app.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This is markdown text in Jupyter\n",
    "\n",
    "## This page is a site hosted seperately from the lab website\n",
    "\n",
    "## Voila Web App\n",
    "\n",
    "## A website built out of a Jupyter notebook using Voila"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "95da443e125942d69e69eff2051b27b9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=-1.0, description='a', max=0.0, min=-1.0), FloatSlider(value=0.55, des…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from ipywidgets import interactive\n",
    "%matplotlib inline\n",
    "\n",
    "import csv\n",
    "with open('SyntheticData.csv', newline='') as csvfile:\n",
    "    spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')\n",
    "\n",
    "def plot_func(a, f):\n",
    "    plt.figure(2)\n",
    "    x = np.linspace(0, 2*np.pi, num=1000)\n",
    "    y = a*np.sin(1/f*x)\n",
    "    plt.plot(x,y)\n",
    "    plt.ylim(-1.1, 1.1)\n",
    "    plt.title('a sin(f)')\n",
    "    plt.show()\n",
    "\n",
    "interactive_plot = interactive(plot_func, a=(-1,0,0.1), f=(0.1, 1))\n",
    "output = interactive_plot.children[-1]\n",
    "output.layout.height = '300px'\n",
    "interactive_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}