0_configuring_fonts.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as fm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Default Setting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "font.cursive: ['Apple Chancery', 'Textile', 'Zapf Chancery', 'Sand', 'Script MT', 'Felipa', 'cursive']\n",
      "font.family: ['sans-serif']\n",
      "font.fantasy: ['Comic Sans MS', 'Chicago', 'Charcoal', 'Impact', 'Western', 'Humor Sans', 'xkcd', 'fantasy']\n",
      "font.monospace: ['DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Computer Modern Typewriter', 'Andale Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed', 'Terminal', 'monospace']\n",
      "font.sans-serif: ['DejaVu Sans', 'Bitstream Vera Sans', 'Computer Modern Sans Serif', 'Lucida Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant Garde', 'sans-serif']\n",
      "font.serif: ['DejaVu Serif', 'Bitstream Vera Serif', 'Computer Modern Roman', 'New Century Schoolbook', 'Century Schoolbook L', 'Utopia', 'ITC Bookman', 'Bookman', 'Nimbus Roman No9 L', 'Times New Roman', 'Times', 'Palatino', 'Charter', 'serif']\n",
      "font.size: 10.0\n",
      "font.stretch: normal\n",
      "font.style: normal\n",
      "font.variant: normal\n",
      "font.weight: normal\n",
      "legend.fontsize: medium\n",
      "legend.title_fontsize: None\n",
      "mathtext.fontset: dejavusans\n",
      "pdf.fonttype: 3\n",
      "pdf.use14corefonts: False\n",
      "pgf.rcfonts: True\n",
      "ps.fonttype: 3\n",
      "svg.fonttype: path\n"
     ]
    }
   ],
   "source": [
    "for key in plt.rcParamsDefault.keys():\n",
    "    if 'font' in key:\n",
    "        print(\"{}: {}\".format(key, plt.rcParamsDefault[key]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installing ttf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/matplotlib/mpl-data'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpl.get_data_path()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "버전:  3.0.3\n",
      "설치 위치:  /home/ch6845/tools/miniconda3/lib/python3.7/site-packages/matplotlib/__init__.py\n",
      "설정 위치:  /home/ch6845/.config/matplotlib\n",
      "캐시 위치:  /home/ch6845/.cache/matplotlib\n",
      "데이터 위치:  /home/ch6845/tools/miniconda3/lib/python3.7/site-packages/matplotlib/mpl-data\n"
     ]
    }
