{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Plotting categorical variables\n\nYou can pass categorical values (i.e. strings) directly as x- or y-values to\nmany plotting functions:\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n\ndata = {'apple': 10, 'orange': 15, 'lemon': 5, 'lime': 20}\nnames = list(data.keys())\nvalues = list(data.values())\n\nfig, axs = plt.subplots(1, 3, figsize=(9, 3), sharey=True)\naxs[0].bar(names, values)\naxs[1].scatter(names, values)\naxs[2].plot(names, values)\nfig.suptitle('Categorical Plotting')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Categorical values are a mapping from names to positions. This means that\nvalues that occur multiple times are mapped to the same position. See the\n``cat`` and ``dog`` values \"happy\" and \"bored\" on the y-axis in the following\nexample.\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "cat = [\"bored\", \"happy\", \"bored\", \"bored\", \"happy\", \"bored\"]\ndog = [\"happy\", \"happy\", \"happy\", \"happy\", \"bored\", \"bored\"]\nactivity = [\"combing\", \"drinking\", \"feeding\", \"napping\", \"playing\", \"washing\"]\n\nfig, ax = plt.subplots()\nax.plot(activity, dog, label=\"dog\")\nax.plot(activity, cat, label=\"cat\")\nax.legend()\n\nplt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. tags::\n\n plot-type: specialty\n level: beginner\n\n" ] } ], "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": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 0 }