diff --git a/content/call-center.csv b/content/call-center.csv new file mode 100644 index 0000000..bc7689b --- /dev/null +++ b/content/call-center.csv @@ -0,0 +1,401 @@ +Employee ID,Avg Tix / Day,Customer rating,Tardies,Graveyard Shifts Taken,Weekend Shifts Taken,Sick Days Taken,% Sick Days Taken on Friday,Employee Dev. 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@@ -0,0 +1,329 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "66907701-1675-4ef5-ac61-a88a436e5b16", + "metadata": {}, + "source": [ + "# Case 1 - Call Center Staffing Analytics - Detecting Favoritism using Machine Learning\n", + "## Situation: \n", + "A call center operation was under close scrutiny for uneven performance,\n", + "shoddy operations and low employee morale. There was a rumor floating around that\n", + "the call center manager was engaging in favoritism, that certain employees were given\n", + "unfairly easy working conditions, but no one was able to present a convincing case\n", + "against the manager.\n", + "## Complication: \n", + "Some even went so far as to accuse the manager of nepotism --\n", + "implying that the workers being given extra sweet deals were those that were related to\n", + "the manager. The case was before a judge who, given the seriousness of the case,\n", + "asked for hard evidence.\n", + "## Key question:\n", + "Can we use machine learning to ‘objectively’ identify whether there is\n", + "any hard evidence to prove that certain employees were being treated in a\n", + "systematically different way than others. Can we do this using not one, but multiple\n", + "dimensions, together?" + ] + }, + { + "cell_type": "markdown", + "id": "a4d3b2e4-8015-455f-8b10-9dad7beae687", + "metadata": {}, + "source": [ + "# start your analysis " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f1efa156-e449-4e40-a2b2-a580df2bbe05", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.neighbors import LocalOutlierFactor\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "dea8b335-e502-4b51-a825-f914c29d752e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Employee IDAvg Tix / DayCustomer ratingTardiesGraveyard Shifts TakenWeekend Shifts TakenSick Days Taken% Sick Days Taken on FridayEmployee Dev. HoursShift Swaps RequestedShift Swaps Offered
count400.000000400.000000400.000000400.000000400.000000400.000000400.000000400.000000400.000000400.000000400.000000
mean137946.037500156.0857503.4951501.4650001.9850000.9525001.87500035.22000011.9700001.4475001.760000
std4240.8774174.4166380.4614970.9726970.7945770.5486311.67373239.2950617.4708520.9998721.812626
min130564.000000143.1000002.0700000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%134401.500000153.0750003.2100001.0000001.0000001.0000000.0000000.0000006.0000001.0000000.000000
50%137906.500000156.0500003.5050001.0000002.0000001.0000002.00000025.00000012.0000001.0000001.000000
75%141771.250000159.1000003.8100002.0000002.0000001.0000003.00000067.00000017.0000002.0000003.000000
max145176.000000168.7000004.8100004.0000004.0000002.0000007.000000100.00000034.0000005.0000009.000000
\n", + "
" + ], + "text/plain": [ + " Employee ID Avg Tix / Day Customer rating Tardies \\\n", + "count 400.000000 400.000000 400.000000 400.000000 \n", + "mean 137946.037500 156.085750 3.495150 1.465000 \n", + "std 4240.877417 4.416638 0.461497 0.972697 \n", + "min 130564.000000 143.100000 2.070000 0.000000 \n", + "25% 134401.500000 153.075000 3.210000 1.000000 \n", + "50% 137906.500000 156.050000 3.505000 1.000000 \n", + "75% 141771.250000 159.100000 3.810000 2.000000 \n", + "max 145176.000000 168.700000 4.810000 4.000000 \n", + "\n", + " Graveyard Shifts Taken Weekend Shifts Taken Sick Days Taken \\\n", + "count 400.000000 400.000000 400.000000 \n", + "mean 1.985000 0.952500 1.875000 \n", + "std 0.794577 0.548631 1.673732 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 1.000000 1.000000 0.000000 \n", + "50% 2.000000 1.000000 2.000000 \n", + "75% 2.000000 1.000000 3.000000 \n", + "max 4.000000 2.000000 7.000000 \n", + "\n", + " % Sick Days Taken on Friday Employee Dev. Hours \\\n", + "count 400.000000 400.000000 \n", + "mean 35.220000 11.970000 \n", + "std 39.295061 7.470852 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 6.000000 \n", + "50% 25.000000 12.000000 \n", + "75% 67.000000 17.000000 \n", + "max 100.000000 34.000000 \n", + "\n", + " Shift Swaps Requested Shift Swaps Offered \n", + "count 400.000000 400.000000 \n", + "mean 1.447500 1.760000 \n", + "std 0.999872 1.812626 \n", + "min 0.000000 0.000000 \n", + "25% 1.000000 0.000000 \n", + "50% 1.000000 1.000000 \n", + "75% 2.000000 3.000000 \n", + "max 5.000000 9.000000 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_csv(\"call-center.csv\")\n", + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7c792038-fc69-4471-bbd8-e4cd5f033faf", + "metadata": {}, + "outputs": [], + "source": [ + "# Normalize the data\n", + "scaler = StandardScaler()\n", + "call_center_scaled = pd.DataFrame(scaler.fit_transform(call_center.iloc[:, 1:11]), columns=call_center.columns[1:11])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "48dbc8e2-d38d-41fd-b8bb-3ffce9978336", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate the outlier scores using LocalOutlierFactor (similar to LOF in R)\n", + "lof = LocalOutlierFactor(n_neighbors=5)\n", + "outlier_scores = -lof.fit_predict(call_center_scaled)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f94b9b53-ccfc-4368-9963-059bbad3b623", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot score density\n", + "sns.kdeplot(outlier_scores)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f36ca55e-3624-4a4f-ad27-e271c9ce796f", + "metadata": {}, + "outputs": [], + "source": [ + "# Filter rows with high outlier scores\n", + "outliers = call_center[outlier_scores > 1.5]\n", + "print(outliers)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/content/javascript.ipynb b/content/javascript.ipynb deleted file mode 100644 index a5e7487..0000000 --- a/content/javascript.ipynb +++ /dev/null @@ -1,86 +0,0 @@ -{ - "metadata": { - "language_info": { - "codemirror_mode": { - "name": "javascript" - }, - "file_extension": ".js", - "mimetype": "text/javascript", - "name": "javascript", - "nbconvert_exporter": "javascript", - "pygments_lexer": "javascript", - "version": "es2017" - }, - "kernelspec": { - "name": "javascript", - "display_name": "JavaScript", - "language": "javascript" - }, - "toc-showcode": true - }, - "nbformat_minor": 4, - "nbformat": 4, - "cells": [ - { - "cell_type": "markdown", - "source": "# JavaScript in `JupyterLite`\n\n![](https://jupyterlite.readthedocs.io/en/latest/_static/kernelspecs/javascript.svg)", - "metadata": {} - }, - { - "cell_type": "markdown", - "source": "## Standard streams", - "metadata": {} - }, - { - "cell_type": "code", - "source": "console.log('hello world')", - "metadata": { - "trusted": true - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": "console.error('error')", - "metadata": { - "trusted": true - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": "## JavaScript specific constructs", - "metadata": {} - }, - { - "cell_type": "code", - "source": "const delay = 2000;\n\nsetTimeout(() => {\n console.log('done');\n}, delay);", - "metadata": { - "trusted": true - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": "var str = \"hello world\"\nstr.split('').forEach(c => {\n console.log(c)\n})", - "metadata": { - "trusted": true - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": "## Markdown cells", - "metadata": {} - }, - { - "cell_type": "markdown", - "source": "Lorenz system of differential equations\n\n$$\n\\begin{aligned}\n\\dot{x} & = \\sigma(y-x) \\\\\n\\dot{y} & = \\rho x - y - xz \\\\\n\\dot{z} & = -\\beta z + xy\n\\end{aligned}\n$$\n", - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/content/p5.ipynb b/content/p5.ipynb deleted file mode 100644 index 78be9cb..0000000 --- a/content/p5.ipynb +++ /dev/null @@ -1,150 +0,0 @@ -{ - "metadata":{ - "kernelspec":{ - "name":"p5js", - "display_name":"p5.js", - "language":"javascript" - }, - "language_info":{ - "codemirror_mode":{ - "name":"javascript" - }, - "file_extension":".js", - "mimetype":"text/javascript", - "name":"p5js", - "nbconvert_exporter":"javascript", - "pygments_lexer":"javascript", - "version":"es2017" - } - }, - "nbformat_minor":4, - "nbformat":4, - "cells":[ - { - "cell_type":"markdown", - "source":"# p5 notebook\n\nA minimal Jupyter notebook UI for [p5.js](https://p5js.org) kernels.", - "metadata":{ - - } - }, - { - "cell_type":"markdown", - "source":"First let's define a couple of variables:", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"var n = 4;\nvar speed = 1;", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"markdown", - "source":"## The `setup` function\n\nThe usual p5 setup function, which creates the canvas.", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"function setup () {\n createCanvas(innerWidth, innerHeight);\n rectMode(CENTER);\n}", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"markdown", - "source":"## The `draw` function\n\nFrom the [p5.js documentation](https://p5js.org/reference/#/p5/draw):\n\n> The `draw()` function continuously executes the lines of code contained inside its block until the program is stopped or `noLoop()` is called.", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"function draw() {\n background('#ddd');\n translate(innerWidth / 2, innerHeight / 2);\n for (let i = 0; i < n; i++) {\n push();\n rotate(frameCount * speed / 1000 * (i + 1));\n fill(i * 5, i * 100, i * 150);\n const s = 200 - i * 10;\n rect(0, 0, s, s);\n pop();\n }\n}", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"markdown", - "source":"## Show the sketch\n\nNow let's show the sketch by using the `%show` magic:", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"%show", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"markdown", - "source":"## Tweak the values\n\nWe can also tweak some values in real time:", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"speed = 3", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"code", - "source":"n = 20", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - }, - { - "cell_type":"markdown", - "source":"We can also show the sketch a second time taking into account the new values:", - "metadata":{ - - } - }, - { - "cell_type":"code", - "source":"%show", - "metadata":{ - "trusted":true - }, - "execution_count":null, - "outputs":[ - - ] - } - ] -} \ No newline at end of file diff --git a/content/pyodide/altair.ipynb b/content/pyodide/altair.ipynb deleted file mode 100644 index d7b8780..0000000 --- a/content/pyodide/altair.ipynb +++ /dev/null @@ -1,231 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Altair in `JupyterLite`\n", - "\n", - "**Altair** is a declarative statistical visualization library for Python.\n", - "\n", - "Most of the examples below are from: https://altair-viz.github.io/gallery" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import the dependencies:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%pip install -q altair" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Simple Bar Chart" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import altair as alt\n", - "import pandas as pd\n", - "\n", - "source = pd.DataFrame({\n", - " 'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n", - " 'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]\n", - "})\n", - "\n", - "alt.Chart(source).mark_bar().encode(\n", - " x='a',\n", - " y='b'\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Simple Heatmap" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import altair as alt\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "# Compute x^2 + y^2 across a 2D grid\n", - "x, y = np.meshgrid(range(-5, 5), range(-5, 5))\n", - "z = x ** 2 + y ** 2\n", - "\n", - "# Convert this grid to columnar data expected by Altair\n", - "source = pd.DataFrame({'x': x.ravel(),\n", - " 'y': y.ravel(),\n", - " 'z': z.ravel()})\n", - "\n", - "alt.Chart(source).mark_rect().encode(\n", - " x='x:O',\n", - " y='y:O',\n", - " color='z:Q'\n", - ")\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Install the Vega Dataset" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%pip install -q vega_datasets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Interactive Average" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import altair as alt\n", - "from vega_datasets import data\n", - "\n", - "source = data.seattle_weather()\n", - "brush = alt.selection(type='interval', encodings=['x'])\n", - "\n", - "bars = alt.Chart().mark_bar().encode(\n", - " x='month(date):O',\n", - " y='mean(precipitation):Q',\n", - " opacity=alt.condition(brush, alt.OpacityValue(1), alt.OpacityValue(0.7)),\n", - ").add_selection(\n", - " brush\n", - ")\n", - "\n", - "line = alt.Chart().mark_rule(color='firebrick').encode(\n", - " y='mean(precipitation):Q',\n", - " size=alt.SizeValue(3)\n", - ").transform_filter(\n", - " brush\n", - ")\n", - "\n", - "alt.layer(bars, line, data=source)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Locations of US Airports" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import altair as alt\n", - "from vega_datasets import data\n", - "\n", - "airports = data.airports.url\n", - "states = alt.topo_feature(data.us_10m.url, feature='states')\n", - "\n", - "# US states background\n", - "background = alt.Chart(states).mark_geoshape(\n", - " fill='lightgray',\n", - " stroke='white'\n", - ").properties(\n", - " width=500,\n", - " height=300\n", - ").project('albersUsa')\n", - "\n", - "# airport positions on background\n", - "points = alt.Chart(airports).transform_aggregate(\n", - " latitude='mean(latitude)',\n", - " longitude='mean(longitude)',\n", - " count='count()',\n", - " groupby=['state']\n", - ").mark_circle().encode(\n", - " longitude='longitude:Q',\n", - " latitude='latitude:Q',\n", - " size=alt.Size('count:Q', title='Number of Airports'),\n", - " color=alt.value('steelblue'),\n", - " tooltip=['state:N','count:Q']\n", - ").properties(\n", - " title='Number of airports in US'\n", - ")\n", - "\n", - "background + points\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/folium.ipynb b/content/pyodide/folium.ipynb deleted file mode 100644 index 2828de0..0000000 --- a/content/pyodide/folium.ipynb +++ /dev/null @@ -1,154 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# `folium` Interactive Map Demo\n", - "\n", - "Simple demonstration of rendering a map in a `jupyterlite` notebook.