   ],
   "source": [
    "print ('버전: ', mpl.__version__)\n",
    "print ('설치 위치: ', mpl.__file__)\n",
    "print ('설정 위치: ', mpl.get_configdir())\n",
    "print ('캐시 위치: ', mpl.get_cachedir())\n",
    "print ('데이터 위치: ', mpl.get_data_path())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17\n",
      "['/usr/share/fonts/liberation/LiberationMono-Regular.ttf', '/usr/share/fonts/stix/STIX-BoldItalic.otf', '/usr/share/fonts/dejavu/DejaVuSans-ExtraLight.ttf', '/usr/share/fonts/stix/STIX-Regular.otf', '/usr/share/fonts/dejavu/DejaVuSans.ttf', '/usr/share/fonts/liberation/LiberationMono-Italic.ttf', '/usr/share/fonts/liberation/LiberationMono-BoldItalic.ttf', '/usr/share/fonts/dejavu/DejaVuSans-BoldOblique.ttf', '/usr/share/fonts/dejavu/DejaVuSansCondensed-Bold.ttf', '/usr/share/fonts/dejavu/DejaVuSans-Oblique.ttf', '/usr/share/fonts/stix/STIX-Italic.otf', '/usr/share/fonts/liberation/LiberationMono-Bold.ttf', '/usr/share/fonts/dejavu/DejaVuSansCondensed-BoldOblique.ttf', '/usr/share/fonts/dejavu/DejaVuSans-Bold.ttf', '/usr/share/fonts/dejavu/DejaVuSansCondensed.ttf', '/usr/share/fonts/dejavu/DejaVuSansCondensed-Oblique.ttf', '/usr/share/fonts/stix/STIX-Bold.otf']\n"
     ]
    }
   ],
   "source": [
    "font_list = fm.findSystemFonts(fontpaths=None, fontext='ttf')\n",
    "\n",
    "print(len(font_list))\n",
    "print(font_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Copy ttf file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "copy the file to mp.get_data_path()+/ttf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Delete cache"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ch6845/.cache/matplotlib\n"
     ]
    }
   ],
   "source": [
    "print(matplotlib.get_cachedir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Arial'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop=fm.FontProperties(fname='/home/ch6845/tools/fonts/ARIALBI.TTF')\n",
    "prop.get_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# 설정되어있는 폰트 사이즈\n",
      "10.0\n",
      "# 설정되어있는 폰트 글꼴\n",
      "['sans-serif']\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print('# 설정되어있는 폰트 사이즈')\n",
    "print (plt.rcParams['font.size'] ) \n",
    "print('# 설정되어있는 폰트 글꼴')\n",
    "print (plt.rcParams['font.family'] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "prop = font_manager.FontProperties(fname=path)\n",
