{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第5章 Matplotlibを使いこなそう\n",
    "\n",
    "### 5-1: さまざまな図形の描画"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339b7d67b8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.1：円弧の描画\n",
    "# Arc円弧\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "c1 = mpatches.Arc(\n",
    "    xy=(0.4, 0.5),\n",
    "    width=0.4,\n",
    "    height=0.4,\n",
    "    angle=30,\n",
    "    theta1=0,\n",
    "    theta2=230,\n",
    "    linewidth=10,\n",
    "    color=\"lightblue\",\n",
    ")\n",
    "c2 = mpatches.Arc(\n",
    "    xy=(0.6, 0.5),\n",
    "    width=0.4,\n",
    "    height=0.4,\n",
    "    angle=30,\n",
    "    theta1=0,\n",
    "    theta2=230,\n",
    "    linewidth=10,\n",
    "    color=\"pink\",\n",
    ")\n",
    "ax.add_patch(c1)\n",
    "ax.add_patch(c2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339b7d62b0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.2：矢印の描画①\n",
    "# Arrow矢印\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "a1 = mpatches.Arrow(x=0.1, y=0.4, dx=0.6, dy=0.5, width=0.5, color=\"lightblue\")\n",
    "a2 = mpatches.Arrow(x=0.3, y=0.1, dx=0.6, dy=0.5, width=0.5, color=\"pink\")\n",
    "ax.add_patch(a1)\n",
    "ax.add_patch(a2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339b937860>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.3：矢印の描画②\n",
    "# Fancy Arrow矢印\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "a1 = mpatches.FancyArrow(\n",
    "    x=0.2,\n",
    "    y=0.3,\n",
    "    dx=0.4,\n",
    "    dy=0.3,\n",
    "    width=0.1,\n",
    "    head_width=0.3,\n",
    "    head_length=0.2,\n",
    "    shape=\"right\",\n",
    "    color=\"lightblue\",\n",
    ")\n",
    "a2 = mpatches.FancyArrow(\n",
    "    x=0.2,\n",
    "    y=0.3,\n",
    "    dx=0.4,\n",
    "    dy=0.3,\n",
    "    width=0.1,\n",
    "    head_width=0.3,\n",
    "    head_length=0.2,\n",
    "    shape=\"left\",\n",
    "    color=\"pink\",\n",
    ")\n",
    "ax.add_patch(a1)\n",
