusBvoGdPDqSrffXwJm/ZU86crppGXkZwbd3bWpOI8vnLCSB5bsI3nlmxPdjg9nhU6vYCq8uNnlvPaqt386LyJzBjWN9khxdyA3HRuv/JI1pdWc8O/FxIKR5IdkjEmTv7xwWaeW7KDb58xjmNHFSQ7nE656bSxHDk0n5sfW8LaXZXJDqdHs0KnF7jjzfXMnbeFr5w4kmuOGZ7scOJmzpgCfn7+JN5aU8rP7fo6xvRIn2zZz63Pr+DU8f356omjkh1Op6X5PNxx1Qwy07xc/68FdiHBOLJCp4d7ZP5Wbnt5NRdMK+KWT41Pdjhx95mjh/KlOSN48IPN3PfuxmSHY4yJofWlVXzpwfkMysvg95d1/+MMB+al8+crp7NxTzU3P7aYiN2/Ly6s0OnBHvl4K7c8voQ5owv4zSVTu31SaK/vnT2BMyYO4GfPreChj+zeMsb0BDvKa7nm3o/wCDz4haPIy+xex+W05NhRBXz3rPG8sHQntz6/0i6TEQdW6PRQ//pwMze7Rc4918wkzdd7ftVej3D7Z6Zz8rhCvvfEUh75eGuyQzLGdEFZTQPX3PsR5bVBHvj8UYzoRresaY8vHz+Szx83nPve28hfXl+X7HB6nN7z36+XUFXueXsDP3xqGaeO788918wkIy21L6IVDwGflzs/O4PjxxRwyxNLrNgxppvaXVnHFXd/yOa9Ndx9zQwmFeclO6SYExH+95yJXDS9mN+9uoZ/frAp2SH1KB0udETkPhHZLSLLoob1FZFXRWSt+9wntmGa9giGI/zgqWX84oWVnDN5EHd+dkbKXyk0ntL9Xu65ZiZzRhdw8+NL+Mvra60tbEw3snVfDZfe9QGb99bw92tndtszrNrD4xF+fckUTpswgP99ejn3vG03/4yVznR0HgDObDLsu8BrqjoGeM19bxKovDbI5+//mH/P28JXTxrF7VdO71W7q1qS7vdy77WzuGBaEb99ZQ3ff3KpnXqeokRkiIi8ISIrRGS5iNzYzDQniUi5iCxyHz9KRqwm/lZsr+DiO9+nrCbI3C8fzQljC5MdUtz5vR7+etV0zpk8iF+8sJL/e3GVbZzFgK+jM6jq2yIyvMng84GT3NcPAm8Ct3QhLtMBi7eW8Y2HFrKjvJbfXDKFy2YOSXZIKSXN5+EPl0+jKD+DO95cz9Z9tfz5yun0zUpLdmjmUCHg26r6iYjkAAtE5FVVbXqtgHdU9dwkxGcS5OlFJdzy+BLyMvw88pVjGDcwJ9khJUzA5+XPV04nP9PPXW+tZ09VPb+4cBIBX+/tzndVrDb5B6jqDvf1TmBAcxOJyHUiMl9E5peWlsZo1b2XqnLvuxu55K73CYUjPHzdbCtyWiBjg/aJAAAgAElEQVQi3HzmeH598WQ+2rSPc/78Dp9s2Z/ssEwUVd2hqp+4ryuBlUBxcqMyiRQKR/jF8yu48eFFTC7O49lvzOlVRU4jr0e49YJJ3HTaGB5bsI3L/vYh28tqkx1WtxXzfRvq9Nma7bWp6t2qOlNVZxYW9vw2ZDyVlNVy7f0f8/PnVnDi2P68cOPxPfKKx7F2+ayhPPHVY/F6hMv/9gF/f2eDXbsiBbld4+nAvGZGHyMii0XkRRE5ooX5baOqm1lfWsUld33APe9s5NpjhjH3S7Ppn5Oe7LCSRkS46bSx3PXZGazfXcV5t7/Le+v2JDusbilWhc4uERkE4D7vjtFyTRORiPLPDzdzxu/fYv6mffzs/CO455oZ5Gfabpj2mlScx/PfOJ6TxvXn1udXcsU9H7Jlb02ywzIuEckGHgduUtWKJqM/AYap6lTgduCp5pZhG1XdRySiPPDeRs758zts2lvN7VdO56fnT7JjDF1nThrIU18/jj5ZaXz23nn87NkV1AXDyQ6rW4nVN+kZ4Fr39bXA0zFaromyeGsZF9/1Pv/71DKmD+3DyzedwDXHDEekd1wIMJbyMv3cffUMfnvpVFZur+DMP73Nfe9utAOVk0xE/DhFzlxVfaLpeFWtUNUq9/ULgF9Eeu6pOD3cspJyLr7rfX7y7Apmj+zHyzedwHlTi5IdVsoZ3T+bZ244jmtmD+O+9zZytu167xDp6BHdIvIQzoHHBcAu4Mc4W1WPAEOBzcBlqrqvteXMnDlT58+f34mQe59dFXXc9vJqHluwjYLsALecOY5LZgy2AidGtpfV8r0nlvLWmlLGD8zh1gsmMXO47QbsLBFZoKozOzGf4JzMsE9Vb2phmoHALlVVETkKeAynw9NiIrNck3r2VtXzh/+uYe68LfTLSuO7Z03g4iOLLae1w7tr93DzY4vZXl7H5TOHcPOZ4+iXHUh2WAnXkTzT4UInViz5tG1vVT13vrmef364mYgqX5gzghtOHk1Oes+49HkqUVVeXr6Tnz27gu3ldZw7ZRD/74xxDO9hV2BNhC4UOnOAd4ClQGNr7fs4G1Co6l0icgPwVZwztGqBb6nq+60t13JN6qisC3LPOxu5950N1AbDXHPMcP7n9LHkZVhO64jKuiC3v76O+97dSEaalxtPHcNnZw/rVddNs0Knm9tVUce9725k7oebqQ2GuXD6YG46bQxD+mYmO7Qer6YhxJ1vrufv72wkGI5w5VFDueGU0QzI7b0HRXZUZwudeLFck3z7qxv4xwebeeD9jeyvCXL25IF86/RxjO6fnezQurV1uyv56bMreGftHgblpXPjqWO4eMZg/N6ef3yTFTrd1Oqdldz37kaeWLiNcEQ5Z0oRN546mtH9e9/plcm2u6KOP7++loc/2opHhEtmDv7/7d15mFx1lfDx76mlq3rfl3SSTmcPkA1IICAE2QYEBMaBEURQHGV05PX1ZRxlZnwd1Fleh9FxcHAYRFkUFWGcARVBNpEtCQkEsm8koZNOd6f3tbZbv/ePe6u7knSS7k51Vd3K+TxPPX3r3lu3TlXdPnXuqVu/4rMrZ9NQqcXm8WihoxL2tA/w8Bt7+PmaJoaiFhcvqOGLl8xj0bTc+xmHTHptZzt3P7uN9U3dTCvP5zPnz+L6ZdMoyBv3UHmuoYWOi0RicZ7b3Mojb+xh9e5OAj4Pf7psOp85f5a+qWaBps5B7nt5F4+v3YdlDJefVsetH2jkzBnlej7BUWihc3KLWnFe3NrGT1bt5ZUd7fg8wtVL6/nzlbNPyjFx0sUYw4tb2/j+73exbm8XZQV+bjq7gRvPamBaee69l2ih4wKbm3t5fF0TT65vpnMgwvSKfG5eMYPrz5xOuY7Ym3Vae0P86NXd/GzN+/SGYiyaWspNZzfw4SX1FAZy96hpIrTQOfkYY9h8oJf/WrefJ9fvp2MgQl1JkI+d3cANy6dTox/9ptXaPZ385x/e44UtrQBcOL+GG89q4IL51TnzsZYWOllqb8cAv3qnmafeaWZ7az95Xg+XnlrLdcumsXJuNV6Pdgiy3WAkxi/f2s8jb+xhe2s/hXlerlpcz0fOmMryxgo8+hpqoXOSMMaw5UAfT284wNMbDvBe+wB5Xg8Xn1LDR86YxoXzq/HlyJuqW+3vHuJnq9/n52820d4fprIwj6uX1nP1knqWTi9zdVdaC50skUgEv9vcwrObWtlywB77bHljOR9eUs+HF9dr98aljDG83dTNY2ua+NW7zQxGLOpLg3x4aT1XLprCoqmlrk4iJ0ILndwVilqs3t3JC1taeWFLG/u7h/AInDO7kisWTeHKRVN08NIsFLXi/GH7Qf7rrX08v7mNiBVnalk+H1pYxx+dVscZDWWuK0q10Mmg3lCUVbs6eGnbQX6/rY0DPSFEYNmMci47rY4PLZrC1LL8TIepUmgwEuO5za08ub6Zl7cfxIobppblc/nCOi45pZZljeU50y4eCy10cocVN2xu7uWN99p5ZUc7q3d3EonFCfo9nDenmktOqeGSU2upOgnHcXGrnqEoz29u5ekNB3hlRzsRK05ZgZ8L59fwwfnVfGBOlSteTy100mgwEuOtvd2s3t3BazvbeWdfD1bcUBTwcd6cKi5cUM1FC2qpLs7+HUeduK6BCM9vaeWZjS3DSaQ46GPlvGoumFvNeXOrqM/xQlcLHfcaili8s6+bdXu7WLunk7V7uugLxwCYW1PEynn2PnzOrMqTasyWXNUXivKH7e28sLWVl7a20TUYBeC0+hLOnV3J2TMrWT6zIivHOdJCZxK19YZ46/0uOxHs7WLDvh5icYNHYPG0Ms6fW8W5s6s4c0a5/lbLSW4gHOPVne28uKWNl7a10dYXBmB2dSHnzK5kxSz74oajp/HQQscdwjGLHa39bNzfwzv7eninqZttrX1Yzo/czqkpYnljhb2vzqzQE4pznBU3bGru4ZUd7byy4yBvvd9NJBZHBObXFnPmjHKWNZazZFoZjZWFGT8fUQudFOkaiLCpuZcN+3t4d1837zR109wTAiDP52HR1FLOmlnBWTMrWDajXEcsVkdljGF7az+v7DjIqzvbeXN3JwMR+4f5ZlYVsmxGOWfOKOf0hnLm1BS5+sR0LXSyizGGlt4Q21v72d7Sx5aWXrYe6GNHWx9Ry87/JUEfS6aXsdS5nNFQrucPnuRCUYv1Td2seq+DdXu7ePv9bvqd7l5J0MfiaWUsnFrKafUlLJxayoyKgrQWP1rojFPMirOnY4BtLf1sbelly4FethzoY3/30PA6DRUFLJlexpJppZzeUM7CqSUEfNq6VRMTs+JsbO5l9XsdrHU+Jki0jQvzvCyaVjqcSBbWl2TFEdRYaaGTGaGoxZ6OAfa0D/Be+wC72gbYdbCfXW39wx8/AdSWBFhQV8IpU0pYNLWUhVNLmF6e3jcp5T5W3LC9tY9393WzvsnuACYXy/l+L/Pqijmlrpi5tcXMrSlibm0RdSXBSflihhY6R9EfjrGn3fnnPzjArrZ+dh3s572DA0ScX632eoRZVYWcMqWEU+vtRHBafYl+k0BNKmMMu9sHWN/Uzfomu3u4paWPSMzeLwvyvJwypYQFdcUsqCtmXm0x8+uKs3K/1EJnclhxQ1tfiP1dQzR1DdLUOURT5yB7Owdp6hykpTdEcjqvLQkwu7qI2dVFzKstYm6tvd9UaKdGpUji489NzT1sbelj64E+trb0Dh+0gX3gNqu6iNnVhTRWFTKzqpAZlYXMqCigrMA/4SLopC10jDF0DkRo6hrifeeff2/HAHs6BtnTPjB8jgSAiN2lmVNdxJyaIuY7bx5zaor0JDuVFaJWnO2tfWxq7mWzc9nS0ktfaOTovKoowNyaImbXFDK7uohZ1UXMqiqkviw/Yx9/aaEzfpFYnIP9Ydp6Q7T0hGjptS8HukMc6Bmiudu+njh/JqG6OMCMigIaKgtorHTeSCoLaawq0I/SVUYYY+gYiLC9tY+dbXYjIdFQaO4ZOqQYLw76aKgoYFp5PtPLC5hRVcjNK2aM6X7Gk2dcNaRrKGrR1humuWeIlp4QzT1D7O8aorl7iH1d9mUoah1ym+riAI2VBVwwr5rGqkJmVRUys7qQxspCLWhUVvN7PZxWX8pp9SO/C2SM4UBPiG0t9jkWO1r72dHWz5Prmw8pgPK8HqZX5NNYWUhDZQENFfZlupNUcvk3cLJFKGrRORChcyBCe3+Yjn77b2L6YH+Yg31h2vrCdA5Ejrh9ntdDXWmQutIgyxvLmVqeT31ZPlPL8plWbr+OmsNUthERqooCVBUFOHd21SHLQlGLps5BdrcPDDcj3u8c5L2DA7y8/SBVRYExFzrjkfXZ7vfb2vjWM9to7Q2NmgzKC/xMLc9nZlUhK+dVM63cTgJ2UteErnKLiFBfZr/hXbigZni+MYb2/gi7Dvazp32A3c65Gns7BnnjvQ4GI4ceAFQU5jHVedO0txdkSmk+U8qCTCkNUl0UcN0AYpMlEovTMxQdvvQORekeitAzGKVrMEr3YITuIXu6yylsugYjRzznCQGfh6qiADUlARoqCjhjRjm1xUFqSgLUFAfs4qYkSHlBnp43o3JK0O+1z9+pPfI3z4wx9CYdrKVS1lcBhQEf9aVBTm8oY0pJkNrSIPWl+dSVBqkvC2ohoxR2AVRdHKC6OMCKWZWHLEsUQfZ5HYPD3c/93UPsaOvjDzsOHvGm7BH7Y7HakiC1JUFuv2gOS6eXpfMhpd23f7eNd/b10BeK0heK0TsUpTcUJRSNH/N2JUEfZQV5lBfmUVWUx9yaIsoL86hIulQV5VFRGKCqKI+igO+kHTVbqaMRkUkbryfrq4TljRUs/2RFpsNQyrWSi6AzGsqPWG6MoXcoxv7uIVp6h2jpCXOgZ4i23jAtvSH2dQ1ixY/9Zp8L2nrD9AxGKA76qSsJUhL0U1rgpzjgo7TAT2m+n5J8P2X59nTiop0vpbJb1hc6SqnJJSL2G3mBn1PrSzIdTsZ867rFmQ5BKTUJ9FBEKaWUUjlLCx2llFJK5ayMFTpVVVXHX0kp5UbtmQ4gmeYapXLSmPNMxgYMFJFngLFmoCqyLHmOgcacHhpzeown5nZjzOWTGcx4aK7JSm6L2W3xQu7HPOY8k7FCZzxEZG02jbQ6FhpzemjM6eHGmCfCjY9TY558bosXNOZkeo6OUkoppXKWFjpKKaWUylluKXTuz3QAE6Axp4fGnB5ujHki3Pg4NebJ57Z4QWMe5opzdJRSSimlJsItHR2llFJKqXHLikJHRIIiskZE3hGRTSLydWf+TBFZLSI7ReQxEclz5gec6zud5Y1ZFPPtTlxGRKqS1hcRucdZ9q6InJEl8T4qIttEZKOI/EhE/NkQ73Fi/qEz710ReUJEipz5WbtfJC2/R0T6k65nbcwi8pCI7BaR9c5lqTM/4/vGRGieyXjMmmvSEHPS8qzKNRnNM8aYjF8AAYqcaT+wGlgB/AK4wZl/H/A5Z/ovgPuc6RuAx7Io5tOBRmAPUJW0/hXAb53brQBWZ0m8VzjLBPhZ0nOc0XiPE3NJ0jrfAe7M9v3Cub4M+DHQn7R+1sYMPARcN8r6Gd83Uvw4Nc+kJ2bNNWmI2bmedbkmk3kmKzo6xpaoPP3OxQAXAU848x8GrnWmr3Gu4yy/WEQkTeECR4/ZGPO2MWbPKDe5BnjEud0qoExEpqQp3GPF+7SzzABrgGnZEO9xYu4Fu+IH8rH3lUTMWblfiIgXuBv48mE3ydqYj3GTjO8bE6F5Jj0016SH23JNJvNMVhQ6ACLiFZH1QBvwHLAL6DbGxJxV9gFTnempQBOAs7wHqExvxEfGbIxZfYzVh2N2JD+etDhWvE4b+WbgGWdWxuN14ho1ZhF5EGgBFgDfc1bP5v3iduApY8yBw1bP5pgB/sFpG/+riAQOj9mRkX1jIjTPpIfmmozGnLW5JlN5JmsKHWOMZYxZil3ln4W9U2W1w2MWkYWZjulYjhPv94E/GGNeyUx0oztazMaYW4F6YAvw0QyGeIRRYl4JXM9Iksw6R3me/xr7/3A5UAF8JYMhpoTmmfTQXJMebss1mcozWVPoJBhjuoGXgHOwW1U+Z9E0YL8zvR+YDuAsLwU60hzqsKSYj/W7G8MxO5IfT1odHq+I/B1QDdyRtFrWxAujP8fGGAv4OfAnzqxs3S8uBOYAO0VkD1AgIjud1bI15suNMQectnEYeBC7MIAs2zcmQvNMemiuSQ+35Zp055msKHREpFpEypzpfOBS7Or5JeA6Z7VPAE86008513GWv+h87ps2R4l56zFu8hRwi3Mm+QqgZ5TW4qQ5Wrwi8mngMuBGY0w8W+I9RszbRGSOM0+Aqxl53rN1v1hnjKkzxjQaYxqBQWPMnCyPeWvi83Dneb4W2JgUc0b3jYnQPJMemmsyGnPW5pqM5hmT5jPFR7sAi4G3gXedB/k1Z/4s7JPWdgKPAwFnftC5vtNZPiuLYv4C9meJMaAZeMCMnHF+L/Y5ARuAZVkSb8yJab1z+Vo2xHu0mLGL89ecmDYCj+J8MyKb94vD1kn+JkTWxgy8mPQ8/4SRb0xkfN9I8ePUPJOemDXXpOF5PmydrMk1mcwzOjKyUkoppXJWVnx0pZRSSik1GbTQUUoppVTO0kJHKaWUUjlLCx2llFJK5SwtdJRSSimVs7TQUUoppVTO0kJHKaWUUjlLCx2llFJK5SwtdJRSSimVs7TQUUoppVTO0kJHKaWUUjlLCx2llFJK5SwtdJTriMhdIvKTLIjjz0Xkuync3idF5FVnOiAiW0WkOlXbV0qNj+aa3KCFzhiJyMdEZK2I9IvIARH5rYicl+m40kVEjIjMOcbyK0XkVRHpFpEWEXlARIpP4P4eEpGI83x3ishzIrJgottLNRHJA74K3D0Z2zfGhIEfAXdOxvZV9tJcc9xcc6GIbHByTYeI/LeITD2B+9Nck+O5RgudMRCRO4DvAv8I1AINwPeBazIZV5YpBf4eqAdOAaZy4v+Y/2yMKQKmAW3AQye4vVS6BthqjNk/2kIR8aXgPn4KfEJEAinYlnIBzTVjshm4zBhThp1vdgD/cYLb1FyTw7lGC53jEJFS4BvA540xvzTGDBhjosaYXxlj/spZJyAi3xWRZufy3cQOIyIfFJF9IvJlEWlzjtCuFZErRGS7cwTxN0n3d5eIPCEij4lIn4i8JSJLkpafIiK/d45mNonI1UnLHhKRe0XkN85tV4vI7KTlC5yjlU4R2SYifzqW24rIH5zV3nGOej56+PNkjPmpMeYZY8ygMaYL+AHwgVS8BsaYQex/xIVJs/NE5BEn1k0isizpsdwpIrucZZtF5I+Tls0RkZdFpEdE2kXksbE8P6P4EPBy0m0bnSPRPxOR94EXnfmPOx2uHhH5g4iclnSbShF5SkR6RWQNMDv5Dowx+4AuYMU4nzLlQpprxpxrWo0xzUmzLOCoHaDx0FyTo7nGGKOXY1yAy4EY4DvGOt8AVgE1QDXwOvBNZ9kHndt/DfADnwEOYv8zFQOnAUPATGf9u4AocJ2z/peA3c60H9gJ/A2QB1wE9AHznds+BHQAZwE+4FHg586yQqAJuNVZdjrQDpx6vNs6yw0wZxzP23eTbz+B5/0h4O+d6SLn+Xol6TkKAVcAXuCfgFVJt70e+0jPA3wUGACmOMt+BvytsywInDeW52eU+N4Erk+63ug8R48428p35n/KeZ0DznOyPuk2Pwd+4ay/ENgPvHrY/TwFfCHT/wd6mfwLmmsSj/G4uQa709UNxJ3H8MkTeN4fQnMN5HCuyXgA2X4BbgJajrPOLuCKpOuXAXuc6Q86ycXrXC92dtKzk9ZfB1zrTN912D+SBzgAnO9cWgBP0vKfAXc50w8BDyQtuwK75YnzT/jKYXH/J/B3x7utc33MhQ5wKfbRwbwTeN4fchJMt/OYnwJmJz1HzyeteyowdIxtrQeucaYfAe4Hph22zjGfn1G2uQO4POl6IvnMOkYcZc46pdhJMwosSFr+j6Mkn0eBr2X6/0Avk3/RXDN8fTy5pgL4CrDiBJ53zTUmt3ONfnR1fB1AlRz7c9B6YG/S9b3OvOFtGGMsZ3rI+duatHwI+0gioSkxYYyJA/uc7dUDTc685PtKPhGvJWl6MGm7M4CznTZ0t4h0YyfWujHcdsxEZAX2EdF1xpjtR1nnJqct3S8ivz3G5v7FGFNmjKkzxlxtjNl1jFiDiddIRG4RkfVJj3MhUOWs+2VAgDVOG/pTzvyxPD/JurDfSA43/NqJiFdE/p/T2u4F9jiLqrCPxn3J63PoPpRQjJ2AVe7TXDNOxphO4GHgydGeN801mmvAfvDq2N4AwsC1wBNHWacZe+fd5FxvcOZN1PTEhIh4sE+QS2xvuoh4khJQAzBqQXGYJuBlY8ylJxDXMYnI6dhHQ58yxrxwtPWMMY9iHz1MRgwzsM8Puhh4wxhjich67ISDMaYFu6WP2N9ked45L2C8z8+7wLxR5puk6Y9hn0h4CXbiKcVOWoL9kUIM+7Xe6qzfMMr2TgG+PcaYlLtprpkYH/ZHeSVAZ/ICzTWaa0BPRj4uY0wP9mfe9zon9hWIiF9EPiQi/+ys9jPgqyJSLSJVzvonMvbCmSLyEeeo4YvYyW8VsBr7iOLLTgwfBD6M/fnr8fwamCciNzu39YvIchE5ZYwxtQKzjrZQRBYCzwD/yxjzqzFuczIUYieAg05ct5J0YqGIXC8i05yrXc66ccb//DwNXHCcWIqxX7sOoAC7XQyAc9T9S+AuZ586FfhE8o3F/spsBfZrr3Kc5pphx8s1HxGR+SLiEXvsl+8AbzvdnXTSXOMSWuiMgTHm28Ad2GMZHMSuyG8H/sdZ5e+BtdiV9wbgLWfeRD2J/TluF3Az8BFjf/sigp1sPoR98tr3gVuMMVuPuqWRx9AH/BFwA/YRWwvwLewT18biLuBhp9U62jcE/hK7RfrDpFbxplHWm1TGmM3YRyVvYCfMRcBrSassB1aLSD929+l/G2Pem8Dz8ytggYjUH2U52J/R78U+8W8zRyaR27Fb9i3Y5wk8eNjyjwEPG3ucC3US0FwDHD/XTMU+qOrDfg7iwB+Pst6k0lzjHuKchKSyhIjchX0i3sczHYs6NhG5DfubEl+chG0HgHeAlcaYtlRvXynNNe6huebE6Dk6Sk2QMeb+Sdx2GMia0VmVUpmjuebE6EdXSimllMpZ+tGVUkoppXKWdnSUUkoplbMydo5OVVWVaWxszNTdK6Umybp169qNMdWZjiNBc41SuWc8eSZjhU5jYyNr167N1N0rpSaJiIw26mrGaK5RKveMJ8/oR1dKKaWUylla6KhJoSe5K6VyleY3d9FCR6VcU+cgy/7+eX7z7oFMh6KUUinVMxRl+T+8wL0v7dSCxyW00FEp19Q1SMdAhP/z2Hpe39We6XCUUipl2npDtPeHufvZbXzj15uJx7XYyXZa6KiUC8fsHzsO+j3c9sg6NjX3ZDgipZRKjUR+WzKtlAdf28Mdv1hPJBY/zq1UJmmho1IuHLUA+O4NSykJ+vjkg2/yfsdghqNSSqkTF3Ly2x1/NJ+/umw+/7O+mWvvfY0drX0ZjkwdjRY6KuUSRzwzKgt55M/OImrFuemHq2jtDWU4MqWUOjHDHWufh89fOIcf3LKMlt4QV33vVR58bbd+lJWFtNBRKZc44gn6vcypKebhW8+isz/Cxx9YTddAJMPRKaXUxCXnN4BLT63lmS+ez7mzK/n6rzZzxT2v8NK2Nj1ROYtooaNSLnHEE/DZu9eS6WX84BPL2Ns5yCcfXENvKJrJ8JRSasKG85t/5O2zpjjIjz65nH+7YSmDEYtbH3yTG+5fxfObW7G0w5NxWuiolDv8iAfg3NlV3PuxM9jU3MvHfrCKTu3sKKVcaDi/+byHzBcRrlk6lefvuICvX30au9sH+PQja1n5zy9x70s79TzFDNJCR6VcOHpoRyfh0lNr+cEty9jR2s9H//MNPWdHKeU6o3V0kuX5PHzi3EZeu/Mivn/TGcyoLODuZ7ex8u6XuPKeV/jeCzt4+/0uYpZ+UytdMvZbVyp3hWIWXo/g9x6ZCC5cUMNDt57Fpx9+k+vve4MHPrGMebXFGYhSKaXG72gdncP5vR6uWDSFKxZNoalzkGc2tvDbjQf49nPb+fZz2ykK+FjeWM7pDeUsnV7G4mmllBXkpeMhnHS00FEpF47Gj+jmJDtndiWPfmYFn354Ldfe+xp3X7eEKxdPSWOESik1Mcfr6IxmekUBn1k5i8+snEVHf5g33uvg9V0drH6vg99vP0jivOXakgDz60qYV1PEzOpCZlYV0lhZSG1JEK9HJuPhnBS00FEpF4pZh5yfM5ql08v4zRfO43M/Wcfnf/oW65tm8qXL5hM4zlGSUkplUqKjM9FcVVkU4KrF9Vy1uB6A3lCUjft62LC/h20tfWxr7ePH73UMF1QAPo9QX5ZPfVmQKaX51JYEqS0JUF0coLooQGVRgMrCPErz/Xi0IDpCygodEZkOPALUAga43xjzb6navnKP43V0EmpLgvz8tnP45q8384NXdvPi1jb+358sZnljRRqiVEqp8QvH4vi9krIOS0nQz7lzqjh3TtXwvHjccKA3xO6DA+ztHGB/1xD7uoZo7h7izT2dtPaGiFpHfpvLI1BWkEdZgZ+yfD+lzqUk309x0Edx0E9RwEdx0EdBno/CgJeigD1dkOelIM9Lfp6XPK8HkdwpmFLZ0YkBf2mMeUtEioF1IvKcMWZzCu9DuUAoFj9uRychz+fhm9cu5OJTavjb/97I9fe9wY1nTeeLl8yjtiQ4yZEqpdT4hKLWcc/POVEejzC1LJ+pZfmcR9URy+NxQ/dQlIN9YQ72hekYCNPRH6FzIELXYITuoSjdgxHa+yO81z5Az1CUvlBszF9193qEoM9Dfp6XoL5kyCAAABffSURBVD9x8RD02dMBn4eA30PAZxdFeT77EnD++r32tN+buMjwfL/Xg88r+D3OX6/gc6aDfi+zq4tS/XSmrtAxxhwADjjTfSKyBZgKaKFzkglHrTF1dJJ9cH4Nz92xku/8bjsPvb6HX761n5vOnsFnPziLmmIteJRNO8cq08Kx+LjOz5kMHo9QUZhHRWEe8+vG9mUOYwyhaJy+UJS+cIyBcIz+cIzBsMVAJMZgxGIoYjEUtRiMxAhF4wxFLUIRi1DMIhSNE4ray7uHIoSicSKxOOGYRThmT0dicWInMG5QbUmA1X9zyYRvfzSTco6OiDQCpwOrD5t/G3AbQENDw2TctcoCoVicwBg7OskK8nx89apTueWcRr734g4efmMPP1m9lysXTeGmsxs4c0Z5TrVT1YRo51hlVChqufJcQhEh3/loqmYS7yceN0SsOFHLLnyiliFqxQnH4sTicWKWvTzmzI9acay4IWoZ/N7Jye8pL3REpAj4L+CLxpje5GXGmPuB+wGWLVumw0XmqIl0dJI1VBZw9/VL+IsL5/DQa7v55Vv7+e+39zOnpogrna9rzqst0qLnJKSdY5Vp2dDRyWYejxD0eMd8+kI6pLTQERE/dpHzqDHml6nctnKPUCxOab7/hLczs6qQr1+zkC9fvoCn3mnmv9/ezz0v7uDfXtjBzKpCzptTxXlzq1gxqzIl96fc5WidY2eZdo/VpAin4RwdlVqp/NaVAD8EthhjvpOq7Sr3CUctgsWBlG2vMODjxrMauPGsBtr6Qjy7sYUXt7bxxLp9/HjVXkRgbk0RZ84oZ8m0Mk6rL2VubVFWHVGo1DpW5xi0e6wmj3Z03CeVHZ0PADcDG0RkvTPvb4wxT6fwPpQLhCd4js5Y1BQHufmcRm4+p5FILM5b73exZncnb73fxW/ePcDP1jQB9rcGZlYVMqe6iNk1hcyqKmJGZQENlQVUFwX0Yy8X086xyqR0fOtKpVYqv3X1KqDvHspJBJN/xJPn87BiViUrZlUC9klwTV2DbGruZVNzD9tb+9ne2sdzWw79BeGAz2N/dbM8n7qSIHWlQWpKgtQUB6gqClBTHKCiMI+CPK8WRFlGO8cq08KxOEWFOtaum+irpVIuU61dj0eYUVnIjMpCrlg08pMSkVicfV2D7O0cZG/7APu7h2juDrGve4gdre209YUY7RuRAZ+HysK8kQG4CkYG3yoJ+ilxBuBKHoirKGAPwlUY8BHw5dagW1lCO8cqo9z6rauTmRY6KuWyrbWb5/Mwq7qIWdVFMP/I5Vbc0N5vD7x10PnbOWAPvtXRH6FnKEL3YJRtLX30DMXoHYoSGcMvD3vE/sp8fmLEUb93eDro8xJM/PV7hgfhGh6My+ch4Ezn+TyHDMqVmE4MvhXwJQbeGhmcy+/14PNIzhVa2jlWmRaOxQnqOTquooWOSjm3nazn9Yjz2zFjG5gweeCt3lCMvlCUgbBFf2IAroj9dyA8MgjXoDMQV2JAru7BKENRi7AzCFcoahGKxcc8culYJY86mih+EiOTej2CzzOyPDHt9cghyz0i3H7RHBZPK0tpbEq5kXZ03EcLHZVSicGfsqmjk2qHDLxVktptx6w4ESs++qij1sjoo/ZAXCPzYnEzPEBXLG6IxuJE44aYZV+PJA3WFbUMVtyeH7OM/ddZZsXtSyhmEY/by6y4XdgppbSj40Za6KiUSvzirps6OtnE5/Xg83ooyMt0JEqp0YSi1qR9q1RNDn03UikViloAOoaNUirnGGPsjk4avlWqUkdfLZVSwx0dTQRKqRwTseIYg3Z0XEbfjVRKaUdHKZWr9EDOnfTVUikVjmoiUErlpsSBnHZ03EXfjVRKhWKaCJRSuSlxIKfn6LiLvloqpbSjo5TKVWE9kHMlfTdSKZXo6Og5OkqpXBPSjo4r6aulUko7OkqpXKUdHXfSdyOVUmHt6CilcpR2dNxJXy2VUtrRUUrlKu3ouJO+G6mU0nN0lFK5arijoz9x4yr6aqmU0o6OUipXDXd0cvhHi3ORvhuplNKRkZVSuUo7Ou6kr5ZKqVDMwiPg80imQ1FKqZQKR7Wj40Za6KiUCkfjBP1eRLTQUUrlllBMOzpulNJXS0QuF5FtIrJTRO5M5baVO4Rilp6fo5TKSSPnIGpHx01S9o4kIl7gXuBDwKnAjSJyaqq2r9wh0dFRSqlcE4pZ+L2CVz+ad5VUHnqfBew0xrxnjIkAPweuSeH2lQuEYnHt6KhJpZ1jlSnhaFy7OS6UynekqUBT0vV9zrxhInKbiKwVkbUHDx5M4V2rbBGOWtrRUZNGO8cqk0IxS8/PcaG0vmLGmPuNMcuMMcuqq6vTedcqTbSjoyaZdo5VxmhHx51S+Y60H5iedH2aM0+dRMJRS4dHV5PpuJ1j0O6xmhyhmEVAOzquk8pX7E1grojMFJE84AbgqRRuX7mAdnRUNtDusZoM2tFxJ1+qNmSMiYnI7cCzgBf4kTFmU6q2r9whHLUIFgcyHYbKXdo5VhkT1nN0XCllhQ6AMeZp4OlUblO5SzimXy9Xk2q4c4xd4NwAfCyzIamThd3R0ULHbVJa6CgVjuqAgWryaOdYZVIoZlFRmJfpMNQ4aaGjUioUi2trV00q7RyrTAlH4wT1HB3X0XcklVJ2R0cTgVIq9+i3rtxJXzGVUtrRUUrlKu3ouJO+I6mUiVlxrLjRjo5SKidpR8ed9BVTKROK2b/sqx0dpVQu0h8tdid9R1IpE45aANrRUUrlHGOM3dHRb5W6jr5iKmW0o6OUylVRy2AM2tFxIX1HUikT0o6OUipHhWKJ/KZvm26jr5hKmXBUOzpKqdw0fCCnHR3X0XcklTIjRzyaCJRSuSVxIKcdHffRV0ylzHAi0I6OUirHhJ0DOT1Hx330JyBUymhHR7nZpuYe+kIxvB7BI+ARGbl47Ov2MjlkncQ8jwe8ieseGZ72OtMej2T6IaoTENKOjmtpoaNSRs/RUW72zV9vZtV7nZO2fREOLX48gu+Qac8h83xeDz6P4POOzPN7PcPr+r32dZ9X8Hs8+H32/DzfyDK/10OeNzHP/pvns+cFfM7F7yHg8zrXvQT8HoJ+L0G/vZ6IFmigHR0300JHpUxYOzrKxf7vVafSMxglbsAyhrgxGGOw4hA3hnjcYBmDFbe/Zmw51xPrWIl14vZtrbghFj/0donbWNbIvMQ6sbixRxc39ijjUcveTmJ+LG4YCMeIxQ1Ra2Re1IoTteLErMS0IeKMUn6iPGK/sef7vQT9XgryEhcfhYGRv0UBH4UBH0UBHyVBP0VBH6X5fkqCfkrz/ZQW+CkJ+lxdNOk5Ou6lhY5KGe3oKDc7rb400yGkVDxuiMbjRGJ28RO17OlwLE44ZiVNJ+ZbhKJxQlGLUNQiHLOnhyIWg1GLUMRi0JkeisRo7o4yEIkxELYYCMcYcr6VdDRej1CW76e8MI+KwjyqivKoLgpQXWxfakuCTCnNp640SGm+P03P0tiFtKPjWlroqJTRc3SUyh4ejxDweNP2/xiz4gyELXpDUfpCMfpCUXqGRi5dgxG6BqN0DUToGIiwraWP1/o76BmKHrGt4qCP6eUFTK/IZ2ZVETOrCphdXcS8umJKgpkpgrSj415a6KiU0Y6OUicvn9dDaYGH0oLxFSLhmEVbb5jW3hAtvSGau4fY3zVEU9cQO9v6eXFrG1Fr5GO4qWX5nFpfwtLpZSyZVsaS6aUUp6H40Y6Oe2mho1JGR0ZWSo1XwOdlekUB0ysKRl0es+I0d4fY0dbH1pY+trX0sbG5h+c2twL2R2JLppVy3pwqLphfzenTyyflG27a0XEvLXRUyoRjcTwCfq97TzhUSmUXn9dDQ2UBDZUFXHxK7fD8nsEo7+zrZs3uTl7d2c6/v7STe17cSV1JkMsX1nHN0nqWTi9L2QnQiQM57ei4T0oKHRG5G/gwEAF2AbcaY7pTsW3lHqGoRcDndfU3K5RS7lBa4GflvGpWzqvmS5fNp2coyu+3tfGbdw/w0zXv89Dre1g8rZRbzmnkqsVTTrhACce0o+NWqXrFngMWGmMWA9uBv07RdpWLhGNxPT9HKZURpfl+rlk6lftvWca6r17CN685jcGIxZcef4cL/+X3PL626YS+cq8DBrpXSjo6xpjfJV1dBVyXiu0CvHewn5e3HzxsgC17QKzEwFk+j+B1Bs1KDK41PJCWM+hWYrAsn0fwOwNmJQbfUqmR6OgoNRm0c6zGqjjo5+ZzGvn4ihm8urOdf/nddv7qiXf54au7uevq01gxq3Lc2wzHLGcARy103GYyztH5FPDYaAtE5DbgNoCGhoYxbWzD/h6+/qvNKQvucPY5JSOjhSaPIBrwjfwdHjnU7x0eUTQxemhiMK3EwFoFeV6CeV4K/PaAWgUBL4VJf3O1uNKOjppkzwF/bYyJici3sDvHX8lwTCqLiQjnz63mvDlV/GbDAb71zFZu/MEqPnvBbO64dB7+cRQtoWhcz89xqTEXOiLyPFA3yqK/NcY86azzt0AMeHS0bRhj7gfuB1i2bNmYeogfWjiFD36thljcHukzGrdHFY3F486IocaZb48MGrPiRJ2RRKOJ9ZyRQpNHD41YcaIxQ8SyiFnGHjTLihN1/tqDbDkDakXjdA9FCTuDaIWTB9OKWoy3G5rv91IU9FEc8FEc9FEc9FOS7xseRbQk309ZgZ/ygjz7UuinojCPioK8rD6a0I6OmkyT2TlWuU1EuGpxPRctqOGbv97Mf/x+F6/vbOeeG09nRmXhmLYRjln6sZVLjbnQMcZccqzlIvJJ4CrgYmPMiY897kj8Nku2MsYejn0oahF2Cp9BZwTRUHRkxNDE6KH94djw375wbHhgrZbeEL3OwFqJk94OJwLlBfaIorUlQWqKg9SWBJhSls/UsiBTy+wBtgryMvNlOu3oqDQ6aucYJtY9VrmvIM/HP31kMSvnVnPnLzfwJ//xOg9/6qwxjYqtHR33StW3ri4HvgxcYIwZTMU23UJEyPOJXYylaNjyUNSiZyhK50DEHk10IErHQJj2/gjt/WEO9oVp6wuzq62d1r7wESfYVRXl0VBRwKzqImZVFzK3ppgFdcVMK8+f1G9EaUdHnahUdI5hYt1jdfL40KIpzKsr5uYHVnPD/at48JPLWdZYcczbaEfHvVJ16P/vQAB4znkjXWWM+WyKtn3SSZzvU1sSPO66VtxwsC9Mc88Q+7qGaOocpKlzkD0dA7y8/SBPrNs3vG5xwDcyouj0MpbNKKdmDPcxVqFYnJKgDs2kJi5TnWN18pldXcTjnzuXmx9Yzcd/uJoHblnOeXOrjrp+KBonoB0dV0rVt67mpGI7avy8HqGuNEhdaZAzGsqPWN4birKjtZ+tLb1sOdDLhv29PPjaHiKW/fHY7OpCzp1dxcp51Zw/t+qEWrPhqEWgKDDh2yt1LCdz51hNjqll+fzis+dw0w9W89mfrOOJz53DgrqSUdfVjo576eF3jisJ+jlzRjlnzhgpgsIxiy0H+lizu4PXd3Xwy7f28eNVe8n3ezl/bhUfXlLPpafWjrvo0XN01CTTzrFKuaqiAA99ajnX3vsan3rwTf7n8x8YtdMdjmp+cystdE5CAZ+XpdPLWDq9jNtWziYSi7Nmdye/29zC7za18rvNrZTm+/nj06fy8RUzmFNTNKbthvUcHTWJtHOsJsuU0nx++Inl/Ol/vsGfPbyWx/58xRFf6gjHLMoK8jIUoToRWp4q8nwezptbxTeuWcjrd17Ej//sLFbOq+ana97n0n99mc/9ZB0b9vUcdzsh7egopVxq4dRS7rnhdDY19/CV/9rA4aeAhbSj41ra0VGH8HjsAbbOn1tNR3+YB1/bw8Nv7OG3G1u4YlEdX73yVOrL8ke9bThq6dcvlVKudcmptfzlH83n7me3cfbMCj6+YsbwsnBM85tbaXmqjqqyKMCXLpvPa3dexBcvmcuLW9u4+Nsvc+9LO4mMMtZPKBbXk/WUUq72uQtmc8G8ar7x681s3D/SyQ5FNb+5lb5q6rhKgn6+eMk8nvs/F3D+3CrufnYb19/3Ou93jHzxJWbZI1frEY9Sys08HuFfP7qUioI8Pv/Tt+gNRQHt6LiZFjpqzKZXFHD/Lcu47+NnsLt9gCvveYWnNxwA7G4O6C/7KqXcr6Iwj3//2Ons6xriK0+8izFGOzoupq+aGrfLF07hN184n1k1RfzFo29x97NbCUUtAD3iUUrlhGWNFXzl8vn8dmMLD762h5B2dFxLT0ZWEzK9ooDH//wc/u6pjdz70i62HugDtKOjlModnzl/Fmt2d/GPT2/BGM1vbqWvmpqwPJ+Hf/zjRXzh4rm8sLUN0I6OUip3iAjfvn4JdaX2AIKa39xJCx11QkSEOy6dxzevXTj8cxRKKZUrSgv8fP+mM8j3e486tIbKbvrRlUqJm1fM4Pozp+kRj1Iq5yyeVsbbX7tU85tLaUdHpYwmAaVUrtL85l5a6CillFIqZ2mho5RSSqmcJYf/cFna7ljkILB3jKtXAe2TGM5k0JjTQ2NOj/HEPMMYUz2ZwYyH5pqs5LaY3RYv5H7MY84zGSt0xkNE1hpjlmU6jvHQmNNDY04PN8Y8EW58nBrz5HNbvKAxJ9OPrpRSSimVs7TQUUoppVTOckuhc3+mA5gAjTk9NOb0cGPME+HGx6kxTz63xQsa8zBXnKOjlFJKKTURbunoKKWUUkqNmxY6SimllMpZWVHoiEhQRNaIyDsisklEvu7Mnykiq0Vkp4g8JiJ5zvyAc32ns7wxi2K+3YnLiEhV0voiIvc4y94VkTOyJN5HRWSbiGwUkR+JiD8b4j1OzD905r0rIk+ISJEzP2v3i6Tl94hIf9L1rI1ZRB4Skd0ist65LHXmZ3zfmAjNMxmPWXNNGmJOWp5VuSajecYYk/ELIECRM+0HVgMrgF8ANzjz7wM+50z/BXCfM30D8FgWxXw60AjsAaqS1r8C+K1zuxXA6iyJ9wpnmQA/S3qOMxrvcWIuSVrnO8Cd2b5fONeXAT8G+pPWz9qYgYeA60ZZP+P7Roofp+aZ9MSsuSYNMTvXsy7XZDLPZEVHx9gSlaffuRjgIuAJZ/7DwLXO9DXOdZzlF4uIpClc4OgxG2PeNsbsGeUm1wCPOLdbBZSJyJQ0hXuseJ92lhlgDTAtG+I9Tsy9YFf8QD72vpKIOSv3CxHxAncDXz7sJlkb8zFukvF9YyI0z6SH5pr0cFuuyWSeyYpCB0BEvCKyHmgDngN2Ad3GmJizyj5gqjM9FWgCcJb3AJXpjfjImI0xq4+x+nDMjuTHkxbHitdpI98MPOPMyni8TlyjxiwiDwItwALge87q2bxf3A48ZYw5cNjq2RwzwD84beN/FZHA4TE7MrJvTITmmfTQXJPRmLM212Qqz2RNoWOMsYwxS7Gr/LOwd6qsdnjMIrIw0zEdy3Hi/T7wB2PMK5mJbnRHi9kYcytQD2wBPprBEI8wSswrgesZSZJZ5yjP819j/x8uByqAr2QwxJTQPJMemmvSw225JlN5JmsKnQRjTDfwEnAOdqvK5yyaBux3pvcD0wGc5aVAR5pDHZYU8+XHWG04Zkfy40mrw+MVkb8DqoE7klbLmnhh9OfYGGMBPwf+xJmVrfvFhcAcYKeI7AEKRGSns1q2xny5MeaA0zYOAw9iFwaQZfvGRGieSQ/NNenhtlyT7jyTFYWOiFSLSJkznQ9cil09vwRc56z2CeBJZ/op5zrO8hedz33T5igxbz3GTZ4CbnHOJF8B9IzSWpw0R4tXRD4NXAbcaIyJZ0u8x4h5m4jMceYJcDUjz3u27hfrjDF1xphGY0wjMGiMmZPlMW9NfB7uPM/XAhuTYs7ovjERmmfSQ3NNRmPO2lyT0Txj0nym+GgXYDHwNvCu8yC/5syfhX3S2k7gcSDgzA8613c6y2dlUcxfwP4sMQY0Aw+YkTPO78U+J2ADsCxL4o05Ma13Ll/LhniPFjN2cf6aE9NG4FGcb0Zk835x2DrJ34TI2piBF5Oe558w8o2JjO8bKX6cmmfSE7PmmjQ8z4etkzW5JpN5Rn8CQimllFI5Kys+ulJKKaWUmgxa6CillFIqZ2mho5RSSqmcpYWOUkoppXKWFjpKKaWUylla6CillFIqZ2mho5RSSqmc9f8BKU24ZjfL7HMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_spectra = 4\n", + "spectra_length = 77\n", + "w_vec = np.linspace(300, 350, spectra_length)\n", + "amps = np.random.rand(num_spectra)\n", + "freqs = np.random.rand(num_spectra)*35 + 310\n", + "q_facs = np.random.rand(num_spectra)*25 + 50\n", + "phis = np.random.rand(num_spectra)*2*np.pi\n", + "spectra = np.zeros((num_spectra, spectra_length), dtype=np.complex)\n", + "\n", + "\n", + "def sho_resp(parms, w_vec):\n", + " \"\"\"\n", + " Generates the SHO response over the given frequency band\n", + " Parameters\n", + " -----------\n", + " parms : list or tuple\n", + " SHO parae=(A,w0,Q,phi)\n", + " w_vec : 1D numpy array\n", + " Vector of frequency values\n", + " \"\"\"\n", + " return parms[0] * np.exp(1j * parms[3]) * parms[1] ** 2 / \\\n", + " (w_vec ** 2 - 1j * w_vec * parms[1] / parms[2] - parms[1] ** 2)\n", + "\n", + "\n", + "for index, amp, freq, qfac, phase in zip(range(num_spectra), amps, freqs, q_facs, phis):\n", + " spectra[index] = sho_resp((amp, freq, qfac, phase), w_vec)\n", + "\n", + "fig, axis = sidpy.viz.plot_utils.plot_complex_spectra(spectra, w_vec, title='Oscillator responses')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "rainbow_plot() \n", + "---------------\n", + "This function is ideally suited for visualizing a signal that varies as a function of time or when \n", + "the directionality of the signal is important" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "num_pts = 1024\n", + "t_vec = np.linspace(0, 10*np.pi, num_pts)\n", + "\n", + "fig, axis = plt.subplots(figsize=(4, 4))\n", + "sidpy.viz.plot_utils.rainbow_plot(axis, np.cos(t_vec)*np.linspace(0, 1, num_pts),\n", + " np.sin(t_vec)*np.linspace(0, 1, num_pts),\n", + " num_steps=32)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "plot_scree() \n", + "------------\n", + "One of the results of applying Singular Value Decomposition is the variance or statistical significance\n", + "of the resultant components. This data is best visualized via a log-log plot and plot_scree is available\n", + "exclusively to visualize this kind of data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scree = np.exp(-1 * np.arange(100))\n", + "sidpy.viz.plot_utils.plot_scree(scree, color='r');" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:anaconda]", + "language": "python", + "name": "conda-env-anaconda-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/02_visualization/plot_2d.ipynb b/notebooks/02_visualization/plot_2d.ipynb new file mode 100644 index 00000000..a6668b64 --- /dev/null +++ b/notebooks/02_visualization/plot_2d.ipynb @@ -0,0 +1,221 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2D plotting utilities\n", + "===============\n", + "\n", + "\n", + "**Suhas Somnath**\n", + "\n", + "8/12/2017 \n", + "\n", + "**This is a short walk-through of useful plotting utilities available in sidpy**\n", + "\n", + "\n", + "Introduction\n", + "--------------\n", + "Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were\n", + "developed for scientific applications, These functions have been developed\n", + "to substantially simplify the generation of high quality figures for journal publications.\n", + "\n", + "### Table of contents:\n", + "* [plot_map](#plot_map)\n", + "* [plot_map_stack](#plot_map_stack)\n", + "* [plot_complex_spectra](#plot_complex_spectra)\n", + "\n", + "\n", + "#### Import necessary packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from __future__ import division, print_function, absolute_import, unicode_literals\n", + "import numpy as np\n", + "from warnings import warn\n", + "import matplotlib.pyplot as plt\n", + "import subprocess\n", + "import sys\n", + "\n", + "\n", + "def install(package):\n", + " subprocess.call([sys.executable, \"-m\", \"pip\", \"install\", package])\n", + "# Package for downloading online files:\n", + "try:\n", + " import sidpy\n", + "except ImportError:\n", + " warn('sidpy not found. Will install with pip.')\n", + " import pip\n", + " install('sidpy')\n", + " import sidpy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot_map()\n", + "\n", + "This function adds several popularly used features to the basic image plotting function in matplotlib including:\n", + "\n", + "* easy addition of a colorbar\n", + "* custom x and y tick values\n", + "* clipping the colorbar to N standard deviations of the mean\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 6*np.pi, 256)\n", + "y_vec = np.sin(x_vec)**2\n", + "\n", + "atom_intensities = y_vec * np.atleast_2d(y_vec).T\n", + "\n", + "fig, axes = plt.subplots(ncols=2, figsize=(10, 5))\n", + "\n", + "# Standard imshow plot for reference\n", + "axes[0].imshow(atom_intensities, origin='lower')\n", + "axes[0].set_title('Standard imshow')\n", + "\n", + "\n", + "# Now plot_map with some options enabled:\n", + "sidpy.viz.plot_utils.plot_map(axes[1], atom_intensities, stdevs=1.5, num_ticks=4,\n", + " x_vec=np.linspace(-1, 1, atom_intensities.shape[0]),\n", + " y_vec=np.linspace(0, 500, atom_intensities.shape[1]),\n", + " cbar_label='intensity (a. u.)', tick_font_size=16)\n", + "axes[1].set_title('plot_map')\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot_map_stack()\n", + "\n", + "One of the most popular operations in scientific research is the visualization of a stack of images. \n", + "This function is built specifically for that purpose. \n", + "Here we simply simulate some images using sinusoidal functions for demonstration purposes." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def get_sine_2d_image(freq):\n", + " x_vec = np.linspace(0, freq*np.pi, 256)\n", + " y_vec = np.sin(x_vec)**2\n", + " return y_vec * np.atleast_2d(y_vec).T\n", + "\n", + "\n", + "frequencies = [0.25, 0.5, 1, 2, 4 ,8, 16, 32, 64]\n", + "image_stack = [get_sine_2d_image(freq) for freq in frequencies]\n", + "image_stack = np.array(image_stack)\n", + "\n", + "fig, axes = sidpy.viz.plot_utils.plot_map_stack(image_stack, reverse_dims=False, title_yoffset=0.95)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot_complex_spectra()\n", + "\n", + "This function plots the amplitude and phase components of a stack of complex valued 2D images. \n", + "Here we simulate the data using sine and cosine components" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def get_complex_2d_image(freq):\n", + " # Simple function to generate images\n", + " x_vec = np.linspace(0, freq*np.pi, 256)\n", + " y_vec_1 = np.sin(x_vec)**2\n", + " y_vec_2 = np.cos(x_vec)**2\n", + " return y_vec_2 * np.atleast_2d(y_vec_2).T + 1j*(y_vec_1 * np.atleast_2d(y_vec_1).T)\n", + "\n", + "\n", + "# The range of frequences over which the images are generated\n", + "frequencies = 2 ** np.arange(4)\n", + "image_stack = [get_complex_2d_image(freq) for freq in frequencies]\n", + "\n", + "fig, axes = sidpy.viz.plot_utils.plot_complex_spectra(np.array(image_stack), figsize=(3.5, 3))" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/02_visualization/plot_cmap.ipynb b/notebooks/02_visualization/plot_cmap.ipynb new file mode 100644 index 00000000..94c3fbd4 --- /dev/null +++ b/notebooks/02_visualization/plot_cmap.ipynb @@ -0,0 +1,288 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Utilities for color maps\n", + "===============\n", + "\n", + "\n", + "**Suhas Somnath**\n", + "\n", + "8/12/2017 \n", + "\n", + "**This is a short walk-through of useful plotting utilities available in sidpy**\n", + "\n", + "Introduction\n", + "--------------\n", + "Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were\n", + "developed for scientific applications, These functions have been developed\n", + "to substantially simplify the generation of high quality figures for journal publications.\n", + "\n", + "#### Import necessary packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure python 3 compatibility:\n", + "from __future__ import division, print_function, absolute_import, \\\n", + " unicode_literals\n", + "import numpy as np\n", + "from warnings import warn\n", + "import matplotlib.pyplot as plt\n", + "import subprocess\n", + "import sys\n", + "\n", + "\n", + "def install(package):\n", + " subprocess.call([sys.executable, \"-m\", \"pip\", \"install\", package])\n", + "\n", + "\n", + "# Package for downloading online files:\n", + "try:\n", + " import sidpy\n", + "except ImportError:\n", + " warn('sidpy not found. Will install with pip.')\n", + " import pip\n", + "\n", + " install('sidpy')\n", + " import sidpy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# plot_utils has a handful of colormaps suited for different applications.\n", + "\n", + "# cmap_jet_white_center()\n", + "\n", + "This is the standard jet colormap with a white center instead of green. This is a good colormap for images with\n", + "divergent data (data that diverges slightly both positively and negatively from the mean).