    "mpl.rcParams['font.family'] = prop.get_name()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setting rcParams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Directly setting rcParams everytime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mpl.rcParams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "serif 세리프가 있는 폰트--------\n",
      "['DejaVu Serif', 'Bitstream Vera Serif', 'Computer Modern Roman', 'New Century Schoolbook', 'Century Schoolbook L', 'Utopia', 'ITC Bookman', 'Bookman', 'Nimbus Roman No9 L', 'Times New Roman', 'Times', 'Palatino', 'Charter', 'serif']\n",
      "sans-serif 세리프가 없는 폰트 --------\n",
      "['DejaVu Sans', 'Bitstream Vera Sans', 'Computer Modern Sans Serif', 'Lucida Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant Garde', 'sans-serif']\n",
      "monospace 고정폭 글꼴--------\n",
      "['DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Computer Modern Typewriter', 'Andale Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed', 'Terminal', 'monospace']\n"
     ]
    }
   ],
   "source": [
    "print('serif with serif')\n",
    "print (plt.rcParams['font.serif']) \n",
    "print('sans-serif without serif')\n",
    "print (plt.rcParams['font.sans-serif']) \n",
    "print('monospace fixed-width font--------')\n",
    "print (plt.rcParams['font.monospace'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Write in matplotlib Configuration file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "설정 파일 위치:  /home/ch6845/tools/miniconda3/lib/python3.7/site-packages/matplotlib/mpl-data/matplotlibrc\n"
     ]
    }
   ],
   "source": [
    "print ('설정 파일 위치: ', mpl.matplotlib_fname())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ch6845/tools/miniconda3/lib/python3.7/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['san-serif'] not found. Falling back to DejaVu Sans.\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdMAAAEkCAYAAAB0adsMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XucJGV56PHfAyugoKDsIoYFFyMoG6IRRiSS6BrRgBrIxagkJq7hSOItnmg0qFGRmJxjjHpyIVGMhGOiImo0y3GVqGHFC2tYoyGwBF0uyqLCgkgU5LLwnD/e3mxvTc1Md7/T3dMzv+/nM5/PdHVVvU9XdddTVe+lIjORJEmD223cAUiSNOlMppIkVTKZSpJUyWQqSVIlk6kkSZVMppIkVTKZSpJUyWSqnkTEhojIrr8