00_Datasets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "- あらかじめ読み込んでおくモジュール"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd                    # データフレームのライブラリ　　\n",
    "from matplotlib import pyplot as plt   # 可視化ライブラリ\n",
    "import seaborn as sns                  # matplotlibをおしゃれにする\n",
    "%matplotlib inline \n",
    "# inlineでグラフを表示\n",
    "from ipywidgets import interact\n",
    "from sklearn import datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 今回のお題"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# データは大きく二種類"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['load_boston', 'load_breast_cancer', 'load_diabetes', 'load_digits', 'load_files', 'load_iris', 'load_linnerud', 'load_mlcomp', 'load_sample_image', 'load_sample_images', 'load_svmlight_file', 'load_svmlight_files', 'load_wine']\n"
     ]
    }
   ],
   "source": [
    "# トイデータ loadからはじまる\n",
    "loadable_dataset = [i for i in dir(datasets) if i.startswith(\"load\")]\n",
    "print(loadable_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['make_biclusters', 'make_blobs', 'make_checkerboard', 'make_circles', 'make_classification', 'make_friedman1', 'make_friedman2', 'make_friedman3', 'make_gaussian_quantiles', 'make_hastie_10_2', 'make_low_rank_matrix', 'make_moons', 'make_multilabel_classification', 'make_regression', 'make_s_curve', 'make_sparse_coded_signal', 'make_sparse_spd_matrix', 'make_sparse_uncorrelated', 'make_spd_matrix', 'make_swiss_roll']\n"
     ]
    }
   ],
   "source": [
    "# 人工データ makeからはじまる\n",
    "makeable_dataset = [i for i in dir(datasets) if i.startswith(\"make\")]\n",
    "print(makeable_dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### sklearnの基本的なdatasetは下記２つのデータ\n",
    "- target: 全レコードのクラスラベル  \n",
    "    （回帰の時は被説明変数）\n",
    "- data: 全レコードの特徴量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# トイデータ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## クラス分類用データ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# みんな大好きiris\n",
    "iris = datasets.load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# datasetsは辞書形式でデータが入っているので、中身を確認\n",
    "iris.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "target:  (150,)\n",
      "data:  (150, 4)\n"
     ]
    }
   ],
   "source": [
    "print(\"target: \",iris.target.shape) # クラスのラベル 150個\n",
    "print(\"data: \",iris.data.shape) #特徴量　150×4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# クラスのラベル\n",
    "iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype='<U10')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 実際のラベルの名前　0,1,2がそれぞれに対応\n",
    "iris.target_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.1, 3.5, 1.4, 0.2],\n",
       "       [4.9, 3. , 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.3, 0.2],\n",
       "       [4.6, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.6, 1.4, 0.2]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 特徴量\n",
    "iris.data[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>target</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",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>setosa</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>setosa</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>virginica</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>virginica</td>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>virginica</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>virginica</td>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>virginica</td>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        target  sepal length (cm)  sepal width (cm)  petal length (cm)  \\\n",
       "0       setosa                5.1               3.5                1.4   \n",
       "1       setosa                4.9               3.0                1.4   \n",
       "2       setosa                4.7               3.2                1.3   \n",
       "3       setosa                4.6               3.1                1.5   \n",
       "4       setosa                5.0               3.6                1.4   \n",
       "5       setosa                5.4               3.9                1.7   \n",
       "6       setosa                4.6               3.4                1.4   \n",
       "7       setosa                5.0               3.4                1.5   \n",
       "8       setosa                4.4               2.9                1.4   \n",
       "9       setosa                4.9               3.1                1.5   \n",
       "10      setosa                5.4               3.7                1.5   \n",
       "11      setosa                4.8               3.4                1.6   \n",
       "12      setosa                4.8               3.0                1.4   \n",
       "13      setosa                4.3               3.0                1.1   \n",
       "14      setosa                5.8               4.0                1.2   \n",
       "15      setosa                5.7               4.4                1.5   \n",
       "16      setosa                5.4               3.9                1.3   \n",
       "17      setosa                5.1               3.5                1.4   \n",
       "18      setosa                5.7               3.8                1.7   \n",
       "19      setosa                5.1               3.8                1.5   \n",
       "20      setosa                5.4               3.4                1.7   \n",
       "21      setosa                5.1               3.7                1.5   \n",
       "22      setosa                4.6               3.6                1.0   \n",
       "23      setosa                5.1               3.3                1.7   \n",