    "ax.add_patch(a2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339bbf7da0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.4：円形の描画\n",
    "# Circle 円形\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "c1 = mpatches.Circle(xy=(0.5, 0.5), radius=0.4, color=\"lightblue\")\n",
    "c2 = mpatches.Circle(xy=(0.5, 0.5), radius=0.2, color=\"white\")\n",
    "ax.add_patch(c1)\n",
    "ax.add_patch(c2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANoAAADHCAYAAAB/VU2eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAFgtJREFUeJzt3VtsXHedwPHvb8Yez3js8d3Opkmae0qbtmlpRbeU3YDKtiwvXCVQqQAhlS0SK/GAlsdKu1ouD7zQXUol2FXRrvqwvEBhS6EIqSx0aUrINjRJc28aGju+2zPj8Vx++3DG6dS14xnPnDPn8vtIUX05M/7Vnt/8z/n//v/zE1XFGOOuWLsDMCYKLNGM8YAlmjEesEQzxgOWaMZ4wBLNGA9YohnjgQ0TTUQOicgzIrIsIsN1HJ8WkadF5FUReVZERloTqjHBVc+INgU8DszU+ZxfA46p6s3AD4FvbzI2Y0JD6l0ZIiIXgLtUdXKD444D96rqvIjEgbPALrUlKCbCOlx4zjRQEpFzwPuBSWAQZ2R8GxF5BHgEIJ1Ov/umm25yIRxjmvPyyy9PqmpTl0BuJJoCReAEkAWk+rV3Hqj6JPAkwF133aVHjhxxIRxjmiMiF5t9jqYSTURkjVPCHJBW1Q9XTx2HqP/6zphQanZ6/7ci8vVVX/sR8OXqx58Bfm3XZybqNhzRROQ5YCtwA/AbEZlU1fuq3y7gnCbW+ibwAxE5AbwOPNTCeI0JpA0TTVX/5jrfO7zG13LAp5oLy5hwsZUhxnjAEs0YD1iiGeMBSzRjPGCJZowHLNGM8YAlmjEesEQzxgOWaMZ4wBItZFSVywt5FgqldodiarixTca0yXi2wNHxOQqlCoqyI5PiluEMXR32ftpulmghMF8o8sfxeWaWlinX7JN4fS7PpfklbhrqYe9AmnhM2hdkxFmiBVihVOb45AKX5vNU1tiIVAFQ5eTUAmdmshway7C1J4mIJZzXLNECqFxRzsxkOTm1iKo6CXW94xXK5QpH3pyjJ7HIHWN9DKYSnsRqHJZoAaKq/HlxiT+Oz1OqVN52mliPsipzhRIvXJpiLN3FbaN9dHfG3QnWvI0lWkBM55c5Oj7H4nKZcpMb1ssKby4WuJKdYO9AmgNDPXTGbMLETZZoPpcrljk2McdEttDwCHY9CqjCmZks52dzHBzpZWdft12/ucQSzaeKlQonJxc5O5tFdZ3biLVARaGiyv9NzPPadJY7xvoYTXe59NOiyxLNZ1SV87M5/jS5QFl1zdlEN5QVssUyv7s8zUAywR1jffR22cujVew36SNvFZzLLT1NbERZYTK/zPMXr1rBu4Us0XxgvYJzO1XUCt6tZInWRhsVnNvNCt6tY4nWBo0WnNvNCt7Ns0TzkKpyeXGJY5ssOLebFbw3r66rXBHZKyL/U20u+LiIXDdBRWRERH4hIhdF5Hcisqc14QbXdH6Z5y9O8vKbcxTKwUuyWisF7+fOT/DKxDzFit/H5PardzrpB8BXgVuALuCzGxz/FeBFYCfwLeCxzYUXfLnqlPkLl6aYL5SaXtXhF4ozYXJ2NsuzZyc4P5vFWiysr57WumNASlV/W21W8R3g4xs8bB64VD3+f4E1dyGKyCMickREjly9erXB0P2tWKnwysQ8z52f4Mpia1d1+ElFoVhxCt7Pnb/KRLbQ7pB8qZ5rtO3ABRH5S5wkO1z92vV8F/hvEbkVpzHhN9Y6aHV/tDpj9rWVgvPxyQUqHhac2211wfvQWIZMV2e7w/KNek4dV14qczjNBddtLFjjo8ALwPPADuBjmw0wSMazBX5+/iqvXJ2nVIlOktVaKXj/6uIkL1+ZpVCy6zeob0S7BOxW1VeBh0XkEE47JmDdZoT/COxR1WUR+QlwSkT+U1Wb7pzoR34sOLdbReHSXJ43rOAN1DGiqeoEsCAifyVOpfLvgf+qOWStZoR54IHq8TuA0erXQqVQKnPkzVl+dXGSybwl2WoVnJLAyakFnj03weWFfGQnTOqto30BeAqn6fsvgR/WfG+tZoQPAY/jXNOVgEerCRsKTsF5kZNT2UAUnNvNCt51JpqqngXeu873Dq/xtZeA9zQVmQ8FveDcblEueNvKkDpN55f5w/gc2RbscI662h3ee/rT3DQc/h3elmgbyBVLHBufZyIX3lpYO6zs8D47m+XCXPh3eFuiraNYrnByaoGzszlXdzhHXe0O71PTWe4M6Q5vS7RVKqpciGDBud3K+tZytTAWvC3RaoxnCxy9Mkeh3L4dzlFXW/DenklxcLiXro7gT5hYouEUnI+OzzNrBWffCFvBO9KJtlQqc/zqAm8s+HOHc9SFaYd3JBPNCs7BEoaCd6QSzekdtsSxCSs4B1GQC96RSrQ/jM/xxvxSaAvOcRG29SbZM5BmvlDkzEyO2cLq1XHBt1LwHs9O8IEbRwJx/0n/R9hCCyHa4Vwrk+hgz0A32zMpVKEzHiOT6GBrb5J8scLpmUUuhewNRoGYCPlS2RLNuCcmsK03xb7BNOnOODERYjWTBLGYEEPo7Ypx62iG20b7eGM+z9nZLHPWdtdzlmgB05OIs6c/zY19KRTqWiO4csyOTIptmSS5YpnT01neWMjbdapHLNECICawtSfJ/sEeehIdxIS3jV51P091lMt0xbhtNMPtYxlen89zdibHwrKNcm6yRPOxdOdboxc4116tsvJcO/u62ZFJsbhc5vRMlstWU3SFJZrPCM7otW8wTV9XJ4gzm+iWlWu7/mSMQ6MZ7hjLcHEuz9mZLIvFsms/N2os0XyiuzPO7r5udvV3A60dveq18jN39Xezs6+b+UKR12ay/HlhyXYvNMkSrY0E2NLTxb6BHgaSzkp1P6zni4mAwEAqwZ2JDu4c6+PCXI5zszmyNsptiiVaG3TGhH2DaXb3pxHaM3rVayW23f1OvLOFIienFhm3G6U2xL9/4RA7ONLLvoEeEvGYr5OsVjwmxGPCUCrBPVsHArP0yS+C8VcOkY6YsD3T7YtTxGbs7U+3O4RAsUTz2I5MyrlZRoDFY8LO/pSrs6FhY4nmsQODPXQE5HTxehTYnkm2O4zAcKU/WvUxnxeR49V/j4tI5E/qR7sTdAT8lHFFZyzGgcGedocRGK70RxORe4FHcW66eivwlKpGfl74wFBPaBINoKsjxnDANmC2i1v90R4F/llV59Tx+xbEGmjpzjiDyUQgt+GvJy7C/kGbFKlHPSPatf5oInIEOMfG/dH2AhkR+Xn11PHTax0U5kaEq+0dSDsV6hAREUa6u0h1BP+a021u9UfrB24HPgJ8CnhCRIbe8cSqT6rqXap618jISP1RB0xchBv7wjtLt8em+jdUT6Jd64+mqg8De1jVH22dxzyrqnlVPQ6cAna3IuAg2pFJhXatYDwm7OrvJkSXnq5wqz/a08AXRSQmIvtwTiVPtyrooNk/lA53E4fqbm+zPrf6oz0FHABeARLAZ1V1trlQg2k4lSARgrrZ9XTGYhwY6uH1+dD1mmwZt/qjlYB/qP6LtANDaTpCem1WK9URYzDZyfRS+O661Qrhfqtts1RHjOFUV6im9NcTs6n+67JEc9Gegei88GIijKWTJEN+mrxZ9ltxSUxgV1/wV+k3Rtk90N3uIHzJEs0l23tToStQbyQei13bzGrezhLNJfuHwt+XeS0C3NBrq/pXi94rwQODyc7ILkvqjNuq/rVE89Xgsv2DPZu6wWlYpBNx+gNwP3wvWaK1WDIeYyzdFelEc6b6bVSrZYnWYjbr5iTaX/QkQ78iphH2m2ghwVnJHq0p/bUpyq4+W/+4whKthZIdsUifMtaKizCYtN3XKyzRWihfqjBra/0AKKlydjbb7jB8wxKtxU5NL1IsW/v5YlmZyC23OwzfsERrsSvZQqha2G5GqVLhtenFdofhK5ZoLjg9naVUifKoJrw+Z3vTalmiueDCXA6J6Iq/iiqvz+coRXxUX80SzQXFivLGQp5KBFtnqsKZaZsEWc0SzSWnp7NUQntLnvXNLBWtU+gaLNFcMr9cilwD9mLZJkHWY4nmolNT2UhN9ZdVuWINCtdkieaiNxeXiMplmjOlb9dm67FEc5ECZ2YWIzHVLwgX53LtDsO3LNFcdj4CU/2V6ixrMSrD9yZYorlsuazVU8jwvggrKKfttPG6XGtEWH3cThFZEJHDTUUZcK9NL4Y60RYKJeYjNsPaKFcaEQKISAx4Aji+6ehCYrZQIrscztpSsVzhlI1mG3KrESHA3wFHcTrJRF5YV/VX1Dk1NtfnSiNCEdkNPAw8tsFxkWlEeHlhKXTrREqVCmdmsqH7/3JDyxsRVk8Zvwc8qqrXrV5GpREhOL+wszNZyiGa6heE8zalXxc3GhG+G6cf2hMi8iLwYeBfReTBFsUcWOdmc4Tl9sUVVf68uMRy2cazerS8EaGqvqSqu1T1HlW9B/gp8CVVfbbVwQdNoVxhPBuOqf6KKqdtXWPd6p11/ALwdeBVIMvGjQjNOl6bzoYi0bLLZWYLNqVfL1caEa76/ucajirEppeK5IsVeruCu1agWKlwykazhgT3rx1gxyfnKVc0cGsgVZVipUK+WObygk3pN8JukN4Gby4W+NnZcbZnUuwbTJOIxYjHxLf3hCxVKgjCeHaJ0zM5pvJ2d6tGWaK1SbGinJvNcW42x1Cqk70DabakkyhKhw/aPakqJVVKFeXMdJaL8zmbYWyCJZoPTOWLTOVnScSEHX3d7BtI0xETOmLief/rldFrIlfgzEyWq3ZvxpawRPOR5YpyZibLmZksw6kEewfSjKW7XB/ltDpylVU5O5PlwlyeQgiXi7WTJZpPTeaXmcwv0xWPcWNfir0DaeLS2lHOWaUiTOYLnJ7O2p2FXWSJ5nOFsnOLgNems4x0J9g3kGaku7lRrliuUFE4N5vl/GyOJRu9XGeJFiBXc8tczS2TjMe4sa+bvQPdxETorKMPWbm6+3l6aZnT01m7iY7HLNECaKnsFIxPTS8ylu5i30CaoZTTIml1b7Zi2bm75MrolS/Z6NUOlmgBN54tMJ4tkOqIsbOvmz0DaQSn6+bMUpHTM4tcWSyEcitLkG5REqlEOziS4aU3Z1gua+g6vuRLFU5MLXJyapGR7gSLxTK5EN8xOCZwQ2/XtZHc7yKVaMPdCR7YPcr52Rx/mlygohqod8V6KIR69jAuQl9XB3ds6aOvq7Pd4dQtUokGzinVnoE02zMpTkwtcH42h+p1drIaX4iLkIjHuGNLhi3pZLvDaVjkEm1FIh7j9tE+9vanOTYxz9VcAVth5D8xcd4cDw73srO/27frQTcS2URbkU50cO+2QaZyy/xhfJZcsRK667cgEkAEdvd3866h3rpKGH4W+URbMdSd4P6dI7yxsMSx8TnKqjbCtUlcYKS7i9tHM6QT4XiJhuP/okVEhO2ZFFt7krw2vVi98aldv3klLtDd2cGdW/oCM5tYL0u0NcRjwruGe9nV380rE/NcjlBXmHaIi/M7v320j229Sc93LHjBEu06kh1x7t46wP6lIkfH55grlOz6rYViOGcR+wfT7B/seceqljCxRKtDX7KTv94xxHi2wNHxuVAWvL0WE9jWm+LgSC/Jjni7w3GdJVqdRIQtPUkeSHeFuuDttqAWnJtlidYgK3hvTtALzs2yRNskK3jXJywF52ZZojXJCt5