\n", - "\n", - "Note that the `folium` package has several dependencies which themselves may have dependencies.\n", - "\n", - "The following code fragement, run in a fresh Python enviroment into which `folium` has already been installed, identifies the packages that are loaded in when `folium` is loaded:\n", - "\n", - "```python\n", - "#https://stackoverflow.com/a/40381601/454773\n", - "import sys\n", - "before = [str(m) for m in sys.modules]\n", - "import folium\n", - "after = [str(m) for m in sys.modules]\n", - "set([m.split('.')[0] for m in after if not m in before and not m.startswith('_')])\n", - "```\n", - "\n", - "The loaded packages are:\n", - "\n", - "```\n", - "{'branca',\n", - " 'certifi',\n", - " 'chardet',\n", - " 'cmath',\n", - " 'csv',\n", - " 'dateutil',\n", - " 'encodings',\n", - " 'folium',\n", - " 'gzip',\n", - " 'http',\n", - " 'idna',\n", - " 'importlib',\n", - " 'jinja2',\n", - " 'markupsafe',\n", - " 'mmap',\n", - " 'numpy',\n", - " 'pandas',\n", - " 'pkg_resources',\n", - " 'pytz',\n", - " 'requests',\n", - " 'secrets',\n", - " 'stringprep',\n", - " 'urllib3',\n", - " 'zipfile'}\n", - " ```\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following packages seem to need installing in order load `folium`, along with folium itself:\n", - "\n", - "```\n", - "chardet, certifi, idna, branca, urllib3, Jinja2, requests, Markupsafe\n", - "```\n", - "\n", - "Universal wheels, with filenames of the form `PACKAGE-VERSION-py2.py3-none-any.whl` appearing in the *Download files* area of a PyPi package page ([example](https://pypi.org/project/requests/#files)] are required in order to install the package.\n", - "\n", - "One required package, [`Markupsafe`](https://pypi.org/project/Markupsafe/#files)) *did not* have a universal wheel available, so a wheel was manually built elsewhere (by hacking the [`setup.py` file](https://github.com/pallets/markupsafe/blob/main/setup.py) to force it to build the wheel in a platform and speedup free way) and pushed to a downloadable location in an [*ad hoc* wheelhouse](https://opencomputinglab.github.io/vce-wheelhouse/)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "# Install folium requirements\n", - "%pip install -q folium" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Demo of `folium` Map\n", - "\n", - "Load in the `folium` package:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import folium" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "And render a demo map:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "m = folium.Map(location=[50.693848, -1.304734], zoom_start=11)\n", - "m" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/interactive-widgets.ipynb b/content/pyodide/interactive-widgets.ipynb deleted file mode 100644 index 267273d..0000000 --- a/content/pyodide/interactive-widgets.ipynb +++ /dev/null @@ -1,268 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "9ca234f7-84b7-4107-9bcd-74f5a4ffd07d", - "metadata": {}, - "source": [ - "# `ipywidgets` Interactive Demo\n", - "\n", - "Simple demonstration of rendering Interactive widgets in a `jupyterlite` notebook.\n", - "\n", - "`ipywidgets` can be installed in this deployment (it provides the @jupyter-widgets/jupyterlab-manager federated extension), but you will need to make your own deployment to have access to other interactive widgets libraries." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d62fba6e", - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -q ipywidgets" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3bab23f8-de91-43c9-9cec-84f4924425fc", - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import IntSlider" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a15c5acb-ee72-4005-8761-5693db853f22", - "metadata": {}, - "outputs": [], - "source": [ - "slider = IntSlider()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8ba89682-e0d7-4bd2-961a-f9956850fd5a", - "metadata": {}, - "outputs": [], - "source": [ - "slider" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "50510ade-668f-4477-8cb2-41574609ac73", - "metadata": {}, - "outputs": [], - "source": [ - "slider" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7bac1ed8-8c77-426b-a781-1c1a6cfad829", - "metadata": {}, - "outputs": [], - "source": [ - "slider.value" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "976a70a0-e99d-4c20-b005-f59bbba10f85", - "metadata": {}, - "outputs": [], - "source": [ - "slider.value = 5" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3134c76e-cffb-4701-8230-e6c4bfbbfdb9", - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import IntText, link" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f7b3fe0a-5695-4ef2-a573-40785e68fbae", - "metadata": {}, - "outputs": [], - "source": [ - "text = IntText()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5e2fd50e-19e0-4e20-a1f7-ad65400ec636", - "metadata": {}, - "outputs": [], - "source": [ - "text" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bb3bedce-7311-48c0-aeab-8fe3aa554b92", - "metadata": {}, - "outputs": [], - "source": [ - "link((slider, 'value'), (text, 'value'));" - ] - }, - { - "cell_type": "markdown", - "id": "71b68c3e-184e-4320-9513-d0bc72800a85", - "metadata": {}, - "source": [ - "# `bqplot` Interactive Demo\n", - "\n", - "Plotting in JupyterLite\n", - "\n", - "`bqplot` can be installed in this deployment (it provides the bqplot federated extension), but you will need to make your own deployment to have access to other interactive widgets libraries." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "119eb9a3-ac98-42c3-98d4-1ac460eb75d3", - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -q bqplot" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "23b32857-2958-4083-b16a-ac26cd2408d4", - "metadata": {}, - "outputs": [], - "source": [ - "from bqplot import *\n", - "\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "np.random.seed(0)\n", - "\n", - "n = 100\n", - "\n", - "x = list(range(n))\n", - "y = np.cumsum(np.random.randn(n)) + 100.\n", - "\n", - "sc_x = LinearScale()\n", - "sc_y = LinearScale()\n", - "\n", - "lines = Lines(\n", - " x=x, y=y,\n", - " scales={'x': sc_x, 'y': sc_y}\n", - ")\n", - "ax_x = Axis(scale=sc_x, label='Index')\n", - "ax_y = Axis(scale=sc_y, orientation='vertical', label='lines')\n", - "\n", - "Figure(marks=[lines], axes=[ax_x, ax_y], title='Lines')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ddb6b44e-06a0-4049-a79d-33ffc90d5a03", - "metadata": {}, - "outputs": [], - "source": [ - "lines.colors = ['green']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e367e7fb-b403-41aa-9629-224827ec3005", - "metadata": {}, - "outputs": [], - "source": [ - "lines.fill = 'bottom'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d4a167f3-07c4-4880-92f5-7fcdea0c61c6", - "metadata": {}, - "outputs": [], - "source": [ - "lines.marker = 'circle'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d1342f7-ec08-4f53-84dc-d712226d9e46", - "metadata": {}, - "outputs": [], - "source": [ - "n = 100\n", - "\n", - "x = list(range(n))\n", - "y = np.cumsum(np.random.randn(n))\n", - "\n", - "sc_x = LinearScale()\n", - "sc_y = LinearScale()\n", - "\n", - "bars = Bars(\n", - " x=x, y=y,\n", - " scales={'x': sc_x, 'y': sc_y}\n", - ")\n", - "ax_x = Axis(scale=sc_x, label='Index')\n", - "ax_y = Axis(scale=sc_y, orientation='vertical', label='bars')\n", - "\n", - "Figure(marks=[bars], axes=[ax_x, ax_y], title='Bars', animation_duration=1000)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f86bbcfb-5b02-4700-b8d6-f90068893b55", - "metadata": {}, - "outputs": [], - "source": [ - "bars.y = np.cumsum(np.random.randn(n))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/ipycanvas.ipynb b/content/pyodide/ipycanvas.ipynb deleted file mode 100644 index 33e1b9a..0000000 --- a/content/pyodide/ipycanvas.ipynb +++ /dev/null @@ -1,178 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# ipycanvas: John Conway's Game Of Life" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some of the following code is adapted from https://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%pip install -q ipycanvas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import asyncio\n", - "\n", - "import numpy as np\n", - "\n", - "from ipycanvas import RoughCanvas, hold_canvas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "def life_step(x):\n", - " \"\"\"Game of life step\"\"\"\n", - " nbrs_count = sum(np.roll(np.roll(x, i, 0), j, 1)\n", - " for i in (-1, 0, 1) for j in (-1, 0, 1)\n", - " if (i != 0 or j != 0))\n", - " return (nbrs_count == 3) | (x & (nbrs_count == 2))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "def draw(x, canvas, color='black'):\n", - " with hold_canvas(canvas):\n", - " canvas.clear()\n", - " canvas.fill_style = '#FFF0C9'\n", - " canvas.rough_fill_style = 'solid'\n", - " canvas.fill_rect(-10, -10, canvas.width + 10, canvas.height + 10)\n", - " canvas.rough_fill_style = 'cross-hatch'\n", - "\n", - " canvas.fill_style = color\n", - " canvas.stroke_style = color\n", - "\n", - " living_cells = np.where(x)\n", - " \n", - " rects_x = living_cells[1] * n_pixels\n", - " rects_y = living_cells[0] * n_pixels\n", - "\n", - " canvas.fill_rects(rects_x, rects_y, n_pixels)\n", - " canvas.stroke_rects(rects_x, rects_y, n_pixels)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "glider_gun =\\\n", - "[[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0],\n", - " [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0],\n", - " [0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1],\n", - " [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1],\n", - " [1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\n", - " [1,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0],\n", - " [0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0],\n", - " [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],\n", - " [0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]]\n", - "\n", - "x = np.zeros((50, 70), dtype=bool)\n", - "x[1:10,1:37] = glider_gun" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "n_pixels = 15\n", - "\n", - "canvas = RoughCanvas(width=x.shape[1]*n_pixels, height=x.shape[0]*n_pixels)\n", - "canvas.fill_style = '#FFF0C9'\n", - "canvas.rough_fill_style = 'solid'\n", - "canvas.fill_rect(0, 0, canvas.width, canvas.height)\n", - "\n", - "canvas" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "draw(x, canvas, '#5770B3')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "for _ in range(300):\n", - " x = life_step(x)\n", - " draw(x, canvas, '#5770B3')\n", - "\n", - " await asyncio.sleep(0.1)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/ipyleaflet.ipynb b/content/pyodide/ipyleaflet.ipynb deleted file mode 100644 index 64dcff2..0000000 --- a/content/pyodide/ipyleaflet.ipynb +++ /dev/null @@ -1,259 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -q bqplot ipyleaflet" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "from urllib.request import urlopen\n", - "import json\n", - "from datetime import datetime\n", - "\n", - "import numpy as np\n", - "import pandas as pd\n", - "\n", - "from js import fetch\n", - "\n", - "from ipywidgets import Dropdown\n", - "\n", - "from bqplot import Lines, Figure, LinearScale, DateScale, Axis\n", - "\n", - "from ipyleaflet import Map, GeoJSON, WidgetControl" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "URL = \"https://raw.githubusercontent.com/jupyter-widgets/ipyleaflet/master/examples/nations.json\"\n", - "\n", - "res = await fetch(URL)\n", - "text = await res.text()\n", - "\n", - "data = pd.read_json(text)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def clean_data(data):\n", - " for column in ['income', 'lifeExpectancy', 'population']:\n", - " data = data.drop(data[data[column].apply(len) <= 4].index)\n", - " return data\n", - "\n", - "def extrap_interp(data):\n", - " data = np.array(data)\n", - " x_range = np.arange(1800, 2009, 1.)