notebooks/title_bbox_encoding_spiegel-de.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Original Graphic:  \n",
    "    \n",
    "https://www.spiegel.de/wissenschaft/medizin/coronavirus-in-europa-die-zweite-welle-rollt-a-1d5b12a1-162d-48a3-8e1e-40235c996080?sara_ecid=soci_upd_wbMbjhOSvViISjc8RPU89NcCvtlFcJ  \n",
    "\n",
    "von Julia Merlot (@EinguterMerlot) und Patrick Stotz (@PatrickStotz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "from highlight_text import HighlightText, ax_text, fig_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using matplotlibs new subplot_mosaic feature we can lay out our plot in advance.\n",
    "layout = [['title'],\n",
    "          ['main'],\n",
    "          ['annot']]\n",
    "# We can also do more complex layouts like the one shown here, see the docs here:\n",
    "# https://matplotlib.org/3.3.0/tutorials/provisional/mosaic.html\n",
    "\n",
    "\n",
    "# gridspec_kw allows us to set the height_ratios and width_ratios\n",
    "fig, axd = plt.subplot_mosaic(layout,\n",
    "                              constrained_layout=False,\n",
    "                              figsize=(13, 10),\n",
    "                              gridspec_kw={'height_ratios': [0.2, 0.6, 0.2]})\n",
    "\n",
    "bbox_pad = 1.5\n",
    "bboxprops = {'linewidth': 0, 'pad': bbox_pad}\n",
    "\n",
    "# ax_text allows us to highlight text within delimiters <> using different\n",
    "# colors, weights, bbox_kws and path_effect_kws for each <subtext>\n",
    "title=\\\n",
    "ax_text(s='<Das Infektionsgeschehen in Europa>\\n\\n'\n",
    "          'Täglich bestätigte Neuinfektionen in <Tschechien>  <Belgien>  <Niederlande>  <Spanien>\\n'\n",
    "          '<Italien>  <Deutschland> und <weiteren Ländern> (7-Tage Durchschnitt)*',\n",
    "        x=0,\n",
    "        y=0.4,\n",
    "        va='center',\n",
    "        highlight_textprops=[{'fontsize': 24, 'color': 'k', 'weight': 'bold'},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#67001f', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#b2182b', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#fdae61', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#053061', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#4393c3', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#92c5de', **bboxprops}},\n",
    "                             {'color': 'w', 'weight': 'bold', 'bbox': {'facecolor':'#969696', **bboxprops}}],\n",
    "        ax=axd['title'],\n",
    "        fontname='Roboto',\n",
    "        fontsize = 16\n",
    "       );\n",
    "\n",
    "\n",
    "texts = ax_text(s='<*Aufgrund der deutlich höheren Zahl an Tests sind die Werte aus dem Frühjahr nur eingeschränkt mit>\\n'\n",
    "                  '<denen aus dem Herbst vergleichbar>\\n\\n'\n",
    "                  'Quelle: <Johns Hopkins CSSE>, Stand 14.10.2020, eigene Berechnung        Plotdesign: <DER SPIEGEL>',\n",
    "                highlight_textprops=[{'color': 'k', 'weight': 'regular'}, \n",
    "                                     {'color': 'k', 'weight': 'regular'}, \n",
    "                                     {'color': 'k', 'weight': 'bold'},\n",
    "                                     {'color': '#fc5203', 'weight': 'bold'}],\n",
    "                color='#969696',\n",
    "                ax=axd['annot'],\n",
    "                x=0, y=0.1, fontsize=13, va='bottom')\n",
    "\n",
    "axd['title'].axis('off');\n",
    "axd['annot'].axis('off');\n",
    "axd['main'].tick_params(axis='both', colors='None')\n",
    "\n",
    "axd['main'].text(x=0.5, y=0.5, s='Main', color='darkgrey', fontsize=48, ha=\"center\", va=\"center\")\n",
    "\n",
    "#plt.savefig('../examples/title_bboxes_example-spiegel.png', facecolor='w', dpi=200, bbox_inches='tight')"
   ]
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}