{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#### Get and Change a Public Figure" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import chart_studio.plotly as py\n", "# Learn about API authentication here: https://plotly.com/python/getting-started\n", "# Find your api_key here: https://plotly.com/settings/api\n", "\n", "fig = py.get_figure(\"https://plotly.com/~PlotBot/5\")\n", "\n", "fig['layout']['title'] = \"Never forget that title!\"\n", "\n", "py.iplot(fig, filename=\"python-change_plot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Get Data and Change Plot" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import chart_studio.plotly as py\n", "import plotly.graph_objects as go\n", "# Learn about API authentication here: https://plotly.com/python/getting-started\n", "# Find your api_key here: https://plotly.com/settings/api\n", "\n", "data = py.get_figure(\"https://plotly.com/~PythonPlotBot/3483\").data\n", "distance = [d['y'][0] for d in data] # check out the data for yourself!\n", "\n", "fig = go.Figure()\n", "fig.add_histogram(y=distance, name=\"flyby distance\", histnorm='probability')\n", "xaxis = dict(title=\"Probability for Flyby at this Distance\")\n", "yaxis = dict(title=\"Distance from Earth (Earth Radii)\")\n", "fig.update_layout(title=\"data source: https://plotly.com/~AlexHP/68\", xaxis=xaxis, yaxis=yaxis)\n", "\n", "plot_url = py.plot(fig, filename=\"python-get-data\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Get and Replot a Public Figure with URL" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import chart_studio.plotly as py\n", "# Learn about API authentication here: https://plotly.com/python/getting-started\n", "# Find your api_key here: https://plotly.com/settings/api\n", "\n", "fig = py.get_figure(\"https://plotly.com/~PlotBot/5\")\n", "\n", "plot_url = py.plot(fig, filename=\"python-replot1\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Get and Replot a Public Figure with ID" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import chart_studio.plotly as py\n", "# Learn about API authentication here: https://plotly.com/python/getting-started\n", "# Find your api_key here: https://plotly.com/settings/api\n", "\n", "fig = py.get_figure(\"PlotBot\", 5)\n", "\n", "plot_url = py.plot(fig, filename=\"python-replot2\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "jupytext": { "notebook_metadata_filter": "all", "text_representation": { "extension": ".md", "format_name": "markdown", "format_version": "1.1", "jupytext_version": "1.1.7" } }, "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": "3.6.5" }, "plotly": { "description": "How to download plotly users's public graphs and data with python.", "display_as": "chart_studio", "has_thumbnail": true, "language": "python", "layout": "base", "name": "Get Requests", "order": 8, "permalink": "python/get-requests/", "thumbnail": "thumbnail/spectral.jpg", "title": "Python Get Requests | Examples | Plotly", "v4upgrade": true } }, "nbformat": 4, "nbformat_minor": 2 }