{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Function animation\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib.animation import FuncAnimation\n\nfig, ax = plt.subplots()\nxdata, ydata = [], []\n(ln,) = plt.plot([], [], \"ro\", animated=True)\n\n\ndef init():\n    ax.set_xlim(0, 2 * np.pi)\n    ax.set_ylim(-1, 1)\n    return (ln,)\n\n\ndef update(frame):\n    xdata.append(frame)\n    ydata.append(np.sin(frame))\n    ln.set_data(xdata, ydata)\n    return (ln,)\n\n\nani = FuncAnimation(\n    fig,\n    update,\n    frames=np.linspace(0, 2 * np.pi, 128),\n    init_func=init,\n    blit=True,\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
}