Mnist Digits.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_digits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "digits=load_digits()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'target', 'target_names', 'images', 'DESCR'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "digits.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "digits['images']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "digits['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_digits=pd.DataFrame(digits['data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</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",
       "      <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>1767</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1768</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1769</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1770</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1771</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1772</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1773</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1774</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1775</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1776</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1777</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1778</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1779</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1780</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1781</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1782</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1783</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1784</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1785</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1786</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1787</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1788</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1789</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1791</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1792</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1793</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1794</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1797 rows × 64 columns</p>\n",
       "</div>"
      ],
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       "...   ...  ...   ...   ...   ...   ...   ...  ...  ...   ... ...    ...  ...   \n",
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       "\n",
       "       56   57    58    59    60    61    62   63  \n",
       "0     0.0  0.0   6.0  13.0  10.0   0.0   0.0  0.0  \n",
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       "2     0.0  0.0   0.0   3.0  11.0  16.0   9.0  0.0  \n",
       "3     0.0  0.0   7.0  13.0  13.0   9.0   0.0  0.0  \n",
       "4     0.0  0.0   0.0   2.0  16.0   4.0   0.0  0.0  \n",
       "5     0.0  0.0   9.0  16.0  16.0  10.0   0.0  0.0  \n",
       "6     0.0  0.0   1.0   9.0  15.0  11.0   3.0  0.0  \n",
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       "8     0.0  0.0  11.0  16.0  15.0  11.0   1.0  0.0  \n",
       "9     0.0  0.0   9.0  12.0  13.0   3.0   0.0  0.0  \n",
       "10    0.0  0.0   1.0  10.0  13.0   3.0   0.0  0.0  \n",
       "11    0.0  0.0   0.0   1.0  13.0  16.0   1.0  0.0  \n",
       "12    0.0  0.0   3.0  11.0   8.0  13.0  12.0  4.0  \n",
       "13    0.0  2.0  12.0  12.0  13.0  11.0   0.0  0.0  \n",
       "14    0.0  0.0   0.0  10.0  15.0   4.0   0.0  0.0  \n",
       "15    0.0  4.0  15.0  16.0   2.0   0.0   0.0  0.0  \n",
       "16    0.0  0.0   0.0   7.0  15.0  16.0  11.0  0.0  \n",
       "17    0.0  0.0   0.0  11.0   9.0   0.0   0.0  0.0  \n",
       "18    0.0  0.0  11.0  14.0   5.0   0.0   0.0  0.0  \n",
       "19    0.0  0.0   7.0  16.0  16.0  13.0  11.0  1.0  \n",
       "20    0.0  0.0   2.0  12.0  13.0   4.0   0.0  0.0  \n",
       "21    0.0  0.0   0.0   2.0  12.0  15.0   4.0  0.0  \n",
       "22    0.0  0.0   7.0  12.0  12.0  12.0  13.0  1.0  \n",
       "23    0.0  0.0  14.0  15.0  11.0   2.0   0.0  0.0  \n",
       "24    0.0  0.0   0.0   0.0  12.0   8.0   0.0  0.0  \n",
       "25    0.0  0.0  11.0  14.0   9.0   0.0   0.0  0.0  \n",
       "26    0.0  0.0   3.0  12.0  15.0  14.0   7.0  0.0  \n",
       "27    0.0  0.0   0.0  12.0  13.0   1.0   0.0  0.0  \n",
       "28    0.0  0.0   8.0  14.0   7.0   1.0   0.0  0.0  \n",
       "29    0.0  0.0   7.0  12.0  12.0  12.0  11.0  0.0  \n",
       "...   ...  ...   ...   ...   ...   ...   ...  ...  \n",