       "24      setosa                4.8               3.4                1.9   \n",
       "25      setosa                5.0               3.0                1.6   \n",
       "26      setosa                5.0               3.4                1.6   \n",
       "27      setosa                5.2               3.5                1.5   \n",
       "28      setosa                5.2               3.4                1.4   \n",
       "29      setosa                4.7               3.2                1.6   \n",
       "..         ...                ...               ...                ...   \n",
       "120  virginica                6.9               3.2                5.7   \n",
       "121  virginica                5.6               2.8                4.9   \n",
       "122  virginica                7.7               2.8                6.7   \n",
       "123  virginica                6.3               2.7                4.9   \n",
       "124  virginica                6.7               3.3                5.7   \n",
       "125  virginica                7.2               3.2                6.0   \n",
       "126  virginica                6.2               2.8                4.8   \n",
       "127  virginica                6.1               3.0                4.9   \n",
       "128  virginica                6.4               2.8                5.6   \n",
       "129  virginica                7.2               3.0                5.8   \n",
       "130  virginica                7.4               2.8                6.1   \n",
       "131  virginica                7.9               3.8                6.4   \n",
       "132  virginica                6.4               2.8                5.6   \n",
       "133  virginica                6.3               2.8                5.1   \n",
       "134  virginica                6.1               2.6                5.6   \n",
       "135  virginica                7.7               3.0                6.1   \n",
       "136  virginica                6.3               3.4                5.6   \n",
       "137  virginica                6.4               3.1                5.5   \n",
       "138  virginica                6.0               3.0                4.8   \n",
       "139  virginica                6.9               3.1                5.4   \n",
       "140  virginica                6.7               3.1                5.6   \n",
       "141  virginica                6.9               3.1                5.1   \n",
       "142  virginica                5.8               2.7                5.1   \n",
       "143  virginica                6.8               3.2                5.9   \n",
       "144  virginica                6.7               3.3                5.7   \n",
       "145  virginica                6.7               3.0                5.2   \n",
       "146  virginica                6.3               2.5                5.0   \n",
       "147  virginica                6.5               3.0                5.2   \n",
       "148  virginica                6.2               3.4                5.4   \n",
       "149  virginica                5.9               3.0                5.1   \n",
       "\n",
       "     petal width (cm)  \n",
       "0                 0.2  \n",
       "1                 0.2  \n",
       "2                 0.2  \n",
       "3                 0.2  \n",
       "4                 0.2  \n",
       "5                 0.4  \n",
       "6                 0.3  \n",
       "7                 0.2  \n",
       "8                 0.2  \n",
       "9                 0.1  \n",
       "10                0.2  \n",
       "11                0.2  \n",
       "12                0.1  \n",
       "13                0.1  \n",
       "14                0.2  \n",
       "15                0.4  \n",
       "16                0.4  \n",
       "17                0.3  \n",
       "18                0.3  \n",
       "19                0.3  \n",
       "20                0.2  \n",
       "21                0.4  \n",
       "22                0.2  \n",
       "23                0.5  \n",
       "24                0.2  \n",
       "25                0.2  \n",
       "26                0.4  \n",
       "27                0.2  \n",
       "28                0.2  \n",
       "29                0.2  \n",
       "..                ...  \n",
       "120               2.3  \n",
       "121               2.0  \n",
       "122               2.0  \n",
       "123               1.8  \n",
       "124               2.1  \n",
       "125               1.8  \n",
       "126               1.8  \n",
       "127               1.8  \n",
       "128               2.1  \n",
       "129               1.6  \n",
       "130               1.9  \n",
       "131               2.0  \n",
       "132               2.2  \n",
       "133               1.5  \n",
       "134               1.4  \n",
       "135               2.3  \n",
       "136               2.4  \n",
       "137               1.8  \n",
       "138               1.8  \n",
       "139               2.1  \n",
       "140               2.4  \n",
       "141               2.3  \n",
       "142               1.9  \n",
       "143               2.3  \n",
       "144               2.5  \n",
       "145               2.3  \n",
       "146               1.9  \n",
       "147               2.0  \n",
       "148               2.3  \n",
       "149               1.8  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#pandasで整形するとこんな感じ\n",
    "pd.concat(\n",
    "    [pd.DataFrame((iris.target_names[i] for i in iris.target),columns=[\"target\"]),\n",
    "    pd.DataFrame(iris.data,columns=iris.feature_names)],\n",
