{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Jupyter Notebooks\n",
    "\n",
    "The [nbsphinx extension](https://github.com/spatialaudio/nbsphinx) allow notebooks to be seemlessly integrated into a Sphinx website.  This page demonstrates how notebooks are rendered.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## facebook\n",
    "\n",
    "\n",
    "| asfasdfasdfasdf \t| asdfasdf \t| asdfasdf \t| asdfasdfasdf \t| asdfasdfasdfasdf \t|\n",
    "|-----------------\t|----------\t|----------\t|--------------\t|------------------\t|\n",
    "| 1324            \t| 2        \t| 2        \t| 1            \t| 1                \t|\n",
    "| 1234            \t| 2        \t| 2        \t| 1            \t| 1                \t|\n",
    "| 1234            \t| 2        \t| 2        \t| 2            \t| 1                \t|\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Stretch/Untouched | ProbDistribution | Accuracy |\n",
    "| :- | -: | :-: |\n",
    "| Stretched | Gaussian | .843"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<tbody>\n",
       "<tr><td>Sun  </td><td style=\"text-align: right;\">696000</td><td style=\"text-align: right;\">   1.9891e+09</td></tr>\n",
       "<tr><td>Earth</td><td style=\"text-align: right;\">  6371</td><td style=\"text-align: right;\">5973.6       </td></tr>\n",
       "<tr><td>Moon </td><td style=\"text-align: right;\">  1737</td><td style=\"text-align: right;\">  73.5       </td></tr>\n",
       "<tr><td>Mars </td><td style=\"text-align: right;\">  3390</td><td style=\"text-align: right;\"> 641.85      </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import HTML, display\n",
    "import tabulate\n",
    "table = [[\"Sun\",696000,1989100000],\n",
    "         [\"Earth\",6371,5973.6],\n",
    "         [\"Moon\",1737,73.5],\n",
    "         [\"Mars\",3390,641.85]]\n",
    "display(HTML(tabulate.tabulate(table, tablefmt='html')))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## DataFrames\n",
    "\n",
    "pandas DataFrames are rendered with useful markup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame({'ints': [1, 2, 3], \n",
    "                   'floats': [np.pi, np.exp(1), (1+np.sqrt(5))/2],\n",
    "                   'strings': ['aardvark', 'bananarama', 'charcuterie' ]})\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Plots and Figures\n",
    "\n",
    "matplotlib can be used to produce plots in notebooks\n",
    "\n",
    "This example comes from the [matplotlib gallery](https://matplotlib.org/3.1.1/gallery/ticks_and_spines/colorbar_tick_labelling_demo.html#sphx-glr-gallery-ticks-and-spines-colorbar-tick-labelling-demo-py)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "is_executing": false,
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12,8))\n",
    "\n",
    "data = np.clip(np.random.randn(250, 250), -1, 1)\n",
    "\n",
    "cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)\n",
    "ax.set_title('Gaussian noise with vertical colorbar', fontsize=16)\n",
    "plt.tick_params(labelsize=16)\n",
    "\n",
    "# Add colorbar, make sure to specify tick locations to match desired ticklabels\n",
    "cbar = fig.colorbar(cax, ticks=[-1, 0, 1])\n",
    "cbar.ax.set_yticklabels(['< -1', '0', '> 1'])  # vertically oriented colorbar\n",
    "cbar.ax.tick_params(labelsize=16)"
   ]
  }
 ],
 "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": "3.7.1"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": []
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}