       "1767  0.0  0.0   0.0   3.0  16.0   7.0   0.0  0.0  \n",
       "1768  0.0  0.0   4.0  15.0  16.0   8.0   1.0  0.0  \n",
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       "1778  0.0  0.0   0.0   0.0  15.0   7.0   0.0  0.0  \n",
       "1779  0.0  0.0   3.0  12.0   0.0   0.0   0.0  0.0  \n",
       "1780  0.0  4.0  15.0  13.0  12.0  11.0   1.0  0.0  \n",
       "1781  0.0  1.0  11.0  16.0  15.0   6.0   0.0  0.0  \n",
       "1782  0.0  0.0   9.0  13.0  11.0  10.0   9.0  0.0  \n",
       "1783  0.0  0.0  10.0  13.0  10.0   6.0   2.0  0.0  \n",
       "1784  0.0  0.0   0.0  12.0  14.0   4.0   0.0  0.0  \n",
       "1785  0.0  0.0  10.0  15.0   2.0   0.0   0.0  0.0  \n",
       "1786  0.0  0.0   4.0  13.0  15.0   9.0   0.0  0.0  \n",
       "1787  0.0  0.0   6.0  13.0  10.0   4.0   0.0  0.0  \n",
       "1788  0.0  0.0   0.0   0.0  14.0   9.0   0.0  0.0  \n",
       "1789  0.0  0.0  10.0  16.0  10.0   1.0   0.0  0.0  \n",
       "1790  0.0  0.0   6.0  12.0  12.0   3.0   0.0  0.0  \n",
       "1791  0.0  0.0   0.0   1.0  16.0   4.0   0.0  0.0  \n",
       "1792  0.0  0.0   2.0  14.0  15.0   9.0   0.0  0.0  \n",
       "1793  0.0  0.0   6.0  16.0  14.0   6.0   0.0  0.0  \n",
       "1794  0.0  0.0   2.0   9.0  13.0   6.0   0.0  0.0  \n",
       "1795  0.0  0.0   5.0  12.0  16.0  12.0   0.0  0.0  \n",
       "1796  0.0  1.0   8.0  12.0  14.0  12.0   1.0  0.0  \n",
       "\n",
       "[1797 rows x 64 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_digits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "images_and_labels = list(zip(digits.images, digits.target))\n",
    "n_samples = len(digits.images)\n",
    "data = digits.images.reshape((n_samples, -1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for index, (image, label) in enumerate(images_and_labels[:4]):\n",
    "    plt.subplot(2, 4, index + 1)\n",
    "    plt.axis('off')\n",
    "    plt.imshow(image, cmap=plt.cm.gray_r, interpolation='nearest')\n",
    "    plt.title('Training: %i' % label)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1797"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_samples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.,  0.,  5., ...,  0.,  0.,  0.],\n",
       "       [ 0.,  0.,  0., ..., 10.,  0.,  0.],\n",
       "       [ 0.,  0.,  0., ..., 16.,  9.,  0.],\n",
       "       ...,\n",
       "       [ 0.,  0.,  1., ...,  6.,  0.,  0.],\n",
       "       [ 0.,  0.,  2., ..., 12.,  0.,  0.],\n",
       "       [ 0.,  0., 10., ..., 12.,  1.,  0.]])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from sklearn.cross_validation import train_test_split\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=data\n",
    "y=digits.target\n",
    "\n",
    "#X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=0)\n",
    "X_train=X[:n_samples // 2]\n",
    "y_train=y[:n_samples // 2]\n",
    "X_test=X[n_samples//2:]\n",
    "y_test=y[n_samples//2:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing SVC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "from sklearn.grid_search import GridSearchCV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "#classifier = SVC(gamma = 0.001)\n",
    "param_grid={'C':[0.1,1,10,100,1000],'gamma':[1,0.1,0.01,0.001,0.0001]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "#classifier.fit(X_train,y_train)\n",
    "grid=GridSearchCV(SVC(),param_grid,verbose=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 3 folds for each of 25 candidates, totalling 75 fits\n",
      "[CV] C=0.1, gamma=1 ..................................................\n",
      "[CV] ......................... C=0.1, gamma=1, score=0.102310 -   0.3s\n",
      "[CV] C=0.1, gamma=1 ..................................................\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.3s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] ......................... C=0.1, gamma=1, score=0.384615 -   0.3s\n",
      "[CV] C=0.1, gamma=1 ..................................................\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done   2 out of   2 | elapsed:    0.8s remaining:    0.0s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] ......................... C=0.1, gamma=1, score=0.101351 -   0.3s\n",
      "[CV] C=0.1, gamma=0.1 ................................................\n",
      "[CV] ....................... C=0.1, gamma=0.1, score=0.102310 -   0.2s\n",
      "[CV] C=0.1, gamma=0.1 ................................................\n",
      "[CV] ....................... C=0.1, gamma=0.1, score=0.107023 -   0.2s\n",