    "    axis=1\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 回帰用データ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'target', 'DESCR', 'feature_names'])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#糖尿病患者さんのトイデータ　測定値10種類と、一年後の血糖値\n",
    "diab = datasets.load_diabetes()\n",
    "diab.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "target:  (442,)\n",
      "data:  (442, 10)\n"
     ]
    }
   ],
   "source": [
    "print(\"target: \",diab[\"target\"].shape)\n",
    "print(\"data: \",diab[\"data\"].shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>432</th>\n",
       "      <th>433</th>\n",
       "      <th>434</th>\n",
       "      <th>435</th>\n",
       "      <th>436</th>\n",
       "      <th>437</th>\n",
       "      <th>438</th>\n",
       "      <th>439</th>\n",
       "      <th>440</th>\n",
       "      <th>441</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>151.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>...</td>\n",
       "      <td>173.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 442 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     0     1      2      3      4     5      6     7      8      9    ...   \\\n",
       "0  151.0  75.0  141.0  206.0  135.0  97.0  138.0  63.0  110.0  310.0  ...    \n",
       "\n",
       "     432   433   434   435   436    437    438    439    440   441  \n",
       "0  173.0  72.0  49.0  64.0  48.0  178.0  104.0  132.0  220.0  57.0  \n",
       "\n",
       "[1 rows x 442 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(diab[\"target\"]).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.038076</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.061696</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>-0.044223</td>\n",
       "      <td>-0.034821</td>\n",
       "      <td>-0.043401</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.019908</td>\n",
       "      <td>-0.017646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.001882</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.051474</td>\n",
       "      <td>-0.026328</td>\n",
       "      <td>-0.008449</td>\n",
       "      <td>-0.019163</td>\n",
       "      <td>0.074412</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.068330</td>\n",
       "      <td>-0.092204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.085299</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.044451</td>\n",
       "      <td>-0.005671</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.034194</td>\n",
       "      <td>-0.032356</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.002864</td>\n",
       "      <td>-0.025930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.089063</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.011595</td>\n",
       "      <td>-0.036656</td>\n",
       "      <td>0.012191</td>\n",
       "      <td>0.024991</td>\n",
       "      <td>-0.036038</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.022692</td>\n",
       "      <td>-0.009362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.005383</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.036385</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>0.003935</td>\n",
       "      <td>0.015596</td>\n",
       "      <td>0.008142</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.031991</td>\n",
       "      <td>-0.046641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.092695</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.040696</td>\n",
       "      <td>-0.019442</td>\n",
       "      <td>-0.068991</td>\n",
       "      <td>-0.079288</td>\n",
       "      <td>0.041277</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>-0.041180</td>\n",
       "      <td>-0.096346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-0.045472</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.047163</td>\n",
       "      <td>-0.015999</td>\n",
       "      <td>-0.040096</td>\n",
       "      <td>-0.024800</td>\n",
       "      <td>0.000779</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.062913</td>\n",
       "      <td>-0.038357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.063504</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.001895</td>\n",
       "      <td>0.066630</td>\n",
       "      <td>0.090620</td>\n",
       "      <td>0.108914</td>\n",
       "      <td>0.022869</td>\n",
       "      <td>0.017703</td>\n",
       "      <td>-0.035817</td>\n",
       "      <td>0.003064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.041708</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.061696</td>\n",
       "      <td>-0.040099</td>\n",
       "      <td>-0.013953</td>\n",
       "      <td>0.006202</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.014956</td>\n",
       "      <td>0.011349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.070900</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.039062</td>\n",
       "      <td>-0.033214</td>\n",
       "      <td>-0.012577</td>\n",
       "      <td>-0.034508</td>\n",
       "      <td>-0.024993</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.067736</td>\n",
       "      <td>-0.013504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-0.096328</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.083808</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>-0.103389</td>\n",
       "      <td>-0.090561</td>\n",
       "      <td>-0.013948</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>-0.062913</td>\n",
       "      <td>-0.034215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.027178</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.017506</td>\n",
       "      <td>-0.033214</td>\n",
       "      <td>-0.007073</td>\n",
       "      <td>0.045972</td>\n",
