{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6b74143f",
   "metadata": {},
   "source": [
    "# Matplotlibでデータの可視化（40分）\n",
    "\n",
    "この章では、第5章で加工した売上データを使用し、Matplotlibでの基本的なグラフの描画方法と、グラフの使い分けについて学びます。\n",
    "\n",
    "```{note}\n",
    "入力が遅れた場合などに、{nb-download}`この章のNotebook <6_matplotlib.ipynb>`をダウンロードできます。ダウンロードしたファイルを作業フォルダに置き、JupyterLabのファイルブラウザでダブルクリックして開いてください。\n",
    "ダウンロードしたNotebookには、この章の説明の文章も入っています。図などの一部の書き方は、JupyterLabでは記号のまま表示されます。\n",
    "\n",
    "自分で作った`6_matplotlib.ipynb`と同じ名前のため、上書きしないように注意してください。\n",
    "```\n",
    "\n",
    "(visualization)=\n",
    "## 可視化とは\n",
    "\n",
    "**可視化**とは、データをグラフなどの図にして、傾向やパターンを目で見て分かるようにすることです。\n",
    "第5章の`describe()`メソッドのような数値の要約だけでは、データの特徴が分からないことがあります。\n",
    "\n",
    "その例として、統計学者のアンスコムが示した4組のデータ（アンスコムの例）があります[^anscombe]。\n",
    "4組（I〜IV）は、それぞれxとyの11組の値からなります。\n",
    "次の表のとおり、4組のxとyの平均、分散、xとyの相関は、ほぼ同じです。\n",
    "\n",
    "```{table} アンスコムの例の4組のデータの統計量\n",
    "| 組 | xの平均 | xの分散 | yの平均 | yの分散 | 相関 |\n",
    "|---|---|---|---|---|---|\n",
    "| I | 9.00 | 11.00 | 7.50 | 4.13 | 0.82 |\n",
    "| II | 9.00 | 11.00 | 7.50 | 4.13 | 0.82 |\n",
    "| III | 9.00 | 11.00 | 7.50 | 4.12 | 0.82 |\n",
    "| IV | 9.00 | 11.00 | 7.50 | 4.12 | 0.82 |\n",
    "```\n",
    "\n",
    "ところが、4組のデータを散布図（xとyの値を点で表したグラフ）にすると、形がまったく違います。\n",
    "\n",
    "```{figure} images/6_anscombe.png\n",
    ":alt: アンスコムの例の4組のデータの散布図\n",
    "\n",
    "アンスコムの例の4組のデータの散布図\n",
    "```\n",
    "\n",
    "* I：点が直線の周りにばらついている\n",
    "* II：点が曲線の上に並んでいる\n",
    "* III：1点を除いて、点が直線の上に並んでいる\n",
    "* IV：1点を除いて、xの値がすべて同じ\n",
    "\n",
    "このように、グラフに可視化することで、数値の要約だけでは分からない形や、ほかから離れた値（外れ値）に気付けます。\n",
    "\n",
    "出典: Anscombe, F. J. (1973). Graphs in Statistical Analysis. *The American Statistician*, 27(1), 17–21.\n",
    "\n",
    "[^anscombe]: アンスコムの例（Wikipedia）：<https://ja.wikipedia.org/wiki/%E3%82%A2%E3%83%B3%E3%82%B9%E3%82%B3%E3%83%A0%E3%81%AE%E4%BE%8B>\n",
    "\n",
    "## さまざまな可視化ライブラリ\n",
    "\n",
    "**Matplotlib**は、Pythonでグラフを描画するための基本的なライブラリです。\n",
    "折れ線グラフ、棒グラフ、散布図など、さまざまなグラフを描画できます。\n",
    "Pythonの可視化の基礎となるライブラリで、Matplotlibの上に作られたライブラリも多くあります。\n",
    "\n",
    "* Matplotlib公式サイト：<https://matplotlib.org/>\n",
    "\n",
    "ここでは、Matplotlibのほかによく使われる2つの可視化ライブラリを紹介します。\n",
    "\n",
    "**Seaborn**は、Matplotlibの上に作られたライブラリで、統計的なグラフを少ないコードで描画できます。\n",
    "\n",
    "* Seaborn公式サイト：<https://seaborn.pydata.org/>\n",
    "\n",
    "```{figure} images/6_seaborn.png\n",
    ":alt: SeabornのExample galleryの画面\n",
    "\n",
    "SeabornのExample gallery（<https://seaborn.pydata.org/examples/index.html>）\n",
    "```\n",
    "\n",
    "**Plotly**は、拡大・縮小や、マウスを重ねて値を表示するなどの操作ができる、インタラクティブなグラフを描画できるライブラリです。\n",
    "\n",
    "* Plotly公式サイト：<https://plotly.com/python/>\n",
    "\n",
    "```{figure} images/6_plotly.png\n",
    ":alt: PlotlyのPython向けのページの画面\n",
    "\n",
    "PlotlyのPython向けのページ（<https://plotly.com/python/>）\n",
    "```\n",
    "\n",
    "講座の環境にはSeabornとPlotlyをインストールしていません。\n",
    "ここではMatplotlibを可視化ライブラリとして使用します。\n",
    "\n",
    "## 売上データの折れ線グラフを描画する\n",
    "\n",
    "第4章の{ref}`jupyter-start`の手順で、作業フォルダでJupyterLabを起動してください。\n",
    "新しいNotebookを作成し、名前を`6_matplotlib.ipynb`に変更します。\n",
    "\n",
    "ここではグラフ描画用のデータとして、第5章で作成した加工済みの売上データ`sales_clean.csv`を使います。\n",
    "`sales_clean.csv`を作業フォルダの直下（`6_matplotlib.ipynb`と同じ場所）に置いてください。\n",
    "第5章のコードを実行できなかった場合は、{download}`sales_clean.csv`をダウンロードして作業フォルダに置いてください。\n",
    "\n",
    "(matplotlib-load-sales-data)=\n",
    "### 売上データの読み込み\n",
    "\n",
    "第5章と同じく、`pd.read_csv()`関数で日付の列を日付の型として読み込みます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6c539302",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"sales_clean.csv\", parse_dates=[\"date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "32fc578a",
   "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>date</th>\n",
       "      <th>store</th>\n",
       "      <th>item</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>東京店</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>38</td>\n",
       "      <td>400</td>\n",
       "      <td>15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>東京店</td>\n",
       "      <td>紅茶</td>\n",
       "      <td>24</td>\n",
       "      <td>450</td>\n",
       "      <td>10800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>東京店</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>19</td>\n",
       "      <td>500</td>\n",
       "      <td>9500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>大阪店</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>35</td>\n",
       "      <td>400</td>\n",
       "      <td>14000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>大阪店</td>\n",
       "      <td>紅茶</td>\n",
       "      <td>20</td>\n",
       "      <td>450</td>\n",
       "      <td>9000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date store  item  quantity  price  amount\n",
       "0 2026-04-01   東京店  コーヒー        38    400   15200\n",
       "1 2026-04-01   東京店    紅茶        24    450   10800\n",
       "2 2026-04-01   東京店   ケーキ        19    500    9500\n",
       "3 2026-04-01   大阪店  コーヒー        35    400   14000\n",
       "4 2026-04-01   大阪店    紅茶        20    450    9000"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2deb2ee7",
   "metadata": {},
   "source": [
    "第5章で追加した売上金額（`amount`）の列があることを確認してください。\n",
    "\n",
    "Matplotlibでグラフに日本語を表示するには、フォントの設定が必要です。\n",
    "そのため、この章ではしばらく、店舗名（`store`）を英語に書き換えたデータを使います。\n",
    "日本語を表示する方法は、{ref}`japanese-font`の節で説明します。\n",
    "商品名（`item`）は、グラフに表示しないため日本語のままです。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b5a4d91",
   "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>date</th>\n",
       "      <th>store</th>\n",
       "      <th>item</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>38</td>\n",
       "      <td>400</td>\n",
       "      <td>15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>紅茶</td>\n",
       "      <td>24</td>\n",
       "      <td>450</td>\n",
       "      <td>10800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>19</td>\n",
       "      <td>500</td>\n",
       "      <td>9500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>35</td>\n",
       "      <td>400</td>\n",
       "      <td>14000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>紅茶</td>\n",
       "      <td>20</td>\n",
       "      <td>450</td>\n",
       "      <td>9000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  store  item  quantity  price  amount\n",
       "0 2026-04-01  Tokyo  コーヒー        38    400   15200\n",
       "1 2026-04-01  Tokyo    紅茶        24    450   10800\n",
       "2 2026-04-01  Tokyo   ケーキ        19    500    9500\n",
       "3 2026-04-01  Osaka  コーヒー        35    400   14000\n",
       "4 2026-04-01  Osaka    紅茶        20    450    9000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# storeを英語に書き換える\n",
    "df[\"store\"] = df[\"store\"].replace({\"東京店\": \"Tokyo\", \"大阪店\": \"Osaka\", \"名古屋店\": \"Nagoya\"})\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dc1f66d",
   "metadata": {},
   "source": [
    "### Matplotlibで折れ線グラフを描画\n",
    "\n",
    "Matplotlibでグラフを描画するには、`matplotlib.pyplot`をインポートします。\n",
    "**pyplot**は、Matplotlibでグラフを描画するための機能をまとめたモジュールです。\n",
    "`plt`という別名でインポートするのが慣例です。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f9909590",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d951dd50",
   "metadata": {},
   "source": [
    "第5章の`groupby()`メソッドで、日ごとの売上金額の合計を求めます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a1e25144",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date\n",
       "2026-04-01    86900\n",
       "2026-04-02    80050\n",
       "2026-04-03    73500\n",
       "2026-04-04    80550\n",
       "2026-04-05    84500\n",
       "Name: amount, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 日ごとの売上金額の合計を計算\n",
    "df_daily = df.groupby(\"date\")[\"amount\"].sum()\n",
    "df_daily.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c1bd115",
   "metadata": {},
   "source": [
    "日ごとの売上金額の合計を、折れ線グラフにします。\n",
    "**折れ線グラフ**は、値を線で結んだグラフで、時間とともに値がどう変わるか（推移）を見るために使います。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f23f670",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()  # 描画オブジェクトとサブプロットを生成\n",
    "ax.plot(df_daily)  # 折れ線グラフを描画\n",
    "plt.show()  # グラフを表示"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "714c5c0b",
   "metadata": {},
   "source": [
    "Matplotlibのグラフは、描画オブジェクトとサブプロットからできています。\n",
