Data-Science/plotting/working-matplotlib-and-seaborn-with-chinese/working-matplotlib-and-seaborn-with-chinese.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from random import randint\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>年份</th>\n",
       "      <th>價格</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2013</td>\n",
       "      <td>9834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2014</td>\n",
       "      <td>9839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2015</td>\n",
       "      <td>4142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2016</td>\n",
       "      <td>3004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2017</td>\n",
       "      <td>9778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>2019</td>\n",
       "      <td>6149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     年份    價格\n",
       "0  2013  9834\n",
       "1  2014  9839\n",
       "2  2015  4142\n",
       "3  2016  3004\n",
       "4  2017  9778\n",
       "5  2019  6149"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({\n",
    "    '年份': ['2013', '2014', '2015', '2016', '2017', '2019'],\n",
    "    '價格': [randint(100, 10000) for _ in range(6)]\n",
    "})\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Default settings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 24180 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 20221 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:180: RuntimeWarning: Glyph 24180 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:180: RuntimeWarning: Glyph 20221 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 20729 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:211: RuntimeWarning: Glyph 26684 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:180: RuntimeWarning: Glyph 20729 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py:180: RuntimeWarning: Glyph 26684 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "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(\n",
    "    df['年份'],\n",
    "    df['價格']\n",
    ")\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('價格')\n",