       "      <td>-0.065491</td>\n",
       "      <td>0.071210</td>\n",
       "      <td>-0.096433</td>\n",
       "      <td>-0.059067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.016281</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.028840</td>\n",
       "      <td>-0.009113</td>\n",
       "      <td>-0.004321</td>\n",
       "      <td>-0.009769</td>\n",
       "      <td>0.044958</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.030751</td>\n",
       "      <td>-0.042499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.005383</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.001895</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>-0.004321</td>\n",
       "      <td>-0.015719</td>\n",
       "      <td>-0.002903</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.038393</td>\n",
       "      <td>-0.013504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.045341</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.025607</td>\n",
       "      <td>-0.012556</td>\n",
       "      <td>0.017694</td>\n",
       "      <td>-0.000061</td>\n",
       "      <td>0.081775</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.031991</td>\n",
       "      <td>-0.075636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.052738</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.018062</td>\n",
       "      <td>0.080401</td>\n",
       "      <td>0.089244</td>\n",
       "      <td>0.107662</td>\n",
       "      <td>-0.039719</td>\n",
       "      <td>0.108111</td>\n",
       "      <td>0.036056</td>\n",
       "      <td>-0.042499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.005515</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.042296</td>\n",
       "      <td>0.049415</td>\n",
       "      <td>0.024574</td>\n",
       "      <td>-0.023861</td>\n",
       "      <td>0.074412</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>0.052280</td>\n",
       "      <td>0.027917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.070769</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.012117</td>\n",
       "      <td>0.056301</td>\n",
       "      <td>0.034206</td>\n",
       "      <td>0.049416</td>\n",
       "      <td>-0.039719</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.027368</td>\n",
       "      <td>-0.001078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.038207</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.010517</td>\n",
       "      <td>-0.036656</td>\n",
       "      <td>-0.037344</td>\n",
       "      <td>-0.019476</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.018118</td>\n",
       "      <td>-0.017646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.027310</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.018062</td>\n",
       "      <td>-0.040099</td>\n",
       "      <td>-0.002945</td>\n",
       "      <td>-0.011335</td>\n",
       "      <td>0.037595</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.008944</td>\n",
       "      <td>-0.054925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.049105</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.056863</td>\n",
       "      <td>-0.043542</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.043276</td>\n",
       "      <td>0.000779</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.011901</td>\n",
       "      <td>0.015491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.085430</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.022373</td>\n",
       "      <td>0.001215</td>\n",
       "      <td>-0.037344</td>\n",
       "      <td>-0.026366</td>\n",
       "      <td>0.015505</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.072128</td>\n",
       "      <td>-0.017646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.085430</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.004050</td>\n",
       "      <td>-0.009113</td>\n",
       "      <td>-0.002945</td>\n",
       "      <td>0.007767</td>\n",
       "      <td>0.022869</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.061177</td>\n",
       "      <td>-0.013504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.045341</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.060618</td>\n",
       "      <td>0.031053</td>\n",
       "      <td>0.028702</td>\n",
       "      <td>-0.047347</td>\n",
       "      <td>-0.054446</td>\n",
       "      <td>0.071210</td>\n",
       "      <td>0.133599</td>\n",
       "      <td>0.135612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-0.063635</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.035829</td>\n",
       "      <td>-0.022885</td>\n",
       "      <td>-0.030464</td>\n",
       "      <td>-0.018850</td>\n",
       "      <td>-0.006584</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.025952</td>\n",
       "      <td>-0.054925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-0.067268</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.012673</td>\n",
       "      <td>-0.040099</td>\n",
       "      <td>-0.015328</td>\n",
       "      <td>0.004636</td>\n",
       "      <td>-0.058127</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.019199</td>\n",
       "      <td>-0.034215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.107226</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.077342</td>\n",
       "      <td>-0.026328</td>\n",
       "      <td>-0.089630</td>\n",
       "      <td>-0.096198</td>\n",
       "      <td>0.026550</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>-0.042572</td>\n",
       "      <td>-0.005220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-0.023677</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.059541</td>\n",
