linear regression on diabetes dataset.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn.datasets as datasets\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   y =XB+c+e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "diabetes = datasets.load_diabetes() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['age', 'sex', 'bmi', 'bp', 's1', 's2', 's3', 's4', 's5', 's6']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diabetes.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame(diabetes.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "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",
       "    }\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",
       "    </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",
       "  </tbody>\n",
       "</table>\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",
       "\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  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216, got 192\n",
      "  return f(*args, **kwds)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(diabetes.data, diabetes.target, test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None,\n",
       "         normalize=False)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.33222203269065154"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ -35.55683674, -243.1692265 ,  562.75404632,  305.47203008,\n",
       "       -662.78772128,  324.27527477,   24.78193291,  170.33056502,\n",
       "        731.67810787,   43.02846824])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.coef_  #beta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "152.5381335195406"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.intercept_ # c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "ypred=model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plt.plot(y_test, ypred,'.')\n",
    "x = np.linspace(0, 330, 100)\n",
    "y = x\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred=model.predict([[0.038076,0.050680,0.061696,0.021872,-0.044223,-0.034821,-0.043401,-0.002592,0.019908,-0.017646]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([210.57019487])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=pd.DataFrame(diabetes.target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['out']=diabetes.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>out</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",
       "      <td>151.0</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",
       "      <td>75.0</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",
       "      <td>141.0</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",
       "      <td>206.0</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",
       "      <td>135.0</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",
       "      <td>97.0</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",
       "      <td>138.0</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",
       "      <td>63.0</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",
       "      <td>110.0</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",
       "      <td>310.0</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",
       "      <td>101.0</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",
       "      <td>69.0</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",
       "      <td>179.0</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",
       "      <td>185.0</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",
       "      <td>118.0</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",
       "      <td>171.0</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",
       "      <td>166.0</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",
       "      <td>144.0</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",
       "      <td>97.0</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",
       "      <td>168.0</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",
       "      <td>68.0</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",
       "      <td>49.0</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",
       "      <td>68.0</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",
       "      <td>245.0</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",
       "      <td>184.0</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",
       "      <td>202.0</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",
       "      <td>137.0</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",
       "      <td>85.0</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",
       "      <td>131.0</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",
       "      <td>283.0</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",
       "      <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",
       "      <td>261.0</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",
       "      <td>113.0</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",
       "      <td>131.0</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",
       "      <td>174.0</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",
       "      <td>257.0</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",
       "      <td>55.0</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",
       "      <td>84.0</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",
       "      <td>42.0</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",
       "      <td>146.0</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",
       "      <td>212.0</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",
       "      <td>233.0</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",
       "      <td>91.0</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",
       "      <td>111.0</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",
       "      <td>152.0</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",
       "      <td>120.0</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",
       "      <td>67.0</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",
       "      <td>310.0</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",
       "      <td>94.0</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",
       "      <td>183.0</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",
       "      <td>66.0</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",
       "      <td>173.0</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",
       "      <td>72.0</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",
       "      <td>49.0</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",
       "      <td>64.0</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",
       "      <td>48.0</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",
       "      <td>178.0</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",
       "      <td>104.0</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",
       "      <td>132.0</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",
       "      <td>220.0</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",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>442 rows × 11 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    out  \n",
       "0   -0.002592  0.019908 -0.017646  151.0  \n",
       "1   -0.039493 -0.068330 -0.092204   75.0  \n",
       "2   -0.002592  0.002864 -0.025930  141.0  \n",
       "3    0.034309  0.022692 -0.009362  206.0  \n",
       "4   -0.002592 -0.031991 -0.046641  135.0  \n",
       "5   -0.076395 -0.041180 -0.096346   97.0  \n",
       "6   -0.039493 -0.062913 -0.038357  138.0  \n",
       "7    0.017703 -0.035817  0.003064   63.0  \n",
       "8   -0.002592 -0.014956  0.011349  110.0  \n",
       "9   -0.002592  0.067736 -0.013504  310.0  \n",
       "10  -0.076395 -0.062913 -0.034215  101.0  \n",
       "11   0.071210 -0.096433 -0.059067   69.0  \n",
       "12  -0.039493 -0.030751 -0.042499  179.0  \n",
       "13  -0.002592  0.038393 -0.013504  185.0  \n",
       "14  -0.039493 -0.031991 -0.075636  118.0  \n",
       "15   0.108111  0.036056 -0.042499  171.0  \n",
       "16  -0.039493  0.052280  0.027917  166.0  \n",
       "17   0.034309  0.027368 -0.001078  144.0  \n",
       "18  -0.002592 -0.018118 -0.017646   97.0  \n",
       "19  -0.039493 -0.008944 -0.054925  168.0  \n",
       "20  -0.039493 -0.011901  0.015491   68.0  \n",
       "21  -0.039493 -0.072128 -0.017646   49.0  \n",
       "22  -0.039493 -0.061177 -0.013504   68.0  \n",
       "23   0.071210  0.133599  0.135612  245.0  \n",
       "24  -0.002592 -0.025952 -0.054925  184.0  \n",
       "25   0.034309  0.019199 -0.034215  202.0  \n",
       "26  -0.076395 -0.042572 -0.005220  137.0  \n",
       "27  -0.039493 -0.015998  0.040343   85.0  \n",
       "28  -0.039493 -0.000609 -0.054925  131.0  \n",
       "29  -0.076395  0.059424  0.052770  283.0  \n",
       "..        ...       ...       ...    ...  \n",
       "412 -0.002592  0.006209  0.085907  261.0  \n",
       "413 -0.039493 -0.035817  0.019633  113.0  \n",
       "414  0.091875  0.054724  0.007207  131.0  \n",
       "415  0.071210  0.014823  0.003064  174.0  \n",
       "416  0.003312 -0.029528  0.036201  257.0  \n",
       "417 -0.021412 -0.046879  0.003064   55.0  \n",
       "418 -0.002592 -0.021394  0.007207   84.0  \n",
       "419 -0.039493 -0.074089 -0.005220   42.0  \n",
       "420  0.034309 -0.033249  0.061054  146.0  \n",
       "421  0.071210  0.049769  0.015491  212.0  \n",
       "422 -0.002592  0.040672 -0.009362  233.0  \n",
       "423  0.108111  0.015567 -0.046641   91.0  \n",
       "424  0.034309  0.024053  0.023775  111.0  \n",
       "425 -0.076395 -0.020289 -0.050783  152.0  \n",
       "426  0.057557  0.035462  0.085907  120.0  \n",
       "427 -0.039493 -0.045421  0.032059   67.0  \n",
       "428  0.034309  0.066048  0.131470  310.0  \n",
       "429 -0.024733 -0.025952 -0.038357   94.0  \n",
       "430  0.034309 -0.009919 -0.017646  183.0  \n",
       "431 -0.039493 -0.014956 -0.001078   66.0  \n",
       "432  0.023239  0.055684  0.106617  173.0  \n",
       "433 -0.039493 -0.051401 -0.009362   72.0  \n",
       "434 -0.039493 -0.045421  0.032059   49.0  \n",
       "435 -0.002592 -0.038459 -0.038357   64.0  \n",
       "436 -0.076395 -0.061177 -0.046641   48.0  \n",
       "437 -0.002592  0.031193  0.007207  178.0  \n",
       "438  0.034309 -0.018118  0.044485  104.0  \n",
       "439 -0.011080 -0.046879  0.015491  132.0  \n",
       "440  0.026560  0.044528 -0.025930  220.0  \n",
       "441 -0.039493 -0.004220  0.003064   57.0  \n",
       "\n",
       "[442 rows x 11 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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