demo_objects_Sari.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_pickle('data/paths.pkl.xz')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of            x    y  obj  seq                            filename  \\\n",
       "0          4  291    1    0   14-16\\20170817012709_100.h264.txt   \n",
       "1        629    7    2    0   14-16\\20170817012709_100.h264.txt   \n",
       "2        253    4    3    0   14-16\\20170817012709_100.h264.txt   \n",
       "3        185    4    4    0   14-16\\20170817012709_100.h264.txt   \n",
       "4          5  102    5    0   14-16\\20170817012709_100.h264.txt   \n",
       "5          6  102    5    1   14-16\\20170817012709_100.h264.txt   \n",
       "6          6  102    5    2   14-16\\20170817012709_100.h264.txt   \n",
       "7          7  102    5    3   14-16\\20170817012709_100.h264.txt   \n",
       "8          9  102    5    4   14-16\\20170817012709_100.h264.txt   \n",
       "9         11  102    5    5   14-16\\20170817012709_100.h264.txt   \n",
       "11        76  100    6    0   14-16\\20170817012709_100.h264.txt   \n",
       "13        80  100    6    1   14-16\\20170817012709_100.h264.txt   \n",
       "15        94  100    6    2   14-16\\20170817012709_100.h264.txt   \n",
       "18       145  110    7    0   14-16\\20170817012709_100.h264.txt   \n",
       "21       145  110    7    1   14-16\\20170817012709_100.h264.txt   \n",
       "24       144  111    7    2   14-16\\20170817012709_100.h264.txt   \n",
       "27       145  111    7    3   14-16\\20170817012709_100.h264.txt   \n",
       "29       109  101    6    3   14-16\\20170817012709_100.h264.txt   \n",
       "30       145  111    7    4   14-16\\20170817012709_100.h264.txt   \n",
       "32       111  101    6    4   14-16\\20170817012709_100.h264.txt   \n",
       "33       147  111    7    5   14-16\\20170817012709_100.h264.txt   \n",
       "36       149  112    7    6   14-16\\20170817012709_100.h264.txt   \n",
       "39       150  112    7    7   14-16\\20170817012709_100.h264.txt   \n",
       "42       150  112    7    8   14-16\\20170817012709_100.h264.txt   \n",
       "44       119  101    6    5   14-16\\20170817012709_100.h264.txt   \n",
       "45       151  112    7    9   14-16\\20170817012709_100.h264.txt   \n",
       "48       152  113    7   10   14-16\\20170817012709_100.h264.txt   \n",
       "51       152  113    7   11   14-16\\20170817012709_100.h264.txt   \n",
       "53       130  106    6    6   14-16\\20170817012709_100.h264.txt   \n",
       "54       153  113    7   12   14-16\\20170817012709_100.h264.txt   \n",
       "...      ...  ...  ...  ...                                 ...   \n",
       "2997773  148  249   32   39   14-16\\20170824152302_100.h264.txt   \n",
       "2997775  322  221   31   48   14-16\\20170824152302_100.h264.txt   \n",
       "2997776  147  250   32   40   14-16\\20170824152302_100.h264.txt   \n",
       "2997778  323  219   31   49   14-16\\20170824152302_100.h264.txt   \n",
       "2997779  146  250   32   41   14-16\\20170824152302_100.h264.txt   \n",
       "2997781  325  220   31   50   14-16\\20170824152302_100.h264.txt   \n",
       "2997782  145  251   32   42   14-16\\20170824152302_100.h264.txt   \n",
       "2997784  325  218   31   51   14-16\\20170824152302_100.h264.txt   \n",
       "2997785  145  251   32   43   14-16\\20170824152302_100.h264.txt   \n",
       "2997787  326  220   31   52   14-16\\20170824152302_100.h264.txt   \n",
       "2997788  143  251   32   44   14-16\\20170824152302_100.h264.txt   \n",
       "2997790  328  220   31   53   14-16\\20170824152302_100.h264.txt   \n",
       "2997791  137  251   32   45   14-16\\20170824152302_100.h264.txt   \n",
       "2997793  328  219   31   54   14-16\\20170824152302_100.h264.txt   \n",
       "2997794  142  251   32   47   14-16\\20170824152302_100.h264.txt   \n",
       "2997796  329  219   31   55   14-16\\20170824152302_100.h264.txt   \n",
       "2997797  142  250   32   48   14-16\\20170824152302_100.h264.txt   \n",
       "2997799  330  219   31   56   14-16\\20170824152302_100.h264.txt   \n",
       "2997800  135  253   32   49   14-16\\20170824152302_100.h264.txt   \n",
       "2997802  331  216   31   57   14-16\\20170824152302_100.h264.txt   \n",
       "2997803  135  253   32   50   14-16\\20170824152302_100.h264.txt   \n",
