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diff --git a/megapixels/notebooks/msc/test_plotly.ipynb b/megapixels/notebooks/msc/test_plotly.ipynb new file mode 100644 index 00000000..b12cb142 --- /dev/null +++ b/megapixels/notebooks/msc/test_plotly.ipynb @@ -0,0 +1,1185 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Test Plotly" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Demo" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from plotly.offline import iplot, init_notebook_mode\n", + "import plotly.graph_objs as go\n", + "import plotly.io as pio\n", + "\n", + "import os\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " <script type=\"text/javascript\">\n", + " window.PlotlyConfig = {MathJaxConfig: 'local'};\n", + " if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n", + " if (typeof require !== 'undefined') {\n", + " require.undef(\"plotly\");\n", + " requirejs.config({\n", + " paths: {\n", + " 'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n", + " }\n", + " });\n", + " require(['plotly'], function(Plotly) {\n", + " window._Plotly = Plotly;\n", + " });\n", + " }\n", + " </script>\n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "init_notebook_mode(connected=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + "plotlyServerURL": "https://plot.ly", + "showLink": false + }, + "data": [ + { + "marker": { + "color": [ + 0.6293828317071586, + 0.10871757916572877, + 0.68311690821298, + 0.9868548358867593, + 0.9356744842281925, + 0.9790537247648904, + 0.3258180192640453, + 0.12391204805045775, + 0.8350240537325824, + 0.5369662542168598, + 0.5431266213529744, + 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MutationObserver(function (mutations, observer) {{\n", + " var display = window.getComputedStyle(gd).display;\n", + " if (!display || display === 'none') {{\n", + " console.log([gd, 'removed!']);\n", + " Plotly.purge(gd);\n", + " observer.disconnect();\n", + " }}\n", + "}});\n", + "\n", + "// Listen for the removal of the full notebook cells\n", + "var notebookContainer = gd.closest('#notebook-container');\n", + "if (notebookContainer) {{\n", + " x.observe(notebookContainer, {childList: true});\n", + "}}\n", + "\n", + "// Listen for the clearing of the current output cell\n", + "var outputEl = gd.closest('.output');\n", + "if (outputEl) {{\n", + " x.observe(outputEl, {childList: true});\n", + "}}\n", + "\n", + " })\n", + " };\n", + " });\n", + " </script>\n", + " </div>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "N = 100\n", + "x = np.random.rand(N)\n", + "y = np.random.rand(N)\n", + "colors = np.random.rand(N)\n", + "sz = np.random.rand(N)*30\n", + "\n", + "fig = go.Figure()\n", + "fig.add_scatter(x=x,\n", + " y=y,\n", + " mode='markers',\n", + " marker={'size': sz,\n", + " 'color': colors,\n", + " 'opacity': 0.6,\n", + " 'colorscale': 'Viridis'\n", + " });\n", + "iplot(fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "if not os.path.exists('images'):\n", + " os.mkdir('images')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import psutil" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "pio.write_image(fig, 'images/fig1.png')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pie Chart" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "linkText": "Export to plot.ly", + 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Rep.", + "Congo, Rep.", + "Costa Rica", + "Cote d'Ivoire", + "Croatia", + "Cuba", + "Czech Republic", + "Denmark", + "Djibouti", + "Dominican Republic", + "Ecuador", + "Egypt", + "El Salvador", + "Equatorial Guinea", + "Eritrea", + "Ethiopia", + "Finland", + "France", + "Gabon", + "Gambia", + "Germany", + "Ghana", + "Greece", + "Guatemala", + "Guinea", + "Guinea-Bissau", + "Haiti", + "Honduras", + "Hong Kong, China", + "Hungary", + "Iceland", + "India", + "Indonesia", + "Iran", + "Iraq", + "Ireland", + "Israel", + "Italy", + "Jamaica", + "Japan", + "Jordan", + "Kenya", + "Korea, Dem. Rep.", + "Korea, Rep.", + "Kuwait", + "Lebanon", + "Lesotho", + "Liberia", + "Libya", + "Madagascar", + "Malawi", + "Malaysia", + "Mali", + "Mauritania", + "Mauritius", + "Mexico", + "Mongolia", + "Montenegro", + "Morocco", + "Mozambique", + "Myanmar", + "Namibia", + "Nepal", + "Netherlands", + "New Zealand", + "Nicaragua", + "Niger", + "Nigeria", + "Norway", + "Oman", + "Pakistan", + "Panama", + "Paraguay", + "Peru", + "Philippines", + "Poland", + "Portugal", + "Puerto Rico", + "Reunion", + "Romania", + "Rwanda", + "Sao Tome and Principe", + "Saudi Arabia", + "Senegal", + "Serbia", + "Sierra Leone", + "Singapore", + "Slovak Republic", + "Slovenia", + "Somalia", + "South Africa", + "Spain", + "Sri Lanka", + "Sudan", + "Swaziland", + "Sweden", + "Switzerland", + "Syria", + "Taiwan", + "Tanzania", + "Thailand", + "Togo", + "Trinidad and Tobago", + "Tunisia", + "Turkey", + "Uganda", + "United Kingdom", + "United States", + "Uruguay", + "Venezuela", + "Vietnam", + "West Bank and Gaza", + 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Plotly.purge(gd);\n", + " observer.disconnect();\n", + " }}\n", + "}});\n", + "\n", + "// Listen for the removal of the full notebook cells\n", + "var notebookContainer = gd.closest('#notebook-container');\n", + "if (notebookContainer) {{\n", + " x.observe(notebookContainer, {childList: true});\n", + "}}\n", + "\n", + "// Listen for the clearing of the current output cell\n", + "var outputEl = gd.closest('.output');\n", + "if (outputEl) {{\n", + " x.observe(outputEl, {childList: true});\n", + "}}\n", + "\n", + " })\n", + " };\n", + " });\n", + " </script>\n", + " </div>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import plotly.plotly as py\n", + "import plotly.graph_objs as go\n", + "import pandas as pd\n", + "\n", + "df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminder2007.csv')\n", + "\n", + "fig = {\n", + " 'data': [\n", + " {\n", + " 'x': df.gdpPercap, \n", + " 'y': df.lifeExp, \n", + " 'text': df.country, \n", + " 'mode': 'markers', \n", + " 'name': '2007'},\n", + " ],\n", + " 'layout': {\n", + " 'xaxis': {'title': 'GDP per Capita', 'type': 'log'},\n", + " 'yaxis': {'title': \"Life Expectancy\"}\n", + " }\n", + "}\n", + "\n", + "iplot(fig, filename='pandas-multiple-scatter')" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "pio.write_image(fig, 'images/scatter.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "megapixels", + "language": "python", + "name": "megapixels" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} |