{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Custom Ticker\n\nThe :mod:`matplotlib.ticker` module defines many preset tickers, but was\nprimarily designed for extensibility, i.e., to support user customized ticking.\n\nIn this example, a user defined function is used to format the ticks in\nmillions of dollars on the y-axis.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n\n\ndef millions(x, pos):\n \"\"\"The two arguments are the value and tick position.\"\"\"\n return f'${x*1e-6:1.1f}M'\n\n\nfig, ax = plt.subplots()\n# set_major_formatter internally creates a FuncFormatter from the callable.\nax.yaxis.set_major_formatter(millions)\nmoney = [1.5e5, 2.5e6, 5.5e6, 2.0e7]\nax.bar(['Bill', 'Fred', 'Mary', 'Sue'], money)\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.axis.Axis.set_major_formatter`\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 }