{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Managing multiple figures in pyplot\n\n`matplotlib.pyplot` uses the concept of a *current figure* and *current axes*.\nFigures are identified via a figure number that is passed to `~.pyplot.figure`.\nThe figure with the given number is set as *current figure*. Additionally, if\nno figure with the number exists, a new one is created.\n\n<div class=\"alert alert-info\"><h4>Note</h4><p>We discourage working with multiple figures through the implicit pyplot\n    interface because managing the *current figure* is cumbersome and\n    error-prone. Instead, we recommend using the explicit approach and call\n    methods on Figure and Axes instances. See `api_interfaces` for an\n    explanation of the trade-offs between the implicit and explicit interfaces.</p></div>\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)\ns1 = np.sin(2*np.pi*t)\ns2 = np.sin(4*np.pi*t)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create figure 1\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "plt.figure(1)\nplt.subplot(211)\nplt.plot(t, s1)\nplt.subplot(212)\nplt.plot(t, 2*s1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create figure 2\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "plt.figure(2)\nplt.plot(t, s2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now switch back to figure 1 and make some changes\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "plt.figure(1)\nplt.subplot(211)\nplt.plot(t, s2, 's')\nax = plt.gca()\nax.set_xticklabels([])\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": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}