       "2997805  331  216   31   58   14-16\\20170824152302_100.h264.txt   \n",
       "2997806  140  251   32   52   14-16\\20170824152302_100.h264.txt   \n",
       "2997808  332  215   31   59   14-16\\20170824152302_100.h264.txt   \n",
       "2997809  139  251   32   54   14-16\\20170824152302_100.h264.txt   \n",
       "2997812  139  251   32   56   14-16\\20170824152302_100.h264.txt   \n",
       "2997814  337  218   31   60   14-16\\20170824152302_100.h264.txt   \n",
       "2997815  134  253   32   57   14-16\\20170824152302_100.h264.txt   \n",
       "2997817  338  218   31   61   14-16\\20170824152302_100.h264.txt   \n",
       "2997818  133  254   32   58   14-16\\20170824152302_100.h264.txt   \n",
       "\n",
       "                       time  \n",
       "0       2017-08-17 01:27:09  \n",
       "1       2017-08-17 01:27:09  \n",
       "2       2017-08-17 01:27:09  \n",
       "3       2017-08-17 01:27:09  \n",
       "4       2017-08-17 01:27:09  \n",
       "5       2017-08-17 01:27:09  \n",
       "6       2017-08-17 01:27:09  \n",
       "7       2017-08-17 01:27:09  \n",
       "8       2017-08-17 01:27:09  \n",
       "9       2017-08-17 01:27:09  \n",
       "11      2017-08-17 01:27:09  \n",
       "13      2017-08-17 01:27:09  \n",
       "15      2017-08-17 01:27:09  \n",
       "18      2017-08-17 01:27:09  \n",
       "21      2017-08-17 01:27:09  \n",
       "24      2017-08-17 01:27:09  \n",
       "27      2017-08-17 01:27:09  \n",
       "29      2017-08-17 01:27:09  \n",
       "30      2017-08-17 01:27:09  \n",
       "32      2017-08-17 01:27:09  \n",
       "33      2017-08-17 01:27:09  \n",
       "36      2017-08-17 01:27:09  \n",
       "39      2017-08-17 01:27:09  \n",
       "42      2017-08-17 01:27:09  \n",
       "44      2017-08-17 01:27:09  \n",
       "45      2017-08-17 01:27:09  \n",
       "48      2017-08-17 01:27:09  \n",
       "51      2017-08-17 01:27:09  \n",
       "53      2017-08-17 01:27:09  \n",
       "54      2017-08-17 01:27:09  \n",
       "...                     ...  \n",
       "2997773 2017-08-24 15:23:02  \n",
       "2997775 2017-08-24 15:23:02  \n",
       "2997776 2017-08-24 15:23:02  \n",
       "2997778 2017-08-24 15:23:02  \n",
       "2997779 2017-08-24 15:23:02  \n",
       "2997781 2017-08-24 15:23:02  \n",
       "2997782 2017-08-24 15:23:02  \n",
       "2997784 2017-08-24 15:23:02  \n",
       "2997785 2017-08-24 15:23:02  \n",
       "2997787 2017-08-24 15:23:02  \n",
       "2997788 2017-08-24 15:23:02  \n",
       "2997790 2017-08-24 15:23:02  \n",
       "2997791 2017-08-24 15:23:02  \n",
       "2997793 2017-08-24 15:23:02  \n",
       "2997794 2017-08-24 15:23:02  \n",
       "2997796 2017-08-24 15:23:02  \n",
       "2997797 2017-08-24 15:23:02  \n",
       "2997799 2017-08-24 15:23:02  \n",
       "2997800 2017-08-24 15:23:02  \n",
       "2997802 2017-08-24 15:23:02  \n",
       "2997803 2017-08-24 15:23:02  \n",
       "2997805 2017-08-24 15:23:02  \n",
       "2997806 2017-08-24 15:23:02  \n",
       "2997808 2017-08-24 15:23:02  \n",
       "2997809 2017-08-24 15:23:02  \n",
       "2997812 2017-08-24 15:23:02  \n",
       "2997814 2017-08-24 15:23:02  \n",
       "2997815 2017-08-24 15:23:02  \n",
       "2997817 2017-08-24 15:23:02  \n",
       "2997818 2017-08-24 15:23:02  \n",
       "\n",
       "[1779632 rows x 6 columns]>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many distinct objects are in the file?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1218346"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2997978 - len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What is the largest sequence number? What object has the largest sequence number?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2017-08-17 01:27:09</td>\n",
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       "      <th>1</th>\n",
       "      <td>629</td>\n",
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       "      <th>3</th>\n",
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       "      <td>2017-08-17 01:27:09</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     x    y  obj  seq                            filename                time\n",
       "0    4  291    1    0   14-16\\20170817012709_100.h264.txt 2017-08-17 01:27:09\n",