    "plt.savefig('./does-not-show-chinese.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111657b38>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IhDreqyI9KYHrzk6pfAWJWI3qxfLY1cE2rH//YqPf5XwnCguRCPXS/E1s3XeEh4b1UK+KKHBZRhuGZrThzx+vr5FtWBUWIhFoZ9FRnvt0A5f0SGSQelVEjV9fnUHdmDo8+E7Na8OqsBCJQH/6eB3FJWWMvaK736VICLVpEs+vLu/OvJxdvPN1zWrDqrAQiTDZO4p4fbF6VUSrH/VP5ezUpvz2/dU1qg2rwkIkwoz7QL0qolmwDetZFBWXMm5GzWnDqrAQiSBzswv5fN1OfnZxF/WqiGLd2jTmPy/sxNtLtzC/hrRhVViIRIjSsgDjZqwhrUUDbhmY5nc5Emb/76LONaoNq8JCJEK8/lU+6wsPMubyHtSN1a9mtIuPi+Hxa3uxefdhnp0T+W1Y9RMpEgEOFJfwp4/WcW6H5gzJSPS7HKkmgzq35Pp+KUz4fCNrdxzwu5xTUliIRIDnPt3AnsPHePjKdPWqqGUevMJrw/r2CsoiuA1rWMPCzJqa2VtmttbM1pjZQDNrbmYfmdl677pZueXHmlmOmWWb2ZBy4/3MbIX32LOm3yaJIvl7DvPSvE2M6JtCz+Qmfpcj1axZw7o8fGUPluVHdhvWcO9Z/BmY5ZzrDvQG1gBjgDnOuS7AHO8+ZpYOjAQygKHAc2Z2vMnw88BooIt3GRrmukWqzfhZa6lTB36pXhW11jV9kjm/S0uejOA2rGELCzNLAC4AXgRwzh1zzu0DhgMTvcUmAtd4t4cDrzvnjjrnNgE5QH8zSwISnHMLXPDz8ZPKrSNSoy3ZvIcZy7dz5wWdaNMk3u9yxCdmxrhrelEaCPDo9JV+l1OhcO5ZdAR2Ai+b2ddm9oKZNQQSnXPbAbzr1t7yyUB+ufW3eGPJ3u0Tx7/FzEabWZaZZe3cuTO0WyMSYoGA4zfvr/F6VXT0uxzxWWqLBtx7SVc+XFXArJWR14Y1nGERC5wNPO+c6wscwjvkdBIVnYdwpxj/9qBzE5xzmc65zFatWp1uvSLV6r3l2/gmfx+/HNKNBnXVq0LgjvO8NqzTV0ZcG9ZwhsUWYItzbpF3/y2C4VHgHVrCuy4st3y7cuunANu88ZQKxkVqrOKSMp6clU1GW/WqkH+Li6nD+OvOorDoKH+IsDasYQsL59wOIN/Mjp+1uxhYDUwHRnljo4Bp3u3pwEgzq2dmHQieyF7sHaoqMrMB3iyoW8qtI1IjvTgv2KviwWE9qKNeFVJOn3ZNGTUwjX8s3MzSCGrDGu7ZUD8FXjWz5UAf4HFgPHCpma0HLvXu45xbBUwhGCizgLudc8c/A38X8ALBk94bgJlhrlskbIK9KnK4ND2RQZ3Uq0K+7V9tWN+OnDasYT1Q6pxbBmRW8NDFJ1l+HDCugvEsoGdoqxPxx9MfreNoaYCxl6tXhVSsUb1YfjO8Jz+ZlMWEzzdy9/c7+12SPsEtUp3W7jjAG1/lcfPA9nRUrwo5hUvTE7m8Zxv+PGc9ubv8b8OqsBCpJs45xs1YQ+P4OPWqkCr59dUZ1Iupw4PvrvC9DavCQqSazM3eyRfrd3HPxV1o2kC9KqRyiQnBNqzzc3Yzdam/bVgVFiLVoKQswO9mrKZDy4bcNKC93+VIDfKj/qn0a9+M381Yze6DR32rQ2EhUg1eX5zHhp2HGHt5d/WqkNMSbMPai4NH/W3Dqp9akTDbf6SEP328ngEdm3NpunpVyOnrmhhswzr1663MW+9PG1aFhUiYPfdpDnsPH+OhYepVId/d3d/vTIeWDXngnRUcOVb9bVgVFiJhlLf7MC/Pz+W6s9WrQs5MfFwM467tSd6ewzz7SfW3YVVYiITRE7PWElPHuO8y9aqQMzeoU0tu6JfC3z/fyJrt1duGVWEhEiZZuXuYsWI7d17YUb0qJGQe8Nqwjp1avW1YFRYiYRAIOH47Yw2JCfUYfYF6VUjoNGtYl0euTGdZ/j7+ubD62rAqLETC4N+9KrqrV4WE3PA+bb02rGvZvv9ItbymwkIkxIpLynhi5lp6Jicwom+FTR1FzsjxNqxlzvHotFXV8poKC5EQe3HeJrbtL+ahYenqVSFhc7wN6+zV1dOGVWEhEkKFRcU892kOQzISGdCxhd/lSJS747wO9EhK4NHpKzkQ5jasCguREHp69jqOlQUYc3kPv0uRWiAupg7jR/QKtmGdFd42rAoLkRBZve0Ab2Tlc8vANDq0bOh3OVJL9G7XlFsHpfHPRZtZsjl8bVgVFiIh4Jxj3AeraVI/jp9dpF4VUr1+cVmwDesDU1dwrDQ8bVgVFiIh8Gl2IfNzdnPPxV1o0iDO73KklmlUL5bfDu9JdkERf/9iY1heo0oTwM3skUoWKXTO/S0E9YjUOCVlAcbNWENH9aoQH12SnsgVvYJtWK/tm0zbpvVD+vxV/bTQAGAkcLJ5gBMBhYXUSpO9XhV/vyWTuBjtrIt/fn1VBpf3TCIpDF8vU9Wf7DLn3AHn3P6KLkCFX1BiZrlmtsLMlplZljfW3Mw+MrP13nWzcsuPNbMcM8s2syHlxvt5z5NjZs+avudZIsT+IyX86aN1DOzYgkt6tPa7HKnlWifEc1XvtmH5KvyqhkVl31Z1qse/75zr45zL9O6PAeY457oAc7z7mFk6wb2XDGAo8JyZxXjrPA+MBrp4l6FVrFskrP7n0xz2HSnhwWE91KtColpVwyLOzBJOcmkCxFT6DP82nOBhK7zra8qNv+6cO+qc2wTkAP3NLAlIcM4tcM45YFK5dUR8s3n3IV6Zn8v16lUhtUBVz1ksBO49yWMGzDzJYw6YbWYO+F/n3AQg0Tm3HcA5t93Mju+7J3uvc9wWb6zEu33i+LcLMRtNcA+E1NTUyrZJ5Iw8MWstsTHGfUPUq0KiX1XD4ly+2wnuwc65bV4gfGRma0/xGhU9tzvF+LcHg2E0ASAzM7P6vuhdap3Fm/bwwYod/PelXUlMUK8KiX5VDYsy59xJ2zJ5ew7f4pzb5l0Xmtk7QH+gwMySvL2KJKDQW3wL0K7c6inANm88pYJxEV8EAo7fzVhNm4R4fnK+elVI7RC2E9xm1tDMGh+/DVwGrASmA6O8xUYB07zb04GRZlbPzDoQPJG92DtkVWRmA7xZULeUW0ek2k37ZivLt+znV0O7Ub/u6ZyuE6m5qrpnEWdmCSd5zKj4BHci8I43QyQWeM05N8vMvgKmmNkdQB5wA4BzbpWZTQFWA6XA3c65Mu+57gJeAeoTPD9ysnMkImF15FgZT87KpldyE67po14VUnuc7gnuk52zmHXigHNuI9C7gvHdwMUVPYlzbhwwroLxLKBnFWsVCZsXvtjI9v3FPPPDPupVIbVKlcLCOfdYuAsRiXSFB4p5/rMNDM1ow7nqVSG1jL6bQKSK/jh7HSVlAcZc3t3vUkSqncJCpApWbzvAlCX5jBqYRpp6VUgtpLAQqYRzwamyTerH8VP1qpBaSmEhUolP1hby5Ybd3KteFVKLKSxETqGkLMC4D9bQsVVDfqReFVKLKSxETuHVhZvZuPMQD17RQ70qpFbTT7/ISew/XMIzc9YzuHMLLuquXhVSuyksRE7iL5+sZ/+REh68Il29KqTWU1iIVCB31yEmLsjlB/3akd72ZN90I1J7KCxEKjB+5lriYurwi8u6+l2KSERQWIicYNHG3cxatYO7LuxEa/WqEAEUFiL/R7BXxRqSmsTzY/WqEPkXhYVIOe8u28qKrepVIXIihYWI53ivirNSmjC8t3pViJSnsBDx/P2Ljew4UMxDw9LVq0LkBAoLEaDgQDHPz93A5T3b0L9Dc7/LEYk4CgsR4KkPsykLOPWqEDkJhYXUeiu37uetpVu4dXAa7VuoV4VIRRQWUqs55xg3Yw1N68dx9/c7+12OSMQKe1iYWYyZfW1m73v3m5vZR2a23rtuVm7ZsWaWY2bZZjak3Hg/M1vhPfas6Yt6JEQ+XlPIgo27+fmlXWlSX70qRE6mOvYs7gHWlLs/BpjjnOsCzPHuY2bpwEggAxgKPGdmxye6Pw+MBrp4l6HVULdEuWOlAR7/YA2dWjXkxv6pfpcjEtHCGhZmlgIMA14oNzwcmOjdnghcU278defcUefcJiAH6G9mSUCCc26Bc84Bk8qtI/KdvbpoM5t2HeLBYepVIVKZcP+GPAP