\n", + "One example target is the ronchigrams from scanning transmission electron microscopy (STEM)\n", + "\n", + "## cmap_hot_desaturated()\n", + "\n", + "This is a desaturated version of the standard jet colormap\n", + "\n", + "## discrete_cmap()\n", + "\n", + "This function helps create a discretized version of the provided colormap. This is ideally suited when the data\n", + "only contains a few discrete values. One popular application is the visualization of labels from a clustering\n", + "algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "y_vec = np.sin(x_vec)\n", + "\n", + "test = y_vec * np.atleast_2d(y_vec).T\n", + "\n", + "fig, axes = plt.subplots(ncols=2, nrows=2, figsize=(10, 10))\n", + "for axis, title, cmap in zip(axes.flat,\n", + " ['Jet',\n", + " 'Jet with white center',\n", + " 'Jet desaturated',\n", + " 'Jet discretized'],\n", + " [plt.cm.jet,\n", + " sidpy.viz.plot_utils.cmap_jet_white_center(),\n", + " sidpy.viz.plot_utils.cmap_hot_desaturated(),\n", + " sidpy.viz.plot_utils.discrete_cmap(8, cmap='jet')]):\n", + " im_handle = axis.imshow(test, cmap=cmap)\n", + " cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical',\n", + " fraction=0.046, pad=0.04, use_gridspec=True)\n", + " axis.set_title(title)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# make_linear_alpha_cmap()\n", + "\n", + "On certain occasions we may want to superimpose one image with another. However, this is not possible\n", + "by default since colormaps involve solid colors. This function allows one to plot multiple images using\n", + "a transparent-to-solid colormap. Here we will demonstrate this by plotting blobs representing atomic columns\n", + "over some background intensity." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "num_pts = 256\n", + "\n", + "fig, axis = plt.subplots()\n", + "\n", + "# Prepare some background signal\n", + "x_mat, y_mat = np.meshgrid(np.linspace(-0.2*np.pi, 0.1*np.pi, num_pts), np.linspace(0, 0.25*np.pi, num_pts))\n", + "background_distortion = 0.2 * (x_mat + y_mat + np.sin(0.25 * np.pi * x_mat))\n", + "\n", + "# plot this signal in grey\n", + "axis.imshow(background_distortion, cmap='Greys')\n", + "\n", + "# prepare the signal of interest (think of this as intensities in a HREM dataset)\n", + "x_vec = np.linspace(0, 6*np.pi, num_pts)\n", + "y_vec = np.sin(x_vec)**2\n", + "atom_intensities = y_vec * np.atleast_2d(y_vec).T\n", + "\n", + "# prepare the transparent-to-solid colormap\n", + "solid_color = plt.cm.jet(0.8)\n", + "translucent_colormap = sidpy.viz.plot_utils.make_linear_alpha_cmap('my_map', solid_color,\n", + " 1, min_alpha=0, max_alpha=1)\n", + "\n", + "# plot the atom intensities using the custom colormap\n", + "im_handle = axis.imshow(atom_intensities, cmap=translucent_colormap)\n", + "cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical',\n", + " fraction=0.046, pad=0.04, use_gridspec=True)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# get_cmap_object()\n", + "\n", + "This function is useful more for developers writing their own plotting functions that need to manipulate the\n", + "colormap object. This function makes it easy to ensure that you are working on the colormap object and not the\n", + "string name of the colormap (both of which are accepted by most matplotlib functions).\n", + "Here we simply compare the returned values when passing both the colormap object and the string name of the colormap \n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sidpy.viz.plot_utils.get_cmap_object('jet') == sidpy.viz.plot_utils.get_cmap_object(plt.cm.jet)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# cmap_from_rgba()\n", + "This function is handy for converting a Matlab-style colormap instructions (lists of [reg, green, blue, alpha]) to\n", + "matplotlib's style:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "hot_desaturated = [(255.0, (255, 76, 76, 255)),\n", + " (218.5, (107, 0, 0, 255)),\n", + " (182.1, (255, 96, 0, 255)),\n", + " (145.6, (255, 255, 0, 255)),\n", + " (109.4, (0, 127, 0, 255)),\n", + " (72.675, (0, 255, 255, 255)),\n", + " (36.5, (0, 0, 91, 255)),\n", + " (0, (71, 71, 219, 255))]\n", + "\n", + "new_cmap = sidpy.viz.plot_utils.cmap_from_rgba('hot_desaturated', hot_desaturated, 255)\n", + "\n", + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "y_vec = np.sin(x_vec)\n", + "\n", + "test = y_vec * np.atleast_2d(y_vec).T\n", + "\n", + "fig, axes = plt.subplots(ncols=2, figsize=(10, 5))\n", + "for axis, title, cmap in zip(axes.flat,\n", + " ['Jet', 'Jet desaturated'],\n", + " [plt.cm.jet, new_cmap]):\n", + " im_handle = axis.imshow(test, cmap=cmap)\n", + " cbar = plt.colorbar(im_handle, ax=axis, orientation='vertical',\n", + " fraction=0.046, pad=0.04, use_gridspec=True)\n", + " axis.set_title(title)\n", + "fig.tight_layout()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/02_visualization/plot_misc.ipynb b/notebooks/02_visualization/plot_misc.ipynb new file mode 100644 index 00000000..780f22e8 --- /dev/null +++ b/notebooks/02_visualization/plot_misc.ipynb @@ -0,0 +1,351 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Misc Plotting utilities\n", + "===============\n", + "\n", + "\n", + "**Suhas Somnath**\n", + "\n", + "8/12/2017 \n", + "\n", + "**This is a short walk-through of useful plotting utilities available in sidpy**\n", + "\n", + "Introduction\n", + "--------------\n", + "Some of the functions in ``sidpy.viz.plot_utils`` fill gaps in the default matplotlib package, some were\n", + "developed for scientific applications, These functions have been developed\n", + "to substantially simplify the generation of high quality figures for journal publications.\n", + "\n", + "#### Import necessary packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# Ensure python 3 compatibility:\n", + "from __future__ import division, print_function, absolute_import, \\\n", + " unicode_literals\n", + "import numpy as np\n", + "from warnings import warn\n", + "import matplotlib.pyplot as plt\n", + "import subprocess\n", + "import sys\n", + "import sidpy\n", + "\n", + "def install(package):\n", + " subprocess.call([sys.executable, \"-m\", \"pip\", \"install\", package])\n", + "\n", + "\n", + "# Package for downloading online files:\n", + "try:\n", + " import sidpy\n", + "except ImportError:\n", + " warn('sidpy not found. Will install with pip.')\n", + " import pip\n", + "\n", + " install('sidpy')\n", + " import sidpy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# General Utilities\n", + "# ==================\n", + "## set_tick_font_size()\n", + "# ---------------------\n", + "Adjusting the font sizes of the tick marks is often necessary for preparing figures for journal papers.\n", + "However, adjusting the tick sizes is actually tedious in python and this function makes this easier." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Subfigures\tFewer Rows\tFewer Columns\n", + "1\t\t(1, 1)\t\t(1, 1)\n", + "2\t\t(1, 2)\t\t(2, 1)\n", + "3\t\t(1, 3)\t\t(3, 1)\n", + "4\t\t(2, 2)\t\t(2, 2)\n", + "5\t\t(2, 3)\t\t(3, 2)\n", + "6\t\t(2, 3)\t\t(3, 2)\n", + "7\t\t(2, 4)\t\t(4, 2)\n", + "8\t\t(2, 4)\t\t(4, 2)\n", + "9\t\t(3, 3)\t\t(3, 3)\n", + "10\t\t(3, 4)\t\t(4, 3)\n", + "11\t\t(3, 4)\t\t(4, 3)\n", + "12\t\t(3, 4)\t\t(4, 3)\n", + "13\t\t(3, 5)\t\t(5, 3)\n", + "14\t\t(3, 5)\t\t(5, 3)\n", + "15\t\t(3, 5)\t\t(5, 3)\n", + "16\t\t(4, 4)\t\t(4, 4)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test = np.random.rand(10, 10)\n", + "\n", + "fig, axes = plt.subplots(ncols=2, figsize=(8, 4))\n", + "for axis, title in zip(axes, ['Default', 'Custom']):\n", + " axis.imshow(test)\n", + " axis.set_title(title + ' tick size')\n", + "# only changing the tick font size on the second plot:\n", + "sidpy.viz.plot_utils.set_tick_font_size(axes[1], 24)\n", + "fig.tight_layout()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## get_plot_grid_size()\n", + "# ---------------------\n", + "\n", + "This handy function figures out the layout for a 2D grid of sub-plots given a desired number of plots" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Subfigures\tFewer Rows\tFewer Columns\n", + "1\t\t(1, 1)\t\t(1, 1)\n", + "2\t\t(1, 2)\t\t(2, 1)\n", + "3\t\t(1, 3)\t\t(3, 1)\n", + "4\t\t(2, 2)\t\t(2, 2)\n", + "5\t\t(2, 3)\t\t(3, 2)\n", + "6\t\t(2, 3)\t\t(3, 2)\n", + "7\t\t(2, 4)\t\t(4, 2)\n", + "8\t\t(2, 4)\t\t(4, 2)\n", + "9\t\t(3, 3)\t\t(3, 3)\n", + "10\t\t(3, 4)\t\t(4, 3)\n", + "11\t\t(3, 4)\t\t(4, 3)\n", + "12\t\t(3, 4)\t\t(4, 3)\n", + "13\t\t(3, 5)\t\t(5, 3)\n", + "14\t\t(3, 5)\t\t(5, 3)\n", + "15\t\t(3, 5)\t\t(5, 3)\n", + "16\t\t(4, 4)\t\t(4, 4)\n" + ] + } + ], + "source": [ + "print('Subfigures\\tFewer Rows\\tFewer Columns')\n", + "for num_plots in range(1, 17):\n", + " print('{}\\t\\t{}\\t\\t{}'.format(num_plots,\n", + " sidpy.viz.plot_utils.get_plot_grid_size(num_plots, fewer_rows=True),\n", + " sidpy.viz.plot_utils.get_plot_grid_size(num_plots, fewer_rows=False)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## make_scalar_mappable()\n", + "# ---------------------\n", + "\n", + "This is a low-level function that is used by ``cbar_for_line_plot()`` to generate the color bar manually.\n", + "Here we revisit the example for plot_line_family() but we generate the colorbar by hand using\n", + "``make_scalar_mappable()``. In this case, we make the colorbar horizontal just as an example." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "freqs = range(1, 5)\n", + "y_mat = np.array([np.sin(freq * x_vec) for freq in freqs])\n", + "\n", + "fig, axis = plt.subplots(figsize=(4, 4.75))\n", + "sidpy.viz.plot_utils.plot_line_family(axis, x_vec, y_mat)\n", + "\n", + "num_steps = len(freqs)\n", + "\n", + "sm = sidpy.viz.plot_utils.make_scalar_mappable(1, num_steps+1)\n", + "\n", + "cbar = plt.colorbar(sm, ax=axis, orientation='horizontal',\n", + " pad=0.04, use_gridspec=True)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "## cbar_for_line_plot()\n", + "# ---------------------\n", + "Note that from the above plot it may not be clear if the signal is radiating outwards or spiraling inwards.\n", + "In these cases it helps to add a colorbar. However, colorbars can typically only be added for 2D images.\n", + "In such cases we can use a handy function: ``cbar_for_line_plot()``" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "num_pts = 1024\n", + "t_vec = np.linspace(0, 10*np.pi, num_pts)\n", + "\n", + "fig, axis = plt.subplots(figsize=(4.5, 4))\n", + "sidpy.viz.plot_utils.rainbow_plot(axis, np.cos(t_vec)*np.linspace(0, 1, num_pts),\n", + " np.sin(t_vec)*np.linspace(0, 1, num_pts),\n", + " num_steps=32)\n", + "\n", + "cbar = sidpy.viz.plot_utils.cbar_for_line_plot(axis, 10)\n", + "cbar.set_label('Time (sec)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## use_nice_plot_params()\n", + "# ----------------------\n", + "This function changes the default plotting parameters so that the figures look nicer and are closer to publication-\n", + "ready figures. Note that all subsequent plots will be generated using the new defaults.\n", + "\n", + "## reset_plot_params()\n", + "# -------------------\n", + "This function resets the plot parameters to matplotlib defaults.\n", + "The following sequence of default >> nice >> default parameters will illustrate this.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_vec = np.linspace(0, 2*np.pi, 256)\n", + "freqs = range(1, 5)\n", + "y_mat = np.array([np.sin(freq * x_vec) for freq in freqs])\n", + "\n", + "for nice in [False, True, False]:\n", + " if nice:\n", + " sidpy.viz.plot_utils.use_nice_plot_params()\n", + " else:\n", + " sidpy.viz.plot_utils.reset_plot_params()\n", + " fig, axis = plt.subplots(figsize=(4, 4))\n", + " sidpy.viz.plot_utils.plot_line_family(axis, x_vec, y_mat)\n", + " axis.set_xlabel('Time (sec)')\n", + " axis.set_ylabel('Amplitude (a. u.)')\n", + " if nice:\n", + " axis.set_title('Nice')\n", + " else:\n", + " axis.set_title('Default')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/setup.py b/setup.py index 1d102ed0..2cd48bd7 100644 --- a/setup.py +++ b/setup.py @@ -53,7 +53,7 @@ packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]), url='https://pycroscopy.github.io/sidpy/about.html', license='MIT', - author='Suhas Somnath, Gerd Duscher, and contributors', + author='Pycroscopy contributors', author_email='pycroscopy@gmail.com', install_requires=requirements, setup_requires=['pytest-runner'], diff --git a/sidpy/__init__.py b/sidpy/__init__.py index d7017559..89ae101a 100644 --- a/sidpy/__init__.py +++ b/sidpy/__init__.py @@ -3,14 +3,11 @@ """ from .__version__ import version as __version__ from . import base, hdf, io, proc, sid, viz -from .base import dict_utils, num_utils, string_utils -from .hdf import hdf_utils, reg_ref, dtype_utils, prov_utils -from .io import interface_utils -from .proc import comp_utils -from .sid.dimension import Dimension -from .sid.translator import Translator -from .sid.reader import Reader -from .sid.dataset import Dataset +from .base import * +from .hdf import * +from .io import * +from .proc import * +from .sid import * from .viz import plot_utils from .viz import jupyter_utils diff --git a/sidpy/__version__.py b/sidpy/__version__.py index 2fde2869..0ea2ecc7 100644 --- a/sidpy/__version__.py +++ b/sidpy/__version__.py @@ -1,2 +1,2 @@ version = '0.0.3' -time = '2020-09-18 10:00:25' +time = '2020-10-09 16:00:25' diff --git a/sidpy/base/dict_utils.py b/sidpy/base/dict_utils.py index 44d78f0d..426dfc47 100644 --- a/sidpy/base/dict_utils.py +++ b/sidpy/base/dict_utils.py @@ -17,9 +17,10 @@ from collections.abc import MutableMapping else: from collections import MutableMapping +from sidpy.base.string_utils import validate_single_string_arg -def flatten_dict(nested_dict, parent_key='', sep='-'): +def flatten_dict(nested_dict, separator='-'): """ Flattens a nested dictionary @@ -27,9 +28,7 @@ def flatten_dict(nested_dict, parent_key='', sep='-'): ---------- nested_dict : dict Nested dictionary - parent_key : str, Optional - Name of current parent - sep : str, Optional. Default='-' + separator : str, Optional. Default='-' Separator between the keys of different levels Returns @@ -41,21 +40,29 @@ def flatten_dict(nested_dict, parent_key='', sep='-'): Taken from https://stackoverflow.com/questions/6027558/flatten-nested- dictionaries-compressing-keys """ - items = [] - for key, value in nested_dict.items(): - new_key = parent_key + sep + key if parent_key else key - if isinstance(value, MutableMapping): - items.extend(flatten_dict(value, new_key, sep=sep).items()) - elif isinstance(value, list): # nion files contain lists of dictionaries, oops - for i in range(len(value)): - if isinstance(value[i], dict): - for kk in value[i]: - items.append(('dim-' + kk + '-' + str(i), value[i][kk])) - else: - items.append((new_key, value)) - else: - items.append((new_key, value)) - return dict(items) + if not isinstance(nested_dict, dict): + raise TypeError('nested_dict should be a dict') + separator = validate_single_string_arg(separator, 'separator') + + def __flatten_dict_int(nest_dict, sep, parent_key=''): + items = [] + for key, value in nest_dict.items(): + new_key = parent_key + sep + key if parent_key else key + if isinstance(value, MutableMapping): + items.extend(__flatten_dict_int(value, sep, parent_key=new_key).items()) + # nion files contain lists of dictionaries, oops + elif isinstance(value, list): + for i in range(len(value)): + if isinstance(value[i], dict): + for kk in value[i]: + items.append(('dim-' + kk + '-' + str(i), value[i][kk])) + else: + items.append((new_key, value)) + else: + items.append((new_key, value)) + return dict(items) + + return __flatten_dict_int(nested_dict, separator) def nested_dict_from_flattened_key(single_pair, separator='-'): diff --git a/sidpy/base/string_utils.py b/sidpy/base/string_utils.py index a1653911..a00cd580 100644 --- a/sidpy/base/string_utils.py +++ b/sidpy/base/string_utils.py @@ -407,6 +407,12 @@ def remove_extra_delimiters(line, separator=' '): line : str Line with extra separators removed """ + if not isinstance(line, (str, unicode)): + raise TypeError('line should be a string') + if not isinstance(separator, (str, unicode)): + raise TypeError('separator should be a string') + if len(separator) == 0: + raise ValueError('separator should not be empty') items = line.split(separator) real = list() for item in items: diff --git a/sidpy/hdf/hdf_utils.py b/sidpy/hdf/hdf_utils.py index 25fe4b61..66e6ac63 100644 --- a/sidpy/hdf/hdf_utils.py +++ b/sidpy/hdf/hdf_utils.py @@ -11,7 +11,7 @@ import sys from warnings import warn from platform import platform - +from enum import Enum import h5py import numpy as np from dask import array as da @@ -385,6 +385,10 @@ def write_simple_attrs(h5_obj, attrs, verbose=False): if val is None: continue + if isinstance(val, Enum): + if verbose: + print('taking the name: {} of Enum: {}'.format(val.name, val)) + val = val.name if isinstance(val, dict): raise ValueError('provided dictionary was nested, not flat. ' 'Flatten dictionary using sidpy.base.dict_utils.' diff --git a/sidpy/proc/comp_utils.py b/sidpy/proc/comp_utils.py index e365953e..16f3ff32 100644 --- a/sidpy/proc/comp_utils.py +++ b/sidpy/proc/comp_utils.py @@ -259,6 +259,8 @@ def recommend_cpu_cores(num_jobs, requested_cores=None, min_free_cores=None, else: if logical_cores > 4: min_free_cores = 2 + elif logical_cores == 1: + min_free_cores = 0 else: min_free_cores = 1 if verbose: diff --git a/sidpy/sid/__init__.py b/sidpy/sid/__init__.py index 3b33a24f..42d69a8b 100644 --- a/sidpy/sid/__init__.py +++ b/sidpy/sid/__init__.py @@ -2,9 +2,10 @@ Spectroscopy and Imaging Data related classes """ -from .dimension import Dimension +from .dimension import Dimension, DimensionTypes from .translator import Translator -from .dataset import Dataset +from .dataset import Dataset, DataTypes from .reader import Reader -__all__ = ['Dimension', 'Translator', 'Dataset', 'Reader'] +__all__ = ['Dimension', 'DimensionTypes', 'Dataset', 'DataTypes', 'Reader', + 'Translator'] diff --git a/sidpy/sid/dataset.py b/sidpy/sid/dataset.py index 47228730..0d77a485 100644 --- a/sidpy/sid/dataset.py +++ b/sidpy/sid/dataset.py @@ -11,6 +11,7 @@ """ from __future__ import division, print_function, absolute_import, unicode_literals +import sys import numpy as np import matplotlib.pylab as plt import string @@ -37,88 +38,6 @@ class DataTypes(Enum): IMAGE_4D = 8 -def get_chunks(data, chunks=None): - """ - Try to guess a reasonable chunk shape to use for block-wise - algorithms operating over `data`. - - Parameters - ---------- - data - chunks - - Returns - ------- - - """ - if chunks is None: - - if hasattr(data, 'chunklen') and hasattr(data, 'shape'): - # bcolz carray, chunk first dimension only - return (data.chunklen,) + data.shape[1:] - - elif hasattr(data, 'chunks') and hasattr(data, 'shape') and \ - len(data.chunks) == len(data.shape): - # h5py dataset - return data.chunks - - else: - # fall back to something simple, ~1Mb chunks of first dimension - row = np.asarray(data[0]) - chunklen = max(1, (2**20) // row.nbytes) - if row.shape: - chunks = (chunklen,) + row.shape - else: - chunks = (chunklen,) - return chunks - - else: - - return chunks - - -def ensure_array_like(data): - """ - - Parameters - ---------- - data - - Returns - ------- - - """ - if not hasattr(data, 'shape') or not hasattr(data, 'dtype'): - a = np.asarray(data) - if len(a.shape) == 0: - raise ValueError('not array-like') - return a - else: - return data - - -def ensure_dask_array(data, chunks=None): - """ - - Parameters - ---------- - data - chunks - - Returns - ------- - - """ - if isinstance(data, da.Array): - if chunks: - data = data.rechunk(chunks) - return data - else: - data = ensure_array_like(data) - chunks = get_chunks(data, chunks) - return da.from_array(data, chunks=chunks) - - def view_subclass(darr, cls): """ View a dask Array as an instance of a dask Array sub-class. @@ -144,22 +63,33 @@ class Dataset(da.Array): use :func:`Dataset.from_array` - requires numpy array, list or tuple This dask array is extended to have the following attributes: - -data_type: str ('image', 'image_stack', spectrum_image', ... + -data_type: DataTypes ('image', 'image_stack', spectral_image', ... -units: str + -quantity: str what kind of data ('intensity', 'height', ..) -title: name of the data set - -modality - -source - -axes: dictionary of Dimensions one for each data dimension + -modality: character of data such as 'STM, 'AFM', 'TEM', 'SEM', 'DFT', 'simulation', ..) + -source: origin of data such as acquisition instrument ('Nion US100', 'VASP', ..) + -_axes: dictionary of Dimensions one for each data dimension (the axes are dimension datasets with name, label, units, and 'dimension_type' attributes). - -attrs: dictionary of additional metadata - -orginal_metadata: dictionary of original metadata of file, + -metadata: dictionary of additional metadata + -original_metadata: dictionary of original metadata of file, -labels: returns labels of all dimensions. + -data_descriptor: returns a label for the colorbar in matplotlib and such functions: - set_dimension(axis, dimensions): set a Dimension to a specific axis + -from_array(data, name): constructs the dataset form a array like object (numpy array, dask array, ...) + -like_data(data,name): constructs the dataset form a array like object and copies attributes and + metadata from parent dataset + -copy() + -plot(): plots dataset dependend on data_typw and dimension_types. + -get_extent(): extent to be used with imshow function of matplotlib + -set_dimension(axis, dimensions): set a Dimension to a specific axis + -rename_dimension(dimension, name): renames attribute of dimension + -view_metadata: pretty plot of metadata dictionary + -view_original_metadata: pretty plot of original_metadata dictionary """ def __init__(self, *args, **kwargs): @@ -182,18 +112,16 @@ def __init__(self, *args, **kwargs): self.data_descriptor : str Description of this dataset self.modality : str - Isn't this the same as data_type? + character of data such as 'STM', 'TEM', 'DFT' self.source : str Source of this dataset. Such as instrument, analysis, etc.? self.h5_dataset : h5py.Dataset Reference to HDF5 Dataset object from which this Dataset was created - self.axes : dict + self._axes : dict Dictionary of Dimension objects per dimension of the Dataset - self.group_attrs : dict - ? - self.attrs : dict - ? + self.meta_data : dict + Metadata to store relevant additional information for the dataset. self.original_metadata : dict Metadata from the original source of the dataset. This dictionary often contains the vendor-specific metadata or internal attributes @@ -203,36 +131,43 @@ def __init__(self, *args, **kwargs): super(Dataset, self).__init__() self._units = '' + self._quantity = '' self._title = '' - self._data_type = '' - self._data_descriptor = '' + self._data_type = DataTypes.UNKNOWN self._modality = '' self._source = '' self._h5_dataset = None - self.metadata = {} - self.original_metadata = {} + self._metadata = {} + self._original_metadata = {} + self._axes = {} + self.view = None # this will hold the figure and axis reference for a plot def __repr__(self): - rep = 'sipy Dataset of type {} with:\n '.format(self.data_type) + rep = 'sidpy.Dataset of type {} with:\n '.format(self.data_type.name) rep = rep + super(Dataset, self).__repr__() rep = rep + '\n data contains: {} ({})'.format(self.quantity, self.units) rep = rep + '\n and Dimensions: ' - for key in self.axes: + for key in self._axes: # TODO: This should be using the repr of Dimension - rep = rep + '\n {}: {} ({}) of size {}'.format(self.axes[key].name, self.axes[key].quantity, - self.axes[key].units, len(self.axes[key].values)) + rep = rep + '\n {}'.format(self._axes[key].__repr__()) + + if hasattr(self, 'metadata'): + if len(self.metadata) > 0: + rep = rep + '\n with metadata: {}'.format(list(self.metadata.keys())) return rep + # TODO: Implement __eq__ + def hdf_close(self): if self.h5_dataset is not None: self.h5_dataset.file.close() print(self.h5_dataset) @classmethod - def from_array(cls, x, chunks=None, name=None, lock=False): + def from_array(cls, x, name='generic', chunks='auto', lock=False): """ Initializes a sidpy dataset from an array-like object (i.e. numpy array) All meta-data will be set to be generically. @@ -249,46 +184,33 @@ def from_array(cls, x, chunks=None, name=None, lock=False): Returns ------- + sidpy dataset """ - # override this as a class method to allow sub-classes to return - # instances of themselves - - # ensure array-like - x = ensure_array_like(x) - if hasattr(cls, 'check_input_data'): - cls.check_input_data(x) - - # determine chunks, guessing something reasonable if user does not - # specify - chunks = get_chunks(np.array(x), chunks) # create vanilla dask array - darr = da.from_array(np.array(x), chunks=chunks, name=name, lock=lock) + darr = da.from_array(np.array(x), name=name, chunks=chunks, lock=lock) # view as sub-class - cls = view_subclass(darr, cls) - cls.data_type = 'UNKNOWN' - cls.units = 'generic' - cls.title = 'generic' - cls.quantity = 'generic' - - cls.modality = 'generic' - cls.source = 'generic' - cls.data_descriptor = 'generic' - - cls.axes = {} - for dim in range(cls.ndim): + sid_dset = view_subclass(darr, cls) + sid_dset.data_type = 'UNKNOWN' + sid_dset.units = 'generic' + sid_dset.title = name + sid_dset.quantity = 'generic' + + sid_dset.modality = 'generic' + sid_dset.source = 'generic' + + sid_dset._axes = {} + for dim in range(sid_dset.ndim): # TODO: add parent to dimension to set attribute if name changes - cls.set_dimension(dim, - Dimension(string.ascii_lowercase[dim], - np.arange(cls.shape[dim]))) - cls.attrs = {} - cls.group_attrs = {} - cls.original_metadata = {} - return cls - - def like_data(self, data, name=None, lock=False): + sid_dset.set_dimension(dim, + Dimension(np.arange(sid_dset.shape[dim]),string.ascii_lowercase[dim])) + sid_dset.metadata = {} + sid_dset.original_metadata = {} + return sid_dset + + def like_data(self, data, name=None, chunks='auto', lock=False): """ Returns sidpy.Dataset of new values but with metadata of this dataset - if dimension of new dataset is different from this dataset and the scale is linear, @@ -301,14 +223,20 @@ def like_data(self, data, name=None, lock=False): values of new sidpy dataset name: optional string name of new sidpy dataset - lock: boolean + chunks: optional list of integers + size of chunks for dask array + lock: optional boolean + for dask array + Returns ------- sidpy dataset """ + if name is None: + name = 'like {}'.format(self.title) - new_data = self.from_array(data, chunks=None, name=None, lock=False) + new_data = self.from_array(data, name=name, chunks=chunks, lock=lock) new_data.data_type = self.data_type new_data.units = self.units @@ -320,27 +248,28 @@ def like_data(self, data, name=None, lock=False): new_data.modality = self.modality new_data.source = self.source - new_data.data_descriptor = '' for dim in range(new_data.ndim): # TODO: add parent to dimension to set attribute if name changes - new_data.labels.append(string.ascii_lowercase[dim]) - if len(self.axes[dim].values) == new_data.shape[dim]: - new_data.set_dimension(dim, self.axes[dim]) + if len(self._axes[dim].values) == new_data.shape[dim]: + new_data.set_dimension(dim, self._axes[dim]) else: # assuming the axis scale is equidistant try: - scale = get_slope(self.axes[dim].values) - axis = self.axes[dim].copy() - axis.values = np.arange(new_data.shape[dim])*scale + scale = get_slope(self._axes[dim]) + axis = self._axes[dim].copy() + axis = Dimension(np.arange(new_data.shape[dim])*scale, self._axes[dim].name) + axis.quantity = self._axes[dim].quantity + axis.units = self._axes[dim].units + axis.dimension_type = self._axes[dim].dimension_type + new_data.set_dimension(dim, axis) + except ValueError: print('using generic parameters for dimension ', dim) - new_data.attrs = dict(self.attrs).copy() - new_data.group_attrs = {} # dict(self.group_attrs).copy() + new_data.metadata = dict(self.metadata).copy() new_data.original_metadata = {} - new_data.metadata = {} return new_data def copy(self): @@ -352,7 +281,7 @@ def copy(self): sidpy dataset """ - dset_copy = Dataset.from_array(self, self.chunks, self.name) + dset_copy = Dataset.from_array(self, self.name, self.chunks) dset_copy.title = self.title dset_copy.units = self.units @@ -361,13 +290,34 @@ def copy(self): dset_copy.modality = self.modality dset_copy.source = self.source - dset_copy.axes = {} - for dim in range(dset_copy.ndim): - dset_copy.set_dimension(dim, self.axes[dim].copy()) - dset_copy.attrs = dict(self.attrs).copy() + dset_copy._axes = {} + for dim in self._axes: + dset_copy.set_dimension(dim, self._axes[dim]) + dset_copy.metadata = dict(self.metadata).copy() return dset_copy + def __validate_dim_index(self, ind): + """ + Validates the provided index for a Dimension object + + Parameters + ---------- + ind : int + Index of the dimension + + Raises + ------- + TypeError : if ind is not an integer + IndexError : if ind is less than 0 or greater than maximum allowed + index for Dimension + """ + if not isinstance(ind, int): + raise TypeError('Dimension must be an integer') + if 0 > ind >= len(self.shape): + raise IndexError('Dimension must be an integer between 0 and {}' + ''.format(len(self.shape)-1)) + def rename_dimension(self, ind, name): """ Renames Dimension at the specified index @@ -379,24 +329,24 @@ def rename_dimension(self, ind, name): name : str New name for Dimension """ - if not isinstance(ind, int): - raise ValueError('Dimension must be an integer') - if 0 > ind >= len(self.shape): - raise ValueError('Dimension must be an integer between 0 and {}' - ''.format(len(self.shape)-1)) + self.