       "1  629    7    2    0   14-16\\20170817012709_100.h264.txt 2017-08-17 01:27:09\n",
       "2  253    4    3    0   14-16\\20170817012709_100.h264.txt 2017-08-17 01:27:09\n",
       "3  185    4    4    0   14-16\\20170817012709_100.h264.txt 2017-08-17 01:27:09\n",
       "4    5  102    5    0   14-16\\20170817012709_100.h264.txt 2017-08-17 01:27:09"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1977"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['seq'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (Let's call an object largest sequence number it's sequence\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn = df[df.seq == df['seq'].max()].iloc[0].filename\n",
    "obj = df[df.seq == df['seq'].max()].iloc[0].obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2017-08-17 16:11:23</td>\n",
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       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
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       "      <td>2017-08-17 16:11:23</td>\n",
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       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
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       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386005</th>\n",
       "      <td>341</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386007</th>\n",
       "      <td>341</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386009</th>\n",
       "      <td>336</td>\n",
       "      <td>78</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386011</th>\n",
       "      <td>338</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386013</th>\n",
       "      <td>336</td>\n",
       "      <td>78</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386015</th>\n",
       "      <td>336</td>\n",
       "      <td>78</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386017</th>\n",
       "      <td>335</td>\n",
       "      <td>78</td>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386019</th>\n",
       "      <td>335</td>\n",
       "      <td>78</td>\n",
       "      <td>16</td>\n",
       "      <td>25</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386021</th>\n",
       "      <td>340</td>\n",
       "      <td>88</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386023</th>\n",
       "      <td>338</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>27</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386025</th>\n",
       "      <td>335</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386027</th>\n",
       "      <td>335</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>29</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386029</th>\n",
       "      <td>334</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>30</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386031</th>\n",
       "      <td>334</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>31</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386033</th>\n",
       "      <td>335</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386035</th>\n",
       "      <td>334</td>\n",
       "      <td>90</td>\n",
       "      <td>16</td>\n",
       "      <td>33</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386037</th>\n",
       "      <td>335</td>\n",
       "      <td>89</td>\n",
       "      <td>16</td>\n",
       "      <td>34</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389137</th>\n",
       "      <td>396</td>\n",
       "      <td>111</td>\n",
       "      <td>16</td>\n",
       "      <td>1948</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389140</th>\n",
       "      <td>394</td>\n",
       "      <td>111</td>\n",
       "      <td>16</td>\n",
       "      <td>1949</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389143</th>\n",
       "      <td>392</td>\n",
       "      <td>110</td>\n",
       "      <td>16</td>\n",
       "      <td>1950</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389146</th>\n",
       "      <td>390</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1951</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389149</th>\n",
       "      <td>393</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1952</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389152</th>\n",
