{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Broken horizontal bars\n\n`~.Axes.broken_barh` creates sequences of horizontal bars. This example shows\na timing diagram.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\nimport numpy as np\n\n# data is a sequence of (start, duration) tuples\ncpu_1 = [(0, 3), (3.5, 1), (5, 5)]\ncpu_2 = np.column_stack([np.linspace(0, 9, 10), np.full(10, 0.5)])\ncpu_3 = np.column_stack([10*np.random.random(61), np.full(61, 0.05)])\ncpu_4 = [(2, 1.7), (7, 1.2)]\ndisk = [(1, 1.5)]\nnetwork = np.column_stack([10*np.random.random(10), np.full(10, 0.05)])\n\nfig, ax = plt.subplots()\n# broken_barh(xranges, (ymin, height))\nax.broken_barh(cpu_1, (-0.2, 0.4))\nax.broken_barh(cpu_2, (0.8, 0.4))\nax.broken_barh(cpu_3, (1.8, 0.4))\nax.broken_barh(cpu_4, (2.8, 0.4))\nax.broken_barh(disk, (3.8, 0.4), color=\"tab:orange\")\nax.broken_barh(network, (4.8, 0.4), color=\"tab:green\")\nax.set_xlim(0, 10)\nax.set_yticks(range(6),\n labels=[\"CPU 1\", \"CPU 2\", \"CPU 3\", \"CPU 4\", \"disk\", \"network\"])\nax.invert_yaxis()\nax.set_title(\"Resource usage\")\n\nplt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ".. admonition:: References\n\n The use of the following functions, methods, classes and modules is shown\n in this example:\n\n - `matplotlib.axes.Axes.broken_barh` / `matplotlib.pyplot.broken_barh`\n - `matplotlib.axes.Axes.invert_yaxis`\n - `matplotlib.axes.Axes.set_yticks`\n\n.. tags::\n\n component: annotation\n plot-type: bar\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 }