rC1vBuVmuNCIUkftE5AUROSEiz4jIYGvC9a+VgvedW/pIxIV4NN+4AWe6fizdxQd3jnDbaF/kkwzca0R4P/BJ4Gachhhf3WyAQbJS8P7Q7jFnulrC0tKiPnGB3kQH920f4t5tg6FZ1dEKrjQiVNXHVPVK9fjngR3rPHco+6OtFLwf2D3Ktt4kIS4PAU6CJeLCnVv6uX/ncOhWdbSCK40IV3kQJ9neIez90VYK3u/fMcxgspN4yCYCYjizifsHe/jQ7jG2Z1KhXNXRCvWM7Q01IqwlIh8ADgKPbiq6kAhjwTtqBedm1ZNo1xoRAg+LyCFWNSKsniK+jYjcDXwL+FtVjXx/n7AUvKNacG5WyxsRAojILcD3gU9UH2+qVgreD+4eZVd/N7GATJjERUh1xHnPDf0cvnHYkqxB9U4LfQF4ChgEfsnGjQh/DPQCz9Scs79PVWc2H2q4BKXgbQXn1nClEaGq7mkurOh4e8F7jlyx7IvrNys4t5YVOnzCKXgPOzu8J+YoV9q3wzuMO5zbzX6LPtLuHd5h3uHcbpZoPuT1Du8o7HBuN0s0H7u2w7tQ5OiV1u/wjtIO53azRAuAvq7WF7yt4OwtS7SAaFXB2wrO7WGJFjArBe8dmRSvNrDDO+o7nNvNEi2gOusseFvB2R8s0QJuvYK3FZz9xRItJGoL3q9MzNOf7LSCs4/YXyFEVgre2zOpdodiVrHzCWM8YIlmjAcs0YzxgCWaMR6wRDPGA5ZoxnjAEs0YD1iiGeMBSzRjPGCJZowHLNGM8YAlmjEecKs/WlpEnq4e/6yIhK+DhTENcKs/2teAY6p6M85djb+96QiNCQFX+qMBHwX+pfrx08D7xO5hZiKsnv1o1/qj4STZYTbuj5YGSiJyDng/MIlz3/6p2oNE5BHgkeqnBRE5Xn/orhnGiTfqMYA/4vBDDAeafQK3+qMpTuOLE0B2vceo6pPAkwAickRV76ovbPf4IQ4/xOCXOPwSQ7PPUc812rX+aKr6MLCHVf3R1nhMDkir6oeBGWCo+l9jIsmV/mjAj4AvVz/+DPDrtZoVGhMVbvVH+ybwAxE5gTP6PVTHz3iyzljc5oc4/BAD+COOUMQgNtAY4z5bGWKMByzRjPGAJZoxHvAs0fywXnITMdwnIi+IyAkReUZEBpuNYTNx1Dxup4gsiMjhdsQgIp8XkePVf4+LSNP9njbxNxkRkV+IyEUR+Z2INN0vXUQOVf++yyIyXMfxDb82vRzR/LBestEY7gc+CdyMM3v61RbEsJk4EJEY8ATQqtUzDcUgIvcCjwLvBW4FnlLVstdxAF8BXgR2At8CHmtBDFPA49Rf6238tamqrv8DxoCXaj6/DfjZBo85DmSqH8eBC1RnSb2KYdXjPw78Rzt+F9XjvgR8Hfh34HAb/h4/BD7ig9fF14BHqh9vBf6thfFcAIbrOK7h16ZXI9q19ZLV5SznaGy95DbeWi/pZQy1HgSeb+LnbzoOEdkNPExr3r03FQOwF8iIyM+rp46fblMc3wU+JyLfAf4J+EYL4mhUw69NrxLNtfWSLscAgIh8ADiIU7RvVkNxVE8Zvwc8qqqFFvz8hmOo6gduBz4CfAp4QkSG2hDHR4EXcN70dgAfazKGzWj8tdnKU4HrDLWjwMs1nx8Cnqn5/B3DLs7w3N/I8NzqGKpfvxs4Aoy243dR/fnnca5LXgSuAq8CD3r893gO+GDN578H7m7D6+ISkKh5XZwBbmzR3+YCq04dW/Xa9GREUx+sl9xMDCJyC/B94BPVxzet0ThU9SVV3aWq96jqPcBPgS+p6rNexVD1NPBFEYmJyD6cU8nTm42hiTjywAPV43fgJGu+mTg20JLXppf90bxYL9nqGH4M9ALP1GxSeJ+qNrsTodE43NBoDE/h7Mt6BUgAn1XV2TbE8RDODOF3gBLOKXVTb4Ii8hzOxMoNwG9EZFJV77tODA2/Nm2tozEesJUhxnjAEs0YD1iiGeMBSzRjPGCJZowHLNGM8YAlmjEe+H/7XukgrAI/PgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339bcde0f0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.5：正多角形の描画\n",