      "[CV] C=0.1, gamma=0.1 ................................................\n",
      "[CV] ....................... C=0.1, gamma=0.1, score=0.101351 -   0.2s\n",
      "[CV] C=0.1, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=0.1, gamma=0.01, score=0.102310 -   0.2s\n",
      "[CV] C=0.1, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=0.1, gamma=0.01, score=0.314381 -   0.2s\n",
      "[CV] C=0.1, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=0.1, gamma=0.01, score=0.101351 -   0.2s\n",
      "[CV] C=0.1, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=0.1, gamma=0.001, score=0.861386 -   0.1s\n",
      "[CV] C=0.1, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=0.1, gamma=0.001, score=0.869565 -   0.1s\n",
      "[CV] C=0.1, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=0.1, gamma=0.001, score=0.878378 -   0.1s\n",
      "[CV] C=0.1, gamma=0.0001 .............................................\n",
      "[CV] .................... C=0.1, gamma=0.0001, score=0.623762 -   0.2s\n",
      "[CV] C=0.1, gamma=0.0001 .............................................\n",
      "[CV] .................... C=0.1, gamma=0.0001, score=0.605351 -   0.2s\n",
      "[CV] C=0.1, gamma=0.0001 .............................................\n",
      "[CV] .................... C=0.1, gamma=0.0001, score=0.685811 -   0.2s\n",
      "[CV] C=1, gamma=1 ....................................................\n",
      "[CV] ........................... C=1, gamma=1, score=0.102310 -   0.4s\n",
      "[CV] C=1, gamma=1 ....................................................\n",
      "[CV] ........................... C=1, gamma=1, score=0.384615 -   0.4s\n",
      "[CV] C=1, gamma=1 ....................................................\n",
      "[CV] ........................... C=1, gamma=1, score=0.101351 -   0.3s\n",
      "[CV] C=1, gamma=0.1 ..................................................\n",
      "[CV] ......................... C=1, gamma=0.1, score=0.102310 -   0.2s\n",
      "[CV] C=1, gamma=0.1 ..................................................\n",
      "[CV] ......................... C=1, gamma=0.1, score=0.107023 -   0.2s\n",
      "[CV] C=1, gamma=0.1 ..................................................\n",
      "[CV] ......................... C=1, gamma=0.1, score=0.101351 -   0.2s\n",
      "[CV] C=1, gamma=0.01 .................................................\n",
      "[CV] ........................ C=1, gamma=0.01, score=0.531353 -   0.2s\n",
      "[CV] C=1, gamma=0.01 .................................................\n",
      "[CV] ........................ C=1, gamma=0.01, score=0.705686 -   0.2s\n",
      "[CV] C=1, gamma=0.01 .................................................\n",
      "[CV] ........................ C=1, gamma=0.01, score=0.621622 -   0.2s\n",
      "[CV] C=1, gamma=0.001 ................................................\n",
      "[CV] ....................... C=1, gamma=0.001, score=0.910891 -   0.0s\n",
      "[CV] C=1, gamma=0.001 ................................................\n",
      "[CV] ....................... C=1, gamma=0.001, score=0.933110 -   0.1s\n",
      "[CV] C=1, gamma=0.001 ................................................\n",
      "[CV] ....................... C=1, gamma=0.001, score=0.959459 -   0.0s\n",
      "[CV] C=1, gamma=0.0001 ...............................................\n",
      "[CV] ...................... C=1, gamma=0.0001, score=0.864686 -   0.0s\n",
      "[CV] C=1, gamma=0.0001 ...............................................\n",
      "[CV] ...................... C=1, gamma=0.0001, score=0.906355 -   0.0s\n",
      "[CV] C=1, gamma=0.0001 ...............................................\n",
      "[CV] ...................... C=1, gamma=0.0001, score=0.895270 -   0.0s\n",
      "[CV] C=10, gamma=1 ...................................................\n",
      "[CV] .......................... C=10, gamma=1, score=0.102310 -   0.3s\n",
      "[CV] C=10, gamma=1 ...................................................\n",
      "[CV] .......................... C=10, gamma=1, score=0.384615 -   0.3s\n",
      "[CV] C=10, gamma=1 ...................................................\n",
      "[CV] .......................... C=10, gamma=1, score=0.101351 -   0.3s\n",
      "[CV] C=10, gamma=0.1 .................................................\n",
      "[CV] ........................ C=10, gamma=0.1, score=0.102310 -   0.2s\n",
      "[CV] C=10, gamma=0.1 .................................................\n",
      "[CV] ........................ C=10, gamma=0.1, score=0.113712 -   0.2s\n",
