bumped version numbers to 1.42.0

.circleci/config.yml

@@ -64,7 +64,7 @@ python_variables: &python_variables
   CIRCLE_ARTIFACTS: /tmp/circleci-artifacts
   CIRCLE_TEST_REPORTS: /tmp/circleci-test-results
   CODECOV_TOKEN: b0d35139-0a75-427a-907b-2c78a762f8f0
-  VERSION: 1.41.1
+  VERSION: 1.42.0
   PANDOC_RELEASES_URL: https://github.com/jgm/pandoc/releases
   RUN_BLACK: true
 python: &python

CHANGES.md

@@ -1,6 +1,14 @@
 ## Changelog
 
-###1.41.1 (2021-3-30)
+### 1.42.0 (2021-4-11)
+* Added missingno chart display
+* added new side panel for viewing describe data
+  * updated how requirements files are loaded in setup.py
+  * added cleanup function to instance object
+  * added animation for display of hidden/filter/sort info row
+* [#306](https://github.com/man-group/dtale/issues/306): ribbon menu
+
+### 1.41.1 (2021-3-30)
 * [#458](https://github.com/man-group/dtale/issues/458): fix for killing D-Tale sessions in jupyter_server_proxy
 
 ### 1.41.0 (2021-3-26)

README.md

@@ -83,7 +83,7 @@ D-Tale was the product of a SAS to Python conversion.  What was originally a per
   - [Main Menu Functions](#main-menu-functions)
     - [XArray Operations](#xarray-operations), [Describe](#describe), [Outlier Detection](#outlier-detection), [Custom Filter](#custom-filter), [Building Columns](#building-columns), [Merge & Stack](#merge-&-stack), [Summarize Data](#summarize-data), [Duplicates](#duplicates), [Missing Analysis](#missing-analysis), [Correlations](#correlations), [Predictive Power Score](#predictive-power-score), [Heat Map](#heat-map), [Highlight Dtypes](#highlight-dtypes), [Highlight Missing](#highlight-missing), [Highlight Outliers](#highlight-outliers), [Highlight Range](#highlight-range), [Low Variance Flag](#low-variance-flag), [Instances](#instances), [Code Exports](#code-exports), [Export CSV](#export-csv), [Load Data & Sample Datasets](#load-data-&-sample-datasets), [Refresh Widths](#refresh-widths), [About](#about), [Theme](#theme), [Reload Data](#reload-data), [Unpin/Pin Menu](#unpinpin-menu), [Language](#language), [Shutdown](#shutdown)
   - [Column Menu Functions](#column-menu-functions)
-    - [Filtering](#filtering), [Moving Columns](#moving-columns), [Hiding Columns](#hiding-columns), [Delete](#delete), [Rename](#rename), [Replacements](#replacements), [Lock](#lock), [Unlock](#unlock), [Sorting](#sorting), [Formats](#formats), [Describe (Column Analysis)](#describecolumn-analysis)
+    - [Filtering](#filtering), [Moving Columns](#moving-columns), [Hiding Columns](#hiding-columns), [Delete](#delete), [Rename](#rename), [Replacements](#replacements), [Lock](#lock), [Unlock](#unlock), [Sorting](#sorting), [Formats](#formats), [Describe (Column Analysis)](#describe-column-analysis)
   - [Charts](#charts)
   - [Network Viewer](#network-viewer)
   - [Hotkeys](#hotkeys)
@@ -709,14 +709,14 @@ The folowing screen shots are for a dataframe with the following data:
 |**Show Duplicates**|Break any duplicate rows (based on a subset of columns) out into another dataframe viewable in your D-Tale session. You can choose to view all duplicates or select specific groups based on the duplicated value.|![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/duplicates/show.png)|
 
 #### Missing Analysis
-Display charts analyzing the presence of missing (NaN) data in your dataset using the [missingno]() pacakage.  You can also open them in a tab by themselves or export them to a static PNG using the links in the upper right corner.
+Display charts analyzing the presence of missing (NaN) data in your dataset using the [missingno](https://github.com/ResidentMario/missingno) pacakage.  You can also open them in a tab by themselves or export them to a static PNG using the links in the upper right corner.
 