    "# Circle Polygon 正多角形\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "cp1 = mpatches.CirclePolygon(xy=(0.5, 0.5), radius=0.4, resolution=6, color=\"lightblue\")\n",
    "cp2 = mpatches.CirclePolygon(xy=(0.5, 0.5), radius=0.2, resolution=8, color=\"white\")\n",
    "ax.add_patch(cp1)\n",
    "ax.add_patch(cp2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nUPV48/Ii/+/cXKhNAXfCEZgYSPPxyeGOnP2xmbAaEQL8a+AtYE+zRe5UNYILzzohZFXfRxVOXlvm3FJ0E6u3w5GgI+hDe0e7LmTQ2D7aWiNC4BngCbZoRCgitwNfqN/2G5vc7ingKYCpqamGCt6Oih/+JlGYpw2aVa35VH3l9GyOC7nwT9rvlAADCZdHbx3ruM3wRrW8EWF9k/EbwNOqWt7s3SnsRoTVmh/69WfVmk9/jI6MBQc5lHylxqm5HFdWyu0uaVMC9CUcHp8a77hLX7YjjEaE9xH0Q/t6PWR3AA+KyL9X1RdbV3o8XF4pkUkl2j6R2FfFV1goVjg1l2Ou2J4Z9tshwEDS5Z9MjXfNYfyb2TJoqjpTP3L4OPBDNm5E+JKqfql++zeBg6vfFJFvAd9S1ZdaWXgjUq4TnEgOcVQ7t1Tk8Ogg7Ti6r6p4vqLAuaUCZ5eKoZ/OaBUHyKRcHp/a1VFLEuxUWI0IYyEVwR8wX63x3vwKh8cykU0ortaPpl7Jl/hwscC1CNa3byVHgmlrj986TrIHQgYhNSK84fu/v+2qWiTlOlFcUM3puRXSrsPUcDhLF6zOpHcdYbFU5eeLBS7nSm3vgLMTrsBwOsljt451zZUOjejqmSF9rhPZi/HtmWWmC2V+aXKYhCNNvYhWNwkdEYpejSsrZWbyZWaLlY4M1ypXYM9gH/fvGemI0yKt1NVBS7oO6YQT2STZKytlpvMzHBge4JbBNON9qbV9RBFB5B935URkbaRSgmlHCuSrHgulKtMrZa4Vy1Ta3R2xRVyBu8az3DWW6crzZFvp6qBBMBcxygsXfYUzi4W19ecHUy7j/SmSTnBgxiEImQN4qhSqtbWPdl/7FRZX4IE9o7FvFhimrg/axECaKyvltm1yrVRqrFTiMys+SgIkXeGx/eOM9CXbXU5b9UDQUkRyRMRcxxVhtC/JQ3tHSHf5ObJGdH3QBlMJMskEyx1yfqkbOAJ3jw9yZ4/uj22kJ46vHh7LtH3mRi9wgLTr8Pit49w1PmghW6cnghb00LLNxzC5ArszaX7t4ERXXbDZKl2/6QiQcBxuGx7g7FJ7unx2MwdwHeHjtwyzLxv/XtLt0hNBAziyK8u5pSI2srXO6gnoY5PDkUx362Q989tJuQ5HJ7K4ttvQNEeCfbGH943x4N5RC1kDemZEg2DJ7g+XCuTKno1rOyCASPB7PLKre1ZljkJP/aZEhEf2dfbS0u3iijAxkOJTBya4d/ewhWybempEAxhIJnh03xgvX5yLvJd1J3JFGEg6HJscZmIg3e5yOlbPBQ1gfCDFx3YP804bGsd3CleEpCN8dPcQ+7N9dk6sST0ZNIADIwNUfZ9TszkL2zoJkaBF0kTWAtZCPRs0gMNjg/QnXE5cXez5sLki9Cccjk4MsWcwbQFrsZ4OGsD+oX76Ey6vXJpfuzasV6weRRxJJ7l7fJDJjAUsLD0fNAj22X71wARvXllkoVTt6KuYG7E67/O24X4OjWYYTNnLIGz2G67rT7p84taxtTayNe2u0S244DQ46nrnWIb92X47zREhC9o6IsLU8AC7M2l+OpvjwnIRFDr1umchWLI85Qq3DQ9w61A/WRu92sJ+6xvoS7jcd8sIR3ZleXduhbNLwbIEnTAh2amvS5J0glW5pob6GUr39tXNcWBB20R/wuXY5DAfGc9ydinP2aUiJa+GxmiUE4LZ874q4/0p9g72MZlJk0m6dmAjRixoDUgnnGAFp/EsuYrHhaUi55YLlD0fxxG8CIe6hCOsrsA+lE4ymUkzmUkz2pfsuSXcOkmjDQUPAX8FjAJ/B/w7Vb3p2gAi8hjwFWAX8HPgX6rqfPPltl82leDIRJYjE1lKXo35YpXZYoWZfJlcxQs23URQZcdHL911j+GrknCEwVSCXf0pxvqTjKSTDNiI1VEaHdFWGxG+RtD95Uk274/2KeC3gWngv9Tv+6WdlxlPfQmXvVl3bRk1X5WSFzT7y9eXkFsue5RrPp7v4/mKT7BAqhLMwlhdbDXpCEnXoS/hMJhMMJB01z5spOp8oTQiVNUvr7v/94HP3eSxQ+2PFjVHZC0cu9pdjImVRq51WGtEKCLHgTNs0YjwBp8Gvr/RN1T1OVW9X1Xvn5iY2MZDGtNZGgnathoRricinwSOEnSiMaZnNRK0tUaEqvoFgsaC1zUi3OhOIvIA8DXgX2x24MSYXrBl0FR1BsiJyOP1UG3UiPAr6+8jIvcQ7MP9Vv3+xvS0sBoR/g2QBV5YN+B9QlUXdl6qMZ0rlEaEqnpHc2UZ011shRVjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjImBBMyYCFjRjItBQ0ETkkIi8IiKnRORZEdl0PUgRyYjI8/Xbvygi1sHC9LRGR7TV/mj3AGmC/mib+SLwjqoeIVjV+M93XKExXWDLoK3vj6ZBT9dngN/c4m6fJWhACPA88ImbNcMwphc0siT4Wn80gpA9wdb90TKAJyJngF8BZgnW7Z9bf6P1jQiBsoicbLz00OwiqLfXa4B41BGHGu5q9gEaCdpO+qMpQeOL00D+ZvdR1ecIWvUiIsdV9f7Gyg5PHOqIQw1xqSMuNTT7GGH1RysAGVX9DWABGK//vzE9KZT+aMBfA39c//z3gJfq+3fG9KSw+qP9GfBNETlNMPp9voHneK7BWsIWhzriUAPEo46uqEFsoDEmfDYzxJgIWNCMiYAFzZgIRBa0OMyX3EENj4nID0XktIi8ICJjzdawkzrW3e+AiORE5Il21CAifyAiJ+sfz4qIG3UdIjIhIn8rIudE5DURabpfuogcq/99KyKyq4Hbb/u1GeWIFof5ktut4VPAbwNHCI6e/mkLathJHYiIA3wdaNXsmW3VICKPAE8DjwIfBb6tqrWo6wD+BHgdOAB8DfhyC2qYA56l8XO9239tqmroH8Ak8Oa6f98L/O8t7nMSGKp/7gJnqR8ljaqGG+7/m8B/a8fvon67PwK+AnwLeKINf4/vAJ+Jwevii8BT9c/3Av+1hfWcBXY1cLttvzajGtHW5kvWp7OcYXvzJffzj/Mlo6xhvU8D32/i+Xdch4jcDnyB1rx776gG4BAwJCLfrW86/m6b6vgL4PdF5BngPwFfbUEd27Xt12ZUQQttvmTINQAgIp8EjhKctG/WtuqobzJ+A3haVcsteP5t11A3AnwM+AzwO8DXRWS8DXV8FvghwZveFPC5JmvYie2/Nlu5KbDJULsbOLHu38eAF9b9+xeGXYLheWQ7w3Ora6h//QHgOLC7Hb+L+vN/SLBf8jpwDTgFfDriv8f3gF9d9+83gAfa8Lq4AKTWvS4+AG5r0d/mLDdsOrbqtRnJiKYxmC+5kxpE5B7gL4Hfqt+/adutQ1XfVNWDqvrLqvrLwP8C/khVX4yqhrrngT8UEUdEDhNsSr6/0xqaqKMI/Hr99lMEYS02U8cWWvLabHSuYytEMV+y1TX8DZAFXlh3kcInVLXZKxG2W0cYtlvDtwmuy/oJkAKeVNXFNtTxeYIjhM8AHsEmdVNvgiLyPYIDK/uAl0VkVlUf26SGbb82ba6jMRGwmSHGRMCCZkwELGjGRMCCZkwELGjGRMCCZkwELGjGROD/A1HKvV7k53dCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339bd0f588>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.6：楕円形の描画\n",