      "[CV] C=10, gamma=0.1 .................................................\n",
      "[CV] ........................ C=10, gamma=0.1, score=0.101351 -   0.2s\n",
      "[CV] C=10, gamma=0.01 ................................................\n",
      "[CV] ....................... C=10, gamma=0.01, score=0.541254 -   0.2s\n",
      "[CV] C=10, gamma=0.01 ................................................\n",
      "[CV] ....................... C=10, gamma=0.01, score=0.725753 -   0.2s\n",
      "[CV] C=10, gamma=0.01 ................................................\n",
      "[CV] ....................... C=10, gamma=0.01, score=0.638514 -   0.2s\n",
      "[CV] C=10, gamma=0.001 ...............................................\n",
      "[CV] ...................... C=10, gamma=0.001, score=0.920792 -   0.0s\n",
      "[CV] C=10, gamma=0.001 ...............................................\n",
      "[CV] ...................... C=10, gamma=0.001, score=0.939799 -   0.0s\n",
      "[CV] C=10, gamma=0.001 ...............................................\n",
      "[CV] ...................... C=10, gamma=0.001, score=0.966216 -   0.0s\n",
      "[CV] C=10, gamma=0.0001 ..............................................\n",
      "[CV] ..................... C=10, gamma=0.0001, score=0.907591 -   0.0s\n",
      "[CV] C=10, gamma=0.0001 ..............................................\n",
      "[CV] ..................... C=10, gamma=0.0001, score=0.929766 -   0.0s\n",
      "[CV] C=10, gamma=0.0001 ..............................................\n",
      "[CV] ..................... C=10, gamma=0.0001, score=0.949324 -   0.0s\n",
      "[CV] C=100, gamma=1 ..................................................\n",
      "[CV] ......................... C=100, gamma=1, score=0.102310 -   0.3s\n",
      "[CV] C=100, gamma=1 ..................................................\n",
      "[CV] ......................... C=100, gamma=1, score=0.384615 -   0.4s\n",
      "[CV] C=100, gamma=1 ..................................................\n",
      "[CV] ......................... C=100, gamma=1, score=0.101351 -   0.4s\n",
      "[CV] C=100, gamma=0.1 ................................................\n",
      "[CV] ....................... C=100, gamma=0.1, score=0.102310 -   0.2s\n",
      "[CV] C=100, gamma=0.1 ................................................\n",
      "[CV] ....................... C=100, gamma=0.1, score=0.113712 -   0.2s\n",
      "[CV] C=100, gamma=0.1 ................................................\n",
      "[CV] ....................... C=100, gamma=0.1, score=0.101351 -   0.2s\n",
      "[CV] C=100, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=100, gamma=0.01, score=0.541254 -   0.2s\n",
      "[CV] C=100, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=100, gamma=0.01, score=0.725753 -   0.2s\n",
      "[CV] C=100, gamma=0.01 ...............................................\n",
      "[CV] ...................... C=100, gamma=0.01, score=0.638514 -   0.2s\n",
      "[CV] C=100, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=100, gamma=0.001, score=0.920792 -   0.0s\n",
      "[CV] C=100, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=100, gamma=0.001, score=0.939799 -   0.1s\n",
      "[CV] C=100, gamma=0.001 ..............................................\n",
      "[CV] ..................... C=100, gamma=0.001, score=0.966216 -   0.1s\n",
      "[CV] C=100, gamma=0.0001 .............................................\n",
      "[CV] .................... C=100, gamma=0.0001, score=0.920792 -   0.0s\n",
      "[CV] C=100, gamma=0.0001 .............................................\n",
      "[CV] .................... C=100, gamma=0.0001, score=0.923077 -   0.0s\n",
      "[CV] C=100, gamma=0.0001 .............................................\n",
      "[CV] .................... C=100, gamma=0.0001, score=0.962838 -   0.0s\n",
      "[CV] C=1000, gamma=1 .................................................\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CV] ........................ C=1000, gamma=1, score=0.102310 -   0.3s\n",
      "[CV] C=1000, gamma=1 .................................................\n",
      "[CV] ........................ C=1000, gamma=1, score=0.384615 -   0.3s\n",
      "[CV] C=1000, gamma=1 .................................................\n",
      "[CV] ........................ C=1000, gamma=1, score=0.101351 -   0.3s\n",
      "[CV] C=1000, gamma=0.1 ...............................................\n",