       "      <td>391</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1953</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389155</th>\n",
       "      <td>391</td>\n",
       "      <td>109</td>\n",
       "      <td>16</td>\n",
       "      <td>1954</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389158</th>\n",
       "      <td>388</td>\n",
       "      <td>109</td>\n",
       "      <td>16</td>\n",
       "      <td>1955</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389161</th>\n",
       "      <td>389</td>\n",
       "      <td>109</td>\n",
       "      <td>16</td>\n",
       "      <td>1956</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389164</th>\n",
       "      <td>390</td>\n",
       "      <td>108</td>\n",
       "      <td>16</td>\n",
       "      <td>1957</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389167</th>\n",
       "      <td>387</td>\n",
       "      <td>108</td>\n",
       "      <td>16</td>\n",
       "      <td>1958</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389176</th>\n",
       "      <td>387</td>\n",
       "      <td>107</td>\n",
       "      <td>16</td>\n",
       "      <td>1959</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389188</th>\n",
       "      <td>378</td>\n",
       "      <td>107</td>\n",
       "      <td>16</td>\n",
       "      <td>1960</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389197</th>\n",
       "      <td>376</td>\n",
       "      <td>106</td>\n",
       "      <td>16</td>\n",
       "      <td>1961</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389200</th>\n",
       "      <td>374</td>\n",
       "      <td>106</td>\n",
       "      <td>16</td>\n",
       "      <td>1962</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389212</th>\n",
       "      <td>370</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1963</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389215</th>\n",
       "      <td>368</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1964</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389221</th>\n",
       "      <td>365</td>\n",
       "      <td>105</td>\n",
       "      <td>16</td>\n",
       "      <td>1965</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389284</th>\n",
       "      <td>330</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1966</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389287</th>\n",
       "      <td>329</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1967</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389294</th>\n",
       "      <td>325</td>\n",
       "      <td>96</td>\n",
       "      <td>16</td>\n",
       "      <td>1968</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389296</th>\n",
       "      <td>324</td>\n",
       "      <td>96</td>\n",
       "      <td>16</td>\n",
       "      <td>1969</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389322</th>\n",
       "      <td>289</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1970</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389324</th>\n",
       "      <td>289</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1971</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389326</th>\n",
       "      <td>289</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1972</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389328</th>\n",
       "      <td>288</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1973</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389330</th>\n",
       "      <td>287</td>\n",
       "      <td>97</td>\n",
       "      <td>16</td>\n",
       "      <td>1974</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389356</th>\n",
       "      <td>267</td>\n",
       "      <td>99</td>\n",
       "      <td>16</td>\n",
       "      <td>1975</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389358</th>\n",
       "      <td>267</td>\n",
       "      <td>99</td>\n",
       "      <td>16</td>\n",
       "      <td>1976</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389360</th>\n",
       "      <td>267</td>\n",
       "      <td>99</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>14-16\\20170817161123_100.h264.txt</td>\n",