    "\n",
    "* **描画オブジェクト**（Figure）：グラフ全体を描画する領域\n",
    "* **サブプロット**（Axes）：描画オブジェクトの中で、グラフを描画する領域\n",
    "\n",
    "`plt.subplots()`関数で描画オブジェクト（`fig`）とサブプロット（`ax`）を生成し、サブプロットの`plot()`メソッドで折れ線グラフを描画します。\n",
    "`plot()`メソッドにSeriesを渡すと、インデックス（日付）が横軸、値（売上金額の合計）が縦軸になります。\n",
    "最後の`plt.show()`関数でグラフを表示します。\n",
    "\n",
    "これだけのプログラムでシンプルな折れ線グラフが描画できます。\n",
    "ただ、このグラフには、何のグラフか、横軸と縦軸が何を表すかが書かれていません。\n",
    "次の節でグラフをカスタマイズして、より意味がわかりやすいグラフにします。\n",
    "\n",
    "## グラフをカスタマイズする\n",
    "\n",
    "まずは、このグラフが何を表すものかわかりやすくするために、タイトルと軸ラベルを付けます。\n",
    "\n",
    "* **タイトル**：グラフの上に表示する、グラフの名前\n",
    "* **軸ラベル**：横軸と縦軸に表示する、軸が表す値の名前\n",
    "\n",
    "タイトルはサブプロットの`set_title()`メソッド、軸ラベルは`set_xlabel()`メソッド（横軸）と`set_ylabel()`メソッド（縦軸）で付けます。\n",
    "ここでは英語のタイトルと軸ラベルを設定します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fc2803fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(df_daily)\n",
    "ax.set_title(\"Daily sales\")  # タイトル\n",
    "ax.set_xlabel(\"Date\")  # 横軸のラベル\n",
    "ax.set_ylabel(\"Sales (yen)\")  # 縦軸のラベル\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb9a154f",
   "metadata": {},
   "source": [
    "タイトルと軸ラベルが付きました。\n",
    "ただし、横軸の日付の目盛りが重なっていて読みにくくなっています。\n",
    "\n",
    "描画オブジェクトの`autofmt_xdate()`メソッドを使うと、日付の目盛りが斜めになり、重ならなくなります。\n",
    "前のセルのコードをコピーして、`plt.show()`の前に1行追加します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1f8ad01c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(df_daily)\n",
    "ax.set_title(\"Daily sales\")\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Sales (yen)\")\n",
    "fig.autofmt_xdate()  # 日付の目盛りを斜めにする\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6c047f3",
   "metadata": {},
   "source": [
    "グラフから、日ごとの売上は約6.7万〜8.8万円で推移していることが分かります。\n",
    "4月8日が最も少なくなっています。\n",
    "これは、第5章で欠損値を0にした名古屋店のコーヒーの行がある日です。\n",
    "\n",
    "### コラム：pyplotインタフェースとオブジェクト指向インタフェース\n",
    "\n",
    "Matplotlibのグラフの書き方には、2つの種類があります。\n",
    "\n",
    "この章で使っている、`plt.subplots()`関数で描画オブジェクトとサブプロットを生成し、サブプロットのメソッドで描画する書き方を、**オブジェクト指向インタフェース**といいます。\n",
    "オブジェクト指向インタフェースでは、次のように1つの描画オブジェクトに複数のサブプロットを配置して、それぞれにグラフを描画できます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "81f79bcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2)  # 2行2列のサブプロットを配置\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8009061b",
   "metadata": {},
   "source": [
    "一方、Webで見つかるMatplotlibのコードでは、描画オブジェクトとサブプロットを生成せずに、`plt`の関数で描画する**pyplotインタフェース**もよく見られます。\n",
    "次のコードでも、タイトルと軸ラベルを付けた最初のグラフと同じグラフが描画できます。\n",
    "\n",
    "```python\n",
    "plt.plot(df_daily)\n",
    "plt.title(\"Daily sales\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Sales (yen)\")\n",
    "plt.show()\n",
    "```\n",
    "\n",
    "この講座では、オブジェクト指向インタフェースを使います。\n",
    "\n",
    "## 棒グラフで比較する\n",
    "\n",
    "**棒グラフ**は、項目ごとの値を棒の高さで表したグラフで、項目どうしを比べるために使います。\n",
    "ここでは、店舗ごとの売上金額の合計を比べます。\n",
    "\n",
    "日ごとの売上金額の合計と同じく`groupby()`メソッドで、店舗ごとの売上金額の合計を求めます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "de9d7820",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "store\n",
       "Nagoya    641850\n",
       "Osaka     815050\n",
       "Tokyo     988500\n",
       "Name: amount, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 店舗ごとの売上金額の合計を計算\n",
    "df_store = df.groupby(\"store\")[\"amount\"].sum()\n",
    "df_store"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f69f809",
   "metadata": {},
   "source": [
    "店舗ごとの売上金額の合計を、棒グラフにします。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1cd81231",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAHGCAYAAACIDqqPAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvgI3uAAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAPSBJREFUeJzt3Xt8z/X///H7mG0xG2Zjsc05JqIcc8ohckpOTTkmH8eQUK1Un1IhESIph0lKiE+FhDCnzWEORY7Z2hzHsAPb7PD8/eHn/e2dQzPjzWu36+Xyvly8nq/n8/V6vNY77nu9nq/Xy8kYYwQAAGAReRxdAAAAQE4i3AAAAEsh3AAAAEsh3AAAAEsh3AAAAEsh3AAAAEsh3AAAAEsh3AAAAEsh3ADItkuXLmnSpEnas2fPXdvn+fPnNWnSJP3xxx93bZ8A7i+EGyCXSUhI0C+//KIvv/xSixYtuq2QkJCQoGHDhmnjxo05WOHNnT59WsOGDdO2bdvu2j5vJCEhQZMmTdLvv//u6FIA/A3hBshFpkyZooCAAL3yyisKCwvTkiVLVKtWLdWoUUMRERGOLu++c+7cOQ0bNkybN292dCkA/oZwA+QS69at09ChQ9W9e3ft3btXs2fP1rfffqujR4+qaNGi2rVrl6NLBIAc4ezoAgDcHStXrpQk9evXT05OTrZ2Hx8fLVu2TJGRkXb9J02aZPuzi4uL/Pz81LhxY7m7u2dpf6mpqVq/fr2OHj0qd3d3NW7cWCVLlrTrk56ervXr1ysqKkoeHh6qWbOmSpcuneVjSk9P18qVK3Xs2DEFBgaqYcOGtnVJSUmaOXOmateurbp1614zNiQkRO7u7urUqdNNt3+j+o4dO6bZs2dLktauXauUlBRJUvXq1dWoUSPbNs6fP6+1a9fq9OnTKlasmJo2bapChQrZrZ87d66aN2+uihUras2aNTp06JDatm2rgIAASdLJkycVGhqqc+fOyd/fX82aNZObm1uWf05AbsOZGyCXKFKkiKQr/yj/k7Ozs8qXL2/XFhUVZfvs2LFDI0aMUEBAgMLCwv51X5s2bVK5cuU0cOBAbdu2TQsWLFC5cuU0YcIEW5/o6Gg99NBD6t+/v8LCwvTjjz+qZcuWGjFiRJaOJz4+Xk8++aTmzp2r1atX66mnnlLr1q1tIcPd3V0hISEaNGjQNWMPHjyoF154QYcOHbrh9v+tvpSUFNvPMi4uzvazOnfunG0bCxYsUEBAgN577z3t2LFD7733ngICArR48WJbn6tziNasWaPmzZtrxowZWrx4sfbv3y9JevvttxUQEKAZM2Zo586deu2111ShQoW7OokbuO8YALlCdHS0KVSokPHx8THjx483e/bsMampqVken5mZadq1a2fKly9vazt58qSRZD799FNbW0xMjPHw8DDt2rUzKSkptvZ58+YZSebXX381xhgzYMAAU6JECZOcnGzrk5GRYX755Zeb1rF//34jyZQuXdrs2bPH1r5lyxaTN29e8+qrr9raZsyYYSSZsLAwu20MGTLE5M2b1xw7duyG+8lKfZGRkUaSmT59+jXj9+3bZ/Lly2e6detmMjIyjDHGpKenm+eee864uLiY/fv32x1PqVKlzO7du40xV37Wp06dMtOmTTOSzNdff23b7uXLl02bNm1MqVKlbum/H5CbEG6MMREREWbt2rW3vZ24uDizefNmc+LEiRyoCsh5hw4dMr179zbFihUzkoyrq6tp1qyZWbx48XX7//7772bu3Llm8uTJ5pNPPjFBQUFGkomNjTXGXD/cvPnmm0aSiYyMvGZ7FSpUMF26dDHGGNOlSxfj6+trLly4cEvHcDUM9OrV65p1HTt2NIUKFbKFiaSkJOPp6Wl69Ohh63Px4kVTqFAh07p165vuJyv13SzcDBs2zEi6JkDFxMQYSWb48OF2x/P3Gq8qVaqUqV+//jXtW7duNZLMsmXLbnoMQG6Vq+fczJkzR5988olOnTqlhIQE2+nsW5WRkaGRI0fq888/V9WqVXXu3Dk99dRTmjJlSg5XDNye8uXLa9asWZKuzOPYvHmzpk6dqk6dOumtt97Se++9J+nK82s6d+6sdevWqXHjxgoICJCLi4suXLggSYqNjZW3t/d19xEREaEHHnhAy5YtkySZK79EyRijvHnz6sCBA5KkAQMG6Mcff1Tp0qXVtm1bNWzYUM2bN5efn1+WjuWRRx65btv333+v48ePy8/PTwUKFFDPnj31xRdfaOLEifLy8tI333yjCxcu6MUXX7zp9m+3vn379snHx0clSpSway9ZsqS8vb21d+9eu/aqVavaLV+91OXv76+pU6fKGCPpys8zKSlJknTgwAG1bt06S/UAuUmunnNz4sQJzZs3Tx9++OFN+6WlpSkiIkIRERG6ePHiNevfeOMNzZ8/Xzt37lR4eLgOHTqkatWq3aGqgZzh6+urTp066ddff1XlypU1btw4paWlSbpyy/jPP/+sTZs2afny5frss880adIktWjRQpJs/9BeT1pampydnXXkyBEdOXJEf/75p44eParIyEg1b95czz77rCSpYcOGOnTokN566y1duHBBr776qkqVKqXBgwdnqf68efNe0+bsfOX3tczMTFvbwIEDlZqaapv8O336dPn4+KhNmzY33f7t1peRkWGr53p1ZmRk2LV5eXnZLV/9b5GSkmL7OV79WcbGxmro0KHXBCIA/58jTxvdK7788kvj6up63XWrV682vr6+JjAw0NSoUcMULlzY7vr3uXPnjJubm5kyZcrdKhfIlpiYmBuue/bZZ+0uoTz77LOmZMmS1/Tr3r27kWR+//13Y8z1L0sNHjzY5M2b1yQmJt5SfWlpaWbIkCHXnSPzd1cv4wwcOPC69eXPn99cvnzZrr1p06ambNmyZsuWLUaSGTFixC3VdqP6/vrrrxtelurfv79xcnIy58+ft2uPi4szTk5OZsCAAXbHM2fOHLt+GRkZxsvLy3To0OGWawVyu1x95ubfnDhxQh07dtS0adO0b98+bd++XYsXL1bfvn1tt82GhYUpJSVFrVq1UmRkpMLCwnTmzBkHVw5ca9q0aRoyZIguXbpk13769GmFhobK399fvr6+kqRSpUopNjZWp0+ftvXbs2eP7Xbym+nXr5/y5Mmj4ODga87wJCUl2e4CioiIsFvv7OysOnXqSFKWLhEvW7ZMJ06csC3/+eefWrRokZ577jnly5fPru+gQYP0559/6oUXXpAk9e7d+1+3n5X6fHx85OTkpLi4uGvG9+jRQ8YYjRkzxq79gw8+kCT17NnzpvvPkyePBg0apB9//FGbNm26Zv2hQ4eUkJDwr8cB5Ea5es7Nv5k/f76KFCmiwoULa926dba/6IoUKaJ169apdOnSOnnypJycnPTxxx/r559/VrFixfTbb7+pb9++mjx5soOPAPg/VatW1ZAhQ7Rw4UJ16tRJfn5+iomJ0cKFC+Xk5KT58+crT54rv+8MHTpUc+fOVcOGDdW1a1edPn1aW7Zs0auvvqqRI0fedD+VK1fWd999p169eik8PFzNmjVT/vz5dfjwYYWGhmr8+PGqVKmSQkJC1K1bNz3xxBMqVaqUTp48qa+++krt2rWze17NjfTv31+dOnVS/fr1ZYzR3LlzVaFCBX300UfX9H366afl5+engwcP6vHHH1elSpX+dftZqc/NzU0tWrTQtGnTlJGRIQ8PD9tzburWrauxY8fqjTfe0P79+1WzZk1t27ZNK1as0Pjx41W7du1/reHtt9/WiRMn1LhxY3Xs2FFVqlRRfHy89uzZo2PHjmn9+vX/ug0gN3Iy//zVKheaOXOmXnrppWt+W+zbt6+WLFly3fkzvXv31vPPP6+vvvpKPXv2VLdu3TR37lzlyZNHO3bs0OOPP66QkBA9//zzd+kogH+XlpamtWvXat++fTp58qTc3d1VpUoVtWjRQgUKFLDre/78eX3zzTc6duyYypQpo6CgIB0+fFjz5s3T66+/ruLFiysxMVFvvfWWLWT83YULF/Tjjz/q4MGDypcvnypUqKDWrVvL09PT1ufo0aNatWqVoqKi5OXlpQYNGtjOjtxIbGysPvzwQz3//PMqV66c5s+fb3uIX5cuXeTq6nrdcSNHjtTHH3+sWbNmZenMTVbrS0pK0oIFC3To0CFdvnxZjRo1Uvv27W3rDxw4oGXLltke4vf000+rQoUK1z2eWrVqXbeOffv2adWqVTp58qSKFSum6tWrq3HjxnYPYwTwfwg3unG4ufpgrZu9FG/jxo1q2LChVq9erWbNmtnaa9Soodq1a2vatGl3rG4AWdegQQPt3r3bFuoAWBdzbm6iSZMm2rdvn3bs2GHXfvnyZdu8hdq1a6tIkSL666+/bOvT0tJ04sQJFStW7K7WC+D6IiMjtXnzZvXo0YNgA+QCuXrOzd69e3Xq1Cnt379fmZmZWrNmjSSpVq1a8vDwUJs2bdSxY0e1bNlSwcHBKlu2rA4ePKiQkBD98MMPKl++vFxcXDRu3Di9/vrrSklJUYkSJRQSEqKMjAz17dvXwUcI5G5XLwnNnz9fXl5eGjVqlKNLAnAX5OrLUh988IHWrVt3Tfunn35qm3CYmZmpb7/9VsuXL9fFixcVGBiovn37XvNyv59//llff/21Ll68qMqVK2vIkCGcuQEcLCIiQl9//bW8vb3VrVs3+fv7O7okAHdBrg43AADAephzAwAALIVwAwAALCVXTijOzMzUiRMnVLBgQZ4TAQDAfcIYo8TERD344IO2h45eT64MNydOnMjym30BAMC9JSYmRiVLlrzh+lwZbgoWLCjpyg/Hw8PDwdUAAICsSEhIkJ+fn+3f8RvJleHm6qUoDw8Pwg0AAPeZf5tSwoRiAABgKYQbAABgKYQbAABgKYQbAABgKYQbAABgKfdEuPn999+1ePFinTlzJkv9jTHavn27li1bpqioqDtbHAAAuK84NNysW7dO9evX1zPPPKPOnTtr3759/zomISFBDRo00NNPP60JEyaocuXKGjVq1F2oFgAA3A8c+pyb8+fPa8yYMSpdunSWnxg8atQonT59Wvv371ehQoUUGhqqJ554Qk2aNFGTJk3ucMUAAOBe59AzNx06dFCDBg2y3N8Yo6+//lovvviiChUqJElq1KiRatasqa+//voOVQkAAO4n99UTio8dO6bz58+ratWqdu1Vq1bV7t27bzguNTVVqamptuWEhIQ7VSIAAHCwe2JCcVbFx8dLkgoXLmzX7uXlpQsXLtxw3JgxY+Tp6Wn78NJMAACs674KN66urpKkS5cu2bUnJSXJzc3thuOCg4MVHx9v+8TExNzROgEAgOPcV5el/Pz85OzsrOjoaLv26OholSlT5objXF1dbcEIAABY2z1/5iYiIkKrV6+WJLm5ualx48ZavHixbX1cXJx+/fVXtWzZ0lElAgCAe4hDz9z89ddf2r59u86dOydJCg0N1dmzZxUYGKjAwEBJ0vTp0xUeHq69e/dKksaOHasGDRrohRdeUN26dfXll1+qQoUK6t27t8OOAwDwf0q9vtzRJcDBosa2duj+HXrmJjIyUgsWLNCqVavUsWNH/f7771qwYIEtyEhSjRo11Lx5c9vyo48+qoiICBUuXFihoaHq2LGjNm7cyGUnAAAgSXIyxhhHF3G3JSQkyNPTU/Hx8fLw8HB0OQBgKZy5wZ06c5PVf7/v+Tk3AAAAt4JwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALIVwAwAALMXZ0QVI0uXLl5WQkCAvLy85OTllaUx6erri4+NVpEiRLI8BcoNSry93dAlwsKixrR1dAuBQDj1zk5mZqeHDh6tQoUIqVaqUSpYsqaVLl950THR0tJ566ikVKFBAFSpUkIeHh4YPH67MzMy7VDUAALiXOTTcTJgwQXPmzNGWLVuUkJCg1157TUFBQdq/f/8Nx/znP/9RfHy8Tp06pbi4OK1du1bTp0/XjBkz7mLlAADgXuXQcDNt2jT16dNH1apVU548eTRkyBD5+/vriy++uOGYw4cPq0WLFipcuLAkqWbNmipfvryOHDlyt8oGAAD3MIfNuYmNjdVff/2levXq2bXXr19f27Ztu+G4IUOGaMqUKWrQoIECAgK0atUqHT9+XL169brDFQMAgPuBw8LNmTNnJElFixa1ay9atKi2bNlyw3F9+/bV1q1b1bx5c3l6eurixYuaMmWKqlSpcsMxqampSk1NtS0nJCTcZvUAAOBe5bBwkyfPlSti6enpdu1paWnKmzfvDcc988wzSklJUWxsrLy8vLRjxw41bdpUktSvX7/rjhkzZozefffdHKocAADcyxw256ZEiRKSpFOnTtm1nz592rbun06dOqXVq1dr5MiR8vLykiTVqFFDnTp1UkhIyA33FRwcrPj4eNsnJiYmZw4CAADccxwWbjw8PFStWjWtXr3a1paenq5ff/1VDRs2tLWdP39ep0+fliQVKFBATk5OSkxMtNtWQkKC3N3db7gvV1dXeXh42H0AAIA1OfQhfm+99ZaCgoJUs2ZN1a1bVx9//LEkacCAAbY+I0eOVHh4uPbu3auCBQvqmWee0ahRo1SkSBGVKVNGq1at0tKlSzVnzhxHHQYAALiHODTcdOjQQV9//bUmT56sjz76SFWqVFFoaKi8vb1tfYoUKaLixYvblr/66iuNHz9e//3vfxUXF6eAgADNnz9fQUFBjjgEAABwj3EyxhhHF3G3JSQkyNPTU/Hx8VyiguXw+gU4+vULfAdxp76DWf33mxdnAgAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAASyHcAAAAS3F2dAFWU+r15Y4uAQ4WNba1o0sAgFyNMzcAAMBSCDcAAMBSCDcAAMBSCDcAAMBSsjWh+I8//tCGDRt07NgxSZKfn58aNmyoSpUq5WhxAAAAtyrL4SYzM1NfffWVJk6cqN9//10+Pj4qVqyYJOn06dOKjY3VI488omHDhql79+7Kk4eTQgAA4O7LcripVauWMjMz1b9/f7Vp00b+/v526//66y8tW7ZMkydP1qeffqodO3bkeLEAAAD/Jsvh5s0331T79u1vuD4gIECDBg3SoEGDtHTp0hwpDgAA4FZl+drRzYLN7fQFAADISQ6fGLNw4ULVq1dP5cqVU/v27bV///5/HXP69GkNGTJEDz/8sGrVqqWZM2fehUoBAMD9IFvhJjo6Wu3bt5ePj4+cnZ2v+WTV0qVL1bVrV3Xv3l3ff/+9ChYsqEaNGunMmTM3HBMbG6vatWvr6NGjmjNnjubMmaOIiAht2rQpO4cCAAAsJlu3gvfu3VuXL1/W5MmTVbhw4WzvfPTo0erZs6f69+8vSZo9e7Z8fX01ffp0vf3229cdM2rUKDk7O2vJkiVycXGRJE2fPl2ZmZnZrgMAAFhHtsJNeHi4jhw5ouLFi2d7xwkJCdq1a5dee+21/yvG2VlNmzbVhg0brjvGGKPFixdr8ODBtmBzFbeeAwAAKZuXpXx9fW87TBw/flySrglIxYoVs637pzNnzuj8+fMqXry4unTpovLly6tRo0aaPXu2jDE33FdqaqoSEhLsPgAAwJqylVB69+6tN998U5cvX872jq9eRvrnHJ18+fIpIyPjumPS0tIkSa+99pqaN2+u5cuXq0+fPnrppZc0ZcqUG+5rzJgx8vT0tH38/PyyXTcAALi3Zeuy1Lx587R//35999138vPzk5OTk936vXv3/us2vL29JUlnz561az979qxt3T95eXkpT5486ty5s3r37i1JqlChgsLCwhQSEqKhQ4ded1xwcLBeeeUV23JCQgIBBwAAi8pWuOnbt+9t79jHx0cBAQHavHmz2rVrZ2vftGmT2rZte90xbm5uqlatmtzd3e3aCxYsqOTk5Bvuy9XVVa6urrddMwAAuPdlK9y8/PLLObLzQYMGaezYseratauqVKmiqVOnKjo62i48vfrqq9q5c6fWrFkjSRo6dKhGjBihfv36KTAwUIcOHdJXX32lHj165EhNAADg/patcHNVcnKyoqKisv028OHDh+vkyZOqU6eO8ubNKw8PDy1YsMBue+fOndOpU6dsyz169NDx48f1+OOPK0+ePLp8+bJ69+6t995773YOBQAAWES2JhQnJSWpW7ducnd3V2BgoK392WefVURERNZ3niePJk6cqPj4eEVGRur48ePq0KGDXZ/x48fr119/tWsLDg7W2bNndejQISUmJmrKlClcdgIAAJKyGW6Cg4N1/Phxbd++3a69V69eevfdd295ey4uLvL29r5mYrIkFS5cWMWKFbum3dnZWUWLFr3uGAAAkHtl67LU0qVLtWHDBpUpU8auvU6dOgoKCsqRwgAAALIjW2duzp49Kx8fH0myO3OSnJx804fpAQAA3GnZCjfVqlXTihUrJNmHm8mTJ6t27do5UxkAAEA2ZOuy1Pvvv68OHTpoy5YtkqRx48Zp5cqV2rx5s9auXZujBQIAANyKbJ25adasmX755RdFRkaqePHimjRpkvLnz6/Q0FDVr18/p2sEAADIsmyduUlOTlbdunX1ww8/5HQ9AAAAtyXbbwXv37+/tm3bltP1AAAA3JZshZtPP/1UBw8eVJ06dVSlShV98sknOnPmTE7XBgAAcMuyFW66d++udevW6ciRI3rmmWf0ySefqESJEurYsaOWL1+ujIyMnK4TAAAgS7IVbq4qU6aMRo8eraioKE2YMEHLli1TmzZt5O/vr3Hjxik1NTWn6gQAAMiS23pxZlJSkhYuXKjZs2crLCxMjRs3Vp8+fRQbG6tJkyYpPDxcS5cuzalaAQAA/lW2ws2mTZs0e/ZsLVy4UJ6enurVq5fmzZun0qVL2/oEBQXJ398/xwoFAADIimyFmyeeeEKtWrXSt99+q1atWilv3rzX9ClWrJheeOGF2y4QAADgVmQr3MTExMjX1/df+33++efZ2TwAAEC2ZXlC8dy5c5WZmSlJNw02GRkZmjt37u1XBgAAkA1ZDjchISEKDAzUhAkTdOjQIbt1xhj98ccfGjt2rCpVqqSQkJCcrhMAACBLsnxZat26dVq6dKnGjx+vESNGqGDBgvLx8ZExRrGxsUpKSlK9evU0btw4tW/f/k7WDAAAcEO3NOemffv2at++vaKjo7V582bFxMTIyclJJUuWVP369eXn53en6gQAAMiSbE0o9vf35zZvAABwT7qtJxQDAADcawg3AADAUgg3AADAUgg3AADAUrIVbs6cOaPPPvvMtjx79mxVrFhRrVu31qlTp3KsOAAAgFuVrXAzcuRIeXp6SpJOnTqll156Sc8995yMMRo+fHiOFggAAHArsnUr+IoVK/TJJ59IklauXKnGjRvrnXfe0YkTJ1S9evUcLRAAAOBWZOvMzeXLl5WWliZJWrNmjZo1ayZJcnd3V2pqas5VBwAAcIuyFW7q1aunQYMG6bPPPtPSpUvVtm1bSdLWrVtVp06dHC0QAADgVmQr3EybNk1JSUmaOnWqPvroI5UrV06SNGXKFI0aNSpHCwQAALgV2ZpzU6pUKf3888/XtP/000+3XRAAAMDtuK3n3CQnJ2v//v05VQsAAMBty1a4SUpKUrdu3eTu7q7AwEBb+7PPPquIiIgcKw4AAOBWZSvcBAcH6/jx49q+fbtde69evfTuu+/mSGEAAADZka05N0uXLtWGDRtUpkwZu/Y6deooKCgoRwoDAADIjmyduTl79qx8fHwkSU5OTrb25ORkGWNypjIAAIBsyFa4qVatmlasWCHJPtxMnjxZtWvXzpnKAAAAsiFbl6Xef/99dejQQVu2bJEkjRs3TitXrtTmzZu1du3aHC0QAADgVmTrzE2zZs30yy+/KDIyUsWLF9ekSZOUP39+hYaGqn79+jldIwAAQJZl68yNJNWtW1c//PBDTtYCAABw227rIX4AAAD3miyfuSlVqlSWNxoVFZWNUgAAAG5flsMNL8QEAAD3gyyHmz59+tzJOgAAAHIEc24AAIClZPtuqT/++EP/+9//FB0drfT0dLt1M2fOvO3CAAAAsiNbZ25+/PFHPfbYY9qwYYNmzJihs2fPatWqVZo1a5ZOnjyZ0zUCAABkWbbO3LzzzjuaNWuWnn/+eTk5Oel///uf0tLSNHDgQGVmZuZ0jQAAAFmWrXBz4MABtWvX7soGnJ2VnJysBx54QO+//74efvjhHC0QAADgVmTrslRKSooKFCggSfL19dXhw4clSRkZGUpOTs656gAAAG5RticUX9W2bVu9+OKL6tq1q5YsWaIGDRrkRF0AAADZkq0zNz/99JPtz2PHjlWNGjUUEhKiBx98kDulAACAQ2XrzE2bNm1sfy5YsKCmT5+eYwUBAADcjtu+LGWM0Zo1a3T+/Hk1bNhQxYsXz4m6AAAAsuWWLksdPHhQPXr0sGvr0KGDmjdvrqCgIFWuXFl79uzJ0QIBAABuxS2Fm7Fjx6pFixa25bVr1+qHH37QokWLdPLkSbVo0UKjR4/O8SIBAACy6pbCza+//qomTZrYlleuXKmGDRuqU6dOKl68uEaPHq3w8PAcLxIAACCrbincxMXFqWDBgrbl8PBw1a9f37ZcokQJxcXF5Vx1AAAAt+iWwk3ZsmW1cuVKSVJsbKy2bt2qJ554wrY+MjJSpUuXztECAQAAbsUt3S3Vv39/9ezZUwsXLtTu3bvl7++vhg0b2tb/8ssvatWqVY4XCQAAkFW3dOZm4MCBmjhxohITE1WzZk0tX75cLi4utvV79+7VkCFDbqmAAwcOaPjw4erWrZvGjRunpKSkLI9duXKlOnXqpJCQkFvaJwAAsK5bfs5Nv3791K9fv+uuu9WnE+/cuVMNGjTQs88+qwYNGmjmzJlasGCBwsPD5erqetOxx48fV9++fZWamqqSJUve0n4BAIB1Zev1CzklODhYTzzxhObMmaN+/fpp5cqVOnjwoObMmXPTcZmZmeratauCg4Pl6+t7l6oFAAD3A4eFm9TUVK1du1adOnWytXl5ealp06ZasWLFTce+9957KliwoAYMGHCnywQAAPeZ2379QnZFR0crPT1d/v7+du3+/v4KDQ294bgNGzboyy+/1K5du7K8r9TUVKWmptqWExISbr1gAABwX3DomRtJyp8/v127u7u7UlJSrjsmLi5O3bp105dffikfH58s72vMmDHy9PS0ffz8/LJfOAAAuKc5LNx4enpKks6fP2/XHhcXp0KFCl13zHfffaeEhATNnj1bnTp1UqdOnRQVFaXly5erU6dOyszMvO644OBgxcfH2z4xMTE5eiwAAODe4bDLUiVLllThwoX122+/2T0b57ffflPVqlWvO6ZFixbXnLGJiIjQQw89pC5dusjJyem641xdXf/17isAAGANDgs3Tk5O6tq1q2bNmqX+/furUKFCCg0N1fbt2zV27Fhbv88//1yHDh3SxIkTVbZsWZUtW9ZuO++//77KlStnNzEZAADkXg4LN5L0wQcfaOfOnapUqZIqVaqkrVu36o033rB7OeeOHTt4GScAAMgyh4YbDw8Pbdq0Sdu3b9fp06f18MMPX/NuqgEDBigoKOiG2/j444/l7e19p0sFAAD3CYeGG+nK5alatWrdcP1jjz120/HNmjXL6ZIAAMB9zKFPKAYAAMhphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsAAGApzo4u4NKlS1q+fLlOnz6tKlWqqFGjRv865sCBAwoLC5Ozs7Pq1q2rcuXK3YVKAQDA/cChZ25OnjypRx55RB988IEiIiLUuXNndevW7Yb9jTFq27atOnbsqI0bN2r58uWqUqWKPvjgg7tYNQAAuJc59MzNa6+9poIFCyosLEyurq7au3evHnnkEXXq1EnPPPPMNf2NMerXr5/atGlja1u0aJGeffZZde7cWRUqVLiL1QMAgHuRw87cZGRkaMmSJerZs6dcXV0lSQ8//LDq16+vhQsXXndMnjx57IKNJNtlrCNHjtzZggEAwH3BYWduYmJidPHiRT300EN27RUrVtS2bduyvJ0lS5bI2dlZ1atXv2Gf1NRUpaam2pYTEhJuvWAAAHBfcNiZm8TERElSoUKF7NoLFSpkW/dv9uzZo5EjR+qNN96Qr6/vDfuNGTNGnp6eto+fn1+26wYAAPc2h4Wb/PnzS7r2LEp8fLwKFCjwr+P379+v5s2bKygoSP/9739v2jc4OFjx8fG2T0xMTLbrBgAA9zaHXZYKCAiQq6ur/vzzT7v2P//8U+XLl7/p2IMHD6pJkyZq3bq1vvjiCzk5Od20v6urq21eDwAAsDaHnblxdnZW69atNX/+fGVmZkqSoqKiFBoaqvbt29v6rVq1SiEhIbblQ4cOqXHjxmrZsqVmzpypPHl4DiEAAPg/Dr0V/KOPPtLjjz+u5s2bq1atWlqwYIEaN26sLl262PosXLhQ4eHh6tWrl5KTk9WkSRNlZGSoYsWKmjhxoq1fixYtVKVKFUccBgAAuIc4NNyULVtWe/fu1bfffqvTp0/rww8/VOfOnZU3b15bnxYtWqhSpUqSrjzn5mrwiY2NtdtWcnLy3SscAADcsxz++gVvb28NGTLkhus7d+5s+3P+/Pn18ccf342yAADAfYoJKwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFIINwAAwFLuiXATExOjHTt2KCEh4Y6OAQAA1ufQcJOSkqKOHTvqoYceUvfu3VW8eHF9+umnOT4GAADkHs6O3Pm7776rbdu26c8//5Svr6/+97//qX379qpVq5Zq166dY2MAAEDu4dAzN3PmzFGfPn3k6+srSXrmmWf08MMPa86cOTk6BgAA5B4OO3Nz4sQJnT59Wo899phde61atbRr164cGyNJqampSk1NtS3Hx8dL0h2Zr5OZeinHt4n7i6PngfEdBN9BONqd+g5e3a4x5qb9HBZuzp07J0ny8vKya/fy8rKty4kxkjRmzBi9++6717T7+fndUs1AVnhOcnQFyO34DsLR7vR3MDExUZ6enjdc77Bwky9fPklXJgj/XXJyslxcXHJsjCQFBwfrlVdesS1nZmbq3Llz8vLykpOTU7bqx/UlJCTIz89PMTEx8vDwcHQ5yIX4DsLR+A7eOcYYJSYm6sEHH7xpP4eFGz8/P+XJk0fHjx+3az9+/Lj8/f1zbIwkubq6ytXV1a6tUKFC2SscWeLh4cH/1HAovoNwNL6Dd8bNzthc5bAJxfnz59fjjz+uH3/80dZ28eJFrVmzRk8++aSt7ciRI7b5NFkdAwAAci8n82+zcu6g0NBQPfnkkxo+fLjq1q2rTz/9VJGRkdq9e7fc3d0lSX369FF4eLj27t2b5TFwnISEBHl6eio+Pp7fWOAQfAfhaHwHHc+ht4I3atRI69at019//aXJkyercuXK2rRpk11IKV++vB599NFbGgPHcXV11TvvvHPNZUDgbuE7CEfjO+h4Dj1zAwAAkNPuiXdLAQAA5BTCDQAAsBTCDQAAsBTCTS6RmZmpTZs2aceOHdesO3jwoA4cOOCAqoC7q06dOtq+fbujy4AFzZgxQwMHDnR0Gfj/HPpWcNw9ly5dUoMGDSRJW7duVa1atWzr3nnnHaWnp2vx4sWOKg+53Llz5zR9+nRt3rxZly5dUunSpdWtWzc1bdo0R/ezdetW27vlgKvmzZunadOm3bTPN998ozJlytxwfUxMjP7444+cLg3ZRLjJZYoXL65XX31V69evv2GfTZs2SZKcnZ0VEBBgewP7P507d05RUVEqW7as3N3dFRYWpurVq6tAgQK2PsnJyfrjjz+UP39+VaxY0e51F2FhYSpbtqx8fHzsthseHq5SpUqpePHiWa4F9699+/apWbNmCgwM1MCBA1W0aFFt3rxZzzzzjAYMGKCPPvrI0SXC4po2bary5cvblrt06aJ69epp8ODBtjb+7rm/EG5ymeDgYI0YMULLly9X69atr1mfkZGh119/XZKUlpamgwcPqnbt2vruu+/sXlkxbdo0DR8+XKVLl9bZs2fVrl07zZo1S7t27VK1atUkSfPnz9egQYPk4+Oj+Ph4FSpUSEuWLFHlypUlSe+9955KliypL7/80rbdffv2qW7dutq7d6+8vb2zVAvuX8YYBQUFqVy5clq1apXy5s0r6crzrGrUqKEWLVqoXr16ateunSRp3bp1+uKLLxQbG6vAwECNHDnS9uqVzp07KyYmRnny5FGJEiX09NNPq3v37jfd/9KlS/XJJ59o6tSp8vX1Vdu2bSVdeY9dmTJl1L9/f9WtW/cO/gRwL3jwwQft3lXk5uYmX19f1alTx9a2bds2TZkyRdHR0fL399fQoUNVs2bNG24zISFBffr0UdmyZZWamiovLy+9+eabdn3atm2rrl27qkuXLkpJSdHkyZO1Zs0aSVKzZs308ssv86yc7DLIFRITE40k89NPP5mXXnrJVKlSxWRkZBhjjAkKCjIdO3a84bgGDRqYESNG2NqOHDlinJ2dzfz5840xxqSkpJhmzZoZSWbXrl3GGGOioqKMq6urmTFjhjHGmLS0NNOhQwfz6KOPmszMTGOMMd9//70pWLCguXjxom3bw4YNM7Vq1cpyLbi/hYaGGklm1apV111ft25d07x5c2OMMTt37jRubm7m448/NuvWrTPTp083devWtfXdtWuXCQsLM5s3bzazZs0yDz74oBk/frzd9iSZ1atXG2OMmTlzpvHw8DArV640xhiTmppqwsLCTFhYmFm/fr354IMPjKurqwkPD78Th4572EMPPWSGDx9uW96+fbtxcXExw4YNM7/88ot5+eWXjYuLi9mxY4etz5tvvmkaNWpkjDHm9OnTpnr16qZdu3YmOTnZzJs3zxQpUsSkpKTY+oeGhpo8efKYmJgYY4wxHTp0MOXKlTMLFy40CxcuNGXKlDEdOnS4OwdsQYSbXOLv4SY2NtYULFjQzJkzxxhz/XATFxdndu7caTZu3GheeeUVU7NmTdu60aNHm0qVKtn1X79+vV24+eCDD0zZsmXt+hw4cMBIMjt37jTGGHP58mVTrFgxExISYlv29vY2n3/+eZZrwf1t8uTJRpI5c+bMddcPHDjQ+Pj4GGOMmT59uqlatard+kuXLt1w2wsWLDD+/v52bVfDzbhx40yRIkXMli1bblpf//79TY8ePbJyKLCQf4abli1bXhM02rVrZ1q2bGlbvhpuoqKiTPny5U2vXr1Menq6McaY5ORkU7hwYbNgwQJb/549e5qnnnrKGGPM1q1bjSSzZ88e2/pdu3YZSWbr1q135BitjstSuZC3t7dGjBiht99+W126dLFbl5aWpl69eun7779X+fLl5eHhoTNnziglJcXWJzIyUhUqVLAb98/lo0eP6qGHHrJrK1++vJydnfXnn3+qevXqypcvn3r27KnZs2erZ8+e+umnn5SUlKTnnnsuy7Xg/nb1v2XBggWvu97Dw8PWp379+ho6dKgGDBigjh07ql69enrggQdsfQ8fPqypU6fqwIEDSkhIUGJioo4dO6a0tDTly5fP1m/06NE6fPiwQkND9fDDD9vtb+3atZo7d66io6OVnJysEydOKCAgIKcPG/eZ7du368MPP7Rra9WqlUaNGmXXduzYMdWrV09BQUH6+OOPbXMM3dzc1LVrV82ePVtBQUFKTEzU4sWLNWfOHNv2H3zwQVWtWtW2rWrVqsnX11c7duywuwEEWcOt4LnU8OHDdfnyZU2ZMsWufc6cOQoNDVV0dLR+//13bd68WQMHDlRmZqatT8GCBZWUlGQ37p/LHh4e17SlpKQoPT3d7nX1ffr00caNG3XkyBHNnj1bnTp1sr1oLiu14P7m5+cn6Upgvp7IyEhbn4cffli7du2Su7u7XnvtNRUtWlTDhw+XJJ04cUJ16tTRxYsXNXjwYE2YMEGDBw9WZmamUlNT7baZmZmp9PT0a/b1888/q3Xr1qpYsaKCg4M1adIktWzZUsnJyTl5yLgPJSUlXfP+Qnd3dyUmJl7TNyMjQ2lpaXY3T0jSf/7zH61Zs0YxMTH67rvv5ObmZptLlpiYeN33I95oH/h3hJtcqkCBAnr77bc1ZswYnT9/3tYeGRmpypUr293B9PPPP9uNrVGjhrZt26aEhARb29VJcFfVrFlTO3bsUFxcnK1txYoVcnFxsfvtpHz58mrQoIE+/PBDrVy5Ur17976lWnB/a9asmdzc3DR37txr1p09e1YrVqzQ008/bWsLDAzU+PHjFRERoY0bN2rixInasGGD1q1bpwceeEAzZ85UmzZt9Pjjj8vZ+fonpt955x11795dTZo00b59+2ztS5YsUceOHRUcHKzmzZurTp06unTpUs4fNO47ZcqU0f79++3a9u/fr7Jly9q1lSxZUmvXrtXChQs1dOhQu3VVq1bVY489ppCQEM2ePVtdu3aVi4uLJKls2bKKjo7WxYsXbf2TkpIUExNzzT6QRY6+Loa74+9zbq5KS0sz5cuXN05OTrY5N6tWrTLOzs7mk08+MStWrDC9evUyrq6upkSJEnbjKlasaBo1amR++OEHM23aNFOsWDEjyezevdsYY0xGRoZ57LHHTO3atc2SJUvMl19+aby8vExwcPA1tc2bN89IMmXKlLFNNs5qLbj/jRkzxri5uZmlS5fa2uLi4kyrVq1MqVKlTFxcnDHmygT0jRs32vocPHjQODk5mS1btpjly5ebBx54wERFRRljjImJiTHlypUzkkxiYqJtjP42oXjYsGHGx8fH7N271xhjzMiRI82jjz5qm/QZGhpqXFxczGOPPXZHjx/3nn/OuZkwYYIpVqyYOXLkiDHGmMOHDxtvb28zceJEW5+/Tyj+448/TLFixczQoUPttjtjxgzj7e1t93elMcYkJSUZX19fu5slXnnlFePr62uSkpLuwBFaH+Eml7h06ZKpV6+e2bx5s137jz/+aOrVq2dGjRpla/vuu+9Mu3btzJNPPmlGjRplvv32W9O+fXu7cSdPnjQDBw40zZo1M/379zerV682ksyhQ4dsfc6fP2/eeust06xZM9O2bVszc+ZMu/Dy99ry5ctnRo8efc26rNSC+9/UqVONj4+P8ff3N9WqVTP58+c3rVu3tt1JYowxv/32m2nQoIHx8fExjzzyiHF3dzcjR440xlwJ0x07djT58+c3VapUMZ6enqZLly43DTfGGPPyyy8bHx8fs2/fPnPixAkTGBhovL29zUMPPWR8fX1Ny5YtCTe50D/DzeXLl03Pnj2Nm5ubqVSpknFzczO9evUyly9ftvX5e7gxxph9+/YZHx8f8/LLL9vaEhISTIECBa77nVq/fr0pUaKEKVmypClRooQpUaKEWb9+/Z05wFzAyRhjHHbaCPetlJQUubm52Za/+uorDRo0SOfPn7/h5YAb2bBhg5o2barIyEiVLFkyp0vFfSIzM1OHDx/WpUuXFBAQoCJFily3X2xsrE6fPq2AgADb/KyroqOjFRcXp3LlysnJyUl79+5VrVq1lCfPlSvw4eHhCgwMtBu3Y8cOeXh4qEKFCsrIyNDhw4eVnp6uihUrKjY2VufOnbtm4jGsbc+ePSpcuLDtGUpXxcbGKiYmRv7+/vL29rZbd+zYMSUkJCgwMNDWduLECUVHR+uRRx7RAw88oPT0dJUsWVJvv/32dV/VkJGRof3798vJyUkVK1a0PfcJt45wg2zp06ePKlSooEceeUT79u3T6NGjNWTIEL377rtZ3sa5c+e0a9cuBQcHKzAwUCEhIXeuYABwsHnz5mnw4MGKjo6+JpgjZxFukC3nzp3ThAkTtHPnTnl5ealdu3bq3LnzLW1j48aNevPNN1WpUiV99NFHdndRAYBVHD16VEFBQdq7d68mTZqkfv36ObokyyPcAABwByUnJ+u3335TyZIlVaJECUeXkysQbgAAgKXwnBsAAGAphBsAAGAphBsAAGAphBsAAGAphBsA95QLFy4oNDRUy5cv119//XXN+iVLlujYsWMOqAzA/YJwA+CeMWvWLAUEBGjkyJGaMWOGmjZtqpYtW+r48eO2Pr1791Z4eLgDqwRwr7u15+QDwB1y7Ngx9evXTzNmzNCLL75oa1+9erUSExMlScuXL1daWpo2b96s9PR0ubq6qn379pKunPEJCwtTenq66tSpc83j8RctWqR69erp8uXL2r17t8qWLasqVapIuvJY/W3btil//vx69NFHVahQobtz0ADuCMINgHvCgQMHlJGRoaZNm9q1P/nkk7Y/r169Wmlpadq+fbtOnjwpDw8PtW/fXsuWLdPzzz+vwMBAubi4KCIiQp999pl69uxpG9u9e3c1btxYBw4cUPXq1dWlSxdVqVJFEyZM0OjRo1W7dm1dvnxZv/32m0JCQtS2bdu7duwAcpij3tgJAH936tQpU6BAAdO2bVsTHh5u0tLSrtvP09PTLFq0yLackJBgfHx8zH//+19b29SpU02BAgXM8ePHbW2urq6mZs2a5uLFi7a2X3/91RQuXNjubfYLFiwwRYoUMfHx8Tl5eADuIubcALgnFCtWTMuXL1dsbKzq1q0rd3d3NWnSRPPnz7/puLVr1+rcuXMaOXKkra1///5yc3PTsmXL7Pr26dNH+fPnty2HhISoYsWK2rNnjxYtWqSFCxcqMzNTFy5c0J49e3L2AAHcNVyWAnDPaNSokcLDw3X27Flt27ZNixYtUrdu3XTy5EmNGDHiumP++usvFS9e3C605M2bV6VKlbrmbitfX1+75aioKMXFxWnx4sV27Z07d5aLi0sOHRWAu41wA+CeU7RoUbVq1UqtWrXShQsX9M0339ww3BQtWlTnz5+/pv3cuXMqWrSoXZuTk5PdsoeHh4oWLaoFCxbkXPEAHI7LUgDuCXFxcba7ov4uNTXV7u4ld3d3paSk2Jbr1Kmj1NRU/fLLL7a2iIgIRUZGql69ejfd51NPPaWVK1cqKirKrv3UqVPKzMzM3oEAcDjO3AC4J8TExKhdu3Zq1aqVqlSponz58mnVqlVavXq1li9fbutXo0YNzZgxQ8YYubu7q3379ho2bJiee+45vfbaa3JxcdH48ePVo0cP1apV66b77Nu3r3744QfVrVtXgwcPlre3t3bv3q3Vq1dr3759ypOH3/+A+5GTMcY4uggAkKSEhAR999132rNnjy5fvqxSpUrp+eefV6lSpWx9YmNj9dlnn+no0aNyc3PTF198IenKk4tXrlypjIwMNW7cWM8//7xdOOnRo4eGDRum6tWr2+0zIyNDixYt0vr162WMUfXq1dWjRw+7OTwA7i+EGwAAYCmccwUAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJZCuAEAAJby/wDUhrmzJZVlzAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.bar(df_store.index, df_store)  # 棒グラフを描画\n",
    "ax.set_title(\"Sales by store\")\n",
    "ax.set_xlabel(\"Store\")\n",
    "ax.set_ylabel(\"Sales (yen)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f97921bd",
   "metadata": {},
   "source": [
    "サブプロットの`bar()`メソッドには、横軸の項目（インデックスの店舗名）と、棒の高さ（売上金額の合計）を渡します。\n",
    "\n",
    "縦軸の左上の`1e6`は、目盛りの値に100万（10の6乗）を掛けることを表します。\n",
    "たとえば、Tokyoの棒は約1.0なので、約100万円です。\n",
    "\n",
    "グラフから、Tokyoの売上が最も多く、Nagoyaが最も少ないことが分かります。\n",
    "\n",
    "サブプロットの`barh()`メソッドを使うと、棒を横向きにした棒グラフを描画できます。\n",
    "項目の名前が長い場合や、項目が多い場合に便利です。\n",
    "横向きのため、横軸が売上金額、縦軸が店舗になります。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "523d76f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.barh(df_store.index, df_store)  # 横向きの棒グラフを描画\n",
    "ax.set_title(\"Sales by store\")\n",
    "ax.set_xlabel(\"Sales (yen)\")\n",
    "ax.set_ylabel(\"Store\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b030bc30",
   "metadata": {},
   "source": [
    "## 散布図で関係を見る\n",
    "\n",
    "**散布図**は、2つの値を横軸と縦軸にとって点で表したグラフで、2つの値の関係を見るために使います。\n",
    "{ref}`visualization`のアンスコムの例で見たグラフです。\n",
    "ここでは、コーヒーとケーキの数量の関係を見ます。\n",
    "\n",
    "第5章と同じく条件を指定して、コーヒーの行とケーキの行をそれぞれ抽出します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "45ffb8e4",
   "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>date</th>\n",
       "      <th>store</th>\n",
       "      <th>item</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>38</td>\n",
       "      <td>400</td>\n",
       "      <td>15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>35</td>\n",
       "      <td>400</td>\n",
       "      <td>14000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Nagoya</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>19</td>\n",
       "      <td>400</td>\n",
       "      <td>7600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2026-04-02</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>38</td>\n",
       "      <td>400</td>\n",
       "      <td>15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2026-04-02</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>コーヒー</td>\n",
       "      <td>30</td>\n",
       "      <td>400</td>\n",
       "      <td>12000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   store  item  quantity  price  amount\n",
       "0  2026-04-01   Tokyo  コーヒー        38    400   15200\n",
