{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bonus Example: Animations in notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation\n",
    "from IPython.display import HTML\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "FRAMES = 50\n",
    "\n",
    "x = np.linspace(0, 2*np.pi)\n",
    "\n",
    "def f(x, phi=0):\n",
    "    return np.sin(x - phi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Animated figure:\n",
    "\n",
    "- `FuncAnimation` generates a sequence of images from a figure.  \n",
    "  Before each image the figure is updated using a callback function.\n",
    "- The animation can be rendered to HTML and then embedded in IPython."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "line, = ax.plot(x, f(x))\n",
    "text = ax.set_title('Frame 0')\n",
    "\n",
    "def animate(i):\n",
    "    phi = 2 * np.pi * i / FRAMES\n",
    "    line.set_data(x, f(x, phi))\n",
    "    text.set_text(F'Frame {i}')\n",
    "\n",
    "ani = matplotlib.animation.FuncAnimation(fig, animate, frames=FRAMES)\n",
    "plt.close(fig)\n",
    "HTML(ani.to_jshtml(fps=20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "    <b>Task:</b> Add a title to the above animation, that displays the current phase phi.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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