       "      <td>-0.040099</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.043589</td>\n",
       "      <td>0.011824</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.015998</td>\n",
       "      <td>0.040343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.052606</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.021295</td>\n",
       "      <td>-0.074528</td>\n",
       "      <td>-0.040096</td>\n",
       "      <td>-0.037639</td>\n",
       "      <td>-0.006584</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.000609</td>\n",
       "      <td>-0.054925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.067136</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.006206</td>\n",
       "      <td>0.063187</td>\n",
       "      <td>-0.042848</td>\n",
       "      <td>-0.095885</td>\n",
       "      <td>0.052322</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>0.059424</td>\n",
       "      <td>0.052770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>0.074401</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.085408</td>\n",
       "      <td>0.063187</td>\n",
       "      <td>0.014942</td>\n",
       "      <td>0.013091</td>\n",
       "      <td>0.015505</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.006209</td>\n",
       "      <td>0.085907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>-0.052738</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.000817</td>\n",
       "      <td>-0.026328</td>\n",
       "      <td>0.010815</td>\n",
       "      <td>0.007141</td>\n",
       "      <td>0.048640</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.035817</td>\n",
       "      <td>0.019633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>0.081666</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.006728</td>\n",
       "      <td>-0.004523</td>\n",
       "      <td>0.109883</td>\n",
       "      <td>0.117056</td>\n",
       "      <td>-0.032356</td>\n",
       "      <td>0.091875</td>\n",
       "      <td>0.054724</td>\n",
       "      <td>0.007207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>-0.005515</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.008883</td>\n",
       "      <td>-0.050428</td>\n",
       "      <td>0.025950</td>\n",
       "      <td>0.047224</td>\n",
       "      <td>-0.043401</td>\n",
       "      <td>0.071210</td>\n",
       "      <td>0.014823</td>\n",
       "      <td>0.003064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>-0.027310</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.080019</td>\n",
       "      <td>0.098763</td>\n",
       "      <td>-0.002945</td>\n",
       "      <td>0.018101</td>\n",
       "      <td>-0.017629</td>\n",
       "      <td>0.003312</td>\n",
       "      <td>-0.029528</td>\n",
       "      <td>0.036201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>-0.052738</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.071397</td>\n",
       "      <td>-0.074528</td>\n",
       "      <td>-0.015328</td>\n",
       "      <td>-0.001314</td>\n",
       "      <td>0.004460</td>\n",
       "      <td>-0.021412</td>\n",
       "      <td>-0.046879</td>\n",
       "      <td>0.003064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>0.009016</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.024529</td>\n",
       "      <td>-0.026328</td>\n",
       "      <td>0.098876</td>\n",
       "      <td>0.094196</td>\n",
       "      <td>0.070730</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.021394</td>\n",
       "      <td>0.007207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>-0.020045</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.054707</td>\n",
       "      <td>-0.053871</td>\n",
       "      <td>-0.066239</td>\n",
       "      <td>-0.057367</td>\n",
       "      <td>0.011824</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.074089</td>\n",
       "      <td>-0.005220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>0.023546</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.036385</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.001183</td>\n",
       "      <td>0.034698</td>\n",
       "      <td>-0.043401</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>-0.033249</td>\n",
       "      <td>0.061054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>0.038076</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.016428</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>0.039710</td>\n",
       "      <td>0.045032</td>\n",
       "      <td>-0.043401</td>\n",
       "      <td>0.071210</td>\n",
       "      <td>0.049769</td>\n",
       "      <td>0.015491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>-0.078165</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.077863</td>\n",
       "      <td>0.052858</td>\n",
       "      <td>0.078236</td>\n",
       "      <td>0.064447</td>\n",
       "      <td>0.026550</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.040672</td>\n",
       "      <td>-0.009362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>0.009016</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.039618</td>\n",
       "      <td>0.028758</td>\n",
       "      <td>0.038334</td>\n",
       "      <td>0.073529</td>\n",
       "      <td>-0.072854</td>\n",
       "      <td>0.108111</td>\n",
       "      <td>0.015567</td>\n",
       "      <td>-0.046641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>0.001751</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.011039</td>\n",
       "      <td>-0.019442</td>\n",
       "      <td>-0.016704</td>\n",
       "      <td>-0.003819</td>\n",
