Switching inline and qt5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from contextlib import contextmanager"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Context Managers for switching backends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "@contextmanager\n",
    "def inline():\n",
    "    %matplotlib inline\n",
    "    plt.ion()\n",
    "    yield"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "@contextmanager\n",
    "def window(block=False):\n",
    "    %matplotlib qt5\n",
    "    plt.ioff()\n",
    "    yield\n",
    "    plt.show(block=block)\n",
    "    \n",
    "    if block:\n",
    "        %matplotlib inline\n",
    "    else:\n",
    "        # Can't return to inline without blocking because it would immediately close the plot window\n",
    "        # Plot windows don't survive backend change\n",
    "        print('Note: Backend is still set to qt5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot without context\n",
    " - Plots inline per notebook default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x211e568c9b0>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([0, 1, 3, 4], [2, 5, 3, 6])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting with Context"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with inline():\n",
    "    plt.plot([1, 2, 3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Window (qt5)\n",
    " - Pops up a matplotlib window for easy interaction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blocking off\n",
    " - Jupyter is live while window is up\n",
    " - `qt5` backend is still on afterwards"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note: Backend is still set to qt5\n"
     ]
    }
   ],
   "source": [
    "with window():\n",
    "    plt.plot([1, 3, 2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blocking on\n",
    " - Jupyter is frozen while plot is up\n",
    " - Backend is returned to `inline` after exiting context manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "with window(block=True):\n",
    "    plt.plot([1, 3, 2])"
   ]
  },
  {
   "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": "3.7.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "toc-autonumbering": true
 },
 "nbformat": 4,
 "nbformat_minor": 4
}