8CgiUG0t0zm0H8K6PNwpIBvLLLbfFG0v2bp84LvKd7Tt8jGc+Xs95nVvy/W7qVSFSmbCFhZldCRQ655ZUdZUKxtwpxit6zdFmlmVmWTt37qziy0pt9JdPcjhQXMKDw3qoV4VIFYRzz2IwcLWZ5QKvAxeZ2T+BAu/QEt51obf8FqBdufVTgG3eeEoF49/inJvgnMt0zmW2atUqlNsiUaK4pIynZ2fzype5/DCzHT2S1KtCpCrCFhbOubHOuRTnXBrBE9efOOduAqYDo7zFRgHTvNvTgZFmVs/MOhA8kb3YO1RVZGYDvFlQt5RbR6TKFm/awxXPfsGzn+Rwde+2PDCsh98lidQYsT685nhgipndAeQBNwA451aZ2RRgNVAK3O2cK/PWuQt4BagPzPQuIlWy/0gJ42euZfLiPFKa1Wfi7f25sKv2PEVOhwUnGEWfzMxMl5WV5XcZ4iPnHLNW7uDR6avYdfAod5zXgZ9f2pUGdf34P5JIzWBmS5xzmSeO67dGotKO/cU8PG0lH60uIKNtAi+OOodeKU38LkukxlJYSFQJBByvLs7jiZlrKQ0EGHt5d+44rwOx+hyFyBlRWEjUWF9QxNipK8javJfzOrdk3LU99cWAIiGisJAa72hpGc99uoHn5ubQsF4sT93Qm+vOTtbnJ0RCSGEhNdpXuXsYO3UFOYUHGd6nLQ9fmU7LRvX8Lksk6igspEY6UFzCEzPX8uqiPJKb1ufl287R13aIhJHCQmqc4HTYlewsCk6H/e9Lu9Kwnn6URcJJv2FSYxQcKOaRaSv5cFUBPZISmHBzJr3bNfW7LJFaQWEhES8QcLzmTYc9Vhbg/qHd+fH5HfS14iLVSGEhES2nMDgd9qvcvQzq1ILHr+1FWktNhxWpbgoLiUhHS8t4fu4Gnvt0A/XrxvCH68/i+n4pmg4r4hOFhUScrNw9jPGmw17duy2PXKXpsCJ+U1hIxCgqLuGJWWv550JvOuyt5/D97poOKxIJFBYSEWav2sEj01ZRUFTMbYPTuO+ybpoOKxJB9Nsovio8UMyj01cxc+UOurdpzN9u7kcfTYcViTgKC/FFIOB4/at8fj9zDUdLA/xySDdGX9BR02FFIpTCQqpdTuFBHpi6gsW5exjYsQWPj+hFB02HFYloCgupNsdKA/ztsw389ZMc6teN4cnrzuKGTE2HFakJFBZSLZZs3svYqctZV3CQK89K4tGrMmjVWNNhRWoKhYWEVVFxCX/4MJt/LNxMUkI8L92ayUXdE/0uS0ROk8JCwuaj1QU8/O5KCoqKGTUwjfuGdKORpsOK1Ehhm3piZvFmttjMvjGzVWb2mDfe3Mw+MrP13nWzcuuMNbMcM8s2syHlxvuZ2QrvsWdNB7kjWuGBYv7r1SX8ZFIWTRvEMfWuQfz66gwFhUgNFs7f3qPARc65g2YWB8wzs5nACGCOc268mY0BxgD3m1k6MBLIANoCH5tZV+dcGfA8MBpYCHwADAVmhrF2+Q4CAccbWfk8/oGmw4pEm7CFhXPOAQe9u3HexQHDge954xOBucD93vjrzrmjwCYzywH6m1kukOCcWwBgZpOAa1BYRJQNOw8yduoKFm/aw7kdmvP7Eb3o2KqR32WJSIiE9biAmcUAS4DOwP845xaZWaJzbjuAc267mR3/8p9kgnsOx23xxkq82yeOV/R6ownugZCamhrKTZGTOFYaYMLnG3j2kxziY+swfkQvfpDZjjp1dKRQJJqENSy8Q0h9zKwp8I6Z9TzF4hX9dXGnGK/o9SYAEwAyMzMrXEZC5+u8vYx5ewXZBUUM65XEo1en07pxvN9liUgYVMsZR+fcPjObS/BcQ4GZJXl7FUlAobfYFqBdudVSgG3eeEoF4+KTg0dLeerDbCYuyKVNQjwv3JLJJemaDisSzcI5G6qVt0eBmdUHLgHWAtOBUd5io4Bp3u3pwEgzq2dmHYAuwGLvkFWRmQ3wZkHdUm4dqTr8vccAAAuwSURBVGZz1hRw2dOfMXFBLrcMaM/sn1+goBCpBcK5Z5EETPTOW9QBpjjn3jezBcAUM7sDyANuAHDOrTKzKcBqoBS42zuMBXAX8ApQn+CJbZ3crmaFRcU89t5qZizfTtfERrz1H4Po175Z5SuKSFSw4KSl6JOZmemysrL8LqPGc84xJSufcTPWUFwS4KcXdebOCztRN1bTYUWikZktcc5lnjiuT0nJSW3adYixU5ezcOMe+nvTYTtpOqxIraSwkG8pKQsw4fON/HnOeurF1uH3I3rxQ02HFanVFBbyf3ydt5exU1ewdkcRl/dsw2NXZ9A6QdNhRWo7hYUAcOhoKU/NzuaVL3NJbBzPhJv7cVlGG7/LEpEIobCo5ZxzfLS6gMfeW822/Ue46dz2/GpoNxrHx/ldmohEEIVFLXX4WClTl27llS9zySk8SJfWjXjrPwfSr31zv0sTkQiksKhltu47wqQFuby+OJ/9R0roldyEP/2wN8N6tdV0WBE5KYVFLeCcY8nmvbw8P5dZq3bgnOPynkncNjiNfu2bqQe2iFRKYRHFjpUGmLFiGy/Ny2XF1v0kxMfy4/M7cMvANJKb1ve7PBGpQRQWUWjXwaO8tiiPfyzczM6io3Rq1ZDfXdOTEWcn06Cu3nIROX36yxFFVm87wMvzNzHtm20cKw1wYddW3H5DB87v3FIfqBORM6KwqOHKAo6P1xTw8vxNLNy4h/pxMfwgM4VbB3Wgc2t9NYeIhIbCooY6UFzClK/ymbggl/w9R0huWp8HrujODzNTadJAn5EQkdBSWNQwm3YdYuKXubyZlc+hY2Wck9aMBy7vwaXpicTGaOqriISHwqIGcM4xP2c3L8/fxCfZhcTWMa46qy23De5Ar5QmfpcnIrWAwiKCHTlWxrvLtvLy/E2sKzhIy0Z1+elFXbhpQKp6XYtItVJYRKDt+4/wjwWbeW1xHvsOl5CelMAfrj+Lq3q3JT4uxu/yRKQWUlhEkKV5e3lp3iZmrgx+yvrS9ERuH9yB/h2a61PWIuIrhYXPSsoCfLBiOy/Nz+Wb/H00jo/l9sFp3DIwjXbNG/hdnogIoLDwzZ5Dx5i8OI9JC3IpOHCUDi0b8pvhGVx3dgoN6+ltEZHIor9K1Sx7RxEvz9/EO19v5WhpgPO7tGT8iLO4sGsrfcpaRCJW2MLCzNoBk4A2QACY4Jz7s5k1B94A0oBc4AfOub3eOmOBO4Ay4GfOuQ+98X7AK0B94APgHuecC1ftoRYIOD5ZW8jLX25ifs5u4uPqMOLsFG4bnEbXxMZ+lyciUqlw7lmUAr9wzi01s8bAEjP7CLgVmOOcG29mY4AxwP1mlg6MBDKAtsDHZtbVOVcGPA+MBhYSDIuhwMww1h4SB4+W8mZWPq98mcvm3YdJahLPr4Z248ZzUmnWsK7f5YmIVFnYwsI5tx3Y7t0uMrM1QDIwHPiet9hEYC5wvzf+unPuKLDJzHKA/maWCyQ45xYAmNkk4BoiOCzydh/mlS9zmZKVz8GjpZyd2pRfDunGkIw2xOlT1iJSA1XLOQszSwP6AouARC9IcM5tN7PW3mLJBPccjtvijZV4t08cr+h1RhPcAyE1NTV0G1AFzjkWbNzNS/NymbO2gBgzhp2VxG2DO9CnXdNqrUVEJNTCHhZm1gh4G7jXOXfgFJ8XqOgBd4rxbw86NwGYAJCZmVkt5zSKS8qYvmwbL83fxNodRTRvWJe7v9eZmwe2JzFBn7IWkegQ1rAwsziCQfGqc26qN1xgZkneXkUSUOiNbwHalVs9BdjmjadUMO6rggPF/HPhZl5dlMeeQ8fo3qYxT1zXi+F9kvUpaxGJOuGcDWXAi8Aa59zT5R6aDowCxnvX08qNv2ZmTxM8wd0FWOycKzOzIjMbQPAw1i3AX8JVd2W+yd/Hy/M38f7y7ZQ5x8XdE7l9cBoDO7XQp6xFJGqFc89iMHAzsMLMlnljDxAMiSlmdgeQB9wA4JxbZWZTgNUEZ1Ld7c2EAriLf0+dnUk1n9wuLQswa9UOXpq3iaV5+2hUL5abB7bn1kFptG/RsDpLERHxhdWgjyuclszMTJeVlXVGz7Hv8DEmL85n0oJctu8vpn2LBtw6KI3r+6XQOF4NhkQk+pjZEudc5onj+gR3BdYXFPHyl7lMXbqF4pIAgzq14LfDe/L97q2J0aesRaQWUliUEwg4fjwpi0/WFlI3tg7X9knmtvPS6N4mwe/SRER8pbAop04do0PLhtx3WVdu7J9Ki0b1/C5JRCQiKCxO8PCV6X6XICIScfTdEyIiUimFhYiIVEphISIilVJYiIhIpRQWIiJSKYWFiIhUSmEhIiKVUliIiEilovaLBM1sJ7D5O67eEtgVwnJqAm1z7VDbtrm2bS+c+Ta3d861OnEwasPiTJhZVkXfuhjNtM21Q23b5tq2vRC+bdZhKBERqZTCQkREKqWwqNgEvwvwgba5dqht21zbthfCtM06ZyEiIpXSnoWIiFRKYSEiIpWqFWFhZu3M7FMzW2Nmq8zsHm+8uZl9ZGbrvetm3ngLb/mDZvbXE55rlpl94z3P38wsxo9tqkwot7ncc043s5XVuR2nI8Tv81wzyzazZd6ltR/bVJkQb3NdM5tgZuvMbK2ZXefHNp1KqLbXzBqXe2+XmdkuM3vGr+06lRC/xz80s+Xe8zx5WoU456L+AiQBZ3u3GwPrgHTgSWCMNz4GeMK73RA4D/hP4K8nPFeCd23A28BIv7cv3NvsPT4CeA1Y6fe2VdP7PBfI9HubqnmbHwN+592uA7T0e/vCub0nPO8S4AK/ty+c2wy0APKAVt79icDFVa2jVuxZOOe2O+eWereLgDVAMjCc4D8Y3vU13jKHnHPzgOIKnuuAdzMWqAtE5AyBUG6zmTUC/hv4XTWU/p2FcptrihBv8+3A773lAs65iPvkczjeYzPrArQGvghj6d9ZCLe5I7DOObfTu/8xUOW9x1oRFuWZWRrQF1gEJDrntkPwDSH4A1OV5/gQKASKgLfCUmgIhWCbfwv8ETgcphJDLhTvM/Cyd4jiYTOzsBQaQmeyzWbW1Lv5WzNbamZvmlliGMs9YyF6jwFuBN5w3n+3I9kZbnMO0N3M0swslmC4tKvqa9eqsPD+h/w2cG+5PYTT5pwbQnDXsB5wUYjKC4sz3WYz6wN0ds69E/LiwiRE7/OPnHO9gPO9y82hqi8cQrDNsUAKMN85dzawAHgqhCWGVKh+lz0jgclnXlV4nek2O+f2AncBbxDci8oFSqu6fq0JCzOLI/gP/apzbqo3XGBmSd7jSQT3FqrEOVcMTCe4KxiRQrTNA4F+ZpYLzAO6mtnc8FR85kL1PjvntnrXRQTP1fQPT8VnLkTbvJvgnuPx/xS8CZwdhnLPWCh/l82sNxDrnFsSlmJDJIQ/1+855851zg0EsoH1Va2hVoSFdwjhRWCNc+7pcg9NB0Z5t0cB0yp5nkbl3pxY4ApgbegrPnOh2mbn3PPOubbOuTSCJ83WOee+F/qKz1wI3+dYM2vp3Y4DrgQichZYCN9nB7wHfM8buhhYHdJiQyBU21vOjUT4XkUot/n4rD5v5tR/AS9UuZDqPrPvx4XgHzkHLAeWeZcrCM4OmEMwXecAzcutkwvsAQ4CWwjOPkgEvvKeZxXwF4L/K/F9G8O1zSc8ZxqRPRsqVO9zQ4KzY46/z38GYvzevnC/z0B74HPvueYAqX5vX7h/roGNQHe/t6sa3+PJBP8TsJrTnMmpr/sQEZFK1YrDUCIicmYUFiIiUimFhYiIVEphISIilVJYiIhIpRQWIiJSqVi/CxCJZmb2a2AA//5ahVhgYUVjzrlfV3d9IlWlsBAJv5HOuX3wry/su/ckYyIRS4ehRESkUgoLERGplMJCREQqpbAQEZFKKSxERKRSCgsREamUps6KhFchMMnMAt79OsCsk4yJRCz1sxARkUrpMJSIiFRKYSEiIpVSWIiISKUUFiIiUimFhYiIVOr/A22mhcsWek3uAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x=\"年份\", y=\"價格\", data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the default font of matplotlib\n",
    "from matplotlib.font_manager import findfont, FontProperties  \n",
    "\n",
    "\n",
    "findfont(FontProperties(family=FontProperties().get_family()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the path of matplotlibrc\n",
    "import matplotlib\n",
    "\n",
    "\n",