       "      <td>-0.047082</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.023775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>-0.078165</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.040696</td>\n",
       "      <td>-0.081414</td>\n",
       "      <td>-0.100638</td>\n",
       "      <td>-0.112795</td>\n",
       "      <td>0.022869</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>-0.020289</td>\n",
       "      <td>-0.050783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>0.030811</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.034229</td>\n",
       "      <td>0.043677</td>\n",
       "      <td>0.057597</td>\n",
       "      <td>0.068831</td>\n",
       "      <td>-0.032356</td>\n",
       "      <td>0.057557</td>\n",
       "      <td>0.035462</td>\n",
       "      <td>0.085907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>-0.034575</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.005650</td>\n",
       "      <td>-0.005671</td>\n",
       "      <td>-0.073119</td>\n",
       "      <td>-0.062691</td>\n",
       "      <td>-0.006584</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.045421</td>\n",
       "      <td>0.032059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>0.048974</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.088642</td>\n",
       "      <td>0.087287</td>\n",
       "      <td>0.035582</td>\n",
       "      <td>0.021546</td>\n",
       "      <td>-0.024993</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.066048</td>\n",
       "      <td>0.131470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>-0.041840</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.033151</td>\n",
       "      <td>-0.022885</td>\n",
       "      <td>0.046589</td>\n",
       "      <td>0.041587</td>\n",
       "      <td>0.056003</td>\n",
       "      <td>-0.024733</td>\n",
       "      <td>-0.025952</td>\n",
       "      <td>-0.038357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>-0.009147</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.056863</td>\n",
       "      <td>-0.050428</td>\n",
       "      <td>0.021822</td>\n",
       "      <td>0.045345</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>-0.009919</td>\n",
       "      <td>-0.017646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>0.070769</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.030996</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>-0.037344</td>\n",
       "      <td>-0.047034</td>\n",
       "      <td>0.033914</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.014956</td>\n",
       "      <td>-0.001078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>0.009016</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.055229</td>\n",
       "      <td>-0.005671</td>\n",
       "      <td>0.057597</td>\n",
       "      <td>0.044719</td>\n",
       "      <td>-0.002903</td>\n",
       "      <td>0.023239</td>\n",
       "      <td>0.055684</td>\n",
       "      <td>0.106617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>-0.027310</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.060097</td>\n",
       "      <td>-0.029771</td>\n",
       "      <td>0.046589</td>\n",
       "      <td>0.019980</td>\n",
       "      <td>0.122273</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.051401</td>\n",
       "      <td>-0.009362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>0.016281</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.001339</td>\n",
       "      <td>0.008101</td>\n",
       "      <td>0.005311</td>\n",
       "      <td>0.010899</td>\n",
       "      <td>0.030232</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.045421</td>\n",
       "      <td>0.032059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>-0.012780</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.023451</td>\n",
       "      <td>-0.040099</td>\n",
       "      <td>-0.016704</td>\n",
       "      <td>0.004636</td>\n",
       "      <td>-0.017629</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.038459</td>\n",
       "      <td>-0.038357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>-0.056370</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.074108</td>\n",
       "      <td>-0.050428</td>\n",
       "      <td>-0.024960</td>\n",
       "      <td>-0.047034</td>\n",
       "      <td>0.092820</td>\n",
       "      <td>-0.076395</td>\n",
       "      <td>-0.061177</td>\n",
       "      <td>-0.046641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>0.041708</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.019662</td>\n",
       "      <td>0.059744</td>\n",
       "      <td>-0.005697</td>\n",
       "      <td>-0.002566</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.031193</td>\n",
       "      <td>0.007207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>-0.005515</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.015906</td>\n",
       "      <td>-0.067642</td>\n",
       "      <td>0.049341</td>\n",
       "      <td>0.079165</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>-0.018118</td>\n",
       "      <td>0.044485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>0.041708</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>-0.015906</td>\n",
       "      <td>0.017282</td>\n",
       "      <td>-0.037344</td>\n",
       "      <td>-0.013840</td>\n",
       "      <td>-0.024993</td>\n",
       "      <td>-0.011080</td>\n",
       "      <td>-0.046879</td>\n",
       "      <td>0.015491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>-0.045472</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>0.039062</td>\n",
       "      <td>0.001215</td>\n",
       "      <td>0.016318</td>\n",
       "      <td>0.015283</td>\n",