       "3  2026-04-01   Osaka  コーヒー        35    400   14000\n",
       "6  2026-04-01  Nagoya  コーヒー        19    400    7600\n",
       "9  2026-04-02   Tokyo  コーヒー        38    400   15200\n",
       "12 2026-04-02   Osaka  コーヒー        30    400   12000"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# コーヒーの行を抽出\n",
    "df_coffee = df[df[\"item\"] == \"コーヒー\"]\n",
    "df_coffee.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5d14faf5",
   "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>date</th>\n",
       "      <th>store</th>\n",
       "      <th>item</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>19</td>\n",
       "      <td>500</td>\n",
       "      <td>9500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>16</td>\n",
       "      <td>500</td>\n",
       "      <td>8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2026-04-01</td>\n",
       "      <td>Nagoya</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>13</td>\n",
       "      <td>500</td>\n",
       "      <td>6500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2026-04-02</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>14</td>\n",
       "      <td>500</td>\n",
       "      <td>7000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2026-04-02</td>\n",
       "      <td>Osaka</td>\n",
       "      <td>ケーキ</td>\n",
       "      <td>14</td>\n",
       "      <td>500</td>\n",
       "      <td>7000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   store item  quantity  price  amount\n",
       "2  2026-04-01   Tokyo  ケーキ        19    500    9500\n",
       "5  2026-04-01   Osaka  ケーキ        16    500    8000\n",
       "8  2026-04-01  Nagoya  ケーキ        13    500    6500\n",
       "11 2026-04-02   Tokyo  ケーキ        14    500    7000\n",
       "14 2026-04-02   Osaka  ケーキ        14    500    7000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ケーキの行を抽出\n",
    "df_cake = df[df[\"item\"] == \"ケーキ\"]\n",
    "df_cake.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbff2c9a",
   "metadata": {},
   "source": [
    "2つの表を見比べると、どちらも行が同じ日・同じ店舗の順に並んでいることが分かります。\n",
    "そのため、2つの表の`quantity`列を同じ順で組にすると、同じ日・同じ店舗のコーヒーとケーキの数量の組になります。\n",
    "\n",
    "コーヒーの数量を横軸、ケーキの数量を縦軸にして、散布図を描画します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "de1c1480",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(df_coffee[\"quantity\"], df_cake[\"quantity\"])  # 散布図を描画\n",
    "ax.set_title(\"Coffee and cake\")\n",
    "ax.set_xlabel(\"Coffee (quantity)\")\n",
    "ax.set_ylabel(\"Cake (quantity)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a3016b7",
   "metadata": {},
   "source": [
    "サブプロットの`scatter()`メソッドには、横軸の値と縦軸の値を渡します。\n",
    "同じ順に並んだ値の組が、1つの点になります。\n",
    "\n",
    "一方の値が多いともう一方の値も多い（または少ない）という、2つの値の関係を**相関**といいます。\n",
    "\n",
    "グラフから、点が右上がりに並んでいて、コーヒーが多い日・店舗はケーキも多い傾向（相関）があることが分かります。\n",
    "また、ほかの点から離れた0の点が2つあります。\n",
    "横軸が0の点は4月8日の名古屋店のコーヒー、縦軸が0の点は4月3日の大阪店のケーキです。\n",
    "どちらも第5章で欠損値を0にした行で、外れ値です。\n",
    "\n",
    "## ヒストグラムで分布を見る\n",
    "\n",
    "**ヒストグラム**は、値をいくつかの範囲に区切り、範囲ごとの個数を棒の高さで表したグラフです。\n",
    "値の分布（どの値がどれだけあるか）を見るために使います。\n",
    "区切った範囲を**ビン**といいます。\n",
    "ここでは、コーヒーの数量の分布を見ます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e1875c68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkAAAAHGCAYAAACcmzRuAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvgI3uAAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAOu5JREFUeJzt3X9cVHXe//8nODho/CrQMQ1BNFvXDX//JNy2jVWrS9M0FdYk01pzs7q2FPJSt73c1a6uym2tpPyxuVl5+ZP8VWpaOlEKSmWFCakpooAiDGICwvn+0df5NAsoGDCD53G/3c7t1rzP633mNXOKeXbOmTNehmEYAgAAMBFvdzcAAADQ2AhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdCzubgDAtaWiokLbt2/Xd999p4sXL2ratGmSpIKCAu3cuVMnTpxQeHi4hg0b5uZOm5b169frhx9+0Lhx49zdCnBNIAABJnfs2DHt2bNHp0+fVnBwsMLDw9W7d295e9f9AHFFRYUGDRqk3NxcDR48WL6+vpKkw4cPq3///urSpYu6d++uFi1a1PfLuCasXr1aFRUVGjNmTJV1ixYt0unTp10C0OXqAVweAQgwqWPHjukPf/iDPvzwQ/36179Wx44dVVhYqO3bt6tly5aaN2+eYmNj67TN999/XykpKdq3b5969uzpHP/HP/4hb29v7dy586qClVksXLhQFy5cqDbQjBgxQiUlJbWuB3B5BCDAhI4fP66+ffvKZrPp4MGD6tChg3NdaWmp5syZo23bttU5AB06dEiSFB4eXmW8ffv2hJ+f4ZFHHnF3C8A1hQAEmNAf//hHFRYW6rPPPqsSVqxWq+bPn6+DBw+6jFdWVsputysjI0PNmzd3ntK65LXXXtP27dslSUlJSS6nub799ltdvHhRCxYskCQNHz7cJXR99dVXSk1NVVlZmX71q18pKiqq2r5rW/fvLly4oK1bt+rkyZOKjIzUgAEDnNcp/TRYLFmyRDfddJMGDx7sMn/r1q36/vvvNXnyZJexb775RpLk7e2tG264QQMGDFDHjh1d5q5cuVLNmjXTqFGjdPDgQe3evVv+/v4aOnSoAgMDnXVLly5Vdna2y/tktVo1ZcoUSVWvAbpc/dq1a3X27Fk99NBDVd6LvXv3KiUlRRMnTlRAQECt3j/gWkQAAkwmLy9PGzZs0MiRI6uEn5/6xS9+4fzn7OxsDR8+XEePHtWQIUNUXFysRx55ROPGjdPixYvl4+OjY8eO6ezZs5J+PL1mtVqd8y9cuKCKigodPXpUkvTDDz9IkhwOh37/+99r+/btGjJkiPz9/TV79mx17dpV69atcwaE2tZV5/Dhwxo8eLDOnTunmJgYrV27VjfddJO8vLy0fv16lwA0Z84c3X777VUC0Ntvv63333/fJQCdPn3a+XrKy8uVmZmp+Ph4Pf3005o3b56z7qWXXpKvr69ycnK0atUq3Xzzzfrwww/15JNPKiUlxRkEs7Ozq7xPPw2R/34N0OXqjx07pieffFJ9+vRRZGSky2t5/PHHdebMGT3xxBM1vmeAKRgATGXTpk2GJGP+/Pm1nhMVFWW0adPG+P7776tsZ/bs2c6x//7v/zYkGWfPnnWZ/+tf/9ro169fle2OGDHCCAoKMg4ePOgcO3XqlNGuXTvjgQceqHNddfr162eEh4cbp06dco4lJSUZN954oxEcHOxS265dOyMuLq7KNiZMmGDYbLbLPo9hGMbatWsNScYnn3zi8vxt2rQxnn32WedYfn6+ERQUZMTHx7vMr+l9MgzDGDx4sNGrV69a1Z89e9Zo2bKl8cgjj7iMp6en13nfA9cqTsgDJnPpKE1QUFCt6r/88kt98skneuyxx9S+fXvn+F133aU777xTr776qgzDqHMfWVlZWrdunZ544gndcsstznGbzaZHH31Ub7/9ts6dO1frupp637Nnj5544gnZbDbn+OTJk3XdddfVued/V1BQoHXr1unVV1/VggULdOTIEUnSJ5984lL3ww8/aPr06c7HISEhGjp0qD766KOf3UN1goKCFBsbqxUrVsjhcDjHX331VVksFj3wwAMN8rxAU8IpMMBk/P39JUnFxcW1qv/6668lST169KiyrkePHtq+fbtyc3PVpk2bOvWxb98+SVJOTo4WLlwowzCcQerQoUO6ePGivvvuO+e1SFeq69atW5Xn+OqrrySpyjovLy9FRkbq448/rlPPP7Vo0SI9+eST+uUvf6nu3bvLz89PXl5e8vLyUl5enkttp06dnLcEuKRt27Y6ceLEVT//lUydOlWLFy/Wv/71L02dOlVFRUV6++23ddddd+nGG29ssOcFmgoCEGAy3bt3lyR98cUXtaqvqKiQJFksVf9cXBq7VFMX5eXlkqQzZ84oKyvLZV1QUJAef/xxBQUF1bquOpWVlZKkZs2a1dj7TzVr1sw556cuXbN0SXZ2th577DE9+uij+vvf/+4cP3v2rP7+979XOSLm5+dX7fNfem0NoXv37howYIBee+01TZ06VW+++aZKSkqqvTAaMCMCEGAy7du316BBg5ScnKwzZ84oODi42rpTp06pTZs2uvnmmyVJGRkZiomJcan55ptv5O/vX+ejP5L0y1/+UpL029/+1vlNp+qcOXOmVnXVudT7wYMHFR0d7bIuIyOjSn3btm2rHL25NP+nDhw4oIsXL1a5m3V6enqd+vt3db1NwJXqH330UY0fP14ff/yxFi1apDZt2uiuu+76OS0C1wyuAQJMaOHChaqsrNTYsWNdrhG5JCkpSbNmzZIk9enTR126dNHChQtdaj///HNt3LhR48ePr/YIy5X07NlTUVFReu6553T69Okq69PS0upUV50+ffrolltu0cKFC12O4mzatEnHjh2rUt+vXz+lpKS4PE91tZe+PXfgwAHnWGlpqV566SV5eXnV2M+VtG7d2hn46qN+9OjRatWqlR555BFlZGRowoQJ1R75AsyI/xIAE7r11lv18ccf64EHHlDHjh113333KSIiQoWFhdq0aZOysrKcX+X29vbWu+++qyFDhqh37966//77VVxcrH/+858aMGCA5s+ff9V9rFq1Svfee686d+6ssWPHKjQ0VCdOnJDdbtctt9yilStX1qnu33l7e+utt97S7373O/Xt21cjR45Ubm6usrOzNXLkSL333nsu9U899ZRWrFihQYMGacyYMcrOztYPP/ygYcOG6YMPPnDWdenSRb///e+VmJiorKws3XDDDdq0aZOeeuopbdmy5arfjxEjRmjlypV65JFH9Itf/EK+vr6XPep1pXqr1apJkyY59+XEiROvujfgWkMAAkyqV69e+uqrr7R79259+umnzt8CmzlzpgYPHuxyb53IyEgdOnRIa9asUUZGhgIDA/XOO+9o6NChLkc8+vXrp8cff9zlHkCSNGrUKF28eLFKDzfeeKM+++wz7dy5UykpKSoqKlLXrl01ZcoUde3atc511endu7cOHjyot99+W6dOnVJ0dLTuv//+aoPFTTfdpAMHDmjFihXKz8/X4MGDNXLkSL377rsKCwtzqf3Xv/6l0aNHKzU1Vb6+vvrXv/6lX/7yl0pLS9OgQYOcdWPHjq32qMttt92mCxcuuIyNGTNGISEh2rVrl44dO+Zy4XR1P4VxufpL4uLiNG/ePEVHR6tz586Xfa8AM/Eyrub7qwDQxE2aNEnr16+v9rTatWTJkiWaNGmS/vnPf2rChAnubgfwGFwDBADXsLfeekshISEaPXq0u1sBPAqnwADgGvTyyy/r888/10cffaTXX39dLVu2dHdLgEchAAEwpZiYmKv6+n5T8f3338tms+n999+v8ttmALgGCAAAmBDXAAEAANMhAAEAANPhGqBqVFZWKicnR/7+/j/rrq4AAKDxGIah4uJitW3b9oo/FUMAqkZOTo5CQ0Pd3QYAALgKx48f10033XTZGgJQNfz9/SX9+AYGBAS4uRsAAFAbDodDoaGhzs/xyyEAVePSaa+AgAACEAAATUxtLl/hImgAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6bg9AhYWFSk9P1+nTp2usKS8vV3p6ujIyMmq93auZAwAAzMFtASgjI0P33HOPIiIiNHHiRIWHh2vEiBFyOBwudTt37lRoaKhGjhyp6OhodevWTd9///1lt301cwAAgHm4LQBlZmZqypQpKigoUHp6ur777jt9+eWXeuqpp5w1DodDo0eP1oQJE3TkyBGdPHlSwcHBGj9+fI3bvZo5AADAXNwWgIYNG6a7777b+dhms2nkyJGy2+3OseTkZDkcDiUmJkqSfHx8NGPGDO3evVtZWVnVbvdq5gAAAHNx+zVAP5WWlqZOnTo5H6enpysiIkJBQUHOsb59+zrXVedq5pSWlsrhcLgsAADg2mVxdwOXLFq0SHa7Xbt27XKOFRQUKDg42KUuKChI3t7eKigoqHY7VzNn3rx5evbZZ3/mKwCAhhOesMndLdTZ0fl3X7kIcBOPOAK0Zs0aTZs2TUlJSRowYIBz3MfHRxcuXHCpLSsrU2VlpZo3b17ttq5mTmJiooqKipzL8ePHf+YrAgAAnsztAWjdunWKjY3VwoULNXHiRJd1YWFhOnHihMvYpcft27evdntXM8dqtSogIMBlAQAA1y63BqDk5GSNHTtWL7/8sh5++OEq62NiYpSbm6u9e/e6zPHz83MeKaqoqJDdbldeXl6t5wAAAHNz2zVA27dv1/3336/Y2Fh17drV+e0vi8Wi/v37S5L69eunESNGKC4uTnPnzlVBQYFmzZqlOXPmqGXLlpKk4uJiRUdHa9myZYqPj6/VHAAAYG5uC0BZWVnq06ePMjMzlZCQ4Bz39/fXli1bnI/feecdLViwQEuXLpXValVSUpLi4uKc6y0Wi6KiomSz2Wo9BwAAmJuXYRiGu5vwNA6HQ4GBgSoqKuJ6IAAegW+BAVdWl89vt18EDQAA0NgIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHQIQAAAwHTc9mOoAIBrG79fBk/GESAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6BCAAAGA6Fnc3YBiG9u/fL4vFom7durmsO3XqlLKysqqd16tXL7Vo0aLKeGVlpVJSUqqMd+7cWa1bt66fpgEAQJPmtgBkGIZefPFFJSUlKT8/Xx07dlRaWppLzZ49e/T888+7jB05ckS5ubk6efJktQHo/Pnzio6OVmRkpPz9/Z3jM2fO1NChQxvmxQAAgCbFbQGovLxcOTk52rhxo1599VXZ7fYqNcOHD9fw4cNdxnr16qVevXqpVatWl91+UlKS+vfvX689AwCAa4PbrgFq3ry5XnjhBXXu3LnWcz7//HPt379fkydPvmJtdna29u3bp8LCwp/RJQAAuBY1qYuglyxZorZt2+quu+66Yu2UKVMUHx8vm82mMWPGXDYIlZaWyuFwuCwAAODa1WQCUGlpqVasWKGJEyeqWbNmNdZZLBYtX75c+fn5OnDggDIyMpSamqqpU6fWOGfevHkKDAx0LqGhoQ3xEgAAgIdoMgFo7dq1Kiws1EMPPXTZOl9fX40fP975OCIiQtOnT9fq1at18eLFauckJiaqqKjIuRw/frxeewcAAJ7F7V+Dr60lS5YoJiZG4eHhdZ5rs9lUVlam06dPq02bNlXWW61WWa3WeugSAAA0BU3iCNCRI0e0Y8eOai9+rqiokN1uV15eniSppKSkSs3WrVvVqlUr7gMEAAAkufkIUHp6ukpKSpSTk6Nz5845vwo/cOBAeXv/v2y2dOlShYSEVPlKvCQVFxcrOjpay5YtU3x8vJYsWaKUlBQNGzZMQUFB2rx5sxYvXqw33njDZZsAAMC83BqAXnrpJR0+fFiSFBISooSEBEnStm3bXG5ymJWVpRkzZsjHx6fKNiwWi6KiomSz2SRJ06ZNU4cOHbRq1Srl5+crIiJCaWlpVe4yDQAAzMvLMAzD3U14GofDocDAQBUVFSkgIMDd7QCAwhM2ubsFUzg6/253t4CfoS6f35wTAgAApkMAAgAAptNkvgYPAPWF00kAOAIEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMx+LuBgAA8BThCZvc3cJVOTr/bne30ORwBAgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJgOAQgAAJiO238LzDAM7d+/XxaLRd26dXNZV1lZqZSUlCpzOnfurNatW192u+Xl5frqq6/k6+urLl261GvPAACgaXNbADIMQy+++KKSkpKUn5+vjh07Ki0tzaXm/Pnzio6OVmRkpPz9/Z3jM2fO1NChQ2vc9s6dOzVu3Di1aNFCxcXFateund577z2FhYU12OsBAABNh9tOgZWXlysnJ0cbN27UhAkTLlublJQku93uXC4XfhwOh0aPHq0JEyboyJEjOnnypIKDgzV+/Pj6fgkAAKCJclsAat68uV544QV17tz5irXZ2dnat2+fCgsLr1ibnJwsh8OhxMRESZKPj49mzJih3bt3Kysr6+e2DQAArgFN4iLoKVOmKD4+XjabTWPGjLlsEEpPT1dERISCgoKcY3379nWuq05paakcDofLAgAArl0eHYAsFouWL1+u/Px8HThwQBkZGUpNTdXUqVNrnFNQUKDg4GCXsaCgIHl7e6ugoKDaOfPmzVNgYKBzCQ0NrdfXAQAAPItHByBfX1+Xa3ciIiI0ffp0rV69WhcvXqx2jo+Pjy5cuOAyVlZWpsrKSjVv3rzaOYmJiSoqKnIux48fr78XAQAAPI5HB6Dq2Gw2lZWV6fTp09WuDwsL04kTJ1zGLj1u3759tXOsVqsCAgJcFgAAcO3y6ABUUlJSZWzr1q1q1aqV8z5AFRUVstvtysvLkyTFxMQoNzdXe/fudc5JTk6Wn5+fBgwY0DiNAwAAj+bWGyGmp6erpKREOTk5OnfunOx2uyRp4MCB8vb21pIlS5SSkqJhw4YpKChImzdv1uLFi/XGG2/I2/vH7FZcXKzo6GgtW7ZM8fHx6tevn0aMGKG4uDjNnTtXBQUFmjVrlubMmaOWLVu68+UCAAAP4dYA9NJLL+nw4cOSpJCQECUkJEiStm3bphYtWmjatGnq0KGDVq1apfz8fEVERCgtLc3ljtEWi0VRUVGy2WzOsXfeeUcLFizQ0qVLZbValZSUpLi4uMZ9cQAAwGN5GYZhuLsJT+NwOBQYGKiioiKuBwKuQeEJm9zdAlCvjs6/290teIS6fH579DVAAAAADYEABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATMfi7gYMw9D+/ftlsVjUrVu3amsKCwt15MgRhYaGKiQk5LLbq6ysVEpKSpXxzp07q3Xr1vXSMwAAaNrcFoAMw9CLL76opKQk5efnq2PHjkpLS3OpycjI0NNPP62UlBSFhYUpMzNTMTExevPNNxUQEFDtds+fP6/o6GhFRkbK39/fOT5z5kwNHTq0QV8TAABoGtwWgMrLy5WTk6ONGzfq1Vdfld1ur1KTmZmpKVOmaOPGjZKk3NxcDRw4UE899ZRef/31y24/KSlJ/fv3b5DeAQBA0+a2ANS8eXO98MILl60ZNmyYy2ObzaaRI0dq06ZNV9x+dna29u3bp44dOyooKOjntAoAAK4xTe4i6LS0NHXq1OmKdVOmTFF8fLxsNpvGjBmjwsLCGmtLS0vlcDhcFgAAcO1qUgFo0aJFstvtSkxMrLHGYrFo+fLlys/P14EDB5SRkaHU1FRNnTq1xjnz5s1TYGCgcwkNDW2I9gEAgIdoMgFozZo1mjZtmpKSkjRgwIAa63x9fTV+/Hjn44iICE2fPl2rV6/WxYsXq52TmJiooqIi53L8+PF67x8AAHgOt38NvjbWrVun2NhYLVy4UBMnTqzzfJvNprKyMp0+fVpt2rSpst5qtcpqtdZHqwAAoAnw+CNAycnJGjt2rF5++WU9/PDDVdZXVFTIbrcrLy9PklRSUlKlZuvWrWrVqhX3AQIAAJLcfAQoPT1dJSUlysnJ0blz55xfhR84cKC8vb21fft23X///YqNjVXXrl2d6y0Wi/Mr7sXFxYqOjtayZcsUHx+vJUuWKCUlRcOGDVNQUJA2b96sxYsX64033pC3t8fnPQAA0AjcGoBeeuklHT58WJIUEhKihIQESdK2bdvUokULZWVlqU+fPsrMzHSukyR/f39t2bJF0o9hKCoqSjabTZI0bdo0dejQQatWrVJ+fr4iIiKUlpZW412mAQCA+XgZhmG4uwlP43A4FBgYqKKiohrvOA2g6QpPuPK9xICm5Oj8u93dgkeoy+c354QAAIDpEIAAAIDpEIAAAIDpEIAAAIDpEIAAAIDpEIAAAIDpEIAAAIDp1DkApaWl6eOPP67zOgAAAE9R5wD00UcfacOGDTWu27hx489uCgAAoCHV6ymw7777TsHBwfW5SQAAgHpX698CW7JkiebNm6fCwkJVVFRo/fr1LutLSkp05swZpaam1nePAAAA9arWAah379566qmntH37dhUVFem+++5zWR8QEKCBAwcqPDy8vnsEAACoV7UOQN26dVO3bt10xx13qLS0VLfeemtD9gUAANBgah2ALuncuXND9AEAANBoruoi6DfffFNdu3ZVy5YtZbFYXJYZM2bUd48AAAD1qs5HgNLT0/Xwww/rmWeeUc+ePeXj4+OyvkOHDvXWHAAAQEOocwDas2ePRo8erTlz5jREPwAAAA2uzqfAbrzxRnl78wsaAACg6apzkrnjjju0f/9+ffbZZw3RDwAAQIOr8ymwNWvWKC8vTwMHDlRoaKj8/f1d1j/44IP605/+VG8NAgAA1Lc6B6DIyEg988wzNa7v1avXz2oIAADUTXjCJne3UGdH59/t1uevcwDq2bOnevbs2RC9AAAANAquZgYAAKZT5wD02muvqU2bNjUuf/nLXxqiTwAAgHpT51Ngt99+e5ULn0tKSrRhwwYdOnRI99xzT701BwAA0BDqHIC6dOmiLl26VBl/5JFH9Nvf/lZnz56tl8YAAAAaSr1eAzRo0CDuDwQAADxevQWgsrIyffTRR/Lz86uvTQIAADSIOp8CW7lypV577TWXsYqKCh06dEjNmjXTuHHj6q05AACAhlDnAHTTTTfptttuc92IxaIHH3xQ9913nwIDA+utOQAAgIZQ5wAUFRWlqKiohugFAACgUfzsa4AcDkd99AEAANBorioAHT9+XHFxcQoICFBgYKD8/Pw0fPhwHTp0qM7bMgxD+/bt0xdffFFjTXl5udLT05WRkVHr7V7NHAAAYA51PgV2/vx5DRo0SDabTS+//LJCQ0N16tQpLVu2TFFRUfrmm2/UqlWrK27HMAy9+OKLSkpKUn5+vjp27Ki0tLQqdTt37tS4cePUokULFRcXq127dnrvvfcUFhZW47avZg4AADCPOh8B2rRpkwICArRr1y7Fx8frt7/9reLi4rRt2zZFRkZq5cqVtdpOeXm5cnJytHHjRk2YMKHaGofDodGjR2vChAk6cuSITp48qeDgYI0fP77G7V7NHAAAYC51DkAnT55Uv3791Lx5c5dxLy8vDRw4UDk5ObXaTvPmzfXCCy+oc+fONdYkJyfL4XAoMTFRkuTj46MZM2Zo9+7dysrKqrc5AADAXOocgDp27KgPP/ywysXPFy5c0KZNm9SxY8d6ay49PV0REREKCgpyjvXt29e5rr7mlJaWyuFwuCwAAODaVedrgIYMGaKQkBDdeuutiouLU7t27ZSbm6t3331Xkur1RogFBQUKDg52GQsKCpK3t7cKCgrqbc68efP07LPP1k/TAADA49X5CFCzZs20Y8cOPfTQQ9q2bZvmzp2rjRs3asSIEdq7d69atmxZb835+PjowoULLmNlZWWqrKyscgru58xJTExUUVGRczl+/Hj9vAAAAOCR6nwESJKuu+46zZ49W7Nnz67vflyEhYVpw4YNLmMnTpyQJLVv377e5litVlmt1p/bLgAAaCLqdATom2++UWZmZrXrjh07VuM1NlcrJiZGubm52rt3r3MsOTlZfn5+GjBggKQff4fMbrcrLy+v1nMAAIC51ToAVVZW6v7775dhGNWu9/X11ahRo/TDDz/U+snT09Nlt9uVk5Ojc+fOyW63y263q7KyUpLUr18/jRgxQnFxcc4fYZ01a5Zmz57tPNVWXFys6Ohobd68udZzAACAudX6FFhKSopCQkJq/Np669at1bt3b23atEmjRo2q1TZfeuklHT58WJIUEhKihIQESdK2bdvUokULSdI777yjBQsWaOnSpbJarUpKSlJcXNz/ewEWi6KiomSz2ZxjV5oDAADMzcuo6ZDOv1m8eLFSU1OVlJRUY83s2bNltVo1c+bMemvQHRwOhwIDA1VUVKSAgAB3twOgnoUnbHJ3C4DpHZ1/d71vsy6f37U+BVZeXu48NVWTyspKlZeX13aTAAAAblHrANSlSxft2LFDFRUVNdZs27ZNXbp0qZfGAAAAGkqtA9Btt90mSZoyZYrOnTvnsq60tFSJiYk6fPiw7r67/g9pAQAA1KdaXwRtsVi0YsUKDR48WOvXr1dUVJTatWunU6dO6bPPPlNBQYHWrVsnPz+/huwXAADgZ6vTfYD69++vL774QmPGjFFWVpbWrFmjr7/+WkOHDtX+/fs1ePDghuoTAACg3tT5TtDh4eH6xz/+0RC9AAAANIo6/xYYAABAU0cAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApkMAAgAApmNxdwOXc+rUKWVlZVW7rlevXmrRokWV8crKSqWkpFQZ79y5s1q3bl3vPQIAgKbHowPQnj179Pzzz7uMHTlyRLm5uTp58mS1Aej8+fOKjo5WZGSk/P39neMzZ87U0KFDG7xnAADg+Tw6AA0fPlzDhw93GevVq5d69eqlVq1aXXZuUlKS+vfv35DtAQCAJqpJXQP0+eefa//+/Zo8efIVa7Ozs7Vv3z4VFhY2fGMAAKBJaVIBaMmSJWrbtq3uuuuuK9ZOmTJF8fHxstlsGjNmzGWDUGlpqRwOh8sCAACuXU0mAJWWlmrFihWaOHGimjVrVmOdxWLR8uXLlZ+frwMHDigjI0OpqamaOnVqjXPmzZunwMBA5xIaGtoQLwEAAHiIJhOA1q5dq8LCQj300EOXrfP19dX48eOdjyMiIjR9+nStXr1aFy9erHZOYmKiioqKnMvx48frtXcAAOBZPPoi6J9asmSJYmJiFB4eXue5NptNZWVlOn36tNq0aVNlvdVqldVqrYcuAQBAU9AkjgAdOXJEO3bsqPbi54qKCtntduXl5UmSSkpKqtRs3bpVrVq14j5AAABAUhM5ArR06VKFhIRU+Uq8JBUXFys6OlrLli1TfHy8lixZopSUFA0bNkxBQUHavHmzFi9erDfeeEPe3k0i7wEAgAbWJAJQVlaWZsyYIR8fnyrrLBaLoqKiZLPZJEnTpk1Thw4dtGrVKuXn5ysiIkJpaWnq1q1bY7cNAAA8lJdhGIa7m/A0DodDgYGBKioqUkBAgLvbAVDPwhM2ubsFwPSOzr+73rdZl89vzgkBAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTIQABAADTsbi7AQBNW3jCJne3AAB1xhEgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOgQgAABgOh79W2CVlZVKSUmpMt65c2e1bt36snPLy8v11VdfydfXV126dGmoFgEAQBPk0QHo/Pnzio6OVmRkpPz9/Z3jM2fO1NChQ2uct3PnTo0bN04tWrRQcXGx2rVrp/fee09hYWGN0TYAAPBwHh2ALklKSlL//v1rVetwODR69Gg99NBDeu6551ReXq7Bgwdr/Pjx2rVrVwN3CgAAmoImcQ1Qdna29u3bp8LCwivWJicny+FwKDExUZLk4+OjGTNmaPfu3crKymrgTgEAQFPQJALQlClTFB8fL5vNpjFjxlw2CKWnpysiIkJBQUHOsb59+zrXVae0tFQOh8NlAQAA1y6PDkAWi0XLly9Xfn6+Dhw4oIyMDKWmpmrq1Kk1zikoKFBwcLDLWFBQkLy9vVVQUFDtnHnz5ikwMNC5hIaG1uvrAAAAnsWjA5Cvr6/Gjx/vfBwREaHp06dr9erVunjxYrVzfHx8dOHCBZexsrIyVVZWqnnz5tXOSUxMVFFRkXM5fvx4/b0IAADgcTw6AFXHZrOprKxMp0+frnZ9WFiYTpw44TJ26XH79u2rnWO1WhUQEOCyAACAa5dHB6CSkpIqY1u3blWrVq2c9wGqqKiQ3W5XXl6eJCkmJka5ubnau3evc05ycrL8/Pw0YMCAxmkcAAB4NI/+GvySJUuUkpKiYcOGKSgoSJs3b9bixYv1xhtvyNv7x+xWXFys6OhoLVu2TPHx8erXr59GjBihuLg4zZ07VwUFBZo1a5bmzJmjli1buvkVAQAAT+DRAWjatGnq0KGDVq1apfz8fEVERCgtLU3dunVz1lgsFkVFRclmsznH3nnnHS1YsEBLly6V1WpVUlKS4uLi3PESAACAB/IyDMNwdxOexuFwKDAwUEVFRVwPBFxBeMImd7cAoAk6Ov/uet9mXT6/PfoaIAAAgIZAAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZjcXcDtVFYWKgjR44oNDRUISEhl62trKxUSkpKlfHOnTurdevWDdUiAABoQjw6AGVkZOjpp59WSkqKwsLClJmZqZiYGL355psKCAiods758+cVHR2tyMhI+fv7O8dnzpypoUOHNlbrAADAg3l0AMrMzNSUKVO0ceNGSVJubq4GDhyop556Sq+//vpl5yYlJal///6N0SYAAGhiPDoADRs2zOWxzWbTyJEjtWnTpivOzc7O1r59+9SxY0cFBQU1UIcAAKApanIXQaelpalTp05XrJsyZYri4+Nls9k0ZswYFRYW1lhbWloqh8PhsgAAgGtXkwpAixYtkt1uV2JiYo01FotFy5cvV35+vg4cOKCMjAylpqZq6tSpNc6ZN2+eAgMDnUtoaGhDtA8AADxEkwlAa9as0bRp05SUlKQBAwbUWOfr66vx48c7H0dERGj69OlavXq1Ll68WO2cxMREFRUVOZfjx4/Xe/8AAMBzePQ1QJesW7dOsbGxWrhwoSZOnFjn+TabTWVlZTp9+rTatGlTZb3VapXVaq2PVgEAQBPg8UeAkpOTNXbsWL388st6+OGHq6yvqKiQ3W5XXl6eJKmkpKRKzdatW9WqVSvuAwQAACR5+BGg7du36/7771dsbKy6du0qu90u6cfrfC59xb24uFjR0dFatmyZ4uPjtWTJEqWkpGjYsGEKCgrS5s2btXjxYr3xxhvy9vb4vAcAABqBRwegrKws9enTR5mZmUpISHCO+/v7a8uWLZJ+DENRUVGy2WySpGnTpqlDhw5atWqV8vPzFRERobS0NHXr1s0trwEAAHgeL8MwDHc34WkcDocCAwNVVFRU4x2nAfwoPOHK9+UCgH93dP7d9b7Nunx+c04IAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYDgEIAACYjsXdDZhReMImd7dQZ0fn3+3uFgAAqDccAQIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKbTJAJQeXm50tPTlZGR0aBzAACAOXj8j6Hu3LlT48aNU4sWLVRcXKx27drpvffeU1hYWL3OAQAA5uHRR4AcDodGjx6tCRMm6MiRIzp58qSCg4M1fvz4ep0DAADMxaMDUHJyshwOhxITEyVJPj4+mjFjhnbv3q2srKx6mwMAAMzFo0+BpaenKyIiQkFBQc6xvn37Otd16tSpXuaUlpaqtLTU+bioqEjSj0eTGkJl6fkG2W5Daqj3Ak1fU/z3GYD7NcTnyqVtGoZxxVqPDkAFBQUKDg52GQsKCpK3t7cKCgrqbc68efP07LPPVhkPDQ29ys6vPYEL3N0BAOBa0pCfK8XFxQoMDLxsjUcHIB8fH124cMFlrKysTJWVlWrevHm9zUlMTNR//ud/Oh9XVlY6g5SXl9fPfBWuHA6HQkNDdfz4cQUEBNTrtlE/2Eeejf3j+dhHnu9a3UeGYai4uFht27a9Yq1HB6CwsDBt2LDBZezEiROSpPbt29fbHKvVKqvV6jL201NoDSEgIOCa+pfuWsQ+8mzsH8/HPvJ81+I+utKRn0s8+iLomJgY5ebmau/evc6x5ORk+fn5acCAAZKkiooK2e125eXl1XoOAAAwN48OQP369dOIESMUFxenlStX6rXXXtOsWbM0e/ZstWzZUtKP5/mio6O1efPmWs8BAADm5tGnwCTpnXfe0YIFC7R06VJZrVYlJSUpLi7Oud5isSgqKko2m63Wc9zJarVqzpw5VU65wXOwjzwb+8fzsY88H/tI8jJq810xAACAa4hHnwIDAABoCAQgAABgOgQgAABgOgSgRuRwOJSWlqZjx465uxX8/7766it99tlnNa6vrKzUV199pS+++EIVFRWN2BkkqbCwUOnp6Tp9+nSNNeXl5UpPT1dGRkYjdoZLHA6H9u/f77zfWnVKSkq0b98+HT58uBE7w08ZhqGUlBSlp6dXu/7s2bNKS0u77H685hhoFK+88orRokUL4xe/+IXRsmVLY/jw4cb58+fd3ZZpvfnmm0bPnj2N66+/3ggMDKy25uuvvzY6depktGnTxmjXrp3Rvn17IzU1tXEbNalvvvnGuPvuu43rr7/e6N69u3HdddcZ9957r1FUVORSt2PHDsNmsxnh4eFGcHCwERkZaRw9etRNXZvLiRMnjLFjxxrBwcFGz549jYCAACMqKso4fvy4S92KFSsMf39/o3Pnzoa/v7/xm9/8xigsLHRT1+b1wgsvGN7e3kbXrl2rrJs/f77h6+trdOnSxfD19TViY2ONsrIyN3TZuAhAjSA1NdXw8vIy1q5daxiGYZw8edK46aabjKefftrNnZnXM888Y6SlpRn/+Mc/qg1AFRUVRteuXY1Ro0YZlZWVhmEYxoQJE4ywsDCjtLS0kbs1n+TkZGPjxo3Ox6dOnTIiIiKMyZMnO8eKioqM4OBgY/r06YZhGEZZWZnxm9/8xoiOjm70fs3o008/NTZu3Oj876O4uNjo0aOHcd999zlrMjMzDR8fH+P11183DMMwzp49a9xyyy3Ggw8+6JaezSotLc1o37698cADD1QJQNu3bze8vb2N7du3G4ZhGEeOHDFCQkKMv/71r+5otVERgBrBo48+avzqV79yGfvzn/9shISEOP94wD1qCkApKSmGJOPzzz93jmVlZRmSjC1btjRih7jkqaeeMrp06eJ8vHz5csPHx8c4e/asc+z99983JBmZmZlu6BAPP/yw0b9/f+fj2bNnGzfeeKPL37mFCxcavr6+HAFvJA6Hw7j55puNLVu2GH/605+qBKDY2Fjjtttucxl74oknjI4dOzZmm27BNUCNID09Xb169XIZ69u3r06fPq3s7Gw3dYXLSU9Pl8ViUWRkpHOsY8eOuuGGG2o8h46GlZaWpk6dOjkfp6enKyIiwuV3+/r27etch8aRlpamnTt3asGCBVq7dq3+67/+y7kuPT1dPXv2dPlR6b59++rChQs6ePCgO9o1nT/84Q8aMmSIhgwZUu36mj6fvvvuOxUXFzdGi27j8XeCvhZc+mX5n7r0uKCgQKGhoe5oC5dRUFCgG264weUPt/TjfisoKHBTV+a1aNEi2e127dq1yzlW3X9XQUFB8vb2Zh81oueee05Hjx7VwYMH9R//8R8uv7lYUFCgjh07utT/9G8fGtayZcv0xRdfKC0trcaaK30++fv7N2iP7sQRoEbg4+OjCxcuuIz98MMPkqTmzZu7oyVcQXX7TPpxv7HPGteaNWs0bdo0JSUluXy4VrePysrKVFlZyT5qRKtWrVJqaqqys7N14sQJ3Xfffc51/O1zn/z8fD322GN69NFHlZaWJrvdrhMnTuj8+fOy2+0qLCyUZO59RABqBGFhYVW+WnjixAl5eXlx9MdDhYWFyeFwuBwCLisrU35+vtq3b+/Gzsxl3bp1io2N1cKFCzVx4kSXdTX9dyWJfeQGgYGBevjhh/XRRx85P0DZR+7zww8/qHv37nr77beVkJCghIQE7d69W7m5uUpISNC3334rqeZ9ZLVa1bp1a3e03mgIQI0gJiZGO3bsUElJiXMsOTlZ/fv3l5+fnxs7Q01+85vfyGKxaMOGDc6xDz74QGVlZbrzzjvd2Jl5JCcna+zYsXr55Zf18MMPV1kfExOj3Nxc7d2712WOn5+fy5EiNIyf/j27JCsrS/7+/s4f2IyJidGePXuUl5fnrElOTtbNN9+ssLCwRuvVjNq3by+73e6yjB07Vh06dJDdble/fv0k/biPLv1tuyQ5OVl33HGHmjVr5q72GwXXADWCSZMm6ZVXXtHw4cP12GOPac+ePVq7dq22bt3q7tZMKyMjQ2fOnNHhw4dVUVEhu90uSerRo4euu+462Ww2Pfnkk5o2bZpKS0vl4+Oj6dOna/LkyVWuaUD92759u+6//37Fxsaqa9euzv1jsVjUv39/SVK/fv00YsQIxcXFae7cuSooKNCsWbM0Z84ctWzZ0p3tm0JiYqIqKyt1++23y8/PT5988omef/55zZ07V97eP/6/9ZgxY/Tiiy9q+PDhmj59ujIyMpSUlKSVK1e6uXtc8thjj2nx4sUaNWqUJk+erA8//FAff/yxdu/e7e7WGhy/Bt9I8vLyNH/+fH3xxRdq3bq1Hn30UUVHR7u7LdN65plnXC6oveSf//yn85tGlZWVWrx4sZKTk1VZWam77rpLU6ZMkcXC/zc0tEWLFumtt96qMu7v768tW7Y4H5eWlmrBggXasWOHrFarxowZo7i4uMZs1bQqKiq0YsUKbd68WUVFRQoPD9cDDzxQ5ehbYWGhnnvuOaWmpur666/XpEmTNHjwYDd1bW6vvPKK9uzZo+XLl7uMZ2dna/78+crIyFDbtm01bdo09enTx01dNh4CEAAAMB2uAQIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAKAWjpw4IB27Njh7jYA1ANuaQvAI1RWVio9PV3Hjh2Tv7+/+vXrJ39/f7f18+WXX6qgoEC33367c2zlypWy2+264447aqwB0DQQgAC4nd1u14MPPqjy8nL16NFDubm5+vLLLzVz5kwlJia6pae3335baWlpLuEmMjJSzZs3v2wNgKaBAATArb755hsNHjxYkydP1gsvvOD8Bepdu3Zp6NCh8vLyUkJCgiTps88+k5eXl/OXrC/Nz8nJ0Z133ilJyszM1L59+yT9+Nthv/rVr6r88nh6errOnTunPn366PPPP1dhYaH69Omj4OBgSdK3336rjIwM5ebm6t1335Uk3XbbberSpYtCQkJqrImIiND333+v0aNHuzzf999/r71791YZB+A+BCAAbvXss8+qVatW+p//+R9n+JGkQYMGadq0aZo7d64effRRBQQEaOHChbJYLC4BaO3atdq4caMzAB05ckTr16+XJBUVFWn37t16/PHH9de//tU5580339S2bdvk5eWltm3b6uzZs/ruu++0bds29erVS5mZmcrMzFRBQYFzWx06dNCGDRucp8Cqq3nggQcUGxsrm82mQYMGOZ/vz3/+s3JycghAgAchAAFwq61bt+r3v/+9y6mlS0aNGqX58+frk08+0dChQ2u1vd/97nf63e9+53z87bffqkePHho9erS6d+/uHD906JA+/fRT9e7dW5I0cuRI/e1vf9OaNWt0zz33yG63Ky0tzXl0R5I2bNjg/Oeaau655x4tXbrUGYDOnTunVatWaenSpbV7QwA0Cr4FBsBtysrKVFhYqPbt21e7/tL4qVOn6rTdkpIS7d69W6tWrVJ6erpat26t1NRUl5o+ffo4w48k/frXv9a3335bx1dQ1aRJk7R69WoVFxdL+vHCaavVquHDh//sbQOoPxwBAuA2zZs3l4+Pj86cOVPt+tOnT0uSbrjhhlpv84MPPlBsbKxCQ0MVHh4uX19fnTt3Tnl5eS51/75Nq9WqCxcu1PEVVDVkyBBdf/31WrlypSZNmqSlS5cqLi5OVqv1Z28bQP0hAAFwqz59+ujTTz+tdt2nn34qb29v9ejRQ5Lk7e2tyspKl5p/Dy1PPvmknnjiCc2aNcs51qlTJxmGUc+dV69Zs2Z68MEHtXTpUkVHRyslJUWvvPJKozw3gNrjFBgAt3ryySe1a9cubdy40WW8qKhIf/3rXzVq1CjnqbB27dopKyvLpe6jjz5yeXzq1Cndcsstzsfp6ek6fPhwnfvy8/O74hGhmmoeeugh7dmzRzNmzFDPnj1drj0C4Bk4AgTArUaNGqVZs2Zp9OjRmjRpkvr06aPc3FwlJSXpxhtv1BtvvOGsjY2N1f/+7//qj3/8o7p3766NGzfq0KFDioiIcNbce++9SkhI0JkzZ1RcXKyXXnpJfn5+de6rd+/e+tvf/qaXX35ZrVu31m233VarmptuuklhYWG68847lZycrIULF17dGwOgQXEECIDb/eUvf9Fnn32mwMBAbdu2TYsWLZJhGNq5c6cCAgKcdbfeeqtSUlLUrFkzffHFF5owYYKSkpIUExPjrFm0aJGefPJJ7d27Vzk5OVq7dq0ef/xxde3a1VnTs2dPl6+pSz+eJrvnnnucj4cMGaLFixfr66+/1vr163XixAlFRkY67wJdU80l9957r6xWq2JjY+v1vQJQP7yMxjoxDgC19O2336p37976wx/+oOeff97d7VyVYcOGKSAgQG+99Za7WwFQDU6BAfA4t9xyi5YvX67/+7//0/fff1/lTs6e7OOPP9auXbv0wQcfKC0tzd3tAKgBR4AAoB7Nnz9f3377rcaMGaMhQ4a4ux0ANSAAAQAA0+EiaAAAYDoEIAAAYDoEIAAAYDoEIAAAYDoEIAAAYDoEIAAAYDoEIAAAYDoEIAAAYDoEIAAAYDr/H2OKxjzKdIi8AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df_coffee[\"quantity\"])  # ヒストグラムを描画\n",
    "ax.set_title(\"Coffee quantity\")\n",
    "ax.set_xlabel(\"Quantity\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a71d93a",
   "metadata": {},
   "source": [
    "サブプロットの`hist()`メソッドには、分布を見たい値を渡します。\n",
    "デフォルトでは、値の範囲を10個のビンに分けます。\n",
    "\n",
    "棒グラフは項目どうしを比べるグラフで、ヒストグラムは1つの値の分布を見るグラフです。\n",
    "ヒストグラムの横軸は項目ではなく値の範囲のため、棒の間にすき間がありません。\n",
    "\n",
    "`bins`でビンの数を指定すると、より細かく区切ったヒストグラムを描画できます。\n",
    "`bins=20`は、値の範囲を20個のビンに分ける指定です。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "766e9f06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(df_coffee[\"quantity\"], bins=20)  # ビンの数を指定\n",
    "ax.set_title(\"Coffee quantity\")\n",
    "ax.set_xlabel(\"Quantity\")\n",
    "ax.set_ylabel(\"Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40fb506b",
   "metadata": {},
   "source": [
    "グラフから、コーヒーの数量の多くは20〜40個であることが分かります。\n",
    "また、0の外れ値がほかから離れて現れています。\n",
    "\n",
    "`orientation=\"horizontal\"`を指定すると、棒を横向きにしたヒストグラムを描画できます。\n",
    "横向きのため、横軸が個数、縦軸が数量になります。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9d8f4091",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.hist(\n",
    "    df_coffee[\"quantity\"],\n",
    "    bins=20,\n",
    "    orientation=\"horizontal\",  # 棒を横向きにする\n",
    ")\n",
    "ax.set_title(\"Coffee quantity\")\n",
    "ax.set_xlabel(\"Count\")\n",
    "ax.set_ylabel(\"Quantity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "074251e7",
   "metadata": {},
   "source": [
    "## そのほかのグラフ\n",
    "\n",
    "Matplotlibでは、ほかにもさまざまなグラフを描画できます。\n",
    "描画できるグラフの種類は、公式サイトの「Plot types」のページで確認できます。\n",
    "\n",
    "* Plot types：<https://matplotlib.org/stable/plot_types/index.html>\n",
    "\n",
    "```{figure} images/6_plot_types.png\n",
    ":alt: MatplotlibのPlot typesのページの画面\n",
    "\n",
    "MatplotlibのPlot typesのページ\n",
    "```\n",
    "\n",
    "ここでは、箱ひげ図と円グラフを描画します。\n",
    "\n",
    "### 箱ひげ図\n",
    "\n",
    "**箱ひげ図**は、グループごとの値の散らばりと外れ値を比べるためのグラフです。\n",
    "ここでは、店舗ごとのコーヒーの数量を比べます。\n",
    "\n",
    "散布図で抽出したコーヒーの行（`df_coffee`）から、店舗ごとの数量を抽出します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "62980511",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 店舗ごとのコーヒーの数量を抽出\n",
    "coffee_tokyo = df_coffee[df_coffee[\"store\"] == \"Tokyo\"][\"quantity\"]\n",
    "coffee_osaka = df_coffee[df_coffee[\"store\"] == \"Osaka\"][\"quantity\"]\n",
    "coffee_nagoya = df_coffee[df_coffee[\"store\"] == \"Nagoya\"][\"quantity\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "294c062c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.boxplot(  # 箱ひげ図を描画\n",
    "    [coffee_tokyo, coffee_osaka, coffee_nagoya],\n",
    "    tick_labels=[\"Tokyo\", \"Osaka\", \"Nagoya\"],\n",
    ")\n",
    "ax.set_title(\"Coffee quantity by store\")\n",
