{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## matplotlibで日本語を使う\n",
    "\n",
    "Python 3はUTF-8に対応しているので,日本語を含めて様々な文字を扱うことができる。しかし,matplotlibが既定で使うフォントが日本語を含まないフォントなので,グラフに日本語を使うと文字化けが発生し,文字の代わりに「豆腐」と呼ばれる「□」が表示される。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEWCAYAAAB42tAoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCklS0/8AliY1F+tis00AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27717c03860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure()\n",
    "plt.xlabel('x軸')\n",
    "plt.ylabel('y軸')\n",
    "plt.title('タイトル')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlibの既定の設定ファイルの場所を探す。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\eno\\Miniconda3\\lib\\site-packages\\matplotlib\\mpl-data\\matplotlibrc\n"
     ]
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "print(mpl.matplotlib_fname())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### IPAexフォント\n",
    "\n",
    "ここでは,独立行政法人情報処理推進機構が無料で配布している[IPAexフォント](http://ipafont.ipa.go.jp)のうちIPAexゴシックを利用する。IPAexゴシックをダウンロードして解凍した後,設定ファイルのあるフォルダー`mpl-data`にある`fonts\\ttf`にコピーする。\n",
    "\n",
    "### 設定ファイル\n",
    "\n",
    "このファイルをホームフォルダーの下の`.matplotlib`(例えば`C:\\Users\\eno\\.matplotlib`)にコピーする。IPAexゴシックを使うことをコピーした設定ファイルに記述する。\n",
    "\n",
    "    font.family : IPAexGothic\n",
    "\n",
    "設定ファイルの場所を再度確認してみよう。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\eno\\\\.matplotlib\\\\matplotlibrc'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib\n",
    "matplotlib.matplotlib_fname()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "カーネルを再起動してもう一度プロットする。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAETCAYAAAAs4pGmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1d279a04748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.figure()\n",
    "plt.xlabel('x軸')\n",
    "plt.ylabel('y軸')\n",
    "plt.title('タイトル')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### 参考\n",
    "\n",
    "* [【matplotlib】日本語の設定](http://kaisk.hatenadiary.com/entry/2015/02/15/215831)\n",
    "* [matplotlib のグラフに日本語を表示する方法(文字化け対応)](http://akiyoko.hatenablog.jp/entry/2017/04/11/080446)\n",
    "* [IPAフォント](http://ipafont.ipa.go.jp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}