    "matplotlib.matplotlib_fname()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "! open /Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Revmove the cache of matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "! rm -rf ~/.matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Copy your font file into matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copy your `.ttf` to `/font/ttf/`\n",
    "\n",
    "Restart your Jupyter Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## After change the settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/Andrew/miniconda3/envs/technical-note/lib/python3.6/site-packages/matplotlib/mpl-data/fonts/ttf/SimHei.ttf'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# find the default font of matplotlib\n",
    "from matplotlib.font_manager import findfont, FontProperties  \n",
    "\n",
    "\n",
    "findfont(FontProperties(family=FontProperties().get_family()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['SimHei',\n",
       " 'DejaVu Sans',\n",
       " 'Bitstream Vera Sans',\n",
       " 'Computer Modern Sans Serif',\n",
       " 'Lucida Grande',\n",
       " 'Verdana',\n",
       " 'Geneva',\n",
       " 'Lucid',\n",
       " 'Arial',\n",
       " 'Helvetica',\n",
       " 'Avant Garde',\n",
       " 'sans-serif']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the default font\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "plt.rcParams['font.sans-serif']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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": [
    "plt.plot(\n",
    "    df['年份'],\n",
    "    df['價格']\n",
    ")\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('價格')\n",
    "plt.savefig('./show-chinese.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": [
    "ax = sns.lineplot(x=\"年份\", y=\"價格\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style='darkgrid', font='SimHei', rc={'figure.figsize':(12, 8)}, font_scale=1.3)\n",
    "ax = sns.lineplot(x=\"年份\", y=\"價格\", data=df)\n",
    "ax.figure.savefig('./seaborn-plot.png')"
   ]
  },
  {
   "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}