\n", - " y_range = np.interp(x_range, data[:, 0], data[:, 1])\n", - " return y_range\n", - "\n", - "def extrap_data(data):\n", - " for column in ['income', 'lifeExpectancy', 'population']:\n", - " data[column] = data[column].apply(extrap_interp)\n", - " return data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "data = clean_data(data)\n", - "data = extrap_data(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "date_start = datetime(1800, 12, 31)\n", - "date_end = datetime(2009, 12, 31)\n", - "\n", - "date_scale = DateScale(min=date_start, max=date_end)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "date_data = pd.date_range(start=date_start, end=date_end, freq='A', normalize=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "country_name = 'Angola'\n", - "data_name = 'income'\n", - "\n", - "x_data = data[data.name == country_name][data_name].values[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x_scale = LinearScale()\n", - "\n", - "lines = Lines(x=date_data, y=x_data, scales={'x': date_scale, 'y': x_scale})\n", - "\n", - "ax_x = Axis(label='Year', scale=date_scale, num_ticks=10, tick_format='%Y')\n", - "ax_y = Axis(label=data_name.capitalize(), scale=x_scale, orientation='vertical', side='left')\n", - "\n", - "figure = Figure(axes=[ax_x, ax_y], title=country_name, marks=[lines], animation_duration=500,\n", - " layout={'max_height': '250px', 'max_width': '400px'})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def update_figure(country_name, data_name):\n", - " try:\n", - " lines.y = data[data.name == country_name][data_name].values[0]\n", - " ax_y.label = data_name.capitalize()\n", - " figure.title = country_name\n", - " except IndexError:\n", - " pass" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "URL = \"https://raw.githubusercontent.com/jupyter-widgets/ipyleaflet/master/examples/countries.geo.json\"\n", - "\n", - "res = await fetch(URL)\n", - "text = await res.text()\n", - "\n", - "countries = json.loads(text)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "m = Map(zoom=3)\n", - "\n", - "geo = GeoJSON(data=countries, style={'fillColor': 'white', 'weight': 0.5}, hover_style={'fillColor': '#1f77b4'}, name='Countries')\n", - "m.add_layer(geo)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "widget_control1 = WidgetControl(widget=figure, position='bottomright')\n", - "\n", - "m.add_control(widget_control1)\n", - "\n", - "def on_hover(event, feature, **kwargs):\n", - " global country_name\n", - "\n", - " country_name = feature['properties']['name']\n", - " update_figure(country_name, data_name)\n", - "\n", - "geo.on_hover(on_hover)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dropdown = Dropdown(\n", - " options=['income', 'population', 'lifeExpectancy'],\n", - " value=data_name,\n", - " description='Plotting:'\n", - ")\n", - "\n", - "def on_click(change):\n", - " global data_name\n", - "\n", - " data_name = change['new']\n", - " update_figure(country_name, data_name)\n", - "\n", - "dropdown.observe(on_click, 'value')\n", - "\n", - "widget_control2 = WidgetControl(widget=dropdown, position='bottomleft')\n", - "\n", - "m.add_control(widget_control2)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "m" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/matplotlib.ipynb b/content/pyodide/matplotlib.ipynb deleted file mode 100644 index c2ec2be..0000000 --- a/content/pyodide/matplotlib.ipynb +++ /dev/null @@ -1,113 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "## Matplotlib" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "x = np.linspace(0, 10, 1000)\n", - "plt.plot(x, np.sin(x));" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "## Matplotlib: support for widgets backend" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -q ipympl" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib widget" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = np.linspace(0, 10, 1000)\n", - "plt.plot(x, np.sin(x))" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/plotly.ipynb b/content/pyodide/plotly.ipynb deleted file mode 100644 index 9716bee..0000000 --- a/content/pyodide/plotly.ipynb +++ /dev/null @@ -1,158 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Plotly in JupyterLite\n", - "\n", - "`plotly.py` is an interactive, open-source, and browser-based graphing library for Python: https://plotly.com/python/" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "%pip install -q nbformat plotly" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "## Basic Figure" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.graph_objects as go\n", - "fig = go.Figure()\n", - "fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))\n", - "fig.add_trace(go.Bar(y=[1, 4, 3, 2]))\n", - "fig.update_layout(title = 'Hello Figure')\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "## Basic Table with a Pandas DataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.graph_objects as go\n", - "import pandas as pd\n", - "\n", - "from js import fetch\n", - "\n", - "URL = \"https://raw.githubusercontent.com/plotly/datasets/master/2014_usa_states.csv\"\n", - "\n", - "res = await fetch(URL)\n", - "text = await res.text()\n", - "\n", - "filename = 'data.csv'\n", - "\n", - "with open(filename, 'w') as f:\n", - " f.write(text)\n", - "\n", - "df = pd.read_csv(filename)\n", - "\n", - "fig = go.Figure(data=[go.Table(\n", - " header=dict(values=list(df.columns),\n", - " fill_color='paleturquoise',\n", - " align='left'),\n", - " cells=dict(values=[df.Rank, df.State, df.Postal, df.Population],\n", - " fill_color='lavender',\n", - " align='left'))\n", - "])\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Quiver Plot with Points" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.figure_factory as ff\n", - "import plotly.graph_objects as go\n", - "\n", - "import numpy as np\n", - "\n", - "x,y = np.meshgrid(np.arange(-2, 2, .2),\n", - " np.arange(-2, 2, .25))\n", - "z = x*np.exp(-x**2 - y**2)\n", - "v, u = np.gradient(z, .2, .2)\n", - "\n", - "# Create quiver figure\n", - "fig = ff.create_quiver(x, y, u, v,\n", - " scale=.25,\n", - " arrow_scale=.4,\n", - " name='quiver',\n", - " line_width=1)\n", - "\n", - "# Add points to figure\n", - "fig.add_trace(go.Scatter(x=[-.7, .75], y=[0,0],\n", - " mode='markers',\n", - " marker_size=12,\n", - " name='points'))\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4, - "toc-showcode": false - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/pyb2d/0_tutorial.ipynb b/content/pyodide/pyb2d/0_tutorial.ipynb deleted file mode 100644 index 3772314..0000000 --- a/content/pyodide/pyb2d/0_tutorial.ipynb +++ /dev/null @@ -1,649 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "b07a3b47-2262-4135-a1d2-52e8392b44eb", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')\n" - ] - }, - { - "cell_type": "markdown", - "id": "49c3f9ea-23ce-4c5c-b3fe-44f1cecadf20", - "metadata": {}, - "source": [ - "pyb2d is imported as b2d" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dff93359-2c68-467a-9239-478a0e550a4b", - "metadata": {}, - "outputs": [], - "source": [ - "import b2d\n", - "# import pyb2d_jupyterlite_backend\n", - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "import numpy as np\n", - "import matplotlib.pylab as plt" - ] - }, - { - "cell_type": "markdown", - "id": "bc977c4e-75ee-4349-9408-650c3dcd01e0", - "metadata": {}, - "source": [ - "# Tutorial 0: A free falling body\n", - "The first step with Box2D is the creation of the world. The world is parametrized by a gravity vector." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4ff914a6-eb18-45a1-b1ed-e8ad7ab0d298", - "metadata": {}, - "outputs": [], - "source": [ - "# the world\n", - "gravity = (0, -10)\n", - "world = b2d.World(gravity)" - ] - }, - { - "cell_type": "markdown", - "id": "3afdbb2a-e694-4779-b95e-73a5b38d34b6", - "metadata": {}, - "source": [ - "Create a circle-shaped body" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "99837a63-4628-483c-8f2d-cc4aec9cb1d5", - "metadata": {}, - "outputs": [], - "source": [ - "# the body def\n", - "body_def = b2d.BodyDef()\n", - "body_def.type = b2d.BodyType.dynamic\n", - "body_def.position = (0, 0)\n", - "\n", - "# the body\n", - "body = world.create_body(body_def)\n", - "\n", - "# shape\n", - "circle_shape = b2d.CircleShape()\n", - "circle_shape.radius = 1.0\n", - "\n", - "# the fixture\n", - "fixture_def = b2d.FixtureDef()\n", - "fixture_def.shape = circle_shape\n", - "fixture_def.density = 1.0\n", - "\n", - "# create and add the fixture to the body\n", - "fixture = body.create_fixture(fixture_def)" - ] - }, - { - "cell_type": "markdown", - "id": "bf9758a6-fb6e-4f9c-b15f-783f9488cf7e", - "metadata": {}, - "source": [ - "We can now have a look at the world: We render the world st. each meter in the Box2D world will be 100 pixels in the image:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8b433892-3c82-43be-a085-eda3e4279b2c", - "metadata": {}, - "outputs": [], - "source": [ - "# from b2d.plot import render_world\n", - "b2d.plot.plot_world(world, ppm=100)" - ] - }, - { - "cell_type": "markdown", - "id": "5e1db1f1-6e47-454c-9ea9-86262d7da309", - "metadata": {}, - "source": [ - "Lets run the world for a total of 5 seconds. \n", - "Usually one wants to run the world at a certain frame rate.\n", - "With the frame rate and the total time we can compute the delta for each iteration and how many steps we need" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "41a232a9-a3c5-425d-9aed-d3adb90d6314", - "metadata": {}, - "outputs": [], - "source": [ - "t = 5\n", - "fps = 40\n", - "dt = 1.0 / fps\n", - "n_steps = int(t / dt + 0.5)\n", - "print(f\"t={t} fps={fps} dt={dt} n_steps={n_steps}\")" - ] - }, - { - "cell_type": "markdown", - "id": "4d458acb-6d5c-47ba-bcbf-d15ea2cf2537", - "metadata": {}, - "source": [ - "in each step we query the bodies position and velocity and store then for later plotting" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e042c7b-07a7-445f-ba04-e38173b46c0f", - "metadata": {}, - "outputs": [], - "source": [ - "positions = np.zeros([n_steps, 2])\n", - "velocites = np.zeros([n_steps, 2])\n", - "timepoints = np.zeros([n_steps])\n", - "\n", - "t_elapsed = 0.0\n", - "for i in range(n_steps):\n", - "\n", - " # get the bodies center of mass\n", - " positions[i, :] = body.world_center\n", - "\n", - " # get the bodies velocity\n", - " velocites[i, :] = body.linear_velocity\n", - "\n", - " timepoints[i] = t_elapsed\n", - "\n", - " world.step(time_step=dt, velocity_iterations=1, position_iterations=1)\n", - " t_elapsed += dt" - ] - }, - { - "cell_type": "markdown", - "id": "0ec7d66c-c979-40fa-8af3-9e99873ec105", - "metadata": {}, - "source": [ - "plot the y-position against the time. We can see that the body is falling down in an accelerating way:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "434cb907-1b76-414e-bb5e-6ea32dd1f829", - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(timepoints, positions[:, 1])\n", - "plt.ylabel('y-poistion [meter]')\n", - "plt.xlabel('t [sec]')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "b7f58954-4ea1-49f9-b0b0-7df38336860d", - "metadata": {}, - "source": [ - "as expected the x position is not changing since the gravity vector is non-zero only in the x direction" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39573eed-e6c8-45bf-8e35-4251b660ce3f", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "plt.plot(timepoints, positions[:, 0])\n", - "plt.ylabel('x-poistion [meter]')\n", - "plt.xlabel('t [sec]')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "cdb98dc5-3bc8-4933-91a0-a1db3afb9c34", - "metadata": {}, - "source": [ - "# Tutorial 1: A falling body in a box, more pythonic\n", - "Create a world, but in a more pythonic way, and animate the world" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d58c2639-21da-490b-8dcd-205962f63dfc", - "metadata": {}, - "outputs": [], - "source": [ - "# the world\n", - "world = b2d.world(gravity=(0, -10))\n", - "\n", - "# create the dynamic body\n", - "body = world.create_dynamic_body(\n", - " position=(5, 5),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=1), density=1, restitution=0.75),\n", - ")\n", - "\n", - "# create a box\n", - "box_shape = b2d.ChainShape()\n", - "box_shape.create_loop([(0, 0), (0, 10),(10,10),(10, 0)])\n", - "box = world.create_static_body(\n", - " position=(0, 0), fixtures=b2d.fixture_def(shape=box_shape, friction=0)\n", - ")\n", - "b2d.plot.animate_world(world, ppm=20, t=10)" - ] - }, - { - "cell_type": "markdown", - "id": "10dbb85a-84b0-4820-8fb3-6108d9c0fe00", - "metadata": {}, - "source": [ - "note that when we animate that world again, the body has already been fallen" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c919702c-7c62-4d87-bf1f-df5027d72a83", - "metadata": {}, - "outputs": [], - "source": [ - "b2d.plot.animate_world(world, ppm=20, t=2)" - ] - }, - { - "cell_type": "markdown", - "id": "7322e9c5-8608-4375-81ed-766cbb2af927", - "metadata": {}, - "source": [ - "# Tutorial 2: Interactive worlds\n", - "While animating the world already is already nice, interacting with the world is even better.\n", - "pyb2d has a framwork to interact with the world for multiple backends.\n", - "This framework is called `TestbedBase` since you can \"test\" your world in an interactive way" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "97cddd47-5a88-4cae-8543-cfcdf658255a", - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "\n", - "class InteractiveExample(TestbedBase):\n", - " def __init__(self, settings=None):\n", - " super(InteractiveExample, self).