{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an interactive demo, not intended for proper viewing on a static page."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "random.seed(None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "VPython example (does not run in notebook):\n",
    "\n",
    "```python\n",
    "import vpython as vp\n",
    "jmax = 100\n",
    "x = 0.0\n",
    "y = 0.0\n",
    "pts = vp.gcurve()\n",
    "pts.plot(pos=(x,y))\n",
    "         \n",
    "for i in range(0, jmax+1):\n",
    "    x += (random.random() - 0.5)*2\n",
    "    y += (random.random() - 0.5)*2\n",
    "    pts.plot(pos=(x,y))\n",
    "    vp.rate(5)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment if in widget mode available\n",
    "#%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "line, = plt.plot([0], [0], '.-')\n",
    "ax.set_xlim(-5,5)\n",
    "ax.set_ylim(-5,5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "jmax = 100\n",
    "x = 0.0\n",
    "y = 0.0\n",
    "plt.ion()\n",
    "\n",
    "for i in range(0, jmax+1):\n",
    "    x += (random.random() - 0.5)*2\n",
    "    y += (random.random() - 0.5)*2\n",
    "    xs, ys = line.get_data()\n",
    "    xs = np.append(xs, [x])\n",
    "    ys = np.append(ys, [y])\n",
    "    line.set_data(xs, ys)\n",
    "    time.sleep(.2)\n",
    "    print(i, end=\" \")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "compclass",
   "language": "python",
   "name": "compclass"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}