From 1e06a7cea768408b0d1b144c8e0a4db0b6073078 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fran=C3=A7ois=20Vieille?= <vieille.francois@gmail.com>
Date: Thu, 9 Aug 2018 01:25:19 +0200
Subject: [PATCH] test du notebook sur les refs

---
 notebooks/1.0-fvi-tests-sur-refs.ipynb | 699 +++++++++++++++++++++++++
 1 file changed, 699 insertions(+)
 create mode 100644 notebooks/1.0-fvi-tests-sur-refs.ipynb

diff --git a/notebooks/1.0-fvi-tests-sur-refs.ipynb b/notebooks/1.0-fvi-tests-sur-refs.ipynb
new file mode 100644
index 0000000..febbd05
--- /dev/null
+++ b/notebooks/1.0-fvi-tests-sur-refs.ipynb
@@ -0,0 +1,699 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "refs = pd.read_csv('../data/external/refs/references_labels.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "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>image</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20170416-012001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20170416-012001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
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+       "    <tr>\n",
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+       "      <td>20170416-014001.jpg</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20170416-014001.jpg</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>20170416-015001.jpg</td>\n",
+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>20170416-015001.jpg</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>20170416-015001.jpg</td>\n",
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+       "      <th>10</th>\n",
+       "      <td>20170416-025001.jpg</td>\n",
+       "      <td>8</td>\n",
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+       "      <th>11</th>\n",
+       "      <td>20170416-030001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>20170416-030001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>20170416-030001.jpg</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>20170416-032001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>20170416-044001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>20170416-044001.jpg</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>20170416-045001.jpg</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20170416-045001.jpg</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>20170416-050001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>20170416-050001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>20170416-050001.jpg</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>20170416-050001.jpg</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>20170416-051002.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>20170416-051002.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>20170416-051002.jpg</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>20170416-051002.jpg</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
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+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>20170416-062001.jpg</td>\n",
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+       "      <th>647</th>\n",
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+       "      <th>651</th>\n",
+       "      <td>20170803-210001.jpg</td>\n",
+       "      <td>9</td>\n",
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+       "      <td>20180101-174001.jpg</td>\n",
+       "      <td>9</td>\n",
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+       "      <th>655</th>\n",
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+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>656</th>\n",
+       "      <td>20180327-112001.jpg</td>\n",
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+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>658</th>\n",
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+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>659</th>\n",
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+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>660</th>\n",
+       "      <td>20170813-034001.jpg</td>\n",
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+       "    <tr>\n",
+       "      <th>662</th>\n",
+       "      <td>20170716-094001.jpg</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>663</th>\n",
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+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>3</td>\n",
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+       "      <td>20180501-120001.jpg</td>\n",
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+       "      <th>666</th>\n",
+       "      <td>20170913-012001.jpg</td>\n",
+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>667</th>\n",
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+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>668</th>\n",
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+       "      <td>2</td>\n",
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+       "    <tr>\n",
+       "      <th>669</th>\n",
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+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>670</th>\n",
+       "      <td>20171224-144001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>671</th>\n",
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+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>672</th>\n",
+       "      <td>20170423-003001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>673</th>\n",
+       "      <td>20170424-092001.jpg</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>674</th>\n",
+       "      <td>20170424-092001.jpg</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>675</th>\n",