__init__(settings=settings)\n", - " # create two balls\n", - " body = self.world.create_dynamic_body(position=(5, 5),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=1), density=1, restitution=0.5),\n", - " )\n", - " body = self.world.create_dynamic_body(position=(8, 5),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=1), density=1, restitution=0.8),\n", - " )\n", - " # create a box\n", - " box_shape = b2d.ChainShape()\n", - " box_shape.create_loop([(0, 0), (0, 10),(10,10),(10, 0)])\n", - " box = self.world.create_static_body(\n", - " position=(0, 0), fixtures=b2d.fixture_def(shape=box_shape, friction=0)\n", - " )\n", - " \n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [300,300]\n", - "b2d.testbed.run(InteractiveExample, backend=JupyterAsyncGui, gui_settings=s);" - ] - }, - { - "cell_type": "markdown", - "id": "64bf55d1-4117-4af0-8f1f-65de33751743", - "metadata": { - "tags": [] - }, - "source": [ - "# Tutorial 3: Joints" - ] - }, - { - "cell_type": "markdown", - "id": "07147cab-23be-4406-85f7-4b3d174e3954", - "metadata": { - "tags": [] - }, - "source": [ - "## Tutorial 3.1: Prismatic Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9a2d178d-33d7-4c51-b0ff-f66c98cac673", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "anchor_body = world.create_static_body(position=(0, 0))\n", - "b = world.create_dynamic_body(\n", - " position=(10, 10),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[2, 0.5]), density=1),\n", - " linear_damping=0.0,\n", - " angular_damping=0.0,\n", - ")\n", - "world.create_prismatic_joint(anchor_body, b, local_axis_a=(1, 1))\n", - "b2d.plot.animate_world(world, ppm=20, t=3, bounding_box=((0,0),(10,10)))" - ] - }, - { - "cell_type": "markdown", - "id": "07971d69-b2ef-4d74-8c1c-48f38dcc708c", - "metadata": { - "tags": [] - }, - "source": [ - "## Tutorial 3.2: Pully Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39b7fef2-4b4b-4904-9899-1a34f1039693", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "\n", - "\n", - "a = world.create_dynamic_body(\n", - " position=(-5, 0),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[2, 0.8]), density=1),\n", - " linear_damping=0.0,\n", - " angular_damping=0.0,\n", - ")\n", - "b = world.create_dynamic_body(\n", - " position=(5, 0),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[2, 0.5]), density=1),\n", - " linear_damping=0.0,\n", - " angular_damping=0.0,\n", - ")\n", - "world.create_pully_joint(\n", - " a,\n", - " b,\n", - " length_a=10,\n", - " length_b=10,\n", - " ground_anchor_a=(-5, 10),\n", - " ground_anchor_b=(5, 10),\n", - " local_anchor_a=(0, 0),\n", - " local_anchor_b=(0, 0),\n", - ")\n", - "b2d.plot.animate_world(world, ppm=20, t=5, bounding_box=((-10,-12),(10,12)))" - ] - }, - { - "cell_type": "markdown", - "id": "7e8fb17d-1dda-45cb-98df-6b98be5b4e6c", - "metadata": {}, - "source": [ - "## Tutorial 3.3: Revolute Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2686e5f-3fa2-412d-8a40-2e9a67123d43", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "bodies = []\n", - "b = world.create_static_body(position=(0, 15))\n", - "bodies.append(b)\n", - "for i in range(5):\n", - " b = world.create_dynamic_body(\n", - " position=(i * 4 + 2, 15),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[2, 0.5]), density=1),\n", - " linear_damping=0.0,\n", - " angular_damping=0.0,\n", - " )\n", - " bodies.append(b)\n", - "world.create_revolute_joint(\n", - " bodies[0], bodies[1], local_anchor_a=(0, 0), local_anchor_b=(-2, 0.0)\n", - ")\n", - "for i in range(1, len(bodies) - 1):\n", - " a = bodies[i]\n", - " b = bodies[i + 1]\n", - " world.create_revolute_joint(a, b, local_anchor_a=(2, 0.0), local_anchor_b=(-2, 0.0))\n", - "b2d.plot.animate_world(world, ppm=20, t=5, bounding_box=((-20,-10),(20,20)))" - ] - }, - { - "cell_type": "markdown", - "id": "9caa18f0-4eb7-4e72-8445-8f6d096d9465", - "metadata": { - "tags": [] - }, - "source": [ - "## Tutorial 3.4: Weld Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3d74fb2f-7da5-4ad7-8f21-fba1f97acee2", - "metadata": {}, - "outputs": [], - "source": [ - "# the world\n", - "world = b2d.world(gravity=(0, -10))\n", - "\n", - "\n", - "bodies = []\n", - "\n", - "# create a static body as anchor\n", - "b = world.create_static_body(\n", - " position=(0, 4), fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[0.3, 0.5]))\n", - ")\n", - "bodies.append(b)\n", - "\n", - "for i in range(4):\n", - " b = world.create_dynamic_body(\n", - " position=(i + 1.0, 4),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[0.3, 0.5]), density=0.1),\n", - " linear_damping=2.5,\n", - " angular_damping=2.5,\n", - " )\n", - " bodies.append(b)\n", - "\n", - "for i in range(len(bodies) - 1):\n", - " a = bodies[i]\n", - " b = bodies[i + 1]\n", - " world.create_weld_joint(\n", - " a,\n", - " b,\n", - " local_anchor_a=(0.5, 0.5),\n", - " local_anchor_b=(-0.5, 0.5),\n", - " damping=0.1,\n", - " reference_angle=0,\n", - " stiffness=20,\n", - " )\n", - " world.create_weld_joint(\n", - " a,\n", - " b,\n", - " local_anchor_a=(0.5, -0.5),\n", - " local_anchor_b=(-0.5, -0.5),\n", - " damping=0.1,\n", - " reference_angle=0,\n", - " stiffness=20,\n", - " )\n", - "b2d.plot.animate_world(world, ppm=20, t=5, bounding_box=((0,-5),(5,5)))" - ] - }, - { - "cell_type": "markdown", - "id": "7373461e-d1fa-4ad9-aeaa-048287839fd9", - "metadata": {}, - "source": [ - "## Tutorial 3.5: Wheel Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1eb711e0-ae53-43ed-b0c1-c0a2fe42b407", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "edge = world.create_static_body(\n", - " position=(0, 0), fixtures=b2d.fixture_def(shape=b2d.edge_shape([(-20, 0), (5, 0)]))\n", - ")\n", - "\n", - "# random slope\n", - "x = np.linspace(5, 50, 10)\n", - "y = np.random.rand(10) * 4 - 2\n", - "y[0] = 0\n", - "xy = np.stack([x, y]).T\n", - "xy = np.flip(xy, axis=0)\n", - "edge = world.create_static_body(\n", - " position=(0, 0),\n", - " fixtures=b2d.fixture_def(shape=b2d.chain_shape(xy, prev_vertex=(10, 0))),\n", - ")\n", - "# create car\n", - "left_wheel = world.create_dynamic_body(\n", - " position=(-3, 2),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=2), density=1),\n", - ")\n", - "right_wheel = world.create_dynamic_body(\n", - " position=(3, 2),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=2), density=1),\n", - ")\n", - "\n", - "chasis = world.create_dynamic_body(\n", - " position=(0, 2),\n", - " fixtures=b2d.fixture_def(shape=b2d.polygon_shape(box=[3, 0.5]), density=1),\n", - ")\n", - "\n", - "wheel_joint_def = dict(\n", - " stiffness=10,\n", - " enable_motor=True,\n", - " motor_speed=-100,\n", - " max_motor_torque=100,\n", - " collide_connected=False,\n", - " enable_limit=True,\n", - " lower_translation=-0.4,\n", - " upper_translation=0.4,\n", - " local_axis_a=(0, 1),\n", - ")\n", - "world.create_wheel_joint(chasis, left_wheel, local_anchor_a=(-3, 0), **wheel_joint_def)\n", - "world.create_wheel_joint(chasis, right_wheel, local_anchor_a=(3, 0), **wheel_joint_def)\n", - "\n", - "\n", - "b2d.plot.animate_world(world, ppm=20, t=15, bounding_box=((-10,-5),(20,5)))" - ] - }, - { - "cell_type": "markdown", - "id": "d9a0fffc-ae40-47ec-b185-2a6fe0dde496", - "metadata": {}, - "source": [ - "## Tutorial 3.6: Distance Joint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3c121398-f08f-4ea0-a875-de141ba53508", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "\n", - "for i in range(10):\n", - "\n", - " # create static anchor (does not need shape/fixture)\n", - " anchor = world.create_static_body(position=(i, 0))\n", - "\n", - " # 5 below the anchor\n", - " body = world.create_dynamic_body(\n", - " position=(i, -10),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=0.4), density=0.5),\n", - " )\n", - "\n", - " # distance joints of various stiffness-es\n", - " world.create_distance_joint(anchor, body, length=10, stiffness=0.5 * (i + 1))\n", - "\n", - "b2d.plot.animate_world(world, ppm=20, t=10, bounding_box=((-2,-20),(10,0)))" - ] - }, - { - "cell_type": "markdown", - "id": "fb6afaff-8236-4206-85c7-3ba2de466ba9", - "metadata": {}, - "source": [ - "# Tutorial 4: Particles" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8f5c3b83-51d9-47cb-9b73-d5f8b0e03a76", - "metadata": {}, - "outputs": [], - "source": [ - "world = b2d.world(gravity=(0, -10))\n", - "pdef = b2d.particle_system_def(radius=0.1)\n", - "psystem = world.create_particle_system(pdef)\n", - "\n", - "emitter_pos = (0, 0)\n", - "emitter_def = b2d.RandomizedLinearEmitterDef()\n", - "emitter_def.emite_rate = 400\n", - "emitter_def.lifetime = 5.1\n", - "emitter_def.size = (2, 1)\n", - "emitter_def.velocity = (6, 20)\n", - "emitter = b2d.RandomizedLinearEmitter(psystem, emitter_def)\n", - "b2d.plot.animate_world(world, ppm=20, t=10, bounding_box=((-10,-20),(20,5)), pre_step=emitter.step)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ea9d7882-d3a4-45bb-b59b-cb1c9cd33990", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/pyb2d/color_mixing.ipynb b/content/pyodide/pyb2d/color_mixing.ipynb deleted file mode 100644 index 9dc274c..0000000 --- a/content/pyodide/pyb2d/color_mixing.ipynb +++ /dev/null @@ -1,123 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "import random\n", - "import numpy\n", - "import b2d\n", - "\n", - "class ColorMixing(TestbedBase):\n", - "\n", - " name = \"ColorMixing\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(ColorMixing, self).__init__(settings=settings)\n", - " dimensions = [30, 30]\n", - "\n", - " # the outer box\n", - " box_shape = b2d.ChainShape()\n", - " box_shape.create_loop(\n", - " [\n", - " (0, 0),\n", - " (0, dimensions[1]),\n", - " (dimensions[0], dimensions[1]),\n", - " (dimensions[0], 0),\n", - " ]\n", - " )\n", - " box = self.world.create_static_body(position=(0, 0), shape=box_shape)\n", - "\n", - " fixtureA = b2d.fixture_def(\n", - " shape=b2d.circle_shape(1), density=2.2, friction=0.2, restitution=0.5\n", - " )\n", - " body = self.world.create_dynamic_body(position=(13, 10), fixtures=fixtureA)\n", - "\n", - " pdef = b2d.particle_system_def(\n", - " viscous_strength=0.9,\n", - " spring_strength=0.0,\n", - " damping_strength=0.5,\n", - " pressure_strength=0.5,\n", - " color_mixing_strength=0.008,\n", - " density=2,\n", - " )\n", - " psystem = self.world.create_particle_system(pdef)\n", - " psystem.radius = 0.3\n", - " psystem.damping = 1.0\n", - "\n", - " colors = [\n", - " (255, 0, 0, 255),\n", - " (0, 255, 0, 255),\n", - " (0, 0, 255, 255),\n", - " (255, 255, 0, 255),\n", - " ]\n", - " posiitons = [(6, 10), (20, 10), (20, 20), (6, 20)]\n", - " for color, pos in zip(colors, posiitons):\n", - "\n", - " shape = b2d.polygon_shape(box=(5, 5), center=pos, angle=0)\n", - " pgDef = b2d.particle_group_def(\n", - " flags=b2d.ParticleFlag.waterParticle\n", - " | b2d.ParticleFlag.colorMixingParticle,\n", - " # group_flags=b2d.ParticleGroupFlag.solidParticleGroup,\n", - " shape=shape,\n", - " strength=1.0,\n", - " color=color,\n", - " )\n", - " group = psystem.create_particle_group(pgDef)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [1000,500]\n", - "s.scale = 8\n", - "s.fps = 40\n", - "\n", - "tb = b2d.testbed.run(ColorMixing, backend=JupyterAsyncGui, gui_settings=s)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/pyb2d/games/angry_shapes.ipynb b/content/pyodide/pyb2d/games/angry_shapes.ipynb deleted file mode 100644 index cb199ef..0000000 --- a/content/pyodide/pyb2d/games/angry_shapes.ipynb +++ /dev/null @@ -1,419 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "2859de40-f927-4790-b192-c5b0531058f7", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8ac3e93b-3e9e-4cd7-a183-0214b0dcb513", - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "import math\n", - "import numpy\n", - "import b2d\n", - "\n", - "class AngryShapes(TestbedBase):\n", - "\n", - " name = \"AngryShapes\"\n", - "\n", - " class Settings(TestbedBase.Settings):\n", - " substeps: int = 2\n", - "\n", - " def draw_segment(self, p1, p2, color, line_width=1):\n", - " screen_p1 = self._point(self.world_to_screen(p1))\n", - " screen_p2 = self._point(self.world_to_screen(p2))\n", - " screen_color = self._uint8_color(color)\n", - " screen_line_width = self._line_width(line_width)\n", - "\n", - " cv.line(self._image, screen_p1, screen_p2, screen_color, screen_line_width)\n", - "\n", - " def draw_polygon(self, vertices, color, line_width=1):\n", - " # todo add C++ function for this\n", - " screen_vertices = numpy.array(\n", - " [self._point(self.world_to_screen(v)) for v in vertices], dtype=\"int32\"\n", - " )\n", - " screen_color = self._uint8_color(color)\n", - " screen_line_width = self._line_width(line_width)\n", - "\n", - " cv.polylines(\n", - " self._image, [screen_vertices], True, screen_color, screen_line_width, 8\n", - " )\n", - "\n", - " def draw_solid_polygon(self, vertices, color):\n", - " # todo add C++ function for this\n", - " screen_vertices = numpy.array(\n", - " [self._point(self.world_to_screen(v)) for v in vertices], dtype=\"int32\"\n", - " )\n", - " screen_color = self._uint8_color(color)\n", - "\n", - " cv.fillPoly(self._image, [screen_vertices], screen_color, 8)\n", - "\n", - " def __init__(self, settings=None):\n", - " super(AngryShapes, self).__init__(settings=settings)\n", - "\n", - " self.targets = []\n", - " self.projectiles = []\n", - " self.marked_for_destruction = []\n", - " self.emitter = None\n", - "\n", - " # particle system\n", - " pdef = b2d.particle_system_def(\n", - " viscous_strength=0.9,\n", - " spring_strength=0.0,\n", - " damping_strength=100.5,\n", - " pressure_strength=1.0,\n", - " color_mixing_strength=0.05,\n", - " density=0.1,\n", - " )\n", - "\n", - " self.psystem = self.world.create_particle_system(pdef)\n", - " self.psystem.radius = 1\n", - " self.psystem.damping = 0.5\n", - "\n", - " self.build_outer_box()\n", - " self.build_castle()\n", - " self.build_launcher()\n", - " self.arm_launcher()\n", - " self.build_explosives()\n", - "\n", - " def build_outer_box(self):\n", - " # the outer box\n", - "\n", - " shape = b2d.edge_shape([(100, 0), (600, 0)])\n", - " box = self.world.create_static_body(\n", - " position=(0, 0), fixtures=b2d.fixture_def(shape=shape, friction=1)\n", - " )\n", - "\n", - " def build_target(self, pos):\n", - " t = self.world.create_dynamic_body(\n", - " position=pos,\n", - " fixtures=[\n", - " b2d.fixture_def(shape=b2d.circle_shape(radius=4), density=1.0),\n", - " b2d.fixture_def(\n", - " shape=b2d.circle_shape(radius=2, pos=(3, 3)), density=1.0\n", - " ),\n", - " b2d.fixture_def(\n", - " shape=b2d.circle_shape(radius=2, pos=(-3, 3)), density=1.0\n", - " ),\n", - " ],\n", - " linear_damping=0,\n", - " angular_damping=0,\n", - " user_data=\"target\",\n", - " )\n", - " self.targets.append(t)\n", - "\n", - " def build_castle(self):\n", - " def build_pyramid(offset, bar_shape, n):\n", - " def build_brick(pos, size):\n", - " hsize = [s / 2 for s in size]\n", - " self.world.create_dynamic_body(\n", - " position=(\n", - " pos[0] + hsize[0] + offset[0],\n", - " pos[1] + hsize[1] + offset[1],\n", - " ),\n", - " fixtures=b2d.fixture_def(\n", - " shape=b2d.polygon_shape(box=hsize), density=8\n", - " ),\n", - " user_data=\"brick\",\n", - " )\n", - "\n", - " bar_length = bar_shape[0]\n", - " bar_width = bar_shape[1]\n", - "\n", - " nxm = n\n", - " for y in range(nxm):\n", - " py = y * (bar_length + bar_width)\n", - " nx = nxm - y\n", - " for x in range(nx):\n", - " px = x * bar_length + y * (bar_length) / 2.0\n", - " if y + 1 < nxm - 1:\n", - " if x == 0:\n", - " px += bar_width / 