N445JGqfG7yEj4owxxfHQiHhNRKyLiGsj4raIuK8R28fHEdtSsmzcAUiS+hcRuwFvAF4L7DnmcJa8WZNpRKwCrh1JJNN9LjPXjKlsSVro3gP81riDUOFt3gUqIs5o3kYad0ySFoaI+CXaE+m9wDXAZcC/d/2N66JoQYmItS2351fNx7q9zStJk+f3G6+3A68Bzs7M28cQz5I3VzK9m3JW0499gB9vTLsd2NLnevqdX5IWvYhYATyxMfmdmfnOccSjYtZkmpnfBn6qnxVGxBrgosbkTdZ/Tjb3n7RgHNMy7UMjj0K7sM5UkibLIS3Trhp5FNqFyVSSJsu+LdOsJx0zk6kkTZa9mhMy09b+Y7YoWvNGRAA/SWn4tALYn3Kmtg24Drg0M7ePLUDNKSIOA44GDqJ0QL8F+Dbwhcy8dZyxdet81x4OPJpyu+1BwB7A94FbgauBf1vo37fO9j4CWN752w34AWWb/yfw9cy8dx7K2YNSx7cSOADYm7JvbwKuyMxv1JYxS9kHAFOdcg+gdBu5CbgR2JiZ/zWssidZROxH2WcHUo6nu1O2202UY+m2EcVxJPC4Thy7AzcD11OOCQvvSjwz5/UPWANk42/DfJfTKWsKeB/w3ZYyu//+C/gocEwf615JScbd67kXeNoAcR5AOUg14/rFxnwb5vgcvfytHdK2bsbW0z5tie+Mrvd2A14I/Mcsn2c78Bng2GF8rj6+C78L/BPwvR72we3AeuDp44p5hs/xWOC9wLd6+Ay3dn4zzwX2GKCs4zvb6wdzlHM18HbgwHn6jPcHXg1sAu6bpdx7gIspfTV3H7CsGb/b87zfao8Lc8ZFubB6EfD5zm9upnXdB1wKvBLYc4DPsqplnWu73t8T+D1Kv9iZYrgL+EfgiB7LPLdy+/W2DYew49e0BLJhnst4eOeHPshG+SiwX4/lnNDyg7wR+LE+Yt0N+OeWON45hB/NLl/MIf+ge9qnM30pKVegX+rzs/3xMD7bHPF/vuU70M/fF4GVo4678RkOBT5W8Tku66OsRwAXDlDGDylD4+1W8TmfC2wdoOzLgScNUF7fB9x5+u31+zdrXMBTKXcj+l3vN4Ff6vOzrGpZz9rOe6uBK/sofzvwOz2UeW7l9utp305cnWlEHAv8K/DLA67il4GNEfHIuWbMzE8B/6sx+QDggxGxe4/l/SHwtMa0L1M6WC9JEfEIyjb46T4XfV1EvGUIIc3mZ4CoWP6JwKaIeOw8xdOXiHgK5UriFxn8czyox7KOppwgPX2AMvYGzgQ+FBF9jzMbEW8AzqOcpPXrJ4BPR8QpAyw70SLihcCngEcNsPghwEcj4tXzEMfjgUso1Se92h34m4h4UW3582Gi6kw7fVg/yfQK+PsoVxBfotwe+D7lds9K4MmUM6/u5PcoYH1ETOXc9SZvpBxQn9Q17UnAHwGvmyPenwPe1Jh8K/DczLynZZEtwH6d/w8EHtp4v5cBNL7Xwzzj9EDKPtxx0EvKfvsM5fbjDyn1NMcBv8T0fX16RFyQmV8eTbi7uIty+3AzpSvCrZTbmMsoLSwfTfmuHN1Y7qHARyLi6B6+b/MmIp4JfJz23/nNlG2+iVKdcSflu3cIpfrkiZR91WtZR1CuoPZpefsblCvjLZQqlwMpdXIntcz/bMo+/4U+yn4DJRE3baf0ef8McANlOxwMPAM4ll1PLvYA3h8R92bm+b2WPSLdxwXo/9jw3baJEfEbwDktbyUlsX2SUke5nfJ7fRrwFHY9lgbwpxGRmflns8Qwm5XA29h50rad8l26iLLf7gQe1in7mY3yAd4REZ/OzOtmWP+32Ll9HkL5DnS7kjJA0Wxat+EuhnBLYg3TL5E3zMN6D6S9bvQc4JA5lv1xytlXc9kP91j2wyi3d7uXvQ84YYB4T+qxzDOay873vupz+28YZJ+2fP4fdf2/EThqlmVXAV9pWcenRvi5b6fcJvp54P49LvMTtN/a/6sRxv1ISrJvxvBd4HeAZXMsvycl2X0CuLaHeb/WUtYtwPNnWe7BwN+1LJfAK3r8nMfRXsf3eeDwWZb7adpvKd461/Fklu/2GSPat9XHhs73o60++z+YpW0JpdHaJS3L3Q1M9VDuqjmOCeuBw2ZZ/jG016e+q8fPvbZl2VXzsl+GsKPXtAS7YR7Wu76xzu3Ar/WxfFASbzO2nholURpU3NtYdhst9WGUetJ/aSnr7aP8wczzft0wyD5t2QY7/i4A9uph+Ycw/aTkXno84M3D5953wOV2ozT26Y77h8CDRxT3xpZtfjlw8ADrWjXH+69rKesW4DE9rv+PW5a/EzhojuWC9rq+/0cPjaY63622xm8XDPjdPmNE+7b62ED7yd6lvXzfKXcOPtuy/Jx167Qn0x1/76aHOnPKxdEdjWVvAx7Qw7JrW8qd9fvd8zYdwo5e0xLshsp1Pr5lna8eYD33o9yi617PP9Z8iYEv0DjLB97cMt8lwP1qyprvfdXnttswyD6d4UdzbS8/2q51vLhlHaeOc3v0GPdeTG85+5IRlPv0lu21DXjYEMq6H+0t1X+hz/V8smUdfzLHMs9qWeabwN59lHtoy4H5PuBRPSw7kckUOLIl9tuY4+SlsY59ge+0rGfWFuzMnEy/3DyOzrGet7as46k9LLe2ZblV87FfJqUB0h80Xm8B3tHvSrLUU/5JY/KJfTR4OJNyxdntOMqZNQARcTyl0VG37zFzPelS9ObMvK2P+c+jXI12a9ZLLjiZeSfw4cbknxlB0c3fC8DLM/M7QyjrVyjVIN3WZ+YFfa7nZUzfx6dFxP3mWKbp97OPPoiZeS3lwNwtgJf2uo4J1Lbd3pKZN/S6gs7v9/Qe192LP8j++mb/Q8u0sR4TFnwyjYi9KGeg3c7NwTuUr2+83ovSGGFOmXkf8GuUM7Jur46IZ0bEw4D3s+t2TUrT728NGO9iczvwgX4WyDJoQ7Nz/yCtD8ehGXdP37VBRcSDKI3uul3H9KQ+X5ot1QH+ut+VZObVlC413fYHjmqbvzMYRPNzfpfS0KlfZzM9kbd9rsWi+dnuolRJ9Os8pjd4fEofPR12+EZmbuhzmSuYPoTiWI8Jk9Ca9wmUBg7dvjjoyjLzexFxG7uOb/k44HM9Ln9jRPwapYXgji9NUAaP+Dql60y3dwxwlr6YbczMuVrOtbmaXZvNt41POnQRsT/ws5QRt46gNKJ5IKVrR1vXk4c0XjdbEs63n2V6a8cPVJx8zuW4xuvbKY39BnE+paVtc/1tLbePYnpL74/3eXUDQGZ+JyI+T6mi2uFREbF/Zt7S7/oWsog4kNIXuNtFmdl3L4DMvCsi1lFune6wD2VwkH/rY1UXD1D2fRFxHaWx3w5jOSbsMAnJtPljBfjriBjkgLzDAxqvl/ezcGZuiIg3Ad19Hh/C9KuOS4DX9h/eojbo8HHN28Ij/eFExFOB/0lp1Tvbrce5LIuIfTLzh/MT2TRtfXcHPvmcTUTsDRzemPzVisR9acu01ivTGaZvGrDcHWWv6XodlJPsz1SscyEaxnZb21JGP8l0Io8JTZOQTFe2TDtinsvYf4Bl/oRyFfDzM7xvPWm7QfvBNrdjTULrWee26XuA58zjaveltOwdhmb/QygtVodhf6ZfjV9Zsb7/pDT+6a4mmelEt216Tdmbeyxj0i3E7TZRx4SZLPg6UwZLdP26f78LZGka9nzaO/Mm8ILMvL42sEVoYk4uOon0QuY3kcJwf/TN28pQ+k4Ow4Nbpn1/0JV12iQ0B7Vo+zzzXjbt22imsifZQtxuE3NMmM0kJNO2nb9QrKQ9vh9Rd7anheEdtDcY+gbwTkqSPQb4McrV5p6ZGd1/lIH8R6lt6L9hPWGjbYSk2rKay880CtN8l922bM8jQE0Qt9uQTMJt3h+1TDsiM/9z5JF06Vy1fJjpjaOg1Ml+KCKOy8y7RhuZ5kNE/CTliSLdfkgZPegDnTsTvej7rkeltuEK92Y4t5V/MENZNZrLt5UxjLLblp2p7EnmdhuSSbgyvbll2kK4/fIeypBcMzma8mgpTabnMr0+8AWZ+f4+EimM/rva1vp0WHd32m7x7dcyrScRsRvTr6xnqk+b17JnWHahj3M9CLfbkExCMr2xZdrDRx5Fl4h4CdPr0TZTHv/U7aUR8ezRRKV51uyLd0Vm/uMA62l2Qxi2tjr8xwyprJsp7QO61TQOfBTTj0ltJ9NQRnRqqil7dcu0mcqeZG63IZmEZNrWx+xJLdNGIiKOYvroS7dTnnZxCmXM4G5/23nkmCZLsz/o5wdcT7+Pmat1Scu0tu5l1TLzDsrTc7r91ACd9nd4fMu0r8wwb1vXi6kBy20rO2coY9INe7vBzPtsUZuEZHoR0xPUs+YYZmwoOvWk5zO9nvQlmXllZn6B8oDjbvsC5w/wjMZpnc8rDlLqX7N5f9+3rjr1rvPdjWsuX2D6d+eUIX53vtR4vQ9wwoDr+tUe1r/Dv1EGw+/2i4N8zoh4KKWbW7erBhnIYKHLzBuBaxqTnxIRfVdHdEahOqkx+YfAZQOGNwptg3rMy29jwSfTLM9/3NCYvBL4jdFHw3spTyzodk5mvq