       "      <td>2017-08-17 16:11:23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1597 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          x    y  obj   seq                            filename  \\\n",
       "385967  371   80   16     0   14-16\\20170817161123_100.h264.txt   \n",
       "385977  358   85   16     1   14-16\\20170817161123_100.h264.txt   \n",
       "385979  358   85   16     2   14-16\\20170817161123_100.h264.txt   \n",
       "385981  358   85   16     3   14-16\\20170817161123_100.h264.txt   \n",
       "385983  358   85   16     4   14-16\\20170817161123_100.h264.txt   \n",
       "385989  354   86   16     5   14-16\\20170817161123_100.h264.txt   \n",
       "385991  349   86   16     6   14-16\\20170817161123_100.h264.txt   \n",
       "385993  349   86   16     7   14-16\\20170817161123_100.h264.txt   \n",
       "385995  341   89   16     8   14-16\\20170817161123_100.h264.txt   \n",
       "385997  341   89   16     9   14-16\\20170817161123_100.h264.txt   \n",
       "385999  341   89   16    10   14-16\\20170817161123_100.h264.txt   \n",
       "386001  341   89   16    11   14-16\\20170817161123_100.h264.txt   \n",
       "386003  340   89   16    12   14-16\\20170817161123_100.h264.txt   \n",
       "386005  341   89   16    13   14-16\\20170817161123_100.h264.txt   \n",
       "386007  341   89   16    14   14-16\\20170817161123_100.h264.txt   \n",
       "386009  336   78   16    16   14-16\\20170817161123_100.h264.txt   \n",
       "386011  338   89   16    17   14-16\\20170817161123_100.h264.txt   \n",
       "386013  336   78   16    19   14-16\\20170817161123_100.h264.txt   \n",
       "386015  336   78   16    21   14-16\\20170817161123_100.h264.txt   \n",
       "386017  335   78   16    23   14-16\\20170817161123_100.h264.txt   \n",
       "386019  335   78   16    25   14-16\\20170817161123_100.h264.txt   \n",
       "386021  340   88   16    26   14-16\\20170817161123_100.h264.txt   \n",
       "386023  338   89   16    27   14-16\\20170817161123_100.h264.txt   \n",
       "386025  335   90   16    28   14-16\\20170817161123_100.h264.txt   \n",
       "386027  335   90   16    29   14-16\\20170817161123_100.h264.txt   \n",
       "386029  334   90   16    30   14-16\\20170817161123_100.h264.txt   \n",
       "386031  334   90   16    31   14-16\\20170817161123_100.h264.txt   \n",
       "386033  335   90   16    32   14-16\\20170817161123_100.h264.txt   \n",
       "386035  334   90   16    33   14-16\\20170817161123_100.h264.txt   \n",
       "386037  335   89   16    34   14-16\\20170817161123_100.h264.txt   \n",
       "...     ...  ...  ...   ...                                 ...   \n",
       "389137  396  111   16  1948   14-16\\20170817161123_100.h264.txt   \n",
       "389140  394  111   16  1949   14-16\\20170817161123_100.h264.txt   \n",
       "389143  392  110   16  1950   14-16\\20170817161123_100.h264.txt   \n",
       "389146  390  105   16  1951   14-16\\20170817161123_100.h264.txt   \n",
       "389149  393  105   16  1952   14-16\\20170817161123_100.h264.txt   \n",
       "389152  391  105   16  1953   14-16\\20170817161123_100.h264.txt   \n",
       "389155  391  109   16  1954   14-16\\20170817161123_100.h264.txt   \n",
       "389158  388  109   16  1955   14-16\\20170817161123_100.h264.txt   \n",
       "389161  389  109   16  1956   14-16\\20170817161123_100.h264.txt   \n",
       "389164  390  108   16  1957   14-16\\20170817161123_100.h264.txt   \n",
       "389167  387  108   16  1958   14-16\\20170817161123_100.h264.txt   \n",
       "389176  387  107   16  1959   14-16\\20170817161123_100.h264.txt   \n",
       "389188  378  107   16  1960   14-16\\20170817161123_100.h264.txt   \n",
       "389197  376  106   16  1961   14-16\\20170817161123_100.h264.txt   \n",
       "389200  374  106   16  1962   14-16\\20170817161123_100.h264.txt   \n",
       "389212  370  105   16  1963   14-16\\20170817161123_100.h264.txt   \n",
       "389215  368  105   16  1964   14-16\\20170817161123_100.h264.txt   \n",
       "389221  365  105   16  1965   14-16\\20170817161123_100.h264.txt   \n",
       "389284  330   97   16  1966   14-16\\20170817161123_100.h264.txt   \n",
       "389287  329   97   16  1967   14-16\\20170817161123_100.h264.txt   \n",
       "389294  325   96   16  1968   14-16\\20170817161123_100.h264.txt   \n",