2\n", - " if x + 1 == nx:\n", - " px -= bar_width / 2\n", - "\n", - " build_brick((px, py), (bar_width, bar_length))\n", - " if x < nx - 1:\n", - " self.build_target(\n", - " pos=(\n", - " px + offset[0] + bar_length / 2,\n", - " py + offset[1] + bar_width,\n", - " )\n", - " )\n", - " build_brick(\n", - " (px + bar_width / 2, py + bar_length),\n", - " (bar_length, bar_width),\n", - " )\n", - "\n", - " build_pyramid(offset=(100, 0), bar_shape=[40, 4], n=4)\n", - " build_pyramid(offset=(400, 0), bar_shape=[30, 3], n=4)\n", - "\n", - " def build_launcher(self):\n", - "\n", - " self.launcher_anchor_pos = (30, 0)\n", - " self.launcher_anchor = self.world.create_static_body(\n", - " position=self.launcher_anchor_pos\n", - " )\n", - "\n", - " def arm_launcher(self):\n", - " self.reload_time = None\n", - " self.is_armed = True\n", - " self.projectile_radius = 3\n", - " projectile_pos = (self.launcher_anchor_pos[0], self.launcher_anchor_pos[1] / 2)\n", - "\n", - " self.projectile = self.world.create_dynamic_body(\n", - " position=projectile_pos,\n", - " fixtures=b2d.fixture_def(\n", - " shape=b2d.circle_shape(radius=self.projectile_radius), density=100.0\n", - " ),\n", - " linear_damping=0,\n", - " angular_damping=0,\n", - " user_data=\"projectile\",\n", - " )\n", - " self.projectiles.append(self.projectile)\n", - " self.projectile_joint = self.world.create_distance_joint(\n", - " self.launcher_anchor, self.projectile, length=1, stiffness=10000\n", - " )\n", - " self.mouse_joint = None\n", - "\n", - " def build_explosives(self):\n", - " self.explosives = []\n", - "\n", - " def on_mouse_down(self, p):\n", - " if self.is_armed:\n", - " body = self.world.find_body(pos=p)\n", - " if body is not None and body.user_data is not None:\n", - " print(\"got body\")\n", - " if body.user_data == \"projectile\":\n", - " print(\"got projectile\")\n", - " kwargs = dict(\n", - " body_a=self.groundbody,\n", - " body_b=body,\n", - " target=p,\n", - " max_force=50000.0 * body.mass,\n", - " stiffness=10000.0,\n", - " )\n", - "\n", - " self.mouse_joint = self.world.create_mouse_joint(**kwargs)\n", - " body.awake = True\n", - " return True\n", - "\n", - " return False\n", - "\n", - " def on_mouse_move(self, p):\n", - " if self.is_armed:\n", - " if self.mouse_joint is not None:\n", - " self.mouse_joint.target = p\n", - " return True\n", - " return False\n", - "\n", - " def on_mouse_up(self, p):\n", - " if self.is_armed:\n", - " if self.mouse_joint is not None:\n", - " self.world.destroy_joint(self.mouse_joint)\n", - " if self.projectile_joint is not None:\n", - " self.world.destroy_joint(self.projectile_joint)\n", - " self.projectile_joint = None\n", - " self.mouse_joint = None\n", - " delta = self.launcher_anchor.position - b2d.vec2(p)\n", - " scaled_delta = delta * 50000.0\n", - " print(scaled_delta)\n", - "\n", - " self.projectile.apply_linear_impulse_to_center(scaled_delta, True)\n", - " self.reload_time = self.elapsed_time + 1.0\n", - " self.is_armed = False\n", - " return False\n", - "\n", - " def begin_contact(self, contact):\n", - " body_a = contact.body_a\n", - " body_b = contact.body_b\n", - " ud_a = body_a.user_data\n", - " ud_b = body_b.user_data\n", - " if ud_b == \"projectile\":\n", - " body_a, body_b = body_b, body_a\n", - " ud_a, ud_b = ud_b, ud_a\n", - " if ud_a == \"projectile\":\n", - "\n", - " if ud_b == \"target\" or ud_b == \"brick\":\n", - " self.marked_for_destruction.append(body_a)\n", - " emitter_def = b2d.RandomizedRadialEmitterDef()\n", - " emitter_def.emite_rate = 20000\n", - " emitter_def.lifetime = 0.7\n", - " emitter_def.enabled = True\n", - " emitter_def.inner_radius = 0.0\n", - " emitter_def.outer_radius = 1.0\n", - " emitter_def.velocity_magnitude = 1000.0\n", - " emitter_def.start_angle = 0\n", - " emitter_def.stop_angle = math.pi\n", - " emitter_def.transform = b2d.Transform(body_a.position, b2d.Rot(0))\n", - " self.emitter = b2d.RandomizedRadialEmitter(self.psystem, emitter_def)\n", - " self.emitter_die_time = self.elapsed_time + 0.02\n", - "\n", - " def pre_step(self, dt):\n", - "\n", - " if self.reload_time is not None:\n", - " if self.elapsed_time >= self.reload_time:\n", - " self.arm_launcher()\n", - "\n", - " # delete contact bodies\n", - " for body in self.marked_for_destruction:\n", - " if body in self.projectiles:\n", - " self.projectiles.remove(body)\n", - " self.world.destroy_body(body)\n", - " if body == self.projectile:\n", - " self.reload_time = self.elapsed_time + 1.0\n", - " self.marked_for_destruction = []\n", - "\n", - " # delete bodies which have fallen down\n", - " for body in self.world.bodies:\n", - " if body.position.y < -100:\n", - " if body.user_data == \"projectile\":\n", - " self.projectiles.remove(body)\n", - " if body.user_data == \"target\":\n", - " self.targets.remove(body)\n", - " self.world.destroy_body(body)\n", - "\n", - " # emmiter\n", - " if self.emitter is not None:\n", - " self.emitter.step(dt)\n", - " if self.elapsed_time >= self.emitter_die_time:\n", - " self.emitter = None\n", - "\n", - " def draw_target(self, target):\n", - " center = target.position\n", - " center_l = target.get_world_point((-3, 3))\n", - " center_r = target.get_world_point((3, 3))\n", - " eye_left = target.get_world_point((-1, 1))\n", - " eye_right = target.get_world_point((1, 1))\n", - " pink = [c / 255 for c in (248, 24, 148)]\n", - "\n", - " self.debug_draw.draw_solid_circle(\n", - " center=center, radius=4, axis=None, color=pink\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " center=center_l, radius=2, axis=None, color=pink\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " center=center_r, radius=2, axis=None, color=pink\n", - " )\n", - "\n", - " # schnautze\n", - " nose_center = target.get_world_point((0, -1))\n", - " nose_center_l = target.get_world_point((-0.3, -1))\n", - " nose_center_r = target.get_world_point((0.3, -1))\n", - "\n", - " self.debug_draw.draw_circle(\n", - " center=nose_center,\n", - " radius=2,\n", - " # axis=None,\n", - " color=(1, 1, 1),\n", - " line_width=0.2,\n", - " )\n", - " # eyes\n", - " for nose_center in [nose_center_l, nose_center_r]:\n", - " self.debug_draw.draw_solid_circle(\n", - " center=nose_center, radius=0.6, axis=None, color=(1, 1, 1)\n", - " )\n", - " # eyes\n", - " for eye_center in [eye_left, eye_right]:\n", - " self.debug_draw.draw_solid_circle(\n", - " center=eye_center, radius=1, axis=None, color=(1, 1, 1)\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " center=eye_center, radius=0.7, axis=None, color=(0, 0, 0)\n", - " )\n", - "\n", - " def draw_projectile(self, projectile):\n", - "\n", - " center = projectile.position\n", - " # center_l = target.get_world_point((-3,3))\n", - " # center_r = target.get_world_point(( 3,3))\n", - " eye_left = projectile.get_world_point((-1, 1))\n", - " eye_right = projectile.get_world_point((1, 1))\n", - "\n", - " self.debug_draw.draw_solid_circle(\n", - " center=center,\n", - " radius=self.projectile_radius * 1.1,\n", - " axis=None,\n", - " color=(1, 0, 0),\n", - " )\n", - "\n", - " # eyes\n", - " for eye_center in [eye_left, eye_right]:\n", - " self.debug_draw.draw_solid_circle(\n", - " center=eye_center, radius=1, axis=None, color=(1, 1, 1)\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " center=eye_center, radius=0.7, axis=None, color=(0, 0, 0)\n", - " )\n", - "\n", - " def post_debug_draw(self):\n", - " for target in self.targets:\n", - " self.draw_target(target)\n", - "\n", - " for projectile in self.projectiles:\n", - " self.draw_projectile(projectile)" - ] - }, - { - "cell_type": "markdown", - "id": "6df7c8b9-216b-4fd2-8ee8-aeec294e149d", - "metadata": {}, - "source": [ - "# Controlls\n", - "* To play this game, click and drag the red ball and release it to shot it.\n", - "* Use the mouse-wheel to zoom in/out, a\n", - "* Click and drag in the empty space to translate the view." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "df412e76-7a9a-4e1d-8bc7-c02e222e10dc", - "metadata": {}, - "outputs": [], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [1000,500]\n", - "s.scale = 2\n", - "s.translate = [100,100]\n", - "tb = b2d.testbed.run(AngryShapes, backend=JupyterAsyncGui, gui_settings=s);" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/pyb2d/games/billiard.ipynb b/content/pyodide/pyb2d/games/billiard.ipynb deleted file mode 100644 index 13fff3a..0000000 --- a/content/pyodide/pyb2d/games/billiard.ipynb +++ /dev/null @@ -1,299 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy\n", - "import b2d\n", - "import math\n", - "import random\n", - "\n", - "from b2d.testbed import TestbedBase\n", - "\n", - "class Billiard(TestbedBase):\n", - "\n", - " name = \"Billiard\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(Billiard, self).__init__(gravity=(0, 0), settings=settings)\n", - " dimensions = [30, 50]\n", - " self.dimensions = dimensions\n", - "\n", - " # the outer box\n", - " box_shape = b2d.ChainShape()\n", - " box_shape.create_loop(\n", - " [\n", - " (0, 0),\n", - " (0, dimensions[1]),\n", - " (dimensions[0], dimensions[1]),\n", - " (dimensions[0], 0),\n", - " ]\n", - " )\n", - " self.ball_radius = 1\n", - " box = self.world.create_static_body(\n", - " position=(0, 0), fixtures=b2d.fixture_def(shape=box_shape, friction=0)\n", - " )\n", - "\n", - " self.place_balls()\n", - " self.place_pockets()\n", - "\n", - " # mouse interaction\n", - " self._selected_ball = None\n", - " self._selected_ball_pos = None\n", - " self._last_pos = None\n", - "\n", - " # balls to be destroyed in the next step\n", - " # since they are in the pocket\n", - " self._to_be_destroyed = []\n", - "\n", - " def place_pockets(self):\n", - " pocket_radius = 1\n", - " self.pockets = []\n", - "\n", - " def place_pocket(position):\n", - " pocket_shape = b2d.circle_shape(radius=pocket_radius / 3)\n", - " pocket = self.world.create_static_body(\n", - " position=position,\n", - " fixtures=b2d.fixture_def(shape=pocket_shape, is_sensor=True),\n", - " user_data=(\"pocket\", None),\n", - " )\n", - " self.pockets.append(pocket)\n", - "\n", - " d = pocket_radius / 2\n", - "\n", - " place_pocket(position=(0 + d, 0 + d))\n", - " place_pocket(position=(self.dimensions[0] - d, 0 + d))\n", - "\n", - " place_pocket(position=(0 + d, self.dimensions[1] / 2))\n", - " place_pocket(position=(self.dimensions[0] - d, self.dimensions[1] / 2))\n", - "\n", - " place_pocket(position=(0 + d, self.dimensions[1] - d))\n", - " place_pocket(position=(self.dimensions[0] - d, self.dimensions[1] - d))\n", - "\n", - " def place_balls(self):\n", - " self.balls = []\n", - "\n", - " base_colors = [\n", - " (1, 1, 0),\n", - " (0, 0, 1),\n", - " (1, 0, 0),\n", - " (1, 0, 1),\n", - " (1, 0.6, 0),\n", - " (0, 1, 0),\n", - " (0.7, 0.4, 0.4),\n", - " ]\n", - " colors = []\n", - " for color in base_colors:\n", - " # ``full`` ball\n", - " colors.append((color, color))\n", - " # ``half`` ball (half white)\n", - " colors.append((color, (1, 1, 1)))\n", - "\n", - " random.shuffle(colors)\n", - " colors.insert(4, ((0, 0, 0), (0, 0, 0))) # black\n", - "\n", - " n_y = 5\n", - " c_x = self.dimensions[0] / 2\n", - " diameter = (self.ball_radius * 2) * 1.01\n", - "\n", - " bi = 0\n", - " for y in range(n_y):\n", - "\n", - " py = y * diameter * 0.5 * math.sqrt(3)\n", - " n_x = y + 1\n", - " ox = diameter * (n_y - y) / 2\n", - " for x in range(y + 1):\n", - " position = (x * diameter + 10 + ox, py + 30)\n", - " self.create_billard_ball(position=position, color=colors[bi])\n", - " bi += 1\n", - "\n", - " self.create_billard_ball(position=(c_x, 10), color=((1, 1, 1), (1, 1, 1)))\n", - "\n", - " def create_billard_ball(self, position, color):\n", - "\n", - " ball = self.world.create_dynamic_body(\n", - " position=position,\n", - " fixtures=b2d.fixture_def(\n", - " shape=b2d.circle_shape(radius=self.ball_radius),\n", - " density=1.0,\n", - " restitution=0.8,\n", - " ),\n", - " linear_damping=0.8,\n", - " user_data=(\"ball\", color),\n", - " fixed_rotation=True,\n", - " )\n", - " self.balls.append(ball)\n", - "\n", - " def begin_contact(self, contact):\n", - " body_a = contact.body_a\n", - " body_b = contact.body_b\n", - "\n", - " ud_a = body_a.user_data\n", - " ud_b = body_b.user_data\n", - " if ud_a is None or ud_b is None:\n", - " return\n", - "\n", - " if ud_b[0] == \"ball\":\n", - " body_a, body_b = body_b, body_a\n", - " ud_a, ud_b = ud_b, ud_a\n", - "\n", - " if ud_a[0] == \"ball\" and ud_b[0] == \"pocket\":\n", - " self._to_be_destroyed.append(body_a)\n", - "\n", - " def pre_step(self, dt):\n", - " for b in self._to_be_destroyed:\n", - " self.balls.remove(b)\n", - " self.world.destroy_body(b)\n", - " self._to_be_destroyed = []\n", - "\n", - " def ball_at_position(self, pos):\n", - " body = self.world.find_body(pos)\n", - " if body is not None:\n", - " user_data = body.user_data\n", - " if user_data is not None and user_data[0] == \"ball\":\n", - " return body\n", - " return None\n", - "\n", - " def on_mouse_down(self, pos):\n", - " body = self.ball_at_position(pos)\n", - " if body is not None:\n", - " self._selected_ball = body\n", - " self._selected_ball_pos = pos\n", - " return True\n", - "\n", - " return False\n", - "\n", - " def on_mouse_move(self, pos):\n", - " if self._selected_ball is not None:\n", - " self._last_pos = pos\n", - " return True\n", - " return False\n", - "\n", - " def on_mouse_up(self, pos):\n", - " if self._selected_ball is not None:\n", - " self._last_pos = pos\n", - " # if the mouse is in the starting ball itself we do nothing\n", - " if self.ball_at_position(pos) != self._selected_ball:\n", - " delta = b2d.vec2(self._selected_ball_pos) - b2d.vec2(self._last_pos)\n", - " delta *= 100.0\n", - " self._selected_ball.apply_linear_impulse(\n", - " delta, self._selected_ball_pos, True\n", - " )\n", - " self._selected_ball = None\n", - " self._selected_ball_pos = None\n", - " self._last_pos = None\n", - " return False\n", - "\n", - " def post_debug_draw(self):\n", - "\n", - " for pocket in self.pockets:\n", - " self.debug_draw.draw_solid_circle(\n", - " pocket.position, self.ball_radius, (1, 0), (1, 1, 1)\n", - " )\n", - "\n", - " for ball in self.balls:\n", - " _, (color0, color1) = ball.user_data\n", - "\n", - " self.debug_draw.draw_solid_circle(\n", - " ball.position, self.ball_radius, (1, 0), color0\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " ball.position, self.ball_radius / 2, (1, 0), color1\n", - " )\n", - " self.debug_draw.draw_circle(\n", - " ball.position, self.ball_radius, (1, 1, 1), line_width=0.1\n", - " )\n", - "\n", - " if self._selected_ball is not None:\n", - "\n", - " # draw circle around selected ball\n", - " self.debug_draw.draw_circle(\n", - " self._selected_ball.position,\n", - " self.ball_radius * 2,\n", - " (1, 1, 1),\n", - " line_width=0.2,\n", - " )\n", - "\n", - " # mark position on selected ball with red dot\n", - " self.debug_draw.draw_solid_circle(\n", - " self._selected_ball_pos, self.ball_radius * 0.2, (1, 0), (1, 0, 0)\n", - " )\n", - "\n", - " # draw the line between marked pos on ball and last pos\n", - " if self._last_pos is not None:\n", - " self.debug_draw.draw_segment(\n", - " self._selected_ball_pos, self._last_pos, (1, 1, 1), line_width=0.2\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Controlls\n", - "* To play this game, click and hold inside a billiard ball, move and release the mouse to shoot the ball.