{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "#%matplotlib inline\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets\n",
    "\n",
    "from matplotlib.animation import FuncAnimation\n",
    "from IPython.display import HTML\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5447d50f9dfe4d9f82f766e11b682e23",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "A Jupyter Widget"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.<lambda>>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def wave_anim(k, c):\n",
    "    x = np.linspace(-5, 5, 1000)\n",
    "    fig, ax = plt.subplots()\n",
    "    im, = ax.plot(x, np.sin(x))\n",
    "    update = lambda t: im.set_data(x, np.sin(k*x-c*k*t))\n",
    "    anim = FuncAnimation(fig, update, interval=100, frames=int(2*np.pi/(c*k)))\n",
    "    return anim\n",
    "\n",
    "display = lambda k, c: HTML(wave_anim(k, c).to_jshtml())\n",
    "interact(display, k=(0.1, 5, 0.1), c=(0.01, 0.5, 0.01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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