+       "      <td>20170424-092001.jpg</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>676 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   image  label\n",
+       "0    20170416-012001.jpg      1\n",
+       "1    20170416-012001.jpg      3\n",
+       "2    20170416-013001.jpg      1\n",
+       "3    20170416-014001.jpg      2\n",
+       "4    20170416-014001.jpg      9\n",
+       "5    20170416-015001.jpg      1\n",
+       "6    20170416-015001.jpg      3\n",
+       "7    20170416-015001.jpg      6\n",
+       "8    20170416-015001.jpg      9\n",
+       "9    20170416-025001.jpg      1\n",
+       "10   20170416-025001.jpg      8\n",
+       "11   20170416-030001.jpg      1\n",
+       "12   20170416-030001.jpg      3\n",
+       "13   20170416-030001.jpg      6\n",
+       "14   20170416-030001.jpg      9\n",
+       "15   20170416-032001.jpg      1\n",
+       "16   20170416-044001.jpg      1\n",
+       "17   20170416-044001.jpg      8\n",
+       "18   20170416-045001.jpg      2\n",
+       "19   20170416-045001.jpg      4\n",
+       "20   20170416-050001.jpg      1\n",
+       "21   20170416-050001.jpg      3\n",
+       "22   20170416-050001.jpg      6\n",
+       "23   20170416-050001.jpg      9\n",
+       "24   20170416-051002.jpg      1\n",
+       "25   20170416-051002.jpg      3\n",
+       "26   20170416-051002.jpg      7\n",
+       "27   20170416-051002.jpg      8\n",
+       "28   20170416-062001.jpg      1\n",
+       "29   20170416-062001.jpg      3\n",
+       "..                   ...    ...\n",
+       "646  20180415-022001.jpg      5\n",
+       "647  20180415-022001.jpg      9\n",
+       "648  20170803-210001.jpg      1\n",
+       "649  20170803-210001.jpg      3\n",
+       "650  20170803-210001.jpg      5\n",
+       "651  20170803-210001.jpg      9\n",
+       "652  20180101-174001.jpg      2\n",
+       "653  20180101-174001.jpg      3\n",
+       "654  20180101-174001.jpg      9\n",
+       "655  20180327-112001.jpg      1\n",
+       "656  20180327-112001.jpg      8\n",
+       "657  20180418-060001.jpg      1\n",
+       "658  20170813-034001.jpg      1\n",
+       "659  20170813-034001.jpg      3\n",
+       "660  20170813-034001.jpg      4\n",
+       "661  20170716-094001.jpg      1\n",
+       "662  20170716-094001.jpg      4\n",
+       "663  20180501-120001.jpg      2\n",
+       "664  20180501-120001.jpg      3\n",
+       "665  20180501-120001.jpg      4\n",
+       "666  20170913-012001.jpg      1\n",
+       "667  20170726-033001.jpg      2\n",
+       "668  20171216-170001.jpg      2\n",
+       "669  20171224-144001.jpg      2\n",
+       "670  20171224-144001.jpg      3\n",
+       "671  20170423-003001.jpg      1\n",
+       "672  20170423-003001.jpg      3\n",
+       "673  20170424-092001.jpg      1\n",
+       "674  20170424-092001.jpg      3\n",
+       "675  20170424-092001.jpg      8\n",
+       "\n",
+       "[676 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "refs2 = refs.pivot_table(index=\"image\", columns=\"label\", aggfunc=len, fill_value=0).reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['image', 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='object', name='label')"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs2.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "refs2.index.name = None"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "Length mismatch: Expected axis has 10 elements, new values have 9 elements",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-136-d55c82b68b48>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mrefs2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"label\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrefs2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'image'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/anaconda3/envs/py35/lib/python3.5/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__setattr__\u001b[0;34m(self, name, value)\u001b[0m\n\u001b[1;32m   3625\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3626\u001b[0m             \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3627\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3628\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3629\u001b[0m             \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/properties.pyx\u001b[0m in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/envs/py35/lib/python3.5/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m_set_axis\u001b[0;34m(self, axis, labels)\u001b[0m\n\u001b[1;32m    557\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    558\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_set_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 559\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    560\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_clear_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    561\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/anaconda3/envs/py35/lib/python3.5/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mset_axis\u001b[0;34m(self, axis, new_labels)\u001b[0m\n\u001b[1;32m   3072\u001b[0m             raise ValueError('Length mismatch: Expected axis has %d elements, '\n\u001b[1;32m   3073\u001b[0m                              \u001b[0;34m'new values have %d elements'\u001b[0m \u001b[0;34m%\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3074\u001b[0;31m                              (old_len, new_len))\n\u001b[0m\u001b[1;32m   3075\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3076\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_labels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: Length mismatch: Expected axis has 10 elements, new values have 9 elements"