__validate_dim_index(ind) if not isinstance(name, str): - raise ValueError('New Dimension name must be a string') - delattr(self, self.axes[ind].name) - self.axes[ind].name = name - setattr(self, name, self.axes[ind]) - - def set_dimension(self, dim, dimension): + raise TypeError('New Dimension name must be a string') + for key, dim in self._axes.items(): + if key != ind: + if name == dim.name: + raise ValueError('New Dimension name already used, but must be unique') + delattr(self, self._axes[ind].name) + self._axes[ind].name = name + setattr(self, name, self._axes[ind]) + + def set_dimension(self, ind, dimension): """ sets the dimension for the dataset including new name and updating the axes dictionary Parameters ---------- - dim: int + ind: int Index of dimension dimension: sidpy.Dimension Dimension object describing this dimension of the Dataset @@ -405,12 +355,12 @@ def set_dimension(self, dim, dimension): ------- """ - if isinstance(dimension, Dimension): - setattr(self, dimension.name, dimension) - setattr(self, 'dim_{}'.format(dim), dimension) - self.axes[dim] = dimension - else: - raise ValueError('dimension needs to be a sidpy dimension object') + self.__validate_dim_index(ind) + if not isinstance(dimension, Dimension): + raise TypeError('dimension needs to be a sidpy.Dimension object') + setattr(self, dimension.name, dimension) + setattr(self, 'dim_{}'.format(ind), dimension) + self._axes[ind] = dimension def view_metadata(self): """ @@ -520,7 +470,7 @@ def get_extent(self, dimensions): # TODO : Should this method not be internal? i.e. start with _ extend = [] for ind, dim in enumerate(dimensions): - temp = self.axes[dim].values + temp = self._axes[dim].values start = temp[0] - (temp[1] - temp[0])/2 end = temp[-1] + (temp[-1] - temp[-2])/2 if ind == 1: @@ -534,8 +484,8 @@ def get_extent(self, dimensions): @property def labels(self): labels = [] - for key, dim in self.axes.items(): - labels.append(dim.name) + for key, dim in self._axes.items(): + labels.append('{} ({})'.format(dim.quantity, dim.units)) return labels @property @@ -561,15 +511,15 @@ def units(self, value): raise ValueError('units needs to be a string') @property - def data_descriptor(self): - return self._data_descriptor + def quantity(self): + return self._quantity - @data_descriptor.setter - def data_descriptor(self, value): + @quantity.setter + def quantity(self, value): if isinstance(value, str): - self._data_descriptor = value + self._quantity = value else: - raise ValueError('data_descriptor needs to be a string') + raise ValueError('quantity needs to be a string') @property def data_type(self): @@ -582,8 +532,10 @@ def data_type(self, value): self._data_type = DataTypes[value.upper()] else: self._data_type = DataTypes.UNKNOWN - print('Supported data_types for plotting are only: ', DataTypes._member_names_) + raise Warning('Supported data_types for plotting are only: ', DataTypes._member_names_) print('Setting data_type to UNKNOWN') + elif isinstance(value, DataTypes): + self._data_type = value else: raise ValueError('data_type needs to be a string') @@ -621,3 +573,37 @@ def h5_dataset(self, value): self.hdf_close() else: raise ValueError('h5_dataset needs to be a hdf5 Dataset') + + @property + def metadata(self): + return self._metadata + + @metadata.setter + def metadata(self, value): + if isinstance(value, dict): + if sys.getsizeof(value) < 64000: + self._metadata = value + else: + raise ValueError('metadata dictionary too large, please use attributes for ' + 'large additional data sets') + else: + raise ValueError('metadata needs to be a python dictionary') + + @property + def original_metadata(self): + return self._original_metadata + + @original_metadata.setter + def original_metadata(self, value): + if isinstance(value, dict): + if sys.getsizeof(value) < 64000: + self._original_metadata = value + else: + raise ValueError('original_metadata dictionary too large, please use attributes for ' + 'large additional data sets') + else: + raise ValueError('original_metadata needs to be a python dictionary') + + @property + def data_descriptor(self): + return '{} ({})'.format(self.quantity, self.units) diff --git a/sidpy/sid/dimension.py b/sidpy/sid/dimension.py index ff478759..8c331229 100644 --- a/sidpy/sid/dimension.py +++ b/sidpy/sid/dimension.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- """ -Utilities that assist in writing USID related data to HDF5 files +Objects that represent dimensions or axes of scientific datasets Created on Thu Jul 7 21:14:25 2020 @@ -9,20 +9,24 @@ from __future__ import division, print_function, unicode_literals, \ absolute_import +from warnings import warn import sys import numpy as np from enum import Enum from sidpy.base.string_utils import validate_single_string_arg -__all__ = ['Dimension'] +__all__ = ['Dimension', 'DimensionTypes'] if sys.version_info.major == 3: unicode = str -# todo: Consider extending numpy.ndarray instead of generic python object - class DimensionTypes(Enum): + """ + Physical type of Dimension object. This information will be used for + visualization and processing purposes. + """ + # TODO: Rename class to DimensionType - singular rather than plural UNKNOWN = -1 SPATIAL = 1 RECIPROCAL = 2 @@ -30,16 +34,13 @@ class DimensionTypes(Enum): TEMPORAL = 4 -class Dimension(object): +class Dimension(np.ndarray): """ """ - def __init__(self, name, values, quantity='generic', units='generic', - dimension_type=DimensionTypes.UNKNOWN): + def __new__(cls, values, name='none', quantity='generic', units='generic', + dimension_type=DimensionTypes.UNKNOWN, *args, **kwargs): """ - Simple object that describes a dimension in a dataset by its name, - units, and values - Parameters ---------- name : str or unicode @@ -52,7 +53,8 @@ def __init__(self, name, values, quantity='generic', units='generic', Values over which this dimension was varied. A linearly increasing set of values will be generated if an integer is provided instead of an array. - dimension_type : str or unicode for example: 'spectral' or 'spatial', + dimension_type : str or sidpy.sid.dimension.DimensionTypes + For example: 'spectral', 'spatial', 'reciprocal', or 'UNKNOWN' 'time', 'frame', 'reciprocal' This will determine how the data are visualized. 'spatial' are image dimensions. 'spectral' indicate spectroscopy data dimensions. @@ -71,12 +73,57 @@ def __init__(self, name, values, quantity='generic', units='generic', Values over which this dimension was varied """ - self.name = name - self.values = values + if isinstance(values, int): + if values < 0: + raise TypeError("values should at least be specified as a positive integer") + values = np.arange(values) + elif len(np.array(values)) == 0: + raise TypeError("values should at least be specified as a positive integer") + if np.array(values).ndim != 1: + raise ValueError('Dimension can only be 1 dimensional') + new_dim = np.asarray(values, dtype=float).view(cls) + new_dim.name = name + new_dim.quantity = quantity + new_dim.units = units + new_dim.dimension_type = dimension_type + return new_dim + + def __array_finalize__(self, obj): + # see InfoArray.__array_finalize__ for comments + if obj is None: + return + self.name = getattr(obj, 'name', 'generic') + self.quantity = getattr(obj, 'quantity', 'generic') + self.units = getattr(obj, 'name', 'units') + self.dimension_type = getattr(obj, 'dimension_type', 'UNKNOWN') + + def __array_wrap__(self, out_arr, context=None): + # just call the parent + super(Dimension, self).__array_wrap__(self, out_arr, context) + # return correct values + return out_arr + + def __repr__(self): + return '{}: {} ({}) of size {}'.format(self.name, self.quantity, self.units, self.shape) + + def __str__(self): + return '{}: {} ({}) of size {}'.format(self.name, self.quantity, self.units, self.shape) - self.quantity = quantity - self.units = units - self.dimension_type = dimension_type + def __copy__(self): + new_dim = Dimension(np.array(self), name=self.name, quantity=self.quantity, units=self.units) + new_dim.dimension_type = self.dimension_type + return new_dim + + # TODO: Find out how to get rid of this + def copy(self): + # Not sure why __copy__() would not be called by itself + new_dim = self.__copy__() + return new_dim + + @property + def info(self): + return '{} - {} ({}): {}'.format(self.name, self.quantity, self.units, + self.values) @property def name(self): @@ -111,52 +158,22 @@ def dimension_type(self, value): if isinstance(value, DimensionTypes): self._dimension_type = value else: - dimension_type = validate_single_string_arg(value, 'dimension_type') + dimension_type = validate_single_string_arg(value, + 'dimension_type') - if dimension_type.upper() in DimensionTypes._member_names_: + if dimension_type.upper() in [member.name for member in DimensionTypes]: self._dimension_type = DimensionTypes[dimension_type.upper()] elif dimension_type.lower() in ['frame', 'time', 'stack']: self._dimension_type = DimensionTypes.TEMPORAL else: self._dimension_type = DimensionTypes.UNKNOWN - print('Supported dimension_types for plotting are only: ', DimensionTypes._member_names_) - print('Setting DimensionTypes to UNKNOWN') + warn('Supported dimension types for plotting are only: {}' + ''.format([member.name for member in DimensionTypes])) + warn('Setting DimensionType to UNKNOWN') @property def values(self): - return self._values - - @values.setter - def values(self, values): - if isinstance(values, int): - if values < 1: - raise ValueError('values should at least be specified as a ' - 'positive integer') - values = np.arange(values) - if not isinstance(values, (np.ndarray, list, tuple)): - raise TypeError('values should be array-like') - values = np.array(values) - if values.ndim > 1: - raise ValueError('Values for dimension: {} are not 1-dimensional' - ''.format(self.name)) - - self._values = values - - def copy(self): - """ - Returns a copy of this Dimension - - Returns - ------- - sidpy.Dimension - Copy of this sidpy.Dimension - """ - return Dimension(self.name, self.values, self.quantity, self.units, - self.dimension_type) - - def __repr__(self): - return '{} - {} ({}): {}'.format(self.name, self.quantity, self.units, - self.values) + return np.array(self) def __eq__(self, other): if isinstance(other, Dimension): @@ -166,6 +183,7 @@ def __eq__(self, other): return False if self.quantity != other.quantity: return False + # TODO: Is this sufficient or do we need to call super if len(self.values) != len(other.values): return False if not np.allclose(self.values, other.values): diff --git a/sidpy/viz/dataset_viz.py b/sidpy/viz/dataset_viz.py index 660fcde3..5e37dd86 100644 --- a/sidpy/viz/dataset_viz.py +++ b/sidpy/viz/dataset_viz.py @@ -16,7 +16,7 @@ import matplotlib.patches as patches # import matplotlib.animation as animation - +from ..hdf.dtype_utils import is_complex_dtype if sys.version_info.major == 3: unicode = str @@ -45,7 +45,7 @@ def __init__(self, dset, spectrum_number=None, figure=None, **kwargs): self.selection = [] self.spectral_dims = [] - for dim, axis in dset.axes.items(): + for dim, axis in dset._axes.items(): if axis.dimension_type == DimensionTypes.SPECTRAL: self.selection.append(slice(None)) self.spectral_dims.append(dim) @@ -62,23 +62,23 @@ def __init__(self, dset, spectrum_number=None, figure=None, **kwargs): if temp is not None: fig_args['figsize'] = temp - self.dim = self.dset.axes[self.spectral_dims[0]] - if False: # is_complex_dtype(np.array(dset)): + self.dim = self.dset._axes[self.spectral_dims[0]] + + if is_complex_dtype(dset.dtype): # Plot real and image fig, axes = plt.subplots(nrows=2, **fig_args) - for axis, ufunc, comp_name in zip(axes.flat, [np.abs, np.angle], ['Magnitude', 'Phase']): - axis.plot(self.dset.axes[ref_dims].values, ufunc(np.squeeze(curve)), **kwargs) - if comp_name == 'Magnitude': - axis.set_title(self.dset.title + '\n(' + comp_name + ')', pad=15) - axis.set_xlabel(self.dset.axes[ref_dims[0]].name) # + x_suffix) - axis.set_ylabel(self.dset.data_descriptor) - axis.ticklabel_format(style='sci', scilimits=(-2, 3)) - else: - axis.set_title(comp_name, pad=15) - axis.set_ylabel('Phase (rad)') - axis.set_xlabel(self.get_dimension_labels()[ref_dims[0]]) # + x_suffix) - axis.ticklabel_format(style='sci', scilimits=(-2, 3)) + axes[0].plot(self.dim.values, np.abs(np.squeeze(self.dset)), **kwargs) + + axes[0].set_title(self.dset.title + '\n(Magnitude)', pad=15) + axes[0].set_xlabel(self.dset.labels[self.dim]) + axes[0].set_ylabel(self.dset.data_descriptor) + axes[0].ticklabel_format(style='sci', scilimits=(-2, 3)) + + axes[1].set_title(self.dset.title + '\n(Phase)', pad=15) + axes[1].set_ylabel('Phase (rad)') + axes[1].set_xlabel(self.dset.labels[self.spectral_dims[0]]) # + x_suffix) + axes[1].ticklabel_format(style='sci', scilimits=(-2, 3)) fig.tight_layout() @@ -86,8 +86,8 @@ def __init__(self, dset, spectrum_number=None, figure=None, **kwargs): self.axis = self.fig.add_subplot(1, 1, 1, **fig_args) self.axis.plot(self.dim.values, self.dset, **kwargs) self.axis.set_title(self.dset.title, pad=15) - self.axis.set_xlabel('{}, [{}]'.format(self.dim.quantity, self.dim.units)) # + x_suffix) - self.axis.set_ylabel('{}, [{}]'.format(self.dset.quantity, self.dset.units)) + self.axis.set_xlabel(self.dset.labels[self.spectral_dims[0]]) + self.axis.set_ylabel(self.dset.data_descriptor) self.axis.ticklabel_format(style='sci', scilimits=(-2, 3)) self.fig.canvas.draw_idle() @@ -141,7 +141,7 @@ def __init__(self, dset, figure=None, image_number=0, **kwargs): self.selection = [] self.image_dims = [] - for dim, axis in dset.axes.items(): + for dim, axis in dset._axes.items(): if axis.dimension_type in [DimensionTypes.SPATIAL, DimensionTypes.RECIPROCAL]: self.selection.append(slice(None)) self.image_dims.append(dim) @@ -154,20 +154,30 @@ def __init__(self, dset, figure=None, image_number=0, **kwargs): if len(self.image_dims) != 2: raise ValueError('We need two dimensions with dimension_type SPATIAL or RECIPROCAL to plot an image') - if False: # is_complex_dtype(self.dset): - # Plot real and image - fig, axes = plt.subplots(nrows=2, **fig_args) - for axis, ufunc, comp_name in zip(axes.flat, [np.abs, np.angle], ['Magnitude', 'Phase']): - cbar_label = self.data_descriptor - if comp_name == 'Phase': - cbar_label = 'Phase (rad)' - plot_map(axis, ufunc(np.squeeze(img)), show_xy_ticks=True, show_cbar=True, - cbar_label=cbar_label, x_vec=ref_dims[1].values, y_vec=ref_dims[0].values, - **kwargs) - axis.set_title(self.name + '\n(' + comp_name + ')', pad=15) - axis.set_xlabel(ref_dims[1].name + ' (' + ref_dims[1].units + ')' + suffix[1]) - axis.set_ylabel(ref_dims[0].name + ' (' + ref_dims[0].units + ')' + suffix[0]) - fig.tight_layout() + if is_complex_dtype(dset.dtype): + # Plot complex image + self.axes = [] + self.axes.append(self.fig.add_subplot(121)) + self.img = self.axes[0].imshow(np.abs(np.squeeze(np.array(self.dset[tuple(self.selection)]))).T, + extent=self.dset.get_extent(self.image_dims), **kwargs) + self.axes[0].set_xlabel(self.dset.labels[self.image_dims[0]]) + self.axes[0].set_ylabel(self.dset.labels[self.image_dims[1]]) + self.axes[0].set_title(dset.title + '\n(Magnitude)', pad=15) + cbar = self.fig.colorbar(self.img) + cbar.set_label("{} [{}]".format(self.dset.quantity, self.dset.units)) + self.axes[0].ticklabel_format(style='sci', scilimits=(-2, 3)) + + self.axes.append(self.fig.add_subplot(122, sharex=self.axes[0], sharey=self.axes[0])) + self.img_c = self.axes[1].imshow(np.angle(np.squeeze(np.array(self.dset[tuple(self.selection)]))).T, + extent=self.dset.get_extent(self.image_dims), **kwargs) + self.axes[1].set_xlabel(self.dset.labels[self.image_dims[0]]) + self.axes[1].set_ylabel(self.dset.labels[self.image_dims[1]]) + self.axes[1].set_title(dset.title + '\n(Phase)', pad=15) + cbar_c = self.fig.colorbar(self.img_c) + cbar_c.set_label(self.dset.data_descriptor) + self.axes[1].ticklabel_format(style='sci', scilimits=(-2, 3)) + + self.fig.tight_layout() else: self.axis = self.fig.add_subplot(1, 1, 1) @@ -182,12 +192,10 @@ def plot_image(self, **kwargs): else: self.axis.set_title(self.dset.title) - self.img = self.axis.imshow(np.squeeze(self.dset[tuple(self.selection)]).T, + self.img = self.axis.imshow(np.squeeze(np.array(self.dset[tuple(self.selection)])).T, extent=self.dset.get_extent(self.image_dims), **kwargs) - self.axis.set_xlabel("{} [{}]".format(self.dset.axes[self.image_dims[0]].quantity, - self.dset.axes[self.image_dims[0]].units)) - self.axis.set_ylabel("{} [{}]".format(self.dset.axes[self.image_dims[1]].quantity, - self.dset.axes[self.image_dims[1]].units)) + self.axis.set_xlabel(self.dset.labels[self.image_dims[0]]) + self.axis.set_ylabel(self.dset.labels[self.image_dims[1]]) if scale_bar: plt.axis('off') @@ -197,7 +205,7 @@ def plot_image(self, **kwargs): size_of_bar = 1 scalebar = AnchoredSizeBar(plt.gca().transData, size_of_bar, '{} {}'.format(size_of_bar, - self.dset.axes[self.image_dims[0]].units), + self.dset._axes[self.image_dims[0]].units), 'lower left', pad=1, color='white', @@ -208,7 +216,7 @@ def plot_image(self, **kwargs): else: cbar = self.fig.colorbar(self.img) - cbar.set_label("{} [{}]".format(self.dset.quantity, self.dset.units)) + cbar.set_label(self.dset.data_descriptor) self.axis.ticklabel_format(style='sci', scilimits=(-2, 3)) self.fig.tight_layout() @@ -262,7 +270,7 @@ def __init__(self, dset, figure=None, **kwargs): self.stack_dim = -1 self.image_dims = [] self.selection = [] - for dim, axis in dset.axes.items(): + for dim, axis in dset._axes.items(): if axis.dimension_type == DimensionTypes.SPATIAL: self.selection.append(slice(None)) self.image_dims.append(dim) @@ -289,6 +297,7 @@ def __init__(self, dset, figure=None, **kwargs): self.number_of_slices = self.dset.shape[self.stack_dim] self.axis = None self.plot_image(**kwargs) + self.axis = plt.gca() self.axis.set_title('image stack: ' + dset.title + '\n use scroll wheel to navigate images') self.img.axes.figure.canvas.mpl_connect('scroll_event', self._onscroll) @@ -340,10 +349,8 @@ def plot_image(self, **kwargs): self.img = self.axis.imshow(np.squeeze(self.dset[tuple(self.selection)]).T, extent=self.dset.get_extent(self.image_dims), **kwargs) - self.axis.set_xlabel("{} [{}]".format(self.dset.axes[self.image_dims[0]].quantity, - self.dset.axes[self.image_dims[0]].units)) - self.axis.set_ylabel("{} [{}]".format(self.dset.axes[self.image_dims[1]].quantity, - self.dset.axes[self.image_dims[1]].units)) + self.axis.set_xlabel(self.dset.labels[self.image_dims[0]]) + self.axis.set_ylabel(self.dset.labels[self.image_dims[1]]) if scale_bar: @@ -354,7 +361,7 @@ def plot_image(self, **kwargs): size_of_bar = 1 scalebar = AnchoredSizeBar(plt.gca().transData, size_of_bar, '{} {}'.format(size_of_bar, - self.dset.axes[self.image_dims[0]].units), + self.dset._axes[self.image_dims[0]].units), 'lower left', pad=1, color='white', @@ -365,10 +372,11 @@ def plot_image(self, **kwargs): else: cbar = self.fig.colorbar(self.img) - cbar.set_label("{} [{}]".format(self.dset.quantity, self.dset.units)) + cbar.set_label(self.dset.data_descriptor) self.axis.ticklabel_format(style='sci', scilimits=(-2, 3)) self.fig.tight_layout() + self.img.axes.figure.canvas.draw_idle() def _average_slices(self, event): @@ -430,7 +438,7 @@ def __init__(self, dset, figure=None, horizontal=True, **kwargs): selection = [] image_dims = [] spectral_dims = [] - for dim, axis in dset.axes.items(): + for dim, axis in dset._axes.items(): if axis.dimension_type == DimensionTypes.SPATIAL: selection.append(slice(None)) image_dims.append(dim) @@ -455,7 +463,7 @@ def __init__(self, dset, figure=None, horizontal=True, **kwargs): size_y = dset.shape[image_dims[1]] self.dset = dset - self.energy_scale = dset.axes[spectral_dims[0]].values + self.energy_scale = dset._axes[spectral_dims[0]].values self.extent = [0, size_x, size_y, 0] self.rectangle = [0, size_x, 0, size_y] @@ -473,13 +481,13 @@ def __init__(self, dset, figure=None, horizontal=True, **kwargs): self.axes = self.fig.subplots(nrows=2, **fig_args) self.fig.canvas.set_window_title(self.dset.title) - self.image = np.average(self.dset, axis=spectral_dims[0]) + self.image = np.average(np.array(self.dset), axis=spectral_dims[0]) self.axes[0].imshow(self.image.T, extent=self.extent, **kwargs) if horizontal: - self.axes[0].set_xlabel('{} [pixels]'.format(self.dset.axes[image_dims[0]].quantity)) + self.axes[0].set_xlabel('{} [pixels]'.format(self.dset._axes[image_dims[0]].quantity)) else: - self.axes[0].set_ylabel('{} [pixels]'.format(self.dset.axes[image_dims[1]].quantity)) + self.axes[0].set_ylabel('{} [pixels]'.format(self.dset._axes[image_dims[1]].quantity)) self.axes[0].set_aspect('equal') # self.rect = patches.Rectangle((0,0),1,1,linewidth=1,edgecolor='r',facecolor='red', alpha = 0.2) @@ -492,10 +500,10 @@ def __init__(self, dset, figure=None, horizontal=True, **kwargs): self.axes[1].plot(self.energy_scale, self.spectrum) self.axes[1].set_title('spectrum {}, {}'.format(self.x, self.y)) - self.xlabel = "{} ({})".format(self.dset.axes[self.spec_dim].quantity, self.dset.axes[self.spec_dim].units) - self.axes[1].set_xlabel(self.xlabel) # + x_suffix) - self.ylabel = "{} ({})".format(self.dset.axes[self.spec_dim].quantity, self.dset.axes[self.spec_dim].units) - self.axes[1].set_ylabel(self.ylabel) + self.xlabel = self.dset.labels[self.spec_dim] + self.ylabel = self.dset.data_descriptor + self.axes[1].set_xlabel(self.dset.labels[self.spec_dim]) # + x_suffix) + self.axes[1].set_ylabel(self.dset.data_descriptor) self.axes[1].ticklabel_format(style='sci', scilimits=(-2, 3)) self.fig.tight_layout() self.cid = self.axes[1].figure.canvas.mpl_connect('button_press_event', self._onclick) @@ -540,7 +548,7 @@ def get_spectrum(self): self.y = self.dset.shape[self.image_dims[1]] - self.bin_y selection = [] - for dim, axis in self.dset.axes.items(): + for dim, axis in self.dset._axes.items(): # print(dim, axis.dimension_type) if axis.dimension_type == DimensionTypes.SPATIAL: if dim == self.image_dims[0]: diff --git a/tests/base/test_dict_utils.py b/tests/base/test_dict_utils.py index e69de29b..6080ec50 100644 --- a/tests/base/test_dict_utils.py +++ b/tests/base/test_dict_utils.py @@ -0,0 +1,116 @@ +# -*- coding: utf-8 -*- +""" +Created on Mon Sep 28 15:07:16 2020 + +@author: Suhas Somnath +""" +from __future__ import division, print_function, unicode_literals, \ + absolute_import +import unittest +import sys +sys.path.append("../../sidpy/") +from sidpy.base.dict_utils import * + +if sys.version_info.major == 3: + unicode = str + + +class TestFlattenDict(unittest.TestCase): + + def test_already_flat(self): + pass + + def test_two_level(self): + pass + + def test_five_level(self): + pass + + def test_non_str_keys(self): + pass + + def test_invalid_separator(self): + pass + + def test_not_dict_at_all(self): + pass + + def test_value_is_list(self): + # Going by what @gduscher added + pass + + +class TestMergeDicts(unittest.TestCase): + + def test_blah(self): + pass + + +class TestNestDict(unittest.TestCase): + + def test_not_dict(self): + pass + + def test_invalid_separator(self): + pass + + def test_empty_separator(self): + pass + + def test_incorrect_separator(self): + pass + + def test_already_nested_dict(self): + pass + + def test_partially_nested_dict(self): + pass + + def test_typical_flat_dict(self): + pass + + def test_keys_are_not_str(self): + pass + + +class TestNestedDictFromFlattenedKey(unittest.TestCase): + + def test_nothing_to_flatten(self): + pass + + def test_multiple_key_val(self): + pass + + def test_five_level_key(self): + pass + + def test_not_a_dict_at_all(self): + pass + + def test_invalid_sep(self): + pass + + def test_wrong_separator(self): + pass + + def test_key_is_not_str(self): + pass + + +class TestPrintNestedDict(unittest.TestCase): + + def test_not_dict(self): + pass + + def test_invalid_level_type(self): + pass + + def test_flat_dict(self): + pass + + def test_typical_nested_dict(self): + pass + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/base/test_string_utils.py b/tests/base/test_string_utils.py index a031c2eb..c6019bb4 100644 --- a/tests/base/test_string_utils.py +++ b/tests/base/test_string_utils.py @@ -171,7 +171,87 @@ def test_unequal_lengths(self): def test_names_not_list_of_strings(self): with self.assertRaises(TypeError): _ = validate_string_args(['a', 'v'], {'a': 1, 'v': 43}) - + + +class TestStrToOther(unittest.TestCase): + + def test_invalid_input_obj_type(self): + for val in [1.23, {'1we': 123}, ['dssd'], True, None]: + with self.assertRaises(TypeError): + str_to_other(val) + + def base_test(self, inputs, out_type): + for val in inputs: + ret = str_to_other(str(val)) + self.assertEqual(val, ret) + self.assertIsInstance(ret, out_type) + + def test_int(self): + self.base_test([23, -235457842], int) + + def test_float(self): + self.base_test([23.45643, -2354.57842], float) + + def test_exp(self): + self.base_test([3.14E3, -4.3E-5], float) + + def test_str(self): + self.base_test(['hello', '1fd353'], str) + + def test_bool(self): + for val in ['true', 'TRUE', 'True']: + ret = str_to_other(val) + self.assertEqual(ret, True) + self.assertIsInstance(ret, bool) + for val in ['false', 'FALSE', 'False']: + ret = str_to_other(val) + self.assertEqual(ret, False) + self.assertIsInstance(ret, bool) + + +class TestRemoveExtraDelimiters(unittest.TestCase): + + def test_invalid_sep_type(self): + for sep in [14, {'fdfd': 45}, [' ', ', '], True, (23, None)]: + with self.assertRaises(TypeError): + remove_extra_delimiters('fddfdf dfref', separator=sep) + + def test_invalid_line_type(self): + for line in [14, {'fdfd': 45}, [' ', ', '], True, (23, None)]: + with self.assertRaises(TypeError): + remove_extra_delimiters(line, separator='-') + + def test_empty_delim(self): + with self.assertRaises(ValueError): + remove_extra_delimiters('this is a test', '') + + def typical_case(self, pad=False): + words = ['this', 'is', 'a', 'test'] + for sep in [' ', '-']: + line = sep.join(words) + if pad: + dirty = sep * 4 + line + sep * 3 + else: + dirty = line + clean = remove_extra_delimiters(dirty, separator=sep) + self.assertEqual(line, clean) + self.assertIsInstance(clean, str) + + def test_single_delim(self): + self.typical_case(pad=False) + + def test_delims_before_or_after(self): + self.typical_case(pad=True) + + def test_multiple_consecutive_delims(self): + line = 'this is a test sentence' + words = ['this', 'is', 'a', 'test', 'sentence'] + clean = remove_extra_delimiters(line, separator=' ') + self.assertEqual(clean, ' '.join(words)) + line = 'this====is=a==test=========sentence' + clean = remove_extra_delimiters(line, separator='=') + self.assertEqual(clean, '='.join(words)) + if __name__ == '__main__': unittest.main() diff --git a/tests/hdf/test_hdf_utils.py b/tests/hdf/test_hdf_utils.py index 8dc35c2f..41487a4d 100644 --- a/tests/hdf/test_hdf_utils.py +++ b/tests/hdf/test_hdf_utils.py @@ -11,7 +11,7 @@ import h5py import numpy as np import dask.array as da - +from enum import Enum sys.path.append("../../sidpy/") from sidpy.hdf import hdf_utils @@ -350,6 +350,23 @@ def test_to_grp(self): os.remove(file_path) + def test_nested_attrs(self): + file_path = 'test.h5' + data_utils.delete_existing_file(file_path) + with h5py.File(file_path, mode='w') as h5_f: + + h5_group = h5_f.create_group('Blah') + + attrs = {'att_1': 'string_val', + 'att_2': {'attr_3': [1, 2, 3.14, 4], + 'att_4': ['s', 'tr', 'str_3']}, + 'att_5': {'att_6': 4}, + } + with self.assertRaises(ValueError): + hdf_utils.write_simple_attrs(h5_group, attrs) + + os.remove(file_path) + def test_np_array(self): file_path = 'test.h5' data_utils.delete_existing_file(file_path) @@ -377,6 +394,29 @@ def test_none_ignored(self): os.remove(file_path) + def test_enum_value(self): + file_path = 'test.h5' + + class MyEnum(Enum): + BLUE = 1 + RED = 2 + GREEN = 3 + + data_utils.delete_existing_file(file_path) + with h5py.File(file_path, mode='w') as h5_f: + + val = MyEnum.RED + + key = 'att_1' + expected = val.name + attrs = {'att_1': val} + + hdf_utils.write_simple_attrs(h5_f, attrs) + + self.assertEqual(hdf_utils.get_attr(h5_f, key), expected) + + os.remove(file_path) + def test_space_in_key_removed(self): file_path = 'test.h5' data_utils.delete_existing_file(file_path) diff --git a/tests/proc/test_comp_utils.py b/tests/proc/test_comp_utils.py index 0963f0e5..71ac2065 100644 --- a/tests/proc/test_comp_utils.py +++ b/tests/proc/test_comp_utils.py @@ -23,34 +23,50 @@ def test_many_small_jobs(self): num_jobs = 14035 if MAX_CPU_CORES > 4: min_free_cores = 2 + elif MAX_CPU_CORES == 1: + min_free_cores = 0 else: min_free_cores = 1 - ret_val = comp_utils.recommend_cpu_cores(num_jobs, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + lengthy_computation=False) self.assertEqual(ret_val, max(1, MAX_CPU_CORES-min_free_cores)) - ret_val = comp_utils.recommend_cpu_cores(num_jobs, requested_cores=1, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + requested_cores=1, + lengthy_computation=False) self.assertEqual(ret_val, 1) - ret_val = comp_utils.recommend_cpu_cores(num_jobs, requested_cores=MAX_CPU_CORES, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + requested_cores=MAX_CPU_CORES, + lengthy_computation=False) self.assertEqual(ret_val, MAX_CPU_CORES) - ret_val = comp_utils.recommend_cpu_cores(num_jobs, requested_cores=5000, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + requested_cores=5000, + lengthy_computation=False) self.assertEqual(ret_val, MAX_CPU_CORES) def test_changing_min_cores(self): num_jobs = 14035 for min_free_cores in range(1, MAX_CPU_CORES): - ret_val = comp_utils.recommend_cpu_cores(num_jobs, lengthy_computation=False, min_free_cores=min_free_cores) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + lengthy_computation=False, + min_free_cores=min_free_cores) self.assertEqual(ret_val, max(1, MAX_CPU_CORES - min_free_cores)) def test_illegal_min_free_cores(self): num_jobs = 14035 min_free_cores = MAX_CPU_CORES with self.assertRaises(ValueError): - _ = comp_utils.recommend_cpu_cores(num_jobs, lengthy_computation=False, min_free_cores=min_free_cores) + _ = comp_utils.recommend_cpu_cores(num_jobs, + lengthy_computation=False, + min_free_cores=min_free_cores) def test_few_small_jobs(self): num_jobs = 13 - ret_val = comp_utils.recommend_cpu_cores(num_jobs, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + lengthy_computation=False) self.assertEqual(ret_val, 1) - ret_val = comp_utils.recommend_cpu_cores(num_jobs, requested_cores=MAX_CPU_CORES, lengthy_computation=False) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + requested_cores=MAX_CPU_CORES, + lengthy_computation=False) self.assertEqual(ret_val, 1) def test_few_large_jobs(self): @@ -59,9 +75,12 @@ def test_few_large_jobs(self): min_free_cores = 2 else: min_free_cores = 1 - ret_val = comp_utils.recommend_cpu_cores(num_jobs, lengthy_computation=True) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + lengthy_computation=True) self.assertEqual(ret_val, max(1, MAX_CPU_CORES-min_free_cores)) - ret_val = comp_utils.recommend_cpu_cores(num_jobs, requested_cores=MAX_CPU_CORES - 1, lengthy_computation=True) + ret_val = comp_utils.recommend_cpu_cores(num_jobs, + requested_cores=max(1, MAX_CPU_CORES - 1), + lengthy_computation=True) self.assertEqual(ret_val, max(1, MAX_CPU_CORES - 1)) def test_invalid_min_cores(self): @@ -154,7 +173,10 @@ def base_parallel_compute(self, num_job_scaler=50, cores=None, data = np.random.rand(MAX_CPU_CORES * num_job_scaler, 5) expected = np.mean(data, axis=1) if expected_cores is None: - expected_cores = MAX_CPU_CORES - 1 - int(MAX_CPU_CORES > 4) + expected_cores = max(1, MAX_CPU_CORES - 1 - int(MAX_CPU_CORES > 4)) + else: + # Handles single core machines + expected_cores = max(1, min(MAX_CPU_CORES, expected_cores)) exp_log = 'Rank 0 starting computing on {} cores (requested {} cores' \ ')'.format(expected_cores, cores) @@ -169,7 +191,6 @@ def base_parallel_compute(self, num_job_scaler=50, cores=None, self.assertIsInstance(result, list) self.assertEqual(data.shape[0], len(result)) self.assertTrue(np.allclose(expected, np.array(result))) - print(logs) self.assertTrue(exp_log in logs) def test_standard_joblib_compute_many_jobs(self): @@ -211,7 +232,7 @@ def base_with_custom_func(self, use_args=False, use_kwargs=False, data = np.random.rand(MAX_CPU_CORES * 50, 5) expected = (data - 0.5) * 3 if expected_cores is None: - expected_cores = MAX_CPU_CORES - 1 - int(MAX_CPU_CORES > 4) + expected_cores = max(1, MAX_CPU_CORES - 1 - int(MAX_CPU_CORES > 4)) exp_log = 'Rank 0 starting computing on {} cores (requested {} cores' \ ')'.format(expected_cores, cores) @@ -226,20 +247,22 @@ def base_with_custom_func(self, use_args=False, use_kwargs=False, self.assertIsInstance(result, list) self.assertEqual(data.shape[0], len(result)) self.assertTrue(np.allclose(expected, np.array(result))) - print(logs) self.assertTrue(exp_log in logs) def test_func_args_only_parallel(self): - self.base_with_custom_func(use_args=True, use_kwargs=False, - cores=None, expected_cores=None) + if MAX_CPU_CORES > 1: + self.base_with_custom_func(use_args=True, use_kwargs=False, + cores=None, expected_cores=None) def test_func_kwargs_only_parallel(self): - self.base_with_custom_func(use_args=False, use_kwargs=True, - cores=None, expected_cores=None) + if MAX_CPU_CORES > 1: + self.base_with_custom_func(use_args=False, use_kwargs=True, + cores=None, expected_cores=None) def test_func_args_and_kwargs_parallel(self): - self.base_with_custom_func(use_args=True, use_kwargs=True, - cores=None, expected_cores=None) + if MAX_CPU_CORES > 1: + self.base_with_custom_func(use_args=True, use_kwargs=True, + cores=None, expected_cores=None) def test_func_args_only_serial(self): self.base_with_custom_func(use_args=True, use_kwargs=False, diff --git a/tests/sid/test_dataset.py b/tests/sid/test_dataset.py new file mode 100644 index 00000000..a93ad307 --- /dev/null +++ b/tests/sid/test_dataset.py @@ -0,0 +1,454 @@ +# -*- coding: utf-8 -*- +""" +Created on Fri Sep 18 17:07:16 2020 + +@author: Suhas Somnath, Gerd Duscher +""" +from __future__ import division, print_function, unicode_literals, \ + absolute_import +import unittest +import sys +import numpy as np +import dask.array as da +import string + +sys.path.append("../../sidpy/") +from sidpy.sid.dimension import Dimension, DimensionTypes +from sidpy.sid.dataset import DataTypes, Dataset + +if sys.version_info.major == 3: + unicode = str + + +generic_attributes = ['title', 'quantity', 'units', 'modality', 'source'] + + +def validate_dataset_properties(self, dataset, values, name='generic', + title='generic', quantity='generic', units='generic', + modality='generic', source='generic', dimension_dict=None, + data_type=DataTypes.UNKNOWN, + metadata={}, original_metadata={} + ): + self.assertIsInstance(self, unittest.TestCase) + self.assertIsInstance(dataset, Dataset) + # DONE: Validate that EVERY property is set correctly + values = np.array(values) + + self.assertTrue(np.all([hasattr(dataset, att) for att in generic_attributes])) + + expected = values.flatten() + actual = np.array(dataset).flatten() + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + + this_attributes = [title, quantity, units, modality, source] + dataset_attributes = [getattr(dataset, att) for att in generic_attributes] + + for expected, actual in zip(dataset_attributes, this_attributes): + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + + self.assertEqual(dataset.data_type, data_type) + + self.assertEqual(dataset.metadata, metadata) + self.assertEqual(dataset.original_metadata, original_metadata) + + if dimension_dict is None: + for dim in range(len(values.shape)): + self.assertEqual(getattr(dataset, string.ascii_lowercase[dim]), + getattr(dataset, 'dim_{}'.format(dim))) + else: + for dim in range(len(values.shape)): + self.assertEqual(getattr(dataset, dimension_dict[dim].name), + getattr(dataset, 'dim_{}'.format(dim))) + self.assertEqual(dataset._axes[dim], dimension_dict[dim]) + + # Make sure we do not have too many dimensions + self.assertFalse(hasattr(dataset, 'dim_{}'.format(len(values.shape)))) + self.assertFalse(hasattr(dataset, string.ascii_lowercase[len(values.shape)])) + + +class TestDatasetFromArray(unittest.TestCase): + + def test_std_inputs(self): + # verify generic properties, dimensions, etc. + values = np.random.random([4, 5, 6]) + descriptor = Dataset.from_array(values) + + validate_dataset_properties(self, descriptor, values) + + +class TestDatasetConstructor(unittest.TestCase): + + def test_minimal_inputs(self): + """ test minimum input requirement of an array like object + """ + with self.assertRaises(TypeError): + Dataset.from_array() + descriptor = Dataset.from_array(np.arange(3)) + validate_dataset_properties(self, descriptor, np.arange(3)) + + def test_all_inputs(self): + descriptor = Dataset.from_array(np.arange(3), name='test') + validate_dataset_properties(self, descriptor, np.arange(3), title='test') + + def test_user_defined_parms(self): + descriptor = Dataset.from_array(np.arange(3), name='test') + + for att in generic_attributes: + setattr(descriptor, att, 'test') + + test_dict = {0: 'test'} + descriptor.metadata = test_dict.copy() + descriptor.original_metadata = test_dict.copy() + + validate_dataset_properties(self, descriptor, np.arange(3), name='test', + title='test', quantity='test', units='test', + modality='test', source='test', dimension_dict=None, + data_type=DataTypes.UNKNOWN, + metadata=test_dict, original_metadata=test_dict + ) + + def test_invalid_main_types(self): + """ + anything that is not recognized by dask will make an empty dask array + but name has to be a string + """ + # TODO: call validate_dataset_properties instead + descriptor = Dataset.from_array(DataTypes.UNKNOWN) + self.assertEqual(descriptor.shape, ()) + + descriptor = Dataset.from_array('test') + self.assertEqual(descriptor.shape, ()) + + descriptor = Dataset.from_array(1) + self.assertEqual(descriptor.shape, ()) + + with self.assertRaises(ValueError): + Dataset.from_array(1, 1) + # TODO: Should be TypeError + + def test_numpy_array_input(self): + x = np.ones([3, 4, 5]) + descriptor = Dataset.from_array(x, name='test') + self.assertEqual(descriptor.shape, x.shape) + # TODO: call validate_dataset_properties instead + + def test_dask_array_input(self): + x = da.zeros([3, 4], chunks='auto') + descriptor = Dataset.from_array(x, chunks='auto', name='test') + self.assertEqual(descriptor.shape, x.shape) + # TODO: call validate_dataset_properties instead + + def test_list_input(self): + x = [[3, 4, 6], [5, 6, 7]] + descriptor = Dataset.from_array(x, name='test') + self.assertEqual(descriptor.shape, np.array(x).shape) + # TODO: call validate_dataset_properties instead + + def test_1d_main_data(self): + values = np.ones([10]) + descriptor = Dataset.from_array(values) + self.assertTrue(np.all([x == y for x, y in zip(values, descriptor)])) + + # TODO: call validate_dataset_properties instead + # Move such validation to validate_dataset_properties + for dim in range(len(values.shape)): + self.assertEqual(getattr(descriptor, string.ascii_lowercase[dim]), + getattr(descriptor, 'dim_{}'.format(dim))) + + self.assertFalse(hasattr(descriptor, 'dim_{}'.format(len(values.shape)))) + self.assertFalse(hasattr(descriptor, string.ascii_lowercase[len(values.shape)])) + + def test_2d_main_data(self): + values = np.random.random([4, 5]) + descriptor = Dataset.from_array(values) + + for expected, actual in zip(values, descriptor): + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + for dim in range(len(values.shape)): + self.assertEqual(getattr(descriptor, string.ascii_lowercase[dim]), + getattr(descriptor, 'dim_{}'.format(dim))) + + self.assertFalse(hasattr(descriptor, 'dim_{}'.format(len(values.shape)))) + self.assertFalse(hasattr(descriptor, string.ascii_lowercase[len(values.shape)])) + + def test_3d_main_data(self): + values = np.random.random([4, 5, 6]) + descriptor = Dataset.from_array(values) + + for expected, actual in zip(values, descriptor): + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + + for dim in range(len(values.shape)): + self.assertEqual(getattr(descriptor, string.ascii_lowercase[dim]), + getattr(descriptor, 'dim_{}'.format(dim))) + + self.assertFalse(hasattr(descriptor, 'dim_{}'.format(len(values.shape)))) + self.assertFalse(hasattr(descriptor, string.ascii_lowercase[len(values.shape)])) + + def test_4d_main_data(self): + values = np.random.random([4, 5, 7, 3]) + descriptor = Dataset.from_array(values) + + for expected, actual in zip(values, descriptor): + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + for dim in range(len(values.shape)): + self.assertEqual(getattr(descriptor, string.ascii_lowercase[dim]), + getattr(descriptor, 'dim_{}'.format(dim))) + + self.assertFalse(hasattr(descriptor, 'dim_{}'.format(len(values.shape)))) + self.assertFalse(hasattr(descriptor, string.ascii_lowercase[len(values.shape)])) + + def test_dimensions_not_matching_main(self): + pass + + def test_unknown_data_type(self): + values = np.random.random([4]) + descriptor = Dataset.from_array(values) + + expected = "Supported data_types for plotting are only:" + with self.assertRaises(Warning) as context: + descriptor.data_type = 'quark' + self.assertTrue(expected in str(context.exception)) + + def test_enum_data_type(self): + values = np.random.random([4]) + descriptor = Dataset.from_array(values) + for dt_type in DataTypes: + descriptor.data_type = dt_type + self.assertTrue(descriptor.data_type == dt_type) + + def test_string_data_type(self): + values = np.random.random([4]) + descriptor = Dataset.from_array(values) + for dt_type in DataTypes: + descriptor.data_type = str(dt_type.name) + self.assertTrue(descriptor.data_type == dt_type) + + +class TestDatasetRepr(unittest.TestCase): + + def test_minimal_inputs(self): + values = np.arange(5) + + descriptor = Dataset.from_array(values) + actual = '{}'.format(descriptor) + + out = 'generic' + da_array = da.from_array(values, chunks='auto', name='generic') + + expected = 'sidpy.Dataset of type {} with:\n '.format(DataTypes.UNKNOWN.name) + expected = expected + '{}'.format(da_array) + expected = expected + '\n data contains: {} ({})'.format(out, out) + expected = expected + '\n and Dimensions: ' + expected = expected + '\n {}: {} ({}) of size {}'.format('a', out, out, values.shape) + + """ + for exp, act in zip(expected.split('\n'), actual.split('\n')): + print('Expected:\t' + exp) + print('Actual:\t' + act) + print(exp == act) + """ + + self.assertEqual(actual, expected) + + def test_fully_configured(self): + values = np.arange(5) + + descriptor = Dataset.from_array(values) + for att in generic_attributes: + setattr(descriptor, att, 'test') + descriptor.metadata = {0: 'test'} + + actual = '{}'.format(descriptor) + + out = 'test' + da_array = da.from_array(values, chunks='auto', name='generic') + + expected = 'sidpy.Dataset of type {} with:\n '.format(DataTypes.UNKNOWN.name) + expected = expected + '{}'.format(da_array) + expected = expected + '\n data contains: {} ({})'.format(out, out) + expected = expected + '\n and Dimensions: ' + expected = expected + '\n {}: {} ({}) of size {}'.format('a', 'generic', 'generic', values.shape) + expected = expected + '\n with metadata: {}'.format([0]) + + """ + for exp, act in zip(expected.split('\n'), actual.split('\n')): + print('Expected:\t' + exp) + print('Actual:\t' + act) + print(exp == act) + """ + + self.assertEqual(actual, expected) + + def test_user_defined_parameters(self): + # self.blah = 14. Will / should this get printed + pass + + +class TestLikeData(unittest.TestCase): + + def test_minimal_inputs(self): + values = np.ones([4, 5]) + source_dset = Dataset.from_array(values) + values = np.zeros([4, 5]) + descriptor = source_dset.like_data(values) + self.assertTrue(descriptor.shape == values.shape) + self.assertIsInstance(descriptor, Dataset) + + def test_all_customized_properties(self): + values = np.ones([4, 5]) + source_dset = Dataset.from_array(values) + for att in generic_attributes: + setattr(source_dset, att, 'test') + source_dset.metadata = {0: 'test'} + + values = np.zeros([4, 5]) + descriptor = source_dset.like_data(values) + + self.assertEqual(descriptor.title, 'like test') + descriptor.title = 'test' + self.assertTrue(np.all([getattr(descriptor, att) == 'test' for att in