/r9Vspg3Z3G6T+tK0Sv+1ZkRqOZivFQfocvnI+AulHZv6A8kSPbquY/+49OzSHAITSSKsvEXEo05Pwzcxwddjpv31RY/KBlIeg9+s0pjfG/OcB1jMpmvtsTwZrdf5cpndd/JchjrY1H4Z2XF3wybTjLS3T/myUt08j4uWUW7ndLqcxsHOnccpvUl9/2tZQwNvFo9Mcf/n4TgOZnnQeePCC+Q2pZ82B2wH+ojN29Hz7GNO31bMi4sQ+1/OXTE9o755j0JOzWqb9WUQ0RzibUUQ8nOkDtifwV72uYwK1jZ38hn6+H527dG3fs78cOKrRGNpxdSKSaWZ+Dvh0Y/KDgU9FxEC30SJir4j47YiY8+ohIqaA5lPkbwd+NTOndd3JzJuprz9tG7WmOW6phqdZR/oIerzi6tSrf5D2sXqHLjMvYnr8y4F/joi2EcVmFRGrZinrHtoPoO+LiLbGKW3rPxN4ZmPyncw9YP56yqhJ3VYBH4iIObv9RcSDgX9i+vCiF2TmoEPcLXiZeTnTr7z3BT4WEXNepXWqrD7C9KcFXZaZC334xctbps3LcXUikmnHWspzE7sdBvxrRLw2IuYclzGKJ0bEOylP0ngXc5yVdNZ7PrBH460Xz9bXdR7qTy9nep/B10bE2ogYdd/Fpej8lml/HhEviYjWJBkRu0fESym3H3fcFm7r9zkKv8H0et4jgU0RcdpcySYi9oiIZ0XEBUx/7GDT24GvNaYtBzZExHNnKWO/iPhbpv9OoDySq/l730XnLtCpTH/iy8mUE4cZu65FxBMo9cuPbbz1feDls5W7SLyE6X2PnwB8vnMy2CoiHk35PjRbu99D2RcLWqcevHncfmFE/F4vOWQ2kzBoAwCZ+e2IOJlSf9rdUXgfyji5r4+IL1AaLHyHcjl/f0o/qB+jDL58NP0PT3gO5QHC3d6bmX/fw7JvpbQ87r7ltaP+dNbn/mXmPRHxD5Qv/Q57A39HucK9nnL//77Gom/MzHU9xKZZZOZnI+Jidm05voxya/EVEfExSneoHwErKInqZMp3bYcbKfv6T0cSdJfM/GZE/Dqwjl2HL3wo8G7gLRHxaUrLy22UK8H9KK2Yj6I8d3XHweWbc5R1d+dJSv/KrvVPK4DzIuIM4OOU5xD/oBPDEyiNV9pGy/kEPd4uzMwvRcSbKc8a7vYUYHNEfJZy8L+B0tDkYMqVyBOZfucggd9eCo9LzMyrO1383td466eASyPii5Sn/1xPOVk5CDge+Dna88brMrNmwPxROoddf5O7U3povD0itlIG0G+eoL0rM98161rn4wnjjSeZr2H6k8w3zOP6j6Q0x297Wvsgf381S1mvaJn/MuD+fcS7nPKFbK7n2T0seyDtT7Of7W/tfO/TTiwbBtmnLfGdMWD55zbWc90wPmejzEMo/TYH+V7dRjlxWtvy3qphx971GdZQBnKo+Y30tK0pXSxurCzro8BeA3zON1aWezfw632WOS/f7QE+6xnNsivW9VuUq8pBt9t9wGv6KG9VyzrWDhj7hsZ6NvS43AMod/76+Zxz7ttJus0LQJb7/Y+nNBBoNo3v16WUs+BpIuLxTL+iuB14TrbUk84kK+pPM/O7lDPBJdlva9yyXKH8HNP7Us7lKuCJmTn2/ZblocvHMMP3vEdtA6e0lbWJ0q92kHqz24E3Udoh9P27zswzKb+zWW8Nz2Az8LTMfP8Ay060zDyHcufs6wMsfj3lomDkd15qZOkf/fNMb4dTZeKSKUBm/ldmvpxylvMW4KtMv93Z5keUbgOvBVZn5jGZ2ezGQkTsR3s96e/kAGMCZ0X9aWZeSTl5eDLwfyj1cVspdXELuQn6opCZmylXXK+nfXShblcCvws8JjOvGHZsvcrMqzPzWZRB+99P+yg4TTd15n0WfQw8kZnXZObTgKcDFzD3IOrXUB4a8MjMPDPLk2MGkpnnUYb4fA3lmJCzzL6dUmf6Pyj763ODljvpsjQa+gngtynPvp3tuJKUk/tXAYfnYKOCjV1m3pCZT6fcPfrflO5C11HqzPt+wDxAdC57J16nZd4UcAClXvRBwB2UOprvUK4WrsmF3QdKC1in4dFjKPVKyyl18j+g1Cl+LTOvG190vet8jsdS+kyvoIwfvJ3yWa6nnBRck/NwcOh07H8Cpa5yBaXe/xZKQr88Mwe5Iuq17IdSTkQP6JR9b6fc7wIbM7P5cGnx3xcTx1LqtldQ6hS3Ue5QXJqZN40xvAVr4pJpRJxDOVu+KTOPbHk/gD+nNDK4g3I/fjEOCyZJWiAm8Tbvucw+XNmJlC4zh1FGNvmbEcQkSVrCJi6ZZubFzD5O6snA+7LYCOw3pJFfJEkCJqifaR8OotT77LC1M6055BkRcRrl6pW999776Ec/+tEjCVCSFouvfOUrN2fminHHMW6LMZn2LDPPBs4GmJqayk2bJqXPsSQtDBEx66AeS8XE3ebtwQ3s+izKlZ1pkiQNxWJMpuuA3+yMw3sscFtmTrvFK0nSfJm427wR8UHKEGnLO+MovonO2KNZxk5cT+kWs4XSNWaQ5/RJktSziUummXnKHO8n8NIRhSNJ0qK8zStJ0kiZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSp0kQm04g4ISKuiogtEXF6y/uHRMRFEfHViLgsIp4xjjglSUvDxCXTiNgdOAs4EVgNnBIRqxuz/SFwfmY+Dnge8NejjVKStJRMXDIFjgG2ZOY1mXk3cB5wcmOeBB7U+X9f4NsjjE+StMRMYjI9CLi+6/XWzrRuZwDPj4itwHrg5W0riojTImJTRGzatm3bMGKVJC0Bk5hMe3EKcG5mrgSeAfx9REz7rJl5dmZOZebUihUrRh6kJGlxmMRkegNwcNfrlZ1p3U4FzgfIzEuAvYDlI4lOkrTkTGIyvRQ4LCIOjYg9KA2M1jXm+RbwVICIOIKSTL2PK0kaiolLppm5HXgZcCFwJaXV7hURcWZEnNSZ7VXAiyLi34EPAmszM8cTsSRpsVs27gAGkZnrKQ2Luqe9sev/zcBxo45LkrQ0TdyVqSRJC43JVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkSiZTSZIqmUwlSapkMpUkqZLJVJKkShOZTCPihIi4KiK2RMTpM8zznIjYHBFXRMQHRh2jJGnpWDbuAPoVEbsDZwFPA7YCl0bEuszc3DXPYcBrgeMy89aIOGA80UqSloJJvDI9BtiSmddk5t3AecDJjXleBJyVmbcCZOZNI45RkrSETGIyPQi4vuv11s60bocDh0fEFyNiY0Sc0LaiiDgtIjZFxKZt27YNKVxJ0mI3icm0F8uAw4A1wCnAeyJiv+ZMmXl2Zk5l5tSKFStGHKIkabGYxGR6A3Bw1+uVnWndtgLrMvOezLwW+DoluUqSNO8mMZleChwWEYdGxB7A84B1jXk+TrkqJSKWU277XjPKICVJS8fEJdPM3A68DLgQuBI4PzOviIgzI+KkzmwXArdExGbgIuDVmXnLeCKWJC12kZnjjmFBmJqayk2bNo07DEmaKBHxlcycGncc4zZxV6aSJC00JlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqmQylSSpkslUkqRKJlNJkiqZTCVJqjSRyTQiToiIqyJiS0ScPst8vxIRGRFTo4xPkrS0TFwyjYjdgbOAE4HVwCkRsbplvgcCrwC+PNoIJUlLzcQlU+AYYEtmXpOZdwPnASe3zPdHwFuBO0cZnCRp6ZnEZHoQcH3X662daf8tIo4CDs7MT8y2oog4LSI2RcSmbdu2zX+kkqQlYRKT6awiYjfgHcCr5po3M8/OzKnMnFqxYsXwg5MkLUqTmExvAA7uer2yM22HBwJHAhsi4jrgWGCdjZAkScMyicn0UuCwiDg0IvYAnges2/FmZt6Wmcszc1VmrgI2Aidl5qbxhCtJWuwmLplm5nbgZcCFwJXA+Zl5RUScGREnjTc6SdJStGzcAQwiM9cD6xvT3jjDvGtGEZMkaemauCtTSZIWGpOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVTKaSJFUymUqSVMlkKklSJZOpJEmVJjKZRsQJEXFVRGyJiNNb3n9lRGyOiMsi4rMR8fBxxClJWhomLplGxO7AWcCJwGrglIhY3Zjtq8BUZj4G+Ajwp6ONUpK0lExcMgWOAbZk5jWZeTdwHnBy9wyZeVFm3tF5uRFYOeIYJUlLyCQm04OA67teb+1Mm8mpwCfb3oiI0yJiU0Rs2rZt2zyGKElaSiYxmfYsIp4PTAFva3s/M8/OzKnMnFqxYsVog5MkLRrLxh3AAG4ADu56vbIzbRcRcTzweuDJmXnXiGKTJC1Bk3hleilwWEQcGhF7AM8D1nXPEBGPA94NnJSZN40hRknSEjJxyTQztwMvAy4ErgTOz8wrIuLMiDipM9vbgH2AD0fE1yJi3QyrkySp2iTe5iUz1wPrG9Pe2PX/8SMPSpK0ZE3clakkSQuNyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKk1kMo2IEyLiqojYEhGnt7y/Z0R8qPP+lyNi1eijlCQtFROXTCNid+As4ERgNXBKRKxuzHYqcGtmPhJ4J/DW0UYpSVpKJi6ZAscAWzLzmsy8GzgPOLkxz8nA/+38/xHgqRERI4xRkrSELBt3AAM4CLi+6/VW4AkzzZOZ2yPiNmB/4ObumSLiNOC0zsu7IuLyoUQ8eZbT2FZLmNtiJ7fFTm6LnR417gAWgklMpvMmM88GzgaIiE2ZOTXmkBYEt8VOboud3BY7uS12iohN445hIZjE27w3AAd3vV7ZmdY6T0QsA/YFbhlJdJKkJWcSk+mlwGERcWhE7AE8D1jXmGcd8ILO/88G/iUzc4QxSpKWkIm7zdupA30ZcCGwO3BOZl4REWcCmzJzHfBe4O8jYgvwPUrCncvZQwt68rgtdnJb7OS22MltsZPbAggv2CRJqjOJt3klSVpQTKaSJFVacsnUoQh36mFbvDIiNkfEZRHx2Yh4+DjiHIW5tkXXfL8SERkRi7ZbRC/bIiKe0/luXBERHxh1jKPSw2/kkIi4KCK+2vmdPGMccQ5bRJwTETfN1Bc/ir/obKfLIuKoUcc4dpm5ZP4oDZauBh4B7AH8O7C6Mc9LgHd1/n8e8KFxxz3GbfEU4AGd/1+8lLdFZ74HAhcDG4GD+RQTAAACeElEQVSpccc9xu/FYcBXgQd3Xh8w7rjHuC3OBl7c+X81cN244x7StngScBRw+QzvPwP4JBDAscCXxx3zqP+W2pWpQxHuNOe2yMyLMvOOzsuNlD69i1Ev3wuAP6KM83znKIMbsV62xYuAszLzVoDMvGnEMY5KL9sigQd1/t8X+PYI4xuZzLyY0jNiJicD78tiI7BfRDxsNNEtDEstmbYNRXjQTPNk5nZgx1CEi00v26LbqZQzz8Vozm3RuW11cGZ+YpSBjUEv34vDgcMj4osRsTEiThhZdKPVy7Y4A3h+RGwF1gMvH01oC06/x5NFZ+L6mWr0IuL5wBTw5HHHMg4RsRvwDmDtmENZKJZRbvWuodytuDgifjIzvz/WqMbjFODczHx7RPw0pX/7kZl537gD02gttStThyLcqZdtQUQcD7weOCkz7xpRbKM217Z4IHAksCEirqPUCa1bpI2QevlebAXWZeY9mXkt8HVKcl1setkWpwLnA2TmJcBelEHwl5qejieL2VJLpg5FuNOc2yIiHge8m5JIF2u9GMyxLTLztsxcnpmrMnMVpf74pMxcjAN89/Ib+TjlqpSIWE657XvNKIMckV62xbeApwJExBGUZLptpFEuDOuA3+y06j0WuC0zvzPuoEZpSd3mzeENRThxetwWbwP2AT7caYP1rcw8aWxBD0mP22JJ6HFbXAg8PSI2A/cCr87MRXf3psdt8SrgPRHxe5TGSGsX48l3RHyQcgK1vFM//CbgfgCZ+S5KffEzgC3AHcALxxPp+DicoCRJlZbabV5JkuadyVSSpEomU0mSKplMJUmqZDKVJKmSyVSSpEomU0mSKv1/PsSD9dLK0zwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams['font.family'] =['san-serif']\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_title('Text in a cool font', size=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": [
    "mpl.rcParams['font.family'] ='Arial'\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_title('Text in a cool font', size=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "mpl.rcParams['font.family'] =['Arial']\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_title('Text in a cool font', size=50)\n",
    "plt.show()"
   ]
  },
  {
   "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"
  },
  "toc-autonumbering": true
 },
 "nbformat": 4,
 "nbformat_minor": 2
}