{ "cells": [ { "cell_type": "markdown", "id": "external-settlement", "metadata": {}, "source": [ "# ipywidgets\n", "\n", "https://ipywidgets.readthedocs.io/" ] }, { "cell_type": "code", "execution_count": 1, "id": "designing-arnold", "metadata": {}, "outputs": [], "source": [ "import ipywidgets as widgets" ] }, { "cell_type": "code", "execution_count": 2, "id": "confirmed-scope", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
\n", "
" ], "text/plain": [ " total_bill tip sex smoker day time size\n", "0 16.99 1.01 Female No Sun Dinner 2\n", "1 10.34 1.66 Male No Sun Dinner 3\n", "2 21.01 3.50 Male No Sun Dinner 3\n", "3 23.68 3.31 Male No Sun Dinner 2\n", "4 24.59 3.61 Female No Sun Dinner 4" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import seaborn as sns\n", "\n", "tips = sns.load_dataset(\"tips\")\n", "tips.head(5)" ] }, { "cell_type": "code", "execution_count": 3, "id": "ordinary-peoples", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Dinner', 'Lunch']\n", "Categories (2, object): ['Dinner', 'Lunch']" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "values = tips.time.unique()\n", "values" ] }, { "cell_type": "markdown", "id": "advance-candy", "metadata": {}, "source": [ "## Simple widgets\n", "\n", "https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html" ] }, { "cell_type": "code", "execution_count": 4, "id": "olympic-renaissance", "metadata": {}, "outputs": [], "source": [ "time_selector = widgets.RadioButtons(\n", " options=values,\n", "# value='pineapple',\n", " disabled=False\n", ")" ] }, { "cell_type": "code", "execution_count": 5, "id": "classified-stomach", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "2311bce49eb1440bb0f71fa08a2213a8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "RadioButtons(options=('Dinner', 'Lunch'), value='Dinner')" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time_selector" ] }, { "cell_type": "code", "execution_count": 6, "id": "straight-marsh", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Dinner'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "time_selector.value" ] }, { "cell_type": "code", "execution_count": 7, "id": "extended-evaluation", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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total_billtipsexsmokerdaytimesize
016.991.01FemaleNoSunDinner2
110.341.66MaleNoSunDinner3
221.013.50MaleNoSunDinner3
323.683.31MaleNoSunDinner2
424.593.61FemaleNoSunDinner4
........................
23929.035.92MaleNoSatDinner3
24027.182.00FemaleYesSatDinner2
24122.672.00MaleYesSatDinner2
24217.821.75MaleNoSatDinner2
24318.783.00FemaleNoThurDinner2
\n", "

176 rows × 7 columns

\n", "
" ], "text/plain": [ " total_bill tip sex smoker day time size\n", "0 16.99 1.01 Female No Sun Dinner 2\n", "1 10.34 1.66 Male No Sun Dinner 3\n", "2 21.01 3.50 Male No Sun Dinner 3\n", "3 23.68 3.31 Male No Sun Dinner 2\n", "4 24.59 3.61 Female No Sun Dinner 4\n", ".. ... ... ... ... ... ... ...\n", "239 29.03 5.92 Male No Sat Dinner 3\n", "240 27.18 2.00 Female Yes Sat Dinner 2\n", "241 22.67 2.00 Male Yes Sat Dinner 2\n", "242 17.82 1.75 Male No Sat Dinner 2\n", "243 18.78 3.00 Female No Thur Dinner 2\n", "\n", "[176 rows x 7 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tips[tips.time == time_selector.value] # affiche un filtre de la table en fonction de l'option choisie" ] }, { "cell_type": "markdown", "id": "wooden-detective", "metadata": {}, "source": [ "## Using interact\n", "https://ipywidgets.readthedocs.io/en/stable/examples/Using%20Interact.html?highlight=interaction" ] }, { "cell_type": "code", "execution_count": 8, "id": "wanted-wrist", "metadata": {}, "outputs": [], "source": [ "def affiche(time) :\n", " sns.relplot(\n", " data = tips[tips.time == time], x=\"total_bill\", y=\"tip\",\n", " hue=\"smoker\", style=\"smoker\", size=\"size\")\n", " \n", " display(tips[tips.time == time].sample(5))" ] }, { "cell_type": "code", "execution_count": 9, "id": "compound-knock", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5964e116690a43659c81686f96c45d05", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(Dropdown(description='time', options=('Dinner', 'Lunch'), value='Dinner'), Output()), _d…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from ipywidgets import interact\n", "\n", "interact(affiche, time=values); # génère automatiquement un widget pour chaque paramètre de la fonction utiliée lorsqu'une action est