    "ax.set_xlabel(\"Store\")\n",
    "ax.set_ylabel(\"Quantity\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0080ba35",
   "metadata": {},
   "source": [
    "サブプロットの`boxplot()`メソッドには、グループごとの値をリストにして渡します。\n",
    "`tick_labels`で、横軸の目盛りのラベル（店舗名）を指定します。\n",
    "\n",
    "箱ひげ図は、次のように読みます。\n",
    "\n",
    "* 箱：中央の50%の値の範囲\n",
    "* 箱の中の線：中央値\n",
    "* ひげ：外れ値を除いた最小値から最大値までの範囲\n",
    "* 点：外れ値\n",
    "\n",
    "グラフから、コーヒーの数量はTokyoが最も多いことが分かります。\n",
    "また、Nagoyaの0が外れ値として点で現れています。\n",
    "\n",
    "### 円グラフ\n",
    "\n",
    "**円グラフ**は、全体を円で表し、項目ごとの割合を扇形の大きさで表したグラフで、全体に対する割合を見るために使います。\n",
    "ここでは、棒グラフで比べた店舗ごとの売上金額の合計（`df_store`）の割合を見ます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fc673e5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.pie(df_store, labels=df_store.index)  # 円グラフを描画\n",
    "ax.set_title(\"Sales share by store\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00d96c27",
   "metadata": {},
   "source": [
    "サブプロットの`pie()`メソッドには、割合を見たい値を渡し、`labels`で項目のラベルを指定します。\n",
    "円グラフには軸がないため、軸ラベルは付けません。\n",
    "\n",
    "デフォルトでは、円の右（時計の3時の位置）から反時計回りに項目を配置します。\n",
    "上（時計の12時の位置）から配置を始めるには`startangle=90`（90度の位置）、時計回りに配置するには`counterclock=False`を指定します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "58fa9849",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.pie(\n",
    "    df_store,\n",
    "    labels=df_store.index,\n",
    "    startangle=90,  # 12時の位置から配置\n",
    "    counterclock=False,  # 時計回りに配置\n",
    ")\n",
    "ax.set_title(\"Sales share by store\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3274b3d0",
   "metadata": {},
   "source": [
    "`autopct`を指定すると、それぞれの扇形に割合を表示できます。\n",
    "`\"%.1f%%\"`は、割合を小数第1位までの%で表示する書式です。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4ecb3859",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.pie(\n",
    "    df_store,\n",
    "    labels=df_store.index,\n",
    "    startangle=90,\n",
    "    counterclock=False,\n",
    "    autopct=\"%.1f%%\",  # 割合を表示\n",
    ")\n",
    "ax.set_title(\"Sales share by store\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f24e595",
   "metadata": {},
   "source": [
    "グラフから、売上金額の割合はTokyoが約40%であることが分かります。\n",
    "\n",
    "(japanese-font)=\n",
    "## 日本語の表示\n",
    "\n",
    "この章ではここまで、店舗名を英語に書き換えたデータを使ってきました。\n",
    "Matplotlibでグラフに日本語を表示するには、フォントの設定が必要です。\n",
    "\n",
    "フォントを指定せずにグラフのタイトルなどで日本語を表示すると、次のように日本語の文字が四角になります（豆腐化とも呼ばれます）。\n",
    "Matplotlibの標準のフォント（DejaVu Sans）には日本語の文字がないため、豆腐化が起こります。\n",
    "\n",
    "```{figure} images/6_mojibake.png\n",
    ":alt: フォントを指定せずに日本語を表示した棒グラフ\n",
    "\n",
    "フォントを指定せずに日本語を表示した棒グラフ\n",
    "```\n",
    "\n",
    "グラフを作成するときに、次のような警告のメッセージが出力されます。\n",
    "メッセージの内容は「DejaVu Sansというフォントに、この文字（Glyph）が存在しない」という意味です。\n",
    "\n",
    "```{literalinclude} images/6_mojibake_warning.txt\n",
    ":language: text\n",
    "```\n",
    "\n",
    "それでは、日本語のフォントを指定します。\n",
    "`platform.system()`関数は、OSの名前を返します（Windowsは`\"Windows\"`、macOSは`\"Darwin\"`）。\n",
    "`plt.rcParams`はMatplotlibの設定で、`\"font.family\"`にフォント名を指定すると、それ以降のグラフの文字がそのフォントで表示されます。\n",
    "WindowsとmacOSでは入っている日本語のフォントが違うため、OSを判定して指定します。\n",
    "1つのコードでWindowsでもmacOSでも日本語フォントが正しく設定できます。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b96a5264",
   "metadata": {},
   "outputs": [],
   "source": [
    "import platform\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# OSに合わせて日本語のフォントを指定\n",
    "if platform.system() == \"Windows\":\n",
    "    plt.rcParams[\"font.family\"] = \"Yu Gothic\"\n",
    "elif platform.system() == \"Darwin\":\n",
    "    plt.rcParams[\"font.family\"] = \"Hiragino Sans\"\n",
    "else:\n",
    "    plt.rcParams[\"font.family\"] = \"IPAPGothic\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7637d6a",
   "metadata": {},
   "source": [
    "Linuxで`IPAPGothic`がない場合は、OSにある日本語のフォント名に書き換えてください。\n",
    "\n",
    "```{note}\n",
    "カーネルを再起動すると、フォントの設定も消えます。\n",
    "カーネルを再起動した場合は、この節のセルを上から順にもう一度実行してください。\n",
    "```\n",
    "\n",
    "店舗名を日本語に戻すため、売上データを読み込み直します。\n",
    "{ref}`売上データの読み込み <matplotlib-load-sales-data>`の最初のセルと同じコードです。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0c9ffe2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 売上データを読み込み直す\n",
    "import pandas as pd\n",
    "df = pd.read_csv(\"sales_clean.csv\", parse_dates=[\"date\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "904460c1",
   "metadata": {},
   "source": [
    "「棒グラフで比較する」と同じく、店舗ごとの売上金額の合計を求めます。\n",
    "店舗名が日本語になっていることを確認してください。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b9ec2008",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "store\n",
       "名古屋店    641850\n",
       "大阪店     815050\n",
       "東京店     988500\n",
       "Name: amount, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 店舗ごとの売上金額の合計を計算\n",
    "df_store = df.groupby(\"store\")[\"amount\"].sum()\n",
    "df_store"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dd07246",
   "metadata": {},
   "source": [
    "「棒グラフで比較する」のグラフを、日本語の店舗名、タイトル、軸ラベルで描画し直します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8885c267",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.bar(df_store.index, df_store)\n",
    "ax.set_title(\"店舗ごとの売上金額\")\n",
    "ax.set_xlabel(\"店舗\")\n",
    "ax.set_ylabel(\"売上金額（円）\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98ad774a",
   "metadata": {},
   "source": [
    "日本語の店舗名、タイトル、軸ラベルが表示されました。\n",
    "\n",
    "## pandasからグラフを描画する\n",
    "\n",
    "pandasの`plot()`メソッドは、内部でMatplotlibを使用してグラフを描画します。\n",
    "`plot.bar()`メソッドを使うと、棒グラフを描画できます。\n",
    "{ref}`日本語の表示 <japanese-font>`で求めた店舗ごとの売上金額の合計（`df_store`）から、棒グラフを描画します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2fe7f49c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_store.plot.bar()  # pandasから棒グラフを描画\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e14997b",
   "metadata": {},
   "source": [
    "描画オブジェクトとサブプロットの生成を必要とせず、`plot.bar()`メソッドを1行呼び出すだけで棒グラフを描画できます。\n",
    "横軸にはインデックスの店舗名が、横軸のラベルにはインデックスの名前（`store`）が自動で設定されます。\n",
    "\n",
    "タイトルや軸ラベルなどを指定する引数は、pandasのリファレンスで調べられます。\n",
    "\n",
    "* pandas.Series.plot.bar：<https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.bar.html>\n",
    "\n",
    "また、棒グラフ以外のグラフを描画するためのメソッドとドキュメントへのリンクを以下に示します。\n",
    "\n",
    "```{table} pandasで描画できるグラフ\n",
    "| グラフ名 | メソッド |\n",
    "|---|---|\n",
    "| 折れ線グラフ | [Series.plot.line()](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.line.html) |\n",
    "| 散布図 | [DataFrame.plot.scatter()](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.scatter.html) |\n",
    "| ヒストグラム | [Series.plot.hist()](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.hist.html) |\n",
    "| 箱ひげ図 | [DataFrame.plot.box()](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.box.html) |\n",
    "| 円グラフ | [Series.plot.pie()](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.pie.html) |\n",
    "```\n",
    "\n",
    "## この章のまとめ\n",
    "\n",
    "この章では以下を行いました。\n",
    "\n",
    "```{table} この章で行ったこと\n",
    "| 節 | 行ったこと | グラフ | 使った関数・メソッドなど |\n",
    "|---|---|---|---|\n",
    "| 売上データの折れ線グラフを描画する | 日ごとの売上金額の推移を見る | 折れ線グラフ | `plt.subplots()`、`plot()`、`plt.show()` |\n",
    "| グラフをカスタマイズする | タイトルと軸ラベルを付け、日付の目盛りを斜めにする | 折れ線グラフ | `set_title()`、`set_xlabel()`、`set_ylabel()`、`autofmt_xdate()` |\n",
    "| 棒グラフで比較する | 店舗ごとの売上金額を比較する | 棒グラフ | `bar()` |\n",
    "| 散布図で関係を見る | コーヒーとケーキの数量の関係を見る | 散布図 | `scatter()` |\n",
    "| ヒストグラムで分布を見る | コーヒーの数量の分布を見る | ヒストグラム | `hist()` |\n",
    "| そのほかのグラフ | 店舗ごとのコーヒーの数量の散らばりを比較する、店舗ごとの売上金額の割合を見る | 箱ひげ図、円グラフ | `boxplot()`、`pie()` |\n",
    "| 日本語の表示 | 日本語のフォントを指定し、棒グラフを日本語で描画する | 棒グラフ | `platform.system()`、`plt.rcParams` |\n",
    "| pandasからグラフを描画する | pandasの集計結果から棒グラフを描画する | 棒グラフ | `plot.bar()` |\n",
    "```\n",
    "\n",
    "次の第7章では、機械学習やスクレイピングなど、データ分析の応用を紹介します。\n",
    "また、気象庁のページから取得したデータを、第5章と第6章の方法で加工してグラフにする実演を見ます。"
   ]
  }
 ],
 "metadata": {
  "file_format": "mystnb",
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.14.3"
  },
  "source_map": [
   6,
   104,
   109,
   111,
   120,
   124,
   132,
   134,
   138,
   142,
   147,
   151,
   176,
   183,
   191,
   199,
   212,
   215,
   237,
   241,
   245,
   252,
   265,
   272,
   282,
   288,
   292,
   299,
   306,
   325,
   332,
   343,
   350,
   358,
   369,
   393,
   400,
   410,
   430,
   435,
   443,
   453,
   458,
   469,
   501,
   512,
   524,
   528,
   533,
   537,
   541,
   548,
   558,
   561
  ]
 },
 "nbformat": 4,
 "nbformat_minor": 5
}