generic_attributes])) + + self.assertEqual(descriptor.metadata, source_dset.metadata) + self.assertEqual(descriptor.original_metadata, source_dset.original_metadata) + + def test_changing_size(self): + values = np.ones([4, 5]) + source_dset = Dataset.from_array(values) + source_dset.a *= 0.5 + source_dset.quantity = 'test' + values = np.zeros([3, 5]) + descriptor = source_dset.like_data(values) + + self.assertEqual(descriptor.a, np.arange(3)*.5) + + +class TestCopy(unittest.TestCase): + + def test_minimal_inputs(self): + values = np.random.random([4, 5]) + dataset = Dataset.from_array(values) + + descriptor = dataset.copy() + + self.assertIsInstance(descriptor, Dataset) + for expected, actual in zip(dataset, descriptor): + self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) + + self.assertTrue(np.all([hasattr(descriptor, att) for att in generic_attributes])) + + self.assertTrue(np.all([getattr(descriptor, att) == 'generic' for att in generic_attributes])) + + self.assertEqual(descriptor.data_type, DataTypes.UNKNOWN) + + self.assertEqual(descriptor.metadata, {}) + self.assertEqual(descriptor.original_metadata, {}) + + for dim in range(len(values.shape)): + self.assertEqual(getattr(descriptor, string.ascii_lowercase[dim]), + getattr(descriptor, 'dim_{}'.format(dim))) + + self.assertFalse(hasattr(descriptor, 'dim_{}'.format(len(dataset.shape)))) + self.assertFalse(hasattr(descriptor, string.ascii_lowercase[len(dataset.shape)])) + + def test_all_customized_properties(self): + values = np.random.random([4, 5]) + dataset = Dataset.from_array(values) + dataset.rename_dimension(0, 'x') + dataset.quantity = 'test' + descriptor = dataset.copy() + + self.assertIsInstance(descriptor, Dataset) + self.assertEqual(descriptor.quantity, dataset.quantity) + self.assertTrue(hasattr(descriptor, 'a')) + + +class TestRenameDimension(unittest.TestCase): + + def test_valid_index_and_name(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + descriptor.rename_dimension(0, 'v') + self.assertEqual(descriptor.v, descriptor.dim_0) + + def test_invalid_index_object_type(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + with self.assertRaises(TypeError): + descriptor.rename_dimension('v', 'v') + + def test_index_out_of_bounds(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + with self.assertRaises(KeyError): + descriptor.rename_dimension(3, 'v') + + def test_invalid_name_object_types(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + with self.assertRaises(TypeError): + descriptor.rename_dimension(0, 1) + + def test_empty_name_string(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + with self.assertRaises(ValueError): + descriptor.rename_dimension(0, '') + + def test_existing_name(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + with self.assertRaises(ValueError): + descriptor.rename_dimension(0, 'b') + + +class TestSetDimension(unittest.TestCase): + + def test_valid_index_and_dim_obj(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + descriptor.set_dimension(0, Dimension(np.arange(4), 'x', quantity='test', units='test')) + self.assertIsInstance(descriptor.x, Dimension) + + def test_invalid_dim_object(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + + with self.assertRaises(TypeError): + descriptor.set_dimension(3, "New dimension") + with self.assertRaises(TypeError): + descriptor.set_dimension('2', {'x': np.arange(4)}) + with self.assertRaises(TypeError): + descriptor.set_dimension(2, np.arange(4)) + + # validity of index tested in TestRenameDimension + + +class TestViewMetadata(unittest.TestCase): + + def test_default_empty_metadata(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + # self.assertEqual('{}'.format(descriptor.view_metadata()),'None') + + def test_entered_metadata(self): + values = np.zeros([4, 5]) + descriptor = Dataset.from_array(values) + descriptor.metadata = {0: 'test'} + + # print('{}'.format(descriptor.view_metadata())) + + # self.assertEqual(descriptor.view_metadata(), '0 : test') + + +class TestViewOriginalMetadata(unittest.TestCase): + + def test_default_empty_metadata(self): + pass + + def test_entered_metadata(self): + pass + + +if __name__ == '__main__': + unittest.main() diff --git a/tests/sid/test_dimension.py b/tests/sid/test_dimension.py index a3acb8ee..a188610f 100644 --- a/tests/sid/test_dimension.py +++ b/tests/sid/test_dimension.py @@ -4,24 +4,30 @@ @author: Suhas Somnath """ -from __future__ import division, print_function, unicode_literals, absolute_import -import unittest +from __future__ import (absolute_import, division, print_function, + unicode_literals) + import sys +import unittest +import warnings + import numpy as np +from numpy.testing import assert_array_equal +from sidpy.sid.dimension import Dimension sys.path.append("../../sidpy/") -from sidpy.sid.dimension import Dimension if sys.version_info.major == 3: unicode = str - + + class TestDimension(unittest.TestCase): def test_values_as_array(self): name = 'Bias' values = np.random.rand(5) - descriptor = Dimension(name, values) + descriptor = Dimension(values, name) for expected, actual in zip([name, values], [descriptor.name, descriptor.values]): self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) @@ -31,7 +37,7 @@ def test_values_as_length(self): units = 'V' values = np.arange(5) - descriptor = Dimension(name, len(values), units=units) + descriptor = Dimension(len(values), name, units=units) for expected, actual in zip([name, units], [descriptor.name, descriptor.units]): self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) @@ -42,47 +48,102 @@ def test_copy(self): units = 'V' values = np.arange(5) - descriptor = Dimension(name, len(values), units=units) + descriptor = Dimension(values, name, units=units) copy_descriptor = descriptor.copy() + for expected, actual in zip([copy_descriptor.name, copy_descriptor.units], [descriptor.name, descriptor.units]): self.assertTrue(np.all([x == y for x, y in zip(expected, actual)])) self.assertTrue(np.allclose(copy_descriptor.values, descriptor.values)) - copy_descriptor.units ='eV' + copy_descriptor.units = 'eV' copy_descriptor.name = 'energy' for expected, actual in zip([copy_descriptor.name, copy_descriptor.units], [descriptor.name, descriptor.units]): self.assertTrue(np.all([x != y for x, y in zip(expected, actual)])) - copy_descriptor.values = descriptor.values+1 + copy_descriptor = descriptor +1 self.assertFalse(np.allclose(copy_descriptor.values, descriptor.values)) def test_repr(self): name = 'Bias' values = np.arange(5) - descriptor = Dimension(name, len(values)) + descriptor = Dimension(values, name) actual = '{}'.format(descriptor) - quantity = 'generic' units = 'generic' - expected = '{} - {} ({}): {}'.format(name, quantity, units, values) + expected = '{}: {} ({}) of size {}'.format(name, quantity, units, values.shape) self.assertEqual(actual, expected) - def test_equality(self): - name = 'Bias' - - dim_1 = Dimension(name, [0, 1, 2, 3, 4]) - dim_2 = Dimension(name, np.arange(5, dtype=np.float32)) - self.assertEqual(dim_1, dim_2) - def test_inequality_req_inputs(self): - name = 'Bias' - - self.assertNotEqual(Dimension(name, [0, 1, 2, 3]), - Dimension(name, [0, 1, 2, 4])) - - self.assertNotEqual(Dimension('fdfd', [0, 1, 2, 3]), - Dimension(name, [0, 1, 2, 3])) - - self.assertNotEqual(Dimension(name, [0, 1, 2]), - Dimension(name, [0, 1, 2, 3])) \ No newline at end of file + name = 'X' + quantity = "Length" + units = 'nm' + + self.assertTrue(Dimension(5, name) == Dimension(5, name)) + self.assertFalse(Dimension(5, 'Y') == Dimension(5, name)) + self.assertFalse(Dimension(4, name) == Dimension(5, name)) + + self.assertTrue( + Dimension(5, units=units) == Dimension(5, units=units)) + self.assertFalse( + Dimension(5, units='pm') == Dimension(5, units=units)) + + self.assertTrue( + Dimension(5, quantity=quantity) == Dimension(5, quantity=quantity)) + self.assertFalse( + Dimension(5, quantity='Bias') == Dimension(5, quantity=quantity)) + + self.assertFalse( + Dimension(np.arange(5)) == Dimension(np.arange(5) + 1)) + + def test_dimensionality(self): + vals = np.ones((2, 2)) + expected = 'Dimension can only be 1 dimensional' + with self.assertRaises(Exception) as context: + _ = Dimension(vals, "x",) + self.assertTrue(expected in str(context.exception)) + + def test_info(self): + expected = "X - Bias (mV): [0. 1. 2. 3. 4.]" + dim = Dimension(np.arange(5), "X", "Bias", "mV") + self.assertTrue(dim.info, expected) + + def test_nonposint_values(self): + vals = [-1, []] + expected = 2*["values should at least be specified as a positive integer"] + for v, e in zip(vals, expected): + with self.assertRaises(TypeError) as context: + _ = Dimension(v, "x") + self.assertTrue(e in str(context.exception)) + + def test_conv2arr_values(self): + arr = np.arange(5) + vals = [5, arr, arr.tolist(), tuple(arr)] + vals_expected = arr + for v in vals: + dim = Dimension(v, "x") + self.assertIsInstance(dim, Dimension) + assert_array_equal(np.array(dim), vals_expected) + + def test_dimension_type(self): + dim_types = ["spatial", "Spatial", "reciprocal", "Reciprocal", + "spectral", "Spectral", "temporal", "Temporal", + "frame", "Frame", "time", "Time", "stack", "Stack"] + dim_vals_expected = [1, 1, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4] + dim_names_expected = ["SPATIAL", "SPATIAL", "RECIPROCAL", "RECIPROCAL", + "SPECTRAL", "SPECTRAL", "TEMPORAL", "TEMPORAL", + "TEMPORAL", "TEMPORAL", "TEMPORAL", "TEMPORAL", + "TEMPORAL", "TEMPORAL"] + for dt, dv, dn in zip(dim_types, dim_vals_expected, dim_names_expected): + dim = Dimension(5, "x", dimension_type=dt) + self.assertEqual(dim.dimension_type.value, dv) + self.assertEqual(dim.dimension_type.name, dn) + + def test_unknown_dimension_type(self): + dim_type = "bad_name" + expected_wrn = ["Supported dimension types for plotting are only: [", + "Setting DimensionType to UNKNOWN"] + with warnings.catch_warnings(record=True) as w: + _ = Dimension(5, "x", dimension_type=dim_type) + self.assertTrue(expected_wrn[0] in str(w[0].message)) + self.assertTrue(expected_wrn[1] in str(w[1].message)) diff --git a/tests/sid/test_reader.py b/tests/sid/test_reader.py new file mode 100644 index 00000000..2ae2ac19 --- /dev/null +++ b/tests/sid/test_reader.py @@ -0,0 +1,190 @@ +# -*- coding: utf-8 -*- +""" +Created on Tue Nov 3 15:07:16 2017 + +@author: Suhas Somnath +""" +from __future__ import division, print_function, unicode_literals, \ + absolute_import +import unittest +import sys +import os +sys.path.append("../../sidpy/") +from sidpy.sid import Reader + + +class TestCanReadNotImplemented(unittest.TestCase): + + def setUp(self): + + class DummyReader(Reader): + + def read(self): + pass + + self.reader_class = DummyReader + + def test_bad_init_obj(self): + with self.assertRaises(TypeError): + _ = self.reader_class(['haha.txt']) + + def test_file_does_not_exist(self): + with self.assertRaises(FileNotFoundError): + _ = self.reader_class('haha.txt') + + def test_valid_file(self): + + file_path = os.path.abspath('blah.txt') + with open(file_path, mode='w') as file_handle: + file_handle.write('Nothing') + + reader = self.reader_class(file_path) + with self.assertRaises(NotImplementedError): + reader.can_read() + + os.remove(file_path) + + def test_invalid_file_object(self): + with self.assertRaises(TypeError): + _ = self.reader_class(1.23234) + + with self.assertRaises(TypeError): + _ = self.reader_class({'fdfdfd': 33}) + + with self.assertRaises(TypeError): + _ = self.reader_class([1, '2343434', False]) + + def test_empty_file_path(self): + with self.assertRaises(ValueError): + _ = self.reader_class(' ') + + def test_space_in_file_path(self): + file_path = './blah.txt' + with open(file_path, mode='w') as file_handle: + file_handle.write('Nothing') + + reader = self.reader_class(' ' + file_path + ' ') + + self.assertEqual(reader._input_file_path, file_path) + + os.remove(file_path) + + +class TestCanReadExtVariations(unittest.TestCase): + + def test_invalid_ext_obj_type(self): + class DummyReader(Reader): + def can_read(self): + with self.assertRaises(TypeError): + return super(DummyReader, self).can_read(extension={'txt': 5}) + + def base_test_extension_variations(self, exts, file_paths): + class DummyReader(Reader): + def can_read(self): + return super(DummyReader, self).can_read(extension=exts) + + if isinstance(file_paths, str): + file_paths = [file_paths] + + for file_path in file_paths: + file_path = os.path.abspath(file_path) + + with open(file_path, mode='w') as file_handle: + file_handle.write('Nothing') + + reader = DummyReader(file_path) + + self.assertTrue(reader.can_read()) + + os.remove(file_path) + + def test_upper_case_extension(self): + self.base_test_extension_variations('TXT', ['blah.TXT', 'blah.txt']) + + def test_lower_case_extension(self): + self.base_test_extension_variations('txt', ['blah.TXT', 'blah.txt']) + + def test_multi_cases_extensions(self): + self.base_test_extension_variations(['txt', 'RST'], + ['blah.TXT', 'blah.rst']) + + def test_dot_before_extensions(self): + self.base_test_extension_variations('.txt', ['blah.TXT', 'blah.txt']) + + +class TestCanReadOneExt(unittest.TestCase): + + def setUp(self): + + class DummyReader(Reader): + + def can_read(self): + return super(DummyReader, self).can_read(extension='txt') + + self.reader_class = DummyReader + + def base_test(self, file_path, assert_func): + + file_path = os.path.abspath(file_path) + + with open(file_path, mode='w') as file_handle: + file_handle.write('Nothing') + + reader = self.reader_class(file_path) + + assert_func(reader.can_read()) + + os.remove(file_path) + + def test_valid_extension(self): + self.base_test('blah.txt', self.assertTrue) + + def test_invalid_extension(self): + self.base_test('blah.rst', self.assertFalse) + + def test_invalid_dir(self): + reader = self.reader_class('.') + self.assertFalse(reader.can_read()) + + +class TestCanReadMultiExts(unittest.TestCase): + + def setUp(self): + class DummyReader(Reader): + + def can_read(self): + exts = ['txt', 'rst'] + return super(DummyReader, self).can_read(extension=exts) + + def read(self): + pass + + self.reader_class = DummyReader + + def base_test(self, file_path, assert_func): + file_path = os.path.abspath(file_path) + + with open(file_path, mode='w') as file_handle: + file_handle.write('Nothing') + + reader = self.reader_class(file_path) + + assert_func(reader.can_read()) + + os.remove(file_path) + + def test_valid_txt_file(self): + self.base_test('blah.txt', self.assertTrue) + + def test_valid_rst_file(self): + self.base_test('blah.rst', self.assertTrue) + + def test_invalid_file(self): + self.base_test('blah.png', self.assertFalse) + + def test_case_insensitive(self): + self.base_test('ALL_CAPS.RST', self.assertTrue) + + +if __name__ == '__main__': + unittest.main()