{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Color by y-value\n\nUse masked arrays to plot a line with different colors by y-value.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\nimport numpy as np\n\nt = np.arange(0.0, 2.0, 0.01)\ns = np.sin(2 * np.pi * t)\n\nupper = 0.77\nlower = -0.77\n\nsupper = np.ma.masked_where(s < upper, s)\nslower = np.ma.masked_where(s > lower, s)\nsmiddle = np.ma.masked_where((s < lower) | (s > upper), s)\n\nfig, ax = plt.subplots()\nax.plot(t, smiddle, t, slower, t, supper)\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.plot` / `matplotlib.pyplot.plot`\n\n.. tags::\n\n styling: color\n styling: conditional\n plot-type: line\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": "3.13.5" } }, "nbformat": 4, "nbformat_minor": 0 }