effectuée" ] }, { "cell_type": "markdown", "id": "native-ocean", "metadata": {}, "source": [ "## Using interact with widgets\n", "\n", "https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html" ] }, { "cell_type": "code", "execution_count": 10, "id": "reported-prophet", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "fef06e30dc4446ba9459874fc661479d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(RadioButtons(description='time', options=('Dinner', 'Lunch'), value='Dinner'), Output())…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from ipywidgets import interact\n", "\n", "interact(affiche, time=time_selector); # à la place du widget automatique, on fournit le widget à utiliser" ] }, { "cell_type": "markdown", "id": "modern-chemistry", "metadata": {}, "source": [ "# Panel\n", "\n", "La même chose en plus beau : https://panel.holoviz.org/user_guide/index.html" ] }, { "cell_type": "code", "execution_count": 25, "id": "developmental-sailing", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
yearmonthpassengers
01949Jan112
11949Feb118
21949Mar132
31949Apr129
41949May121
\n", "
" ], "text/plain": [ " year month passengers\n", "0 1949 Jan 112\n", "1 1949 Feb 118\n", "2 1949 Mar 132\n", "3 1949 Apr 129\n", "4 1949 May 121" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import seaborn as sns\n", "\n", "flights = sns.load_dataset(\"flights\")\n", "flights.head(5)" ] }, { "cell_type": "code", "execution_count": 26, "id": "floating-advocacy", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
yearpassengers
count144.000000144.000000
mean1954.500000280.298611
std3.464102119.966317
min1949.000000104.000000
25%1951.750000180.000000
50%1954.500000265.500000
75%1957.250000360.500000
max1960.000000622.000000
\n", "
" ], "text/plain": [ " year passengers\n", "count 144.000000 144.000000\n", "mean 1954.500000 280.298611\n", "std 3.464102 119.966317\n", "min 1949.000000 104.000000\n", "25% 1951.750000 180.000000\n", "50% 1954.500000 265.500000\n", "75% 1957.250000 360.500000\n", "max 1960.000000 622.000000" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "flights.describe()" ] }, { "cell_type": "code", "execution_count": 12, "id": "atlantic-adolescent", "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, js_modules, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", " if (js_modules == null) js_modules = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls.length === 0 && js_modules.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error() {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (var i = 0; i < css_urls.length; i++) {\n", " var url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " var skip = [];\n", " if (window.requirejs) {\n", " window.requirejs.config({'paths': {'tabulator': 'https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator'}});\n", " require([\"tabulator\"], function(Tabulator,) {\n", " window.Tabulator = Tabulator;\n", " })\n", " }\n", " if (((window['tabulator'] !== undefined) && (!(window['tabulator'] instanceof HTMLElement))) || window.requirejs) {\n", " var urls = ['https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator.js', 'https://unpkg.com/moment@2.27.0/moment.js'];\n", " for (var i = 0; i < urls.length; i++) {\n", " skip.push(urls[i])\n", " }\n", " }\n", " for (var i = 0; i < js_urls.length; i++) {\n", " var url = js_urls[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " for (var i = 0; i < js_modules.length; i++) {\n", " var url = js_modules[i];\n", " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", " element.src = url;\n", " element.type = \"module\";\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " if (!js_urls.length && !js_modules.length) {\n", " on_load()\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " var js_urls = [\"https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator.js\", \"https://unpkg.com/moment@2.27.0/moment.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.0.min.js\", \"https://unpkg.com/@holoviz/panel@^0.11.1/dist/panel.min.js\"];\n", " var js_modules = [];\n", " var css_urls = [\"https://unpkg.com/tabulator-tables@4.9.3/dist/css/tabulator_simple.min.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/loading.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/json.