       "      <td>-0.028674</td>\n",
       "      <td>0.026560</td>\n",
       "      <td>0.044528</td>\n",
       "      <td>-0.025930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>-0.045472</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.073030</td>\n",
       "      <td>-0.081414</td>\n",
       "      <td>0.083740</td>\n",
       "      <td>0.027809</td>\n",
       "      <td>0.173816</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.004220</td>\n",
       "      <td>0.003064</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>442 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0         1         2         3         4         5         6  \\\n",
       "0    0.038076  0.050680  0.061696  0.021872 -0.044223 -0.034821 -0.043401   \n",
       "1   -0.001882 -0.044642 -0.051474 -0.026328 -0.008449 -0.019163  0.074412   \n",
       "2    0.085299  0.050680  0.044451 -0.005671 -0.045599 -0.034194 -0.032356   \n",
       "3   -0.089063 -0.044642 -0.011595 -0.036656  0.012191  0.024991 -0.036038   \n",
       "4    0.005383 -0.044642 -0.036385  0.021872  0.003935  0.015596  0.008142   \n",
       "5   -0.092695 -0.044642 -0.040696 -0.019442 -0.068991 -0.079288  0.041277   \n",
       "6   -0.045472  0.050680 -0.047163 -0.015999 -0.040096 -0.024800  0.000779   \n",
       "7    0.063504  0.050680 -0.001895  0.066630  0.090620  0.108914  0.022869   \n",
       "8    0.041708  0.050680  0.061696 -0.040099 -0.013953  0.006202 -0.028674   \n",
       "9   -0.070900 -0.044642  0.039062 -0.033214 -0.012577 -0.034508 -0.024993   \n",
       "10  -0.096328 -0.044642 -0.083808  0.008101 -0.103389 -0.090561 -0.013948   \n",
       "11   0.027178  0.050680  0.017506 -0.033214 -0.007073  0.045972 -0.065491   \n",
       "12   0.016281 -0.044642 -0.028840 -0.009113 -0.004321 -0.009769  0.044958   \n",
       "13   0.005383  0.050680 -0.001895  0.008101 -0.004321 -0.015719 -0.002903   \n",
       "14   0.045341 -0.044642 -0.025607 -0.012556  0.017694 -0.000061  0.081775   \n",
       "15  -0.052738  0.050680 -0.018062  0.080401  0.089244  0.107662 -0.039719   \n",
       "16  -0.005515 -0.044642  0.042296  0.049415  0.024574 -0.023861  0.074412   \n",
       "17   0.070769  0.050680  0.012117  0.056301  0.034206  0.049416 -0.039719   \n",
       "18  -0.038207 -0.044642 -0.010517 -0.036656 -0.037344 -0.019476 -0.028674   \n",
       "19  -0.027310 -0.044642 -0.018062 -0.040099 -0.002945 -0.011335  0.037595   \n",
       "20  -0.049105 -0.044642 -0.056863 -0.043542 -0.045599 -0.043276  0.000779   \n",
       "21  -0.085430  0.050680 -0.022373  0.001215 -0.037344 -0.026366  0.015505   \n",
       "22  -0.085430 -0.044642 -0.004050 -0.009113 -0.002945  0.007767  0.022869   \n",
       "23   0.045341  0.050680  0.060618  0.031053  0.028702 -0.047347 -0.054446   \n",
       "24  -0.063635 -0.044642  0.035829 -0.022885 -0.030464 -0.018850 -0.006584   \n",
       "25  -0.067268  0.050680 -0.012673 -0.040099 -0.015328  0.004636 -0.058127   \n",
       "26  -0.107226 -0.044642 -0.077342 -0.026328 -0.089630 -0.096198  0.026550   \n",
       "27  -0.023677 -0.044642  0.059541 -0.040099 -0.042848 -0.043589  0.011824   \n",
       "28   0.052606 -0.044642 -0.021295 -0.074528 -0.040096 -0.037639 -0.006584   \n",
       "29   0.067136  0.050680 -0.006206  0.063187 -0.042848 -0.095885  0.052322   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "412  0.074401 -0.044642  0.085408  0.063187  0.014942  0.013091  0.015505   \n",
       "413 -0.052738 -0.044642 -0.000817 -0.026328  0.010815  0.007141  0.048640   \n",
       "414  0.081666  0.050680  0.006728 -0.004523  0.109883  0.117056 -0.032356   \n",
       "415 -0.005515 -0.044642  0.008883 -0.050428  0.025950  0.047224 -0.043401   \n",
       "416 -0.027310 -0.044642  0.080019  0.098763 -0.002945  0.018101 -0.017629   \n",
       "417 -0.052738 -0.044642  0.071397 -0.074528 -0.015328 -0.001314  0.004460   \n",
       "418  0.009016 -0.044642 -0.024529 -0.026328  0.098876  0.094196  0.070730   \n",
       "419 -0.020045 -0.044642 -0.054707 -0.053871 -0.066239 -0.057367  0.011824   \n",
       "420  0.023546 -0.044642 -0.036385  0.000068  0.001183  0.034698 -0.043401   \n",
       "421  0.038076  0.050680  0.016428  0.021872  0.039710  0.045032 -0.043401   \n",
       "422 -0.078165  0.050680  0.077863  0.052858  0.078236  0.064447  0.026550   \n",
       "423  0.009016  0.050680 -0.039618  0.028758  0.038334  0.073529 -0.072854   \n",
       "424  0.001751  0.050680  0.011039 -0.019442 -0.016704 -0.003819 -0.047082   \n",
       "425 -0.078165 -0.044642 -0.040696 -0.081414 -0.100638 -0.112795  0.022869   \n",
       "426  0.030811  0.050680 -0.034229  0.043677  0.057597  0.068831 -0.032356   \n",
       "427 -0.034575  0.050680  0.005650 -0.005671 -0.073119 -0.062691 -0.006584   \n",
       "428  0.048974  0.050680  0.088642  0.087287  0.035582  0.021546 -0.024993   \n",
       "429 -0.041840 -0.044642 -0.033151 -0.022885  0.046589  0.041587  0.056003   \n",
       "430 -0.009147 -0.044642 -0.056863 -0.050428  0.021822  0.045345 -0.028674   \n",
       "431  0.070769  0.050680 -0.030996  0.021872 -0.037344 -0.047034  0.033914   \n",
       "432  0.009016 -0.044642  0.055229 -0.005671  0.057597  0.044719 -0.002903   \n",
       "433 -0.027310 -0.044642 -0.060097 -0.029771  0.046589  0.019980  0.122273   \n",
       "434  0.016281 -0.044642  0.001339  0.008101  0.005311  0.010899  0.030232   \n",
       "435 -0.012780 -0.044642 -0.023451 -0.040099 -0.016704  0.004636 -0.017629   \n",
       "436 -0.056370 -0.044642 -0.074108 -0.050428 -0.024960 -0.047034  0.092820   \n",
       "437  0.041708  0.050680  0.019662  0.059744 -0.005697 -0.002566 -0.028674   \n",