      "[CV] ...................... C=1000, gamma=0.1, score=0.102310 -   0.1s\n",
      "[CV] C=1000, gamma=0.1 ...............................................\n",
      "[CV] ...................... C=1000, gamma=0.1, score=0.113712 -   0.2s\n",
      "[CV] C=1000, gamma=0.1 ...............................................\n",
      "[CV] ...................... C=1000, gamma=0.1, score=0.101351 -   0.2s\n",
      "[CV] C=1000, gamma=0.01 ..............................................\n",
      "[CV] ..................... C=1000, gamma=0.01, score=0.541254 -   0.2s\n",
      "[CV] C=1000, gamma=0.01 ..............................................\n",
      "[CV] ..................... C=1000, gamma=0.01, score=0.725753 -   0.2s\n",
      "[CV] C=1000, gamma=0.01 ..............................................\n",
      "[CV] ..................... C=1000, gamma=0.01, score=0.638514 -   0.2s\n",
      "[CV] C=1000, gamma=0.001 .............................................\n",
      "[CV] .................... C=1000, gamma=0.001, score=0.920792 -   0.0s\n",
      "[CV] C=1000, gamma=0.001 .............................................\n",
      "[CV] .................... C=1000, gamma=0.001, score=0.939799 -   0.0s\n",
      "[CV] C=1000, gamma=0.001 .............................................\n",
      "[CV] .................... C=1000, gamma=0.001, score=0.966216 -   0.0s\n",
      "[CV] C=1000, gamma=0.0001 ............................................\n",
      "[CV] ................... C=1000, gamma=0.0001, score=0.920792 -   0.0s\n",
      "[CV] C=1000, gamma=0.0001 ............................................\n",
      "[CV] ................... C=1000, gamma=0.0001, score=0.923077 -   0.0s\n",
      "[CV] C=1000, gamma=0.0001 ............................................\n",
      "[CV] ................... C=1000, gamma=0.0001, score=0.962838 -   0.0s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Done  75 out of  75 | elapsed:   20.2s finished\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=None, error_score='raise',\n",
       "       estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape='ovr', degree=3, gamma='auto', kernel='rbf',\n",
       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
       "  tol=0.001, verbose=False),\n",
       "       fit_params={}, iid=True, n_jobs=1,\n",
       "       param_grid={'C': [0.1, 1, 10, 100, 1000], 'gamma': [1, 0.1, 0.01, 0.001, 0.0001]},\n",
       "       pre_dispatch='2*n_jobs', refit=True, scoring=None, verbose=3)"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'C': 10, 'gamma': 0.001}"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_pred=grid.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report,confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[87  0  0  0  1  0  0  0  0  0]\n",
      " [ 0 87  1  0  0  0  0  0  2  1]\n",
      " [ 0  0 85  1  0  0  0  0  0  0]\n",
      " [ 0  0  0 82  0  3  0  2  4  0]\n",
      " [ 0  0  0  0 88  0  0  0  0  4]\n",
      " [ 0  0  0  0  0 87  1  0  0  3]\n",
      " [ 0  1  0  0  0  0 90  0  0  0]\n",
      " [ 0  0  0  0  0  1  0 88  0  0]\n",
      " [ 0  0  0  0  0  0  0  0 88  0]\n",
      " [ 0  0  0  1  0  1  0  0  0 90]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test,grid_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       1.00      0.99      0.99        88\n",
      "          1       0.99      0.96      0.97        91\n",
      "          2       0.99      0.99      0.99        86\n",
      "          3       0.98      0.90      0.94        91\n",
      "          4       0.99      0.96      0.97        92\n",
      "          5       0.95      0.96      0.95        91\n",
      "          6       0.99      0.99      0.99        91\n",
      "          7       0.98      0.99      0.98        89\n",
      "          8       0.94      1.00      0.97        88\n",
      "          9       0.92      0.98      0.95        92\n",
      "\n",
      "avg / total       0.97      0.97      0.97       899\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,grid_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "images_and_predictions = list(zip(digits.images[n_samples // 2:],grid_pred))\n",
    "for index, (image, prediction) in enumerate(images_and_predictions[:4]):\n",
    "    plt.subplot(2, 4, index + 5)\n",
    "    plt.axis('off')\n",
    "    plt.imshow(image, cmap=plt.cm.gray_r, interpolation='nearest')\n",
    "    plt.title('Prediction: %i' % prediction)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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