\n", - "* Use the mouse-wheel to zoom in/out, a\n", - "* Click and drag in the empty space to translate the view." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "backend = JupyterAsyncGui\n", - "s = backend.Settings()\n", - "s.resolution = [500,600]\n", - "s.scale = 8\n", - "s.fps = 40\n", - "s.translate = [125,100]\n", - "b2d.testbed.run(Billiard, backend=backend, gui_settings=s);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/pyb2d/games/goo.ipynb b/content/pyodide/pyb2d/games/goo.ipynb deleted file mode 100644 index cbe018c..0000000 --- a/content/pyodide/pyb2d/games/goo.ipynb +++ /dev/null @@ -1,575 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('networkx')\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import b2d\n", - "from b2d.testbed import TestbedBase\n", - "import math\n", - "import random\n", - "import numpy\n", - "from functools import partial\n", - "import networkx\n", - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "\n", - "def best_pairwise_distance(data, f, distance):\n", - " n = len(data)\n", - " best = (None, None, float(\"inf\"))\n", - " for i in range(n - 1):\n", - " da = f(data[i])\n", - " for j in range(i + 1, n):\n", - " db = f(data[j])\n", - "\n", - " d = distance(da, db)\n", - " if d < best[2]:\n", - " best = (i, j, d)\n", - " return best\n", - "\n", - "class Level(object):\n", - " def __init__(self, testbed):\n", - " self.testbed = testbed\n", - " self.world = testbed.world\n", - "\n", - " self.gap_size = 15\n", - " self.kill_sensors_height = 0.5\n", - " self.usable_size = 20\n", - " self.h = 10\n", - " self.end_zone_height = 3\n", - "\n", - " self.outline_verts = [\n", - " (0, self.h),\n", - " (0, 2 * self.h),\n", - " (0, self.h),\n", - " (self.usable_size, self.h),\n", - " (self.usable_size, 0),\n", - " (self.usable_size + self.gap_size, 0),\n", - " (self.usable_size + self.gap_size, self.h),\n", - " (2 * self.usable_size + self.gap_size, self.h),\n", - " (2 * self.usable_size + self.gap_size, 2 * self.h),\n", - " ]\n", - "\n", - " # outline of the level\n", - " shape = b2d.chain_shape(vertices=numpy.flip(self.outline_verts, axis=0))\n", - " self.outline = self.world.create_static_body(position=(0, 0), shape=shape)\n", - "\n", - " # kill sensors\n", - " self.kill_sensor_pos = (\n", - " self.usable_size + self.gap_size / 2,\n", - " self.kill_sensors_height / 2,\n", - " )\n", - "\n", - " shape = b2d.polygon_shape(box=(self.gap_size / 2, self.kill_sensors_height / 2))\n", - " self._kill_sensor = self.world.create_static_body(\n", - " position=self.kill_sensor_pos,\n", - " fixtures=b2d.fixture_def(shape=shape, is_sensor=True),\n", - " )\n", - " self._kill_sensor.user_data = \"destroyer\"\n", - "\n", - " # end sensor\n", - " shape = b2d.polygon_shape(box=(self.usable_size / 2, self.end_zone_height / 2))\n", - " self._end_sensor = self.world.create_static_body(\n", - " position=(\n", - " 1.5 * self.usable_size + self.gap_size,\n", - " self.h + self.end_zone_height / 2,\n", - " ),\n", - " fixtures=b2d.fixture_def(shape=shape, is_sensor=True),\n", - " )\n", - " self._end_sensor.user_data = \"goal\"\n", - "\n", - " goo_radius = 1\n", - " a = self.testbed.insert_goo(\n", - " pos=(self.usable_size / 3, self.h + goo_radius), static=True\n", - " )\n", - " b = self.testbed.insert_goo(\n", - " pos=(self.usable_size * 2 / 3, self.h + goo_radius), static=True\n", - " )\n", - " c = self.testbed.insert_goo(\n", - " pos=(self.usable_size * 1 / 2, self.h + goo_radius + 4), static=False\n", - " )\n", - "\n", - " self.testbed.connect_goos(a, b)\n", - " self.testbed.connect_goos(a, c)\n", - " self.testbed.connect_goos(b, c)\n", - "\n", - " def draw(self, debug_draw):\n", - "\n", - " # draw outline\n", - " for i in range(len(self.outline_verts) - 1):\n", - " debug_draw.draw_segment(\n", - " self.outline_verts[i],\n", - " self.outline_verts[i + 1],\n", - " color=(1, 1, 0),\n", - " line_width=0.3,\n", - " )\n", - "\n", - " left = list(self.kill_sensor_pos)\n", - " left[0] -= self.gap_size / 2\n", - " left[1] += self.kill_sensors_height / 2\n", - "\n", - " right = list(self.kill_sensor_pos)\n", - " right[0] += self.gap_size / 2\n", - " right[1] += self.kill_sensors_height / 2\n", - " debug_draw.draw_segment(left, right, (1, 0, 0), line_width=0.4)\n", - "\n", - "\n", - "class FindGoos(b2d.QueryCallback):\n", - " def __init__(self):\n", - " super(FindGoos, self).__init__()\n", - " self.goos = []\n", - "\n", - " def report_fixture(self, fixture):\n", - " body = fixture.body\n", - " if body.user_data == \"goo\":\n", - " self.goos.append(body)\n", - " return True\n", - "\n", - "\n", - "class Goo(TestbedBase):\n", - "\n", - " name = \"Goo\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(Goo, self).__init__(settings=settings)\n", - "\n", - " self.goo_graph = networkx.Graph()\n", - " self.level = Level(testbed=self)\n", - "\n", - " # mouse related\n", - " self.last_mouse_pos = None\n", - " self.is_mouse_down = False\n", - " self.could_place_goo_when_mouse_was_down = False\n", - "\n", - " # callback to draw tentative placement\n", - " self.draw_callback = None\n", - "\n", - " # goos marked for destruction\n", - " self.goo_to_destroy = []\n", - "\n", - " # joints marked for destruction\n", - " self.joints_to_destroy = []\n", - " self.gamma = 0.003\n", - " self.break_threshold = 0.5\n", - "\n", - " # time point when goo can be inserted\n", - " self.insert_time_point = 0\n", - " self.insert_delay = 1.0\n", - "\n", - " # handle finishing of level\n", - " self.with_goal_contact = dict()\n", - "\n", - " # amount of seconds one has to be in the finishing zone\n", - " self.win_delay = 3.0\n", - "\n", - " # particle system will be defined an used on win!\n", - " # this is then used for some kind of fireworks\n", - " self.psystem = None\n", - " self.emitter = None\n", - " self.emitter_stop_time = None\n", - " self.emitter_start_time = None\n", - "\n", - " # trigger some fireworks on win\n", - " def on_win(self, win_body):\n", - "\n", - " if self.psystem is None:\n", - " # particle system\n", - " pdef = b2d.particle_system_def(\n", - " viscous_strength=0.9,\n", - " spring_strength=0.0,\n", - " damping_strength=100.5,\n", - " pressure_strength=1.0,\n", - " color_mixing_strength=0.05,\n", - " density=0.1,\n", - " )\n", - "\n", - " self.psystem = self.world.create_particle_system(pdef)\n", - " self.psystem.radius = 0.1\n", - " self.psystem.damping = 0.5\n", - "\n", - " emitter_def = b2d.RandomizedRadialEmitterDef()\n", - " emitter_def.emite_rate = 2000\n", - " emitter_def.lifetime = 0.9\n", - " emitter_def.enabled = True\n", - " emitter_def.inner_radius = 0.0\n", - " emitter_def.outer_radius = 0.1\n", - " emitter_def.velocity_magnitude = 1000.0\n", - " emitter_def.start_angle = 0\n", - " emitter_def.stop_angle = 2 * math.pi\n", - " emitter_def.transform = b2d.Transform(\n", - " win_body.position + b2d.vec2(0, 20), b2d.Rot(0)\n", - " )\n", - " self.emitter = b2d.RandomizedRadialEmitter(self.psystem, emitter_def)\n", - " self.emitter_stop_time = self.elapsed_time + 0.2\n", - "\n", - " def draw_goo(self, pos, angle, body=None):\n", - " self.debug_draw.draw_solid_circle(pos, 1, axis=None, color=(1, 0, 1))\n", - " self.debug_draw.draw_circle(pos, 1.1, (1, 1, 1), line_width=0.1)\n", - "\n", - " if body is not None:\n", - " centers = [\n", - " body.get_world_point((-0.3, 0.2)),\n", - " body.get_world_point((0.3, 0.2)),\n", - " ]\n", - " for center in centers:\n", - " self.debug_draw.draw_solid_circle(\n", - " center, 0.4, axis=None, color=(1, 1, 1)\n", - " )\n", - " self.debug_draw.draw_solid_circle(\n", - " center, 0.2, axis=None, color=(0, 0, 0)\n", - " )\n", - "\n", - " def draw_edge(self, pos_a, pos_b, stress):\n", - " no_stress = numpy.array([1, 1, 1])\n", - " has_stress = numpy.array([1, 0, 0])\n", - " color = (1.0 - stress) * no_stress + stress * has_stress\n", - " color = tuple([float(c) for c in color])\n", - " self.debug_draw.draw_segment(pos_a, pos_b, color=color, line_width=0.4)\n", - "\n", - " def insert_goo(self, pos, static=False):\n", - " if static:\n", - " f = self.world.create_static_body\n", - " else:\n", - " f = self.world.create_dynamic_body\n", - "\n", - " goo = f(\n", - " position=pos,\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=1), density=1),\n", - " user_data=\"goo\",\n", - " )\n", - " self.goo_graph.add_node(goo)\n", - " return goo\n", - "\n", - " def connect_goos(self, goo_a, goo_b):\n", - " length = (goo_a.position - goo_b.position).length\n", - " joint = self.world.create_distance_joint(\n", - " goo_a,\n", - " goo_b,\n", - " stiffness=500,\n", - " damping=0.1,\n", - " length=length,\n", - " user_data=dict(length=length, stress=0),\n", - " )\n", - " self.goo_graph.add_edge(goo_a, goo_b, joint=joint)\n", - "\n", - " def query_placement(self, pos):\n", - "\n", - " radius = 8\n", - "\n", - " # find all goos in around pos\n", - " pos = b2d.vec2(pos)\n", - " box = b2d.aabb(\n", - " lower_bound=pos - b2d.vec2(radius, radius),\n", - " upper_bound=pos + b2d.vec2(radius, radius),\n", - " )\n", - " query = FindGoos()\n", - " self.world.query_aabb(query, box)\n", - " goos = query.goos\n", - " n_goos = len(goos)\n", - "\n", - " if n_goos >= 2:\n", - "\n", - " # try to insert to goo as edge between\n", - " # 2 existing goos\n", - " def distance(a, b, p):\n", - " if self.goo_graph.has_edge(a[0], b[0]):\n", - " return float(\"inf\")\n", - " return numpy.linalg.norm((a[1] + b[1]) / 2 - p)\n", - "\n", - " i, j, best_dist = best_pairwise_distance(\n", - " goos,\n", - " f=lambda goo: (goo, numpy.array(goo.position)),\n", - " distance=partial(distance, p=pos),\n", - " )\n", - "\n", - " if best_dist < 0.8:\n", - "\n", - " def draw_callback():\n", - " self.draw_edge(goos[i].position, goos[j].position, stress=0)\n", - "\n", - " def insert_callack():\n", - " self.connect_goos(goos[i], goos[j])\n", - "\n", - " return True, draw_callback, insert_callack\n", - "\n", - " # try to insert the goo as brand new\n", - " # goo and connect it with 2 existing goos\n", - " f = lambda goo: (goo, (goo.position - b2d.vec2(pos)).length)\n", - "\n", - " def distance(a, b):\n", - " if not self.goo_graph.has_edge(a[0], b[0]):\n", - " return float(\"inf\")\n", - " return a[1] + b[1]\n", - "\n", - " i, j, best_dist = best_pairwise_distance(goos, f=f, distance=distance)\n", - " if best_dist < float(\"inf\"):\n", - "\n", - " def draw_callback():\n", - "\n", - " self.draw_edge(pos, goos[i].position, stress=0)\n", - " self.draw_edge(pos, goos[j].position, stress=0)\n", - " self.draw_goo(pos, angle=None)\n", - "\n", - " def insert_callack():\n", - " goo = self.insert_goo(pos=pos)\n", - " self.connect_goos(goo, goos[i])\n", - " self.connect_goos(goo, goos[j])\n", - "\n", - " return True, draw_callback, insert_callack\n", - "\n", - " return False, None, None\n", - "\n", - " def on_mouse_down(self, pos):\n", - " self.last_mouse_pos = pos\n", - " self.is_mouse_down = True\n", - " can_be_placed, draw_callback, insert_callback = self.query_placement(pos)\n", - " self.could_place_goo_when_mouse_was_down = can_be_placed\n", - " if can_be_placed:\n", - " if self.elapsed_time < self.insert_time_point:\n", - " return True\n", - " self.draw_callback = draw_callback\n", - " return True\n", - " return False\n", - "\n", - " def on_mouse_move(self, pos):\n", - " self.last_mouse_pos = pos\n", - " if self.is_mouse_down:\n", - " can_be_placed, draw_callback, insert_callback = self.query_placement(pos)\n", - " if can_be_placed:\n", - " if self.elapsed_time < self.insert_time_point:\n", - " return True\n", - " self.draw_callback = draw_callback\n", - " return True\n", - " else:\n", - " self.draw_callback = None\n", - " return self.could_place_goo_when_mouse_was_down\n", - "\n", - " def on_mouse_up(self, pos):\n", - " self.last_mouse_pos = pos\n", - " self.is_mouse_down = False\n", - " self.draw_callback = None\n", - " can_be_placed, draw_callback, insert_callback = self.query_placement(pos)\n", - " if can_be_placed:\n", - " if self.elapsed_time < self.insert_time_point:\n", - " return True\n", - " # self.draw_callback = draw_callback\n", - " insert_callback()\n", - " self.insert_time_point = self.elapsed_time + self.insert_delay\n", - " return True\n", - " return False\n", - "\n", - " def begin_contact(self, contact):\n", - " body_a = contact.body_a\n", - " body_b = contact.body_b\n", - " if body_b.user_data == \"goo\":\n", - " body_a, body_b = body_b, body_a\n", - "\n", - " user_data_a = body_a.user_data\n", - " user_data_b = body_b.user_data\n", - " if body_a.user_data == \"goo\":\n", - " if user_data_b == \"destroyer\":\n", - " self.goo_to_destroy.append(body_a)\n", - " elif user_data_b == \"goal\":\n", - " self.with_goal_contact[body_a] = self.elapsed_time + self.win_delay\n", - "\n", - " def end_contact(self, contact):\n", - " body_a = contact.body_a\n", - " body_b = contact.body_b\n", - " if body_b.user_data == \"goo\":\n", - " body_a, body_b = body_b, body_a\n", - "\n", - " user_data_a = body_a.user_data\n", - " user_data_b = body_b.user_data\n", - " if body_a.user_data == \"goo\":\n", - " if user_data_b == \"goal\":\n", - " if body_a in self.with_goal_contact:\n", - " del self.with_goal_contact[body_a]\n", - "\n", - " def pre_step(self, dt):\n", - "\n", - " # query if goo can be inserted\n", - " if (\n", - " self.is_mouse_down\n", - " and self.last_mouse_pos is not None\n", - " and self.draw_callback is None\n", - " ):\n", - " can_be_placed, draw_callback, insert_callback = self.query_placement(\n", - " self.last_mouse_pos\n", - " )\n", - " if can_be_placed and self.elapsed_time >= self.insert_time_point:\n", - " self.draw_callback = draw_callback\n", - "\n", - " # compute joint stress\n", - " for goo_a, goo_b, joint in self.goo_graph.edges(data=\"joint\"):\n", - " jd = joint.user_data\n", - "\n", - " # distance based stress\n", - " insert_length = jd[\"length\"]\n", - " length = (goo_a.position - goo_b.position).length\n", - "\n", - " d = length - insert_length\n", - " if d > 0:\n", - "\n", - " # reaction force based stress\n", - " rf = joint.get_reaction_force(30).length\n", - "\n", - " normalized_rf = 1.0 - math.exp(-rf * self.gamma)\n", - "\n", - " jd[\"stress\"] = normalized_rf / self.break_threshold\n", - " if normalized_rf > self.break_threshold:\n", - " self.joints_to_destroy.append((goo_a, goo_b, joint))\n", - "\n", - " else:\n", - " jd[\"stress\"] = 0\n", - "\n", - " for goo_a, goo_b, joint in self.joints_to_destroy:\n", - " self.goo_graph.remove_edge(u=goo_a, v=goo_b)\n", - " self.world.destroy_joint(joint)\n", - " self.joints_to_destroy = []\n", - "\n", - " # destroy goos\n", - " for goo in self.goo_to_destroy:\n", - " self.goo_graph.remove_node(goo)\n", - " self.world.destroy_body(goo)\n", - "\n", - " # destroy all with wrong degree\n", - " while True:\n", - " destroyed_any = False\n", - " to_remove = []\n", - " for goo in self.goo_graph.nodes:\n", - " if self.goo_graph.degree(goo) < 2:\n", - " destroyed_any = True\n", - " to_remove.append(goo)\n", - " if not destroyed_any:\n", - " break\n", - " for goo in to_remove:\n", - " self.goo_graph.remove_node(goo)\n", - " self.world.destroy_body(goo)\n", - " self.goo_to_destroy = []\n", - "\n", - " # check if we are done\n", - " for goo, finish_time in self.with_goal_contact.items():\n", - " if finish_time <= self.elapsed_time:\n", - " self.on_win(goo)\n", - "\n", - " if self.emitter is not None:\n", - " if self.emitter_stop_time is not None:\n", - " if self.elapsed_time > self.emitter_stop_time:\n", - " self.emitter.enabled = False\n", - " self.emitter_start_time = self.elapsed_time + 0.4\n", - " self.emitter_stop_time = None\n", - " p = list(self.emitter.position)\n", - " p[0] += (random.random() - 0.5) * 10.0\n", - " p[1] += (random.random() - 0.5) * 2.0\n", - " self.emitter.position = p\n", - " if self.emitter_start_time is not None:\n", - " if self.elapsed_time > self.emitter_start_time:\n", - " self.emitter.enabled = True\n", - " self.emitter_start_time = None\n", - " self.emitter_stop_time = self.elapsed_time + 0.2\n", - " self.emitter.step(dt)\n", - "\n", - " def post_debug_draw(self):\n", - "\n", - " self.level.draw(self.debug_draw)\n", - "\n", - " # draw mouse when mouse is down\n", - " if (\n", - " self.is_mouse_down\n", - " and self.last_mouse_pos is not None\n", - " and self.draw_callback is None\n", - " ):\n", - " d = (self.insert_time_point - self.elapsed_time) / self.insert_delay\n", - " if d > 0:\n", - " d = d * math.pi * 2\n", - " x = math.sin(d)\n", - " y = math.cos(d)\n", - " p = self.last_mouse_pos[0] + x, self.last_mouse_pos[1] + y\n", - " self.debug_draw.draw_segment(\n", - " p, self.last_mouse_pos, color=(1, 0, 0), line_width=0.2\n", - " )\n", - " self.debug_draw.draw_circle(\n", - " self.last_mouse_pos, 1, (1, 0, 0), line_width=0.2\n", - " )\n", - "\n", - " # draw the tentative placement\n", - " if self.draw_callback is not None:\n", - " self.draw_callback()\n", - "\n", - " for goo_a, goo_b, joint in self.goo_graph.edges(data=\"joint\"):\n", - " self.draw_edge(\n", - " goo_a.position, goo_b.position, stress=joint.user_data[\"stress\"]\n", - " )\n", - "\n", - " for goo in self.goo_graph:\n", - " self.draw_goo(goo.position, goo.angle, body=goo)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Controlls\n", - "* To play this game, click and drag next to the existing \"goos\"\n", - "* try to bridge the tiny gap\n", - "* Use the mouse-wheel to zoom in/out, a\n", - "* Click and drag in the empty space to translate the view." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [1000,500]\n", - "s.scale = 8\n", - "tb = b2d.testbed.run(Goo, backend=JupyterAsyncGui, gui_settings=s);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/content/pyodide/pyb2d/games/rocket.ipynb b/content/pyodide/pyb2d/games/rocket.ipynb deleted file mode 100644 index 316e9ce..0000000 --- a/content/pyodide/pyb2d/games/rocket.ipynb +++ /dev/null @@ -1,282 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "f7b8452d-61fe-4356-8084-cac603096fef", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0bfa61e4-9817-4bea-aa66-6a660a423ae6", - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "import random\n", - "import numpy\n", - "import b2d\n", - "import math\n", - "\n", - "class Rocket(TestbedBase):\n", - "\n", - " name = \"Rocket\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(Rocket, self).__init__(gravity=(0, 0), settings=settings)\n", - "\n", - " # gravitational constant\n", - " self.gravitational_constant = 6.0\n", - "\n", - " self.planets = {}\n", - "\n", - " # home planet\n", - " home_planet = self.world.create_kinematic_body(\n", - " position=(10, 0),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=20)),\n", - " user_data=\"home_planet\",\n", - " )\n", - "\n", - " # target planet\n", - " target_planet = self.world.create_kinematic_body(\n", - " position=(100, 100),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=10)),\n", - " user_data=\"target_planet\",\n", - " )\n", - "\n", - " # black hole\n", - " black_hole = self.world.create_kinematic_body(\n", - " position=(0, 400),\n", - " fixtures=b2d.fixture_def(shape=b2d.circle_shape(radius=1)),\n", - " user_data=\"black_hole\",\n", - " )\n", - "\n", - " self.planets = {\n", - " home_planet: dict(radius=20, density=1, color=(0, 0.2, 1)),\n", - " target_planet: dict(radius=10, density=1, color=(0.7, 0.7, 0.7)),\n", - " black_hole: dict(radius=1, density=10000, color=(0.1, 0.1, 0.1)),\n", - " }\n", - "\n", - " # a tiny rocket\n", - " self.rocket = self.world.create_dynamic_body(\n", - " position=(10, 10),\n", - " fixtures=[\n", - " b2d.fixture_def(shape=b2d.polygon_shape(box=[1, 1]), density=1),\n", - " b2d.fixture_def(\n", - " shape=b2d.polygon_shape(vertices=[(-1, 1), (0, 4), (1, 1)]),\n", - " density=1,\n", - " ),\n", - " ],\n", - " angular_damping=0.5,\n", - " linear_damping=0.2,\n", - " user_data=\"rocket\",\n", - " )\n", - " # check if the rocket is gone\n", - " self.touched_black_hole = False\n", - "\n", - " # particle system\n", - " pdef = b2d.particle_system_def(\n", - " viscous_strength=0.9,\n", - " spring_strength=0.0,\n", - " damping_strength=100.5,\n", - " pressure_strength=1.0,\n", - " color_mixing_strength=0.05,\n", - " density=0.1,\n", - " )\n", - "\n", - " psystem = self.world.create_particle_system(pdef)\n", - " psystem.radius = 0.1\n", - " psystem.damping = 0.5\n", - "\n", - " self.emitters = []\n", - " self.key_map = {\"w\": 0, \"a\": 1, \"d\": 2}\n", - "\n", - " angle_width = (math.pi * 2) / 16\n", - " emitter_def = b2d.RandomizedRadialEmitterDef()\n", - " emitter_def.emite_rate = 2000\n", - " emitter_def.lifetime = 1.0\n", - " emitter_def.enabled = False\n", - " emitter_def.inner_radius = 1\n", - " emitter_def.outer_radius = 1\n", - " emitter_def.velocity_magnitude = 10.0\n", - " emitter_def.start_angle = math.pi / 2 - angle_width / 2.0\n", - " emitter_def.stop_angle = math.pi / 2 + angle_width / 2.0\n", - " emitter_def.body = self.rocket\n", - "\n", - " delta = 0.2\n", - " self.emitter_local_anchors = [\n", - " (0, -delta), # main\n", - " (-delta, -0.5), # left,\n", - " (delta, -0.5), # right\n", - " ]\n", - " self.emitter_local_rot = [math.pi, math.pi / 2, -math.pi / 2] # main\n", - "\n", - " # main trust\n", - " emitter_def.emite_rate = 2000\n", - " world_anchor = self.rocket.get_world_point(self.emitter_local_anchors[0])\n", - " emitter_def.transform = b2d.Transform(\n", - " world_anchor, b2d.Rot(self.emitter_local_rot[0])\n", - " )\n", - " emitter = b2d.RandomizedRadialEmitter(psystem, emitter_def)\n", - " self.emitters.append(emitter)\n", - "\n", - " # left\n", - " emitter_def.emite_rate = 200\n", - " world_anchor = self.rocket.get_world_point(self.emitter_local_anchors[1])\n", - " emitter_def.transform = b2d.Transform(\n", - " world_anchor, b2d.Rot(self.emitter_local_rot[1])\n", - " )\n", - " emitter = b2d.RandomizedRadialEmitter(psystem, emitter_def)\n", - " self.emitters.append(emitter)\n", - "\n", - " # right\n", - " emitter_def.emite_rate = 200\n", - " world_anchor = self.rocket.get_world_point(self.emitter_local_anchors[1])\n", - " emitter_def.transform = b2d.Transform(\n", - " world_anchor, b2d.Rot(self.emitter_local_rot[1])\n", - " )\n", - " emitter = b2d.RandomizedRadialEmitter(psystem, emitter_def)\n", - " self.emitters.append(emitter)\n", - "\n", - " def pre_step(self, dt):\n", - "\n", - " # check if the rocket has died\n", - " if self.touched_black_hole:\n", - " if self.rocket is not None:\n", - " self.world.destroy_body(self.rocket)\n", - " self.rocket = None\n", - " else:\n", - " rocket_center = self.rocket.world_center\n", - " rocket_mass = self.rocket.mass\n", - " # compute gravitational forces\n", - " net_force = numpy.zeros([2])\n", - " for planet, planet_def in self.planets.items():\n", - " radius = planet_def[\"radius\"]\n", - " planet_center = planet.position\n", - " planet_mass = planet_def[\"density\"] * radius ** 2 * math.pi\n", - " delta = rocket_center - planet_center\n", - " distance = delta.normalize()\n", - " f = (\n", - " -self.gravitational_constant\n", - " * rocket_mass\n", - " * planet_mass\n", - " / (distance * distance)\n", - " )\n", - " net_force += delta * f\n", - " f = float(net_force[0]), float(net_force[1])\n", - " self.rocket.apply_force_to_center(f)\n", - "\n", - " # run the rockets engines\n", - " for emitter, local_anchor, local_rotation in zip(\n", - " self.emitters, self.emitter_local_anchors, self.emitter_local_rot\n", - " ):\n", - " world_anchor = self.rocket.get_world_point(local_anchor)\n", - " emitter.position = world_anchor\n", - " emitter.angle = self.rocket.angle + local_rotation\n", - " emitter.step(dt)\n", - "\n", - " def begin_contact(self, contact):\n", - " body_a = contact.body_a\n", - " body_b = contact.body_b\n", - " if body_b.user_data == \"rocket\":\n", - " body_a, body_b = body_b, body_a\n", - "\n", - " user_data_a = body_a.user_data\n", - " user_data_b = body_b.user_data\n", - " if body_a.user_data == \"rocket\":\n", - " if user_data_b == \"black_hole\":\n", - " self.touched_black_hole = True\n", - "\n", - " def on_keyboard_down(self, key):\n", - " if key in self.key_map:\n", - " self.emitters[self.key_map[key]].enabled = True\n", - " return True\n", - " return False\n", - "\n", - " def on_keyboard_up(self, key):\n", - " if key in self.key_map:\n", - " self.emitters[self.key_map[key]].enabled = False\n", - " return False\n", - " return False\n", - "\n", - " def pre_debug_draw(self):\n", - " pass\n", - "\n", - " def post_debug_draw(self):\n", - " for planet, planet_def in self.planets.items():\n", - " pos = planet.position\n", - " self.debug_draw.draw_solid_circle(\n", - " pos, planet_def[\"radius\"] + 0.1, axis=None, color=planet_def[\"color\"]\n", - " )\n", - " if planet.user_data == \"black_hole\":\n", - " self.debug_draw.draw_circle(\n", - " pos, planet_def[\"radius\"] * 5, color=(1, 1, 1), line_width=0.1\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "357866b3-876e-421f-8d2a-77d6697551d3", - "metadata": {}, - "source": [ - "# Controlls\n", - "* To play this game, use 'w','a','s','d' on your keyboard to steer the rocket\n", - "* try to land on the other planet\n", - "* avoid the black hole\n", - "* Use the mouse-wheel to zoom in/out, a\n", - "* Click and drag in the empty space to translate the view." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7bab75b7-cec1-4348-b95d-9ffd282ded5c", - "metadata": {}, - "outputs": [], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [1000,1000]\n", - "s.scale = 3\n", - "tb = b2d.testbed.run(Rocket, backend=JupyterAsyncGui, gui_settings=s);" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "674c57c8-b5b1-45a9-b75e-5ddc487f7d9b", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/pyb2d/gauss_machine.ipynb b/content/pyodide/pyb2d/gauss_machine.ipynb deleted file mode 100644 index b7bb72c..0000000 --- a/content/pyodide/pyb2d/gauss_machine.ipynb +++ /dev/null @@ -1,128 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "39a80aae-a990-4ed8-b880-3db2e7f70f16", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9d9f8d68-0f3b-49c1-9512-e3e8344e7342", - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "import random\n", - "import numpy\n", - "import b2d\n", - "\n", - "\n", - "class GaussMachine(TestbedBase):\n", - "\n", - " name = \"Gauss Machine\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(GaussMachine, self).