       "438 -0.005515  0.050680 -0.015906 -0.067642  0.049341  0.079165 -0.028674   \n",
       "439  0.041708  0.050680 -0.015906  0.017282 -0.037344 -0.013840 -0.024993   \n",
       "440 -0.045472 -0.044642  0.039062  0.001215  0.016318  0.015283 -0.028674   \n",
       "441 -0.045472 -0.044642 -0.073030 -0.081414  0.083740  0.027809  0.173816   \n",
       "\n",
       "            7         8         9  \n",
       "0   -0.002592  0.019908 -0.017646  \n",
       "1   -0.039493 -0.068330 -0.092204  \n",
       "2   -0.002592  0.002864 -0.025930  \n",
       "3    0.034309  0.022692 -0.009362  \n",
       "4   -0.002592 -0.031991 -0.046641  \n",
       "5   -0.076395 -0.041180 -0.096346  \n",
       "6   -0.039493 -0.062913 -0.038357  \n",
       "7    0.017703 -0.035817  0.003064  \n",
       "8   -0.002592 -0.014956  0.011349  \n",
       "9   -0.002592  0.067736 -0.013504  \n",
       "10  -0.076395 -0.062913 -0.034215  \n",
       "11   0.071210 -0.096433 -0.059067  \n",
       "12  -0.039493 -0.030751 -0.042499  \n",
       "13  -0.002592  0.038393 -0.013504  \n",
       "14  -0.039493 -0.031991 -0.075636  \n",
       "15   0.108111  0.036056 -0.042499  \n",
       "16  -0.039493  0.052280  0.027917  \n",
       "17   0.034309  0.027368 -0.001078  \n",
       "18  -0.002592 -0.018118 -0.017646  \n",
       "19  -0.039493 -0.008944 -0.054925  \n",
       "20  -0.039493 -0.011901  0.015491  \n",
       "21  -0.039493 -0.072128 -0.017646  \n",
       "22  -0.039493 -0.061177 -0.013504  \n",
       "23   0.071210  0.133599  0.135612  \n",
       "24  -0.002592 -0.025952 -0.054925  \n",
       "25   0.034309  0.019199 -0.034215  \n",
       "26  -0.076395 -0.042572 -0.005220  \n",
       "27  -0.039493 -0.015998  0.040343  \n",
       "28  -0.039493 -0.000609 -0.054925  \n",
       "29  -0.076395  0.059424  0.052770  \n",
       "..        ...       ...       ...  \n",
       "412 -0.002592  0.006209  0.085907  \n",
       "413 -0.039493 -0.035817  0.019633  \n",
       "414  0.091875  0.054724  0.007207  \n",
       "415  0.071210  0.014823  0.003064  \n",
       "416  0.003312 -0.029528  0.036201  \n",
       "417 -0.021412 -0.046879  0.003064  \n",
       "418 -0.002592 -0.021394  0.007207  \n",
       "419 -0.039493 -0.074089 -0.005220  \n",
       "420  0.034309 -0.033249  0.061054  \n",
       "421  0.071210  0.049769  0.015491  \n",
       "422 -0.002592  0.040672 -0.009362  \n",
       "423  0.108111  0.015567 -0.046641  \n",
       "424  0.034309  0.024053  0.023775  \n",
       "425 -0.076395 -0.020289 -0.050783  \n",
       "426  0.057557  0.035462  0.085907  \n",
       "427 -0.039493 -0.045421  0.032059  \n",
       "428  0.034309  0.066048  0.131470  \n",
       "429 -0.024733 -0.025952 -0.038357  \n",
       "430  0.034309 -0.009919 -0.017646  \n",
       "431 -0.039493 -0.014956 -0.001078  \n",
       "432  0.023239  0.055684  0.106617  \n",
       "433 -0.039493 -0.051401 -0.009362  \n",
       "434 -0.039493 -0.045421  0.032059  \n",
       "435 -0.002592 -0.038459 -0.038357  \n",
       "436 -0.076395 -0.061177 -0.046641  \n",
       "437 -0.002592  0.031193  0.007207  \n",
       "438  0.034309 -0.018118  0.044485  \n",
       "439 -0.011080 -0.046879  0.015491  \n",
       "440  0.026560  0.044528 -0.025930  \n",
       "441 -0.039493 -0.004220  0.003064  \n",
       "\n",
       "[442 rows x 10 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(diab[\"data\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 人工データ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- 直線回帰用データ\n",
    "- サンプル数、説明変数の次元、ノイズ(%単位)を指定"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1182713c8>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "reg=datasets.make_regression(100,1,noise=2)\n",
    "plt.scatter(reg[0],reg[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a004b202d46b4dd8bfb9ee7f4bff1071",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=100, description='n', max=1000, min=100, step=100), IntSlider(value=0, d…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(n=(100,1000,100),noise=(0,100,1))\n",
    "def mkreg(n=100,noise=0):\n",
    "    reg=datasets.make_regression(n,1,noise=noise)\n",
    "    plt.scatter(reg[0],reg[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "- こんなのもあります(noiseはガウシアンノイズのSD値)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x118436780>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "moon=datasets.make_moons(n_samples=100,noise=0.1)\n",
    "moon_dat=pd.DataFrame(moon[0])\n",
    "moon_dat[\"label\"]=moon[1]\n",
    "plt.scatter(moon_dat[moon_dat.label==0][0],moon_dat[moon_dat.label==0][1],marker=\"o\",color=\"blue\")\n",
    "plt.scatter(moon_dat[moon_dat.label==1][0],moon_dat[moon_dat.label==1][1],marker=\"^\",color=\"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d97e7bc51abe4cf5b7411470cda5501d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=100, description='n', max=1000, min=100, step=100), FloatSlider(value=0.…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(n=(100,1000,100),noise=(0,1,0.01))\n",
    "def mkreg(n=100,noise=0):\n",
    "    if noise==0:noise=None \n",
    "    moon=datasets.make_moons(n_samples=n,noise=noise)\n",
    "    moon_dat=pd.DataFrame(moon[0])\n",
    "    moon_dat[\"label\"]=moon[1]\n",
    "    plt.scatter(moon_dat[moon_dat.label==0][0],moon_dat[moon_dat.label==0][1],marker=\"o\")\n",
    "    plt.scatter(moon_dat[moon_dat.label==1][0],moon_dat[moon_dat.label==1][1],marker=\"x\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 終わり\n",
    "@y__sama"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "toc": {
   "toc_cell": true,
   "toc_number_sections": true,
   "toc_threshold": 6,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}