+     ]
+    }
+   ],
+   "source": [
+    "refs2.columns = [\"label\" + str(col) for col in refs2.columns.tolist() if col != 'image']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "refs2.rename(columns=lambda x: \"label\" + str(x) if x != 'image' else 'image', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "RangeIndex(start=0, stop=320, step=1)"
+      ]
+     },
+     "execution_count": 163,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs2.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "label\n",
+      "label1    1\n",
+      "label2    0\n",
+      "Name: 0, dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i, row in refs2.iterrows():\n",
+    "    print(row[{'label1', 'label2'}])\n",
+    "    break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "320"
+      ]
+     },
+     "execution_count": 126,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs2.index.size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(676, 2)"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method NDFrame.describe of label                image  1  2  3  4  5  6  7  8  9\n",
+       "0      20170416-012001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "1      20170416-013001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "2      20170416-014001.jpg  0  1  0  0  0  0  0  0  1\n",
+       "3      20170416-015001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "4      20170416-025001.jpg  1  0  0  0  0  0  0  1  0\n",
+       "5      20170416-030001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "6      20170416-032001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "7      20170416-044001.jpg  1  0  0  0  0  0  0  1  0\n",
+       "8      20170416-045001.jpg  0  1  0  1  0  0  0  0  0\n",
+       "9      20170416-050001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "10     20170416-051002.jpg  1  0  1  0  0  0  1  1  0\n",
+       "11     20170416-062001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "12     20170416-063001.jpg  1  0  0  0  0  0  0  1  0\n",
+       "13     20170416-073001.jpg  1  0  1  0  1  0  0  0  1\n",
+       "14     20170416-080001.jpg  0  1  0  1  0  0  0  0  0\n",
+       "15     20170416-081001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "16     20170416-090001.jpg  1  0  0  0  0  0  1  1  0\n",
+       "17     20170416-094002.jpg  1  0  0  0  0  0  0  0  0\n",
+       "18     20170416-104001.jpg  1  0  1  0  0  1  0  0  1\n",
+       "19     20170416-105002.jpg  1  0  1  0  0  0  0  0  0\n",
+       "20     20170416-110001.jpg  1  0  0  1  0  0  0  1  0\n",
+       "21     20170416-111002.jpg  1  0  1  0  0  1  0  0  1\n",
+       "22     20170416-120001.jpg  0  0  1  0  1  0  0  0  1\n",
+       "23     20170416-121001.jpg  1  0  0  0  0  0  1  0  0\n",
+       "24     20170416-123001.jpg  1  0  1  1  0  1  0  0  0\n",
+       "25     20170416-134001.jpg  1  0  1  0  1  0  0  0  0\n",
+       "26     20170416-151001.jpg  0  0  1  0  1  0  0  0  0\n",
+       "27     20170416-152001.jpg  1  0  0  1  0  0  0  1  0\n",
+       "28     20170416-153001.jpg  0  1  0  0  0  0  0  0  0\n",
+       "29     20170416-154002.jpg  1  0  1  0  0  1  0  0  0\n",
+       "..                     ... .. .. .. .. .. .. .. .. ..\n",
+       "290    20180406-232001.jpg  1  0  1  0  0  1  0  0  0\n",
+       "291    20180408-060001.jpg  1  0  1  0  0  1  0  0  0\n",
+       "292    20180409-222001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "293    20180410-164001.jpg  1  0  0  0  0  0  0  1  0\n",
+       "294    20180411-174001.jpg  1  0  1  1  0  0  0  0  0\n",
+       "295    20180412-170001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "296    20180415-002001.jpg  1  0  1  0  0  0  0  1  0\n",
+       "297    20180415-022001.jpg  1  0  0  0  1  0  0  0  1\n",
+       "298    20180415-034001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "299    20180415-204001.jpg  1  0  0  1  0  0  0  0  0\n",
+       "300    20180415-232001.jpg  0  1  1  0  0  0  0  0  1\n",
+       "301    20180416-024001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "302    20180417-000001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "303    20180418-060001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "304    20180418-222001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "305    20180419-032001.jpg  1  0  1  0  0  0  0  1  0\n",
+       "306    20180419-154001.jpg  0  1  1  0  0  0  0  0  1\n",
+       "307    20180419-200001.jpg  0  1  1  0  0  0  0  0  0\n",
+       "308    20180420-204001.jpg  0  0  1  0  1  0  0  0  0\n",
+       "309    20180424-010001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "310    20180424-052001.jpg  1  0  1  1  0  0  0  0  0\n",
+       "311    20180425-122001.jpg  0  1  1  1  0  0  0  1  0\n",
+       "312    20180429-042001.jpg  0  1  1  0  0  0  0  0  1\n",
+       "313    20180429-070001.jpg  0  0  0  0  1  0  1  0  0\n",
+       "314    20180501-120001.jpg  0  1  1  1  0  0  0  0  0\n",
+       "315    20180506-172001.jpg  1  0  1  0  0  1  0  0  0\n",
+       "316    20180506-232001.jpg  1  0  0  0  0  0  0  0  0\n",
+       "317    20180510-184001.jpg  1  0  1  0  0  0  0  0  0\n",
+       "318    20180511-022001.jpg  0  1  0  0  0  0  0  0  0\n",
+       "319    20180511-062001.jpg  1  0  0  1  0  0  0  0  0\n",
+       "\n",
+       "[320 rows x 10 columns]>"
+      ]
+     },
+     "execution_count": 131,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "refs2."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}