__init__(settings=settings)\n", - "\n", - " self.box_shape = 30, 20\n", - " box_shape = self.box_shape\n", - "\n", - " # outer box\n", - " verts = numpy.array(\n", - " [(0, box_shape[1]), (0, 0), (box_shape[0], 0), (box_shape[0], box_shape[1])]\n", - " )\n", - " shape = b2d.chain_shape(vertices=numpy.flip(verts, axis=0))\n", - " box = self.world.create_static_body(position=(0, 0), shape=shape)\n", - "\n", - " # \"bins\"\n", - " bin_height = box_shape[1] / 3\n", - " bin_width = 1\n", - " for x in range(0, box_shape[0], bin_width):\n", - " box = self.world.create_static_body(\n", - " position=(0, 0), shape=b2d.two_sided_edge_shape((x, 0), (x, bin_height))\n", - " )\n", - "\n", - " # reflectors\n", - " ref_start_y = int(bin_height + box_shape[1] / 10.0)\n", - " ref_stop_y = int(box_shape[1] * 0.9)\n", - " for x in range(0, box_shape[0] + 1):\n", - "\n", - " for y in range(ref_start_y, ref_stop_y):\n", - " s = [0.5, 0][y % 2 == 0]\n", - " shape = b2d.circle_shape(radius=0.3)\n", - " box = self.world.create_static_body(position=(x + s, y), shape=shape)\n", - "\n", - " # particle system\n", - " pdef = b2d.particle_system_def(\n", - " viscous_strength=0.9,\n", - " spring_strength=0.0,\n", - " damping_strength=100.5,\n", - " pressure_strength=1.0,\n", - " color_mixing_strength=0.05,\n", - " density=2,\n", - " )\n", - "\n", - " psystem = self.world.create_particle_system(pdef)\n", - " psystem.radius = 0.1\n", - " psystem.damping = 0.5\n", - "\n", - " # linear emitter\n", - " emitter_pos = (self.box_shape[0] / 2, self.box_shape[1] + 10)\n", - " emitter_def = b2d.RandomizedLinearEmitterDef()\n", - " emitter_def.emite_rate = 400\n", - " emitter_def.lifetime = 25\n", - " emitter_def.size = (10, 1)\n", - " emitter_def.transform = b2d.Transform(emitter_pos, b2d.Rot(0))\n", - "\n", - " self.emitter = b2d.RandomizedLinearEmitter(psystem, emitter_def)\n", - "\n", - " def pre_step(self, dt):\n", - " self.emitter.step(dt)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "51e5df1b-f5e6-486a-a6c0-173597198e5d", - "metadata": {}, - "outputs": [], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [350,400]\n", - "s.scale = 11\n", - "tb = b2d.testbed.run(GaussMachine, backend=JupyterAsyncGui, gui_settings=s);" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/pyb2d/newtons_cradle.ipynb b/content/pyodide/pyb2d/newtons_cradle.ipynb deleted file mode 100644 index 9ef3ff3..0000000 --- a/content/pyodide/pyb2d/newtons_cradle.ipynb +++ /dev/null @@ -1,130 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "82ae535a-a041-40f0-8c40-e689b894b0bc", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "if \"pyodide\" in sys.modules:\n", - " import piplite\n", - " await piplite.install('pyb2d-jupyterlite-backend>=0.4.0')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "7381ff66-7924-4216-b141-8f7b15ed038a", - "metadata": {}, - "outputs": [], - "source": [ - "from b2d.testbed import TestbedBase\n", - "import b2d\n", - "\n", - "\n", - "class NewtonsCradle(TestbedBase):\n", - "\n", - " name = \"newton's cradle\"\n", - "\n", - " def __init__(self, settings=None):\n", - " super(NewtonsCradle, self).__init__(settings=settings)\n", - "\n", - " # radius of the circles\n", - " r = 1.0\n", - " # length of the rope\n", - " l = 10.0\n", - " # how many balls\n", - " n = 10\n", - "\n", - " offset = (l + r, 2 * r)\n", - " dynamic_circles = []\n", - " static_bodies = []\n", - " for i in range(n):\n", - " if i + 1 == n:\n", - " position = (offset[0] + i * 2 * r + l, offset[1] + l)\n", - " else:\n", - " position = (offset[0] + i * 2 * r, offset[1])\n", - "\n", - " circle = self.world.create_dynamic_body(\n", - " position=position,\n", - " fixtures=b2d.fixture_def(\n", - " shape=b2d.circle_shape(radius=r * 0.90),\n", - " density=1.0,\n", - " restitution=1.0,\n", - " friction=0.0,\n", - " ),\n", - " linear_damping=0.01,\n", - " angular_damping=1.0,\n", - " fixed_rotation=True,\n", - " )\n", - " dynamic_circles.append(circle)\n", - "\n", - " static_body = self.world.create_static_body(\n", - " position=(offset[0] + i * 2 * r, offset[1] + l)\n", - " )\n", - "\n", - " self.world.create_distance_joint(\n", - " static_body,\n", - " circle,\n", - " local_anchor_a=(0, 0),\n", - " local_anchor_b=(0, 0),\n", - " max_length=l,\n", - " stiffness=0,\n", - " )\n", - "\n", - " static_bodies.append(static_body)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "6f694d32-8b23-40cf-91c3-0edd6abb658d", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b24ad88f6cfd4db19fc3145000e79635", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Output()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n", - "s = JupyterAsyncGui.Settings()\n", - "s.resolution = [1000,300]\n", - "b2d.testbed.run(NewtonsCradle, backend=JupyterAsyncGui, gui_settings=s);" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.10.4" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/content/pyodide/renderers.ipynb b/content/pyodide/renderers.ipynb deleted file mode 100644 index 286490f..0000000 --- a/content/pyodide/renderers.ipynb +++ /dev/null @@ -1 +0,0 @@ -{"metadata":{"language_info":{"codemirror_mode":{"name":"python","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8"},"kernelspec":{"name":"python","display_name":"Pyolite","language":"python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# JupyterLab Renderers","metadata":{}},{"cell_type":"markdown","source":"## FASTA","metadata":{}},{"cell_type":"code","source":"def Fasta(data=''):\n bundle = {}\n bundle['application/vnd.fasta.fasta'] = data\n bundle['text/plain'] = data\n display(bundle, raw=True)\n\nFasta(\"\"\">SEQUENCE_1\nMTEITAAMVKELRESTGAGMMDCKNALSETNGDFDKAVQLLREKGLGKAAKKADRLAAEG\nLVSVKVSDDFTIAAMRPSYLSYEDLDMTFVENEYKALVAELEKENEERRRLKDPNKPEHK\nIPQFASRKQLSDAILKEAEEKIKEELKAQGKPEKIWDNIIPGKMNSFIADNSQLDSKLTL\nMGQFYVMDDKKTVEQVIAEKEKEFGGKIKIVEFICFEVGEGLEKKTEDFAAEVAAQL\n>SEQUENCE_2\nSATVSEINSETDFVAKNDQFIALTKDTTAHIQSNSLQSVEELHSSTINGVKFEEYLKSQI\nATIGENLVVRRFATLKAGANGVVNGYIHTNGRVGVVIAAACDSAEVASKSRDLLRQICMH\"\"\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GeoJSON","metadata":{}},{"cell_type":"code","source":"def GeoJSON(data):\n bundle = {}\n bundle['application/geo+json'] = data\n bundle['text/plain'] = data\n display(bundle, raw=True)\n \nGeoJSON({\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"Point\",\n \"coordinates\": [125.6, 10.1]\n },\n \"properties\": {\n \"name\": \"Dinagat Islands\"\n }\n})","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]} \ No newline at end of file diff --git a/content/python.ipynb b/content/python.ipynb deleted file mode 100644 index 689e883..0000000 --- a/content/python.ipynb +++ /dev/null @@ -1,721 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# A Python kernel backed by Pyodide\n", - "\n", - "![](https://raw.githubusercontent.com/pyodide/pyodide/master/docs/_static/img/pyodide-logo.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import pyodide_kernel\n", - "pyodide_kernel.__version__" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple code execution" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "a = 3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "a" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "b = 89\n", - "\n", - "def sq(x):\n", - " return x * x\n", - "\n", - "sq(b)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "print" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "# Redirected streams" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import sys\n", - "\n", - "print(\"Error !!\", file=sys.stderr)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Error handling" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true, - "trusted": true - }, - "outputs": [], - "source": [ - "\"Hello\"\n", - "\n", - "def dummy_function():\n", - " import missing_module" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "dummy_function()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Code completion" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### press `tab` to see what is available in `sys` module" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from sys import " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Code inspection" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### using the question mark" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "?print" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### by pressing `shift+tab`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "print(" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Input support" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "name = await input('Enter your name: ')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "'Hello, ' + name" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Rich representation" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import display, Markdown, HTML, JSON, Latex" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "## HTML" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "print('Before display')\n", - "\n", - "s = '

HTML Title

'\n", - "display(HTML(s))\n", - "\n", - "print('After display')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Markdown" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "Markdown('''\n", - "# Title\n", - "\n", - "**in bold**\n", - "\n", - "~~Strikthrough~~\n", - "''')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Pandas DataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "from string import ascii_uppercase as letters\n", - "from IPython.display import display\n", - "\n", - "df = pd.DataFrame(np.random.randint(0, 100, size=(100, len(letters))), columns=list(letters))\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Show the same DataFrame " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## IPython.display module" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import clear_output, display, update_display\n", - "from asyncio import sleep" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Update display" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "class Square:\n", - " color = 'PeachPuff'\n", - " def _repr_html_(self):\n", - " return '''\n", - "
\n", - "
''' % self.color\n", - "square = Square()\n", - "\n", - "display(square, display_id='some-square')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "square.color = 'OliveDrab'\n", - "update_display(square, display_id='some-square')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Clear output" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "print(\"hello\")\n", - "await sleep(3)\n", - "clear_output() # will flicker when replacing \"hello\" with \"goodbye\"\n", - "print(\"goodbye\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "print(\"hello\")\n", - "await sleep(3)\n", - "clear_output(wait=True) # prevents flickering\n", - "print(\"goodbye\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Display classes" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import HTML\n", - "HTML('''\n", - "
\n", - "
''')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import Math\n", - "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import Latex\n", - "Latex(r\"\"\"\\begin{eqnarray}\n", - "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", - "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", - "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n", - "\\end{eqnarray}\"\"\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import ProgressBar\n", - "\n", - "for i in ProgressBar(10):\n", - " await sleep(0.1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import JSON\n", - "JSON(['foo', {'bar': ('baz', None, 1.0, 2)}], metadata={}, expanded=True, root='test')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from IPython.display import GeoJSON\n", - "GeoJSON(\n", - " data={\n", - " \"type\": \"Feature\",\n", - " \"geometry\": {\n", - " \"type\": \"Point\",\n", - " \"coordinates\": [11.8, -45.04]\n", - " }\n", - " }, url_template=\"http://s3-eu-west-1.amazonaws.com/whereonmars.cartodb.net/{basemap_id}/{z}/{x}/{y}.png\",\n", - " layer_options={\n", - " \"basemap_id\": \"celestia_mars-shaded-16k_global\",\n", - " \"attribution\" : \"Celestia/praesepe\",\n", - " \"tms\": True,\n", - " \"minZoom\" : 0,\n", - " \"maxZoom\" : 5\n", - " }\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Network requests and JSON" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import json\n", - "from js import fetch" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "res = await fetch('https://httpbin.org/get')\n", - "text = await res.text()\n", - "obj = json.loads(text) \n", - "JSON(obj)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Sympy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "from sympy import Integral, sqrt, symbols, init_printing\n", - "\n", - "init_printing()\n", - "\n", - "x = symbols('x')\n", - "\n", - "Integral(sqrt(1 / x), x)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Magics" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import os\n", - "os.listdir()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%cd /home" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%pwd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "current_path = %pwd\n", - "print(current_path)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%%writefile test.txt\n", - "\n", - "This will create a new file. \n", - "With the text that you see here." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%history" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "import time" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "trusted": true - }, - "outputs": [], - "source": [ - "%%timeit \n", - "\n", - "time.sleep(0.1)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python (Pyodide)", - "language": "python", - "name": "python" - }, - "language_info": { - "codemirror_mode": { - "name": "python", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 4 -}