{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# violinplot(D)\nMake a violin plot.\n\nSee `~matplotlib.axes.Axes.violinplot`.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\nimport numpy as np\n\nplt.style.use('_mpl-gallery')\n\n# make data:\nnp.random.seed(10)\nD = np.random.normal((3, 5, 4), (0.75, 1.00, 0.75), (200, 3))\n\n# plot:\nfig, ax = plt.subplots()\n\nvp = ax.violinplot(D, [2, 4, 6], widths=2,\n showmeans=False, showmedians=False, showextrema=False)\n# styling:\nfor body in vp['bodies']:\n body.set_alpha(0.9)\nax.set(xlim=(0, 8), xticks=np.arange(1, 8),\n ylim=(0, 8), yticks=np.arange(1, 8))\n\nplt.show()" ] } ], "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 }