    "# Ellipse 楕円形\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "e1 = mpatches.Ellipse(xy=(0.5, 0.5), width=0.8, height=0.5, angle=30, color=\"lightblue\")\n",
    "e2 = mpatches.Ellipse(xy=(0.5, 0.5), width=0.5, height=0.2, angle=30, color=\"white\")\n",
    "ax.add_patch(e1)\n",
    "ax.add_patch(e2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339bdb0e48>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.7：扇型の描画\n",
    "# Wedge 扇型\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "w1 = mpatches.Wedge(center=(0.3, 0.55), r=0.25, theta1=30, theta2=-30, color=\"pink\")\n",
    "w2 = mpatches.Wedge(\n",
    "    center=(0.7, 0.4), r=0.25, theta1=210, theta2=150, color=\"lightblue\"\n",
    ")\n",
    "ax.add_patch(w1)\n",
    "ax.add_patch(w2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339be85c50>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.8：四角形の描画\n",
    "# Rectangle四角形\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "r1 = mpatches.Rectangle(\n",
    "    xy=(0.1, 0.4), width=0.5, height=0.5, angle=0, color=\"lightblue\"\n",
    ")\n",
    "r2 = mpatches.Rectangle(xy=(0.4, 0.1), width=0.5, height=0.5, angle=0, color=\"pink\")\n",
    "ax.add_patch(r1)\n",
    "ax.add_patch(r2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2339bf1d518>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# リスト5.1.9：多角形の描画\n",
    "# Polygon 多角形\n",
    "fig = plt.figure(figsize=(3, 3))\n",
    "ax = fig.add_subplot(111)\n",
    "p1 = mpatches.Polygon(xy=[(0, 0.2), (0.3, 0.8), (0.6, 0.2)], facecolor=\"lightblue\")\n",
    "p2 = mpatches.Polygon(xy=[(0.4, 0.8), (0.7, 0.2), (1.0, 0.8)], facecolor=\"pink\")\n",
    "ax.add_patch(p1)\n",
    "ax.add_patch(p2)\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}