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@self-methods
Created January 9, 2021 14:44
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 【matplotlib】データフレームでのグラフ作成方法と種類【まとめ】"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ライブラリのインポート"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import warnings\n",
"warnings.simplefilter('ignore')\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## データのインポート"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>sepal length (cm)</th>\n",
" <th>sepal width (cm)</th>\n",
" <th>petal length (cm)</th>\n",
" <th>petal width (cm)</th>\n",
" <th>target</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5.1</td>\n",
" <td>3.5</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>4.9</td>\n",
" <td>3.0</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>4.7</td>\n",
" <td>3.2</td>\n",
" <td>1.3</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4.6</td>\n",
" <td>3.1</td>\n",
" <td>1.5</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5.0</td>\n",
" <td>3.6</td>\n",
" <td>1.4</td>\n",
" <td>0.2</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sepal length (cm) sepal width (cm) petal length (cm) petal width (cm) \\\n",
"0 5.1 3.5 1.4 0.2 \n",
"1 4.9 3.0 1.4 0.2 \n",
"2 4.7 3.2 1.3 0.2 \n",
"3 4.6 3.1 1.5 0.2 \n",
"4 5.0 3.6 1.4 0.2 \n",
"\n",
" target \n",
"0 setosa \n",
"1 setosa \n",
"2 setosa \n",
"3 setosa \n",
"4 setosa "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.datasets import load_iris\n",
"iris = load_iris()\n",
"iris_x = pd.DataFrame(iris.data, columns=list(iris.feature_names))\n",
"\n",
"iris_y = pd.DataFrame(iris.target, columns=[\"target\"])\n",
"iris_label = {0:'setosa', 1:'versicolor', 2:'virginica'}\n",
"iris_y['target'] = iris_y['target'].map(iris_label)\n",
"\n",
"iris_df = pd.concat([iris_x, iris_y], axis=1)\n",
"iris_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 折れ線グラフ\n",
"df.plot()<br>\n",
"明示的に行う場合はdf.plot(kind=\"line\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_df.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 棒グラフ\n",
"df.plot(kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"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>sepal length (cm)</th>\n",
" <th>sepal width (cm)</th>\n",
" <th>petal length (cm)</th>\n",
" <th>petal width (cm)</th>\n",
" </tr>\n",
" <tr>\n",
" <th>target</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>setosa</th>\n",
" <td>5.006</td>\n",
" <td>3.428</td>\n",
" <td>1.462</td>\n",
" <td>0.246</td>\n",
" </tr>\n",
" <tr>\n",
" <th>versicolor</th>\n",
" <td>5.936</td>\n",
" <td>2.770</td>\n",
" <td>4.260</td>\n",
" <td>1.326</td>\n",
" </tr>\n",
" <tr>\n",
" <th>virginica</th>\n",
" <td>6.588</td>\n",
" <td>2.974</td>\n",
" <td>5.552</td>\n",
" <td>2.026</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" sepal length (cm) sepal width (cm) petal length (cm) \\\n",
"target \n",
"setosa 5.006 3.428 1.462 \n",
"versicolor 5.936 2.770 4.260 \n",
"virginica 6.588 2.974 5.552 \n",
"\n",
" petal width (cm) \n",
"target \n",
"setosa 0.246 \n",
"versicolor 1.326 \n",
"virginica 2.026 "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"iris_target = iris_df.groupby(\"target\").mean()\n",
"iris_target"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='target'>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_target.plot(kind=\"bar\", figsize=(8,5))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 横棒グラフ\n",
"df.plot(kind=\"barh\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:ylabel='target'>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_target.plot(kind=\"barh\", figsize=(8,8))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 積上げ棒グラフ\n",
"df.plot(kind=\"bar\", stacked=True)<br>\n",
"積上げ棒グラフの場合は引数にstacked=Trueを指定します。"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='target'>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_target.plot(kind=\"bar\", figsize=(8,5), stacked=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 散布図\n",
"df.plot(kind=\"scatter\", x, y)<br>\n",
"x,yそれぞれに軸データを指定します"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='sepal length (cm)', ylabel='petal length (cm)'>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_df.plot(kind='scatter', x=\"sepal length (cm)\", y=\"petal length (cm)\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ヒストグラム\n",
"df.plot(kind=\"hist\")<br>\n",
"独立したグラフを作成する際には、引数にsubplots=Trueを指定、レイアウト変更の際にはlayout=(行数,列数)を指定します。"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[<AxesSubplot:ylabel='Frequency'>],\n",
" [<AxesSubplot:ylabel='Frequency'>],\n",
" [<AxesSubplot:ylabel='Frequency'>],\n",
" [<AxesSubplot:ylabel='Frequency'>]], dtype=object)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 4 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_df.plot(kind=\"hist\", alpha=0.5)\n",
"iris_df.plot(kind=\"hist\", subplots=True, layout=(4,1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 箱ひげ図"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"iris_df.plot(kind=\"box\")"
]
}
],
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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