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.11.1/dist/css/card.css\"];\n", " var inline_js = [\n", " function(Bokeh) {\n", " inject_raw_css(\"\\n .bk.pn-loading.arcs:before {\\n background-image: url(\\\"data:image/svg+xml;base64,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\\\")\\n }\\n \");\n", " },\n", " function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", " function(Bokeh) {} // ensure no trailing comma for IE\n", " ];\n", "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", " for (var i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " }\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", " run_inline_js();\n", " } else {\n", " load_libs(css_urls, js_urls, js_modules, function() {\n", " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", " run_inline_js();\n", " });\n", " }\n", "}(window));" ], "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'paths': {'tabulator': 'https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator'}});\n require([\"tabulator\"], function(Tabulator,) {\n window.Tabulator = Tabulator;\n })\n }\n if (((window['tabulator'] !== undefined) && (!(window['tabulator'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://unpkg.com/tabulator-tables@4.9.3/dist/js/tabulator.js', 'https://unpkg.com/moment@2.27.0/moment.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) >= 0) { on_load(); continue; }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) >= 0) { on_load(); continue; }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = 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\n", "" ], "text/plain": [ "DatePicker(name='Date Picker')" ] }, "execution_count": 12, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1002" } }, "output_type": "execute_result" } ], "source": [ "import panel as pn\n", "pn.extension()\n", "\n", "date_picker = pn.widgets.DatePicker(name='Date Picker')\n", "\n", "date_picker" ] }, { "cell_type": "code", "execution_count": 18, "id": "proper-leader", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "datetime.date(2021, 3, 15)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "date_picker.value" ] }, { "cell_type": "code", "execution_count": 17, "id": "parliamentary-diploma", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Mar'" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import calendar\n", "calendar.month_abbr[date_picker.value.month]" ] }, { "cell_type": "code", "execution_count": 27, "id": "turned-niger", "metadata": {}, "outputs": [], "source": [ "def filter_date(date):\n", " display(flights[\n", " (flights.year == date_picker.value.year) & \n", " (flights.month == calendar.month_abbr[date_picker.value.month])])" ] }, { "cell_type": "code", "execution_count": 28, "id": "satellite-action", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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yearmonthpassengers
831955Dec278
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" ], "text/plain": [ " year month passengers\n", "83 1955 Dec 278" ] }, "metadata": {}, "output_type": "display_data" }, { "data": {}, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
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\n", "" ], "text/plain": [ "Column\n", " [0] Column\n", " [0] DatePicker(name='Date Picker', value=datetime.date(1955, ...)\n", " [1] Row\n", " [0] Str(None, name='interactive00111')" ] }, "execution_count": 28, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "1014" } }, "output_type": "execute_result" } ], "source": [ "from panel.interact import interact\n", "\n", "interact(filter_date, date = date_picker)" ] }, { "cell_type": "markdown", "id": "strange-marine", "metadata": {}, "source": [ "# bqplot\n", "\n", "https://bqplot.readthedocs.io/" ] }, { "cell_type": "code", "execution_count": 1, "id": "resistant-jenny", "metadata": {}, "outputs": [], "source": [ "from bqplot import pyplot as plt" ] }, { "cell_type": "code", "execution_count": 28, "id": "beneficial-glucose", "metadata": {}, "outputs": [], "source": [ "x = flights.index\n", "y = flights.passengers" ] }, { "cell_type": "code", "execution_count": 29, "id": "julian-smooth", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cf9bf7d6d32e4073b99ce42790d5aac8", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Figure(axes=[Axis(scale=LinearScale()), Axis(orientation='vertical', scale=LinearScale())], fig…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure( title='Line Chart')\n", "p = plt.plot(x,y)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "primary-negative", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.2" }, "toc-autonumbering": true }, "nbformat": 4, "nbformat_minor": 5 }