       "389296  324   96   16  1969   14-16\\20170817161123_100.h264.txt   \n",
       "389322  289   97   16  1970   14-16\\20170817161123_100.h264.txt   \n",
       "389324  289   97   16  1971   14-16\\20170817161123_100.h264.txt   \n",
       "389326  289   97   16  1972   14-16\\20170817161123_100.h264.txt   \n",
       "389328  288   97   16  1973   14-16\\20170817161123_100.h264.txt   \n",
       "389330  287   97   16  1974   14-16\\20170817161123_100.h264.txt   \n",
       "389356  267   99   16  1975   14-16\\20170817161123_100.h264.txt   \n",
       "389358  267   99   16  1976   14-16\\20170817161123_100.h264.txt   \n",
       "389360  267   99   16  1977   14-16\\20170817161123_100.h264.txt   \n",
       "\n",
       "                      time  \n",
       "385967 2017-08-17 16:11:23  \n",
       "385977 2017-08-17 16:11:23  \n",
       "385979 2017-08-17 16:11:23  \n",
       "385981 2017-08-17 16:11:23  \n",
       "385983 2017-08-17 16:11:23  \n",
       "385989 2017-08-17 16:11:23  \n",
       "385991 2017-08-17 16:11:23  \n",
       "385993 2017-08-17 16:11:23  \n",
       "385995 2017-08-17 16:11:23  \n",
       "385997 2017-08-17 16:11:23  \n",
       "385999 2017-08-17 16:11:23  \n",
       "386001 2017-08-17 16:11:23  \n",
       "386003 2017-08-17 16:11:23  \n",
       "386005 2017-08-17 16:11:23  \n",
       "386007 2017-08-17 16:11:23  \n",
       "386009 2017-08-17 16:11:23  \n",
       "386011 2017-08-17 16:11:23  \n",
       "386013 2017-08-17 16:11:23  \n",
       "386015 2017-08-17 16:11:23  \n",
       "386017 2017-08-17 16:11:23  \n",
       "386019 2017-08-17 16:11:23  \n",
       "386021 2017-08-17 16:11:23  \n",
       "386023 2017-08-17 16:11:23  \n",
       "386025 2017-08-17 16:11:23  \n",
       "386027 2017-08-17 16:11:23  \n",
       "386029 2017-08-17 16:11:23  \n",
       "386031 2017-08-17 16:11:23  \n",
       "386033 2017-08-17 16:11:23  \n",
       "386035 2017-08-17 16:11:23  \n",
       "386037 2017-08-17 16:11:23  \n",
       "...                    ...  \n",
       "389137 2017-08-17 16:11:23  \n",
       "389140 2017-08-17 16:11:23  \n",
       "389143 2017-08-17 16:11:23  \n",
       "389146 2017-08-17 16:11:23  \n",
       "389149 2017-08-17 16:11:23  \n",
       "389152 2017-08-17 16:11:23  \n",
       "389155 2017-08-17 16:11:23  \n",
       "389158 2017-08-17 16:11:23  \n",
       "389161 2017-08-17 16:11:23  \n",
       "389164 2017-08-17 16:11:23  \n",
       "389167 2017-08-17 16:11:23  \n",
       "389176 2017-08-17 16:11:23  \n",
       "389188 2017-08-17 16:11:23  \n",
       "389197 2017-08-17 16:11:23  \n",
       "389200 2017-08-17 16:11:23  \n",
       "389212 2017-08-17 16:11:23  \n",
       "389215 2017-08-17 16:11:23  \n",
       "389221 2017-08-17 16:11:23  \n",
       "389284 2017-08-17 16:11:23  \n",
       "389287 2017-08-17 16:11:23  \n",
       "389294 2017-08-17 16:11:23  \n",
       "389296 2017-08-17 16:11:23  \n",
       "389322 2017-08-17 16:11:23  \n",
       "389324 2017-08-17 16:11:23  \n",
       "389326 2017-08-17 16:11:23  \n",
       "389328 2017-08-17 16:11:23  \n",
       "389330 2017-08-17 16:11:23  \n",
       "389356 2017-08-17 16:11:23  \n",
       "389358 2017-08-17 16:11:23  \n",
       "389360 2017-08-17 16:11:23  \n",
       "\n",
       "[1597 rows x 6 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df.filename == fn) & (df.obj == obj)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many objects have sequence larger than 20?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "fn1 = df[df.seq > 20].iloc[0].filename\n",
    "obj1 = df[df.seq > 20].iloc[0].obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "139"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df[(df.filename == fn1) & (df.obj == obj1)]) ##??????"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What is the mean sequence for  all objects?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "139.76533182141026"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.seq.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Show a histogram for sequence/number of objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = df.seq\n",
    "o = df.obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x25e23cf09e8>]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot(o,s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}