 
 | Chart        | Sample |
 |--------------|--------|
-| Matrix     | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/matrix.PNG)|
-| Bar        | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/bar.PNG)|
-| Heatmap    | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/heatmap.PNG)|
+| Matrix     | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/matrix.png)|
+| Bar        | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/bar.png)|
+| Heatmap    | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/heatmap.png)|
 | Dendrogram | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/missingno/dendrogram.png)|
 
 #### Charts
@@ -1164,13 +1164,13 @@ Based on the data type of a column different charts will be shown.
 
 | Chart         | Data Types     | Sample |
 |---------------|----------------|--------|
-| Box Plot      | Float, Int, Date | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/boxplot.PNG)|
+| Box Plot      | Float, Int, Date | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/boxplot.png)|
 | Histogram     | Float, Int |![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/histogram.PNG)|
 | Value Counts  | Int, String, Bool, Date, Category|![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/value_counts.PNG)|
 | Word Value Counts | String | ![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/word_value_counts.png)|
 | Category      | Float   |![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/category.PNG)|
 | Geolocation*  | Int, Float     |![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/geolocation.PNG)|
-| Q-Q Plot      | Int, Float, Date |![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/qq.PNG)|
+| Q-Q Plot      | Int, Float, Date |![](https://raw.githubusercontent.com/aschonfeld/dtale-media/master/images/analysis/qq.png)|
 
 
 **Histogram** can be displayed in any number of bins (default: 20), simply type a new integer value in the bins input

docker/dtale.env

@@ -1,2 +1,2 @@
-VERSION=1.41.1
+VERSION=1.42.0
 TZ=America/New_York

docs/source/conf.py

@@ -64,9 +64,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = u"1.41.1"
+version = u"1.42.0"
 # The full version, including alpha/beta/rc tags.
-release = u"1.41.1"
+release = u"1.42.0"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

package.json

@@ -1,6 +1,6 @@
 {
   "name": "dtale",
-  "version": "1.41.1",
+  "version": "1.42.0",
   "description": "Visualizer for Pandas Data Structures",
   "main": "main.js",
   "directories": {

setup.py

@@ -8,16 +8,25 @@
 from setuptools import find_packages, setup
 from setuptools.command.test import test as TestCommand
 
+
+def read_file(path):
+    with open(path) as contents:
+        return contents.read()
+
+
 # Convert Markdown to RST for PyPI
 # http://stackoverflow.com/a/26737672
 try:
     import pypandoc
 
-    long_description = pypandoc.convert("README.md", "rst")
-    changelog = pypandoc.convert("CHANGES.md", "rst")
+    pypandoc_func = (
+        pypandoc.convert_file if hasattr(pypandoc, "convert_file") else pypandoc.convert
+    )
+    long_description = pypandoc_func("README.md", "rst")
+    changelog = pypandoc_func("CHANGES.md", "rst")
 except (IOError, ImportError, OSError):
-    long_description = open("README.md").read()
-    changelog = open("CHANGES.md").read()
+    long_description = read_file("README.md")
+    changelog = read_file("CHANGES.md")
 
 
 class PyTest(TestCommand):
@@ -62,29 +71,24 @@ def run_tests(self):
         sys.exit(errno)
 
 
-def load_requirements(path):
-    with open(path) as requirements:
-        return requirements.read()
-
-
 setup(
     name="dtale",
-    version="1.41.1",
+    version="1.42.0",
     author="MAN Alpha Technology",
     author_email="ManAlphaTech@man.com",
     description="Web Client for Visualizing Pandas Objects",
     license="LGPL",
     long_description="\n".join((long_description, changelog)),
     keywords=["numeric", "pandas", "visualization", "flask"],
     url="https://github.com/man-group/dtale",
-    install_requires=load_requirements("requirements.txt"),
+    install_requires=read_file("requirements.txt"),
     extras_require={
         "arctic": ["arctic"],
         "r": ["rpy2; python_version > '3.0'"],
         "redis": ["redislite"],
         "streamlit": ["streamlit"],
         "swifter": ["swifter"],
-        "tests": load_requirements("requirements-test.txt"),
+        "tests": read_file("requirements-test.txt"),
     },
     classifiers=[
         "Development Status :: 4 - Beta",