example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "from pathlib import Path"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:37.529046Z",
     "start_time": "2023-06-30T18:49:37.520711Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:37.814863Z",
     "start_time": "2023-06-30T18:49:37.529136Z"
    }
   },
   "outputs": [],
   "source": [
    "from datetime import datetime, date\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Initializing:\n",
    "\n",
    "You can set ``first_interval`` to your birthday, then you have nice stats for every year.. You can skip last interval and it will assume you stayed at the last location you have photos of."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "from src import Where\n",
    "\n",
    "where = Where(\n",
    "    last_interval=datetime(2020, 12, 31),\n",
    "    feather_location=Path('photos-limited.feather').resolve(),\n",
    "    pictures_root=[\n",
    "        Path('/Users/visgean/Dropbox/Photos/2018').resolve(),\n",
    "        Path('/Users/visgean/Dropbox/Photos/2019').resolve(),\n",
    "        Path('/Users/visgean/Dropbox/Photos/2020').resolve(),\n",
    "    ],\n",
    "    processes=5,\n",
    "    ignore_countries=('SJ', 'GH', 'RS')\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:41.188822Z",
     "start_time": "2023-06-30T18:49:37.816669Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Example plots\n",
    "\n",
    "below you can see some example plots, they are badly formatted, if you know solution to that please feel free to contact me via email or pull request.."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot: ylabel='admin2'>"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "where.countries_df.admin2.value_counts().plot(kind='pie')\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:41.526852Z",
     "start_time": "2023-06-30T18:49:41.191640Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot: ylabel='cc'>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "where.countries_df.cc.value_counts().plot(kind='pie')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:41.638819Z",
     "start_time": "2023-06-30T18:49:41.530557Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/t9/wn516khd6p1b9l2g2lmm4qh40000gn/T/ipykernel_42378/3922641291.py:1: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
      "  plt.style.use('seaborn-deep')\n",
      "/var/folders/t9/wn516khd6p1b9l2g2lmm4qh40000gn/T/ipykernel_42378/3922641291.py:5: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.\n",
      "  where.day_df['country_code'].hist(by=where.day_df.index.year, ax=ax, rwidth=0.5)\n"
     ]
    },
    {
     "data": {
      "text/plain": "array([[<AxesSubplot: title={'center': '2017'}>,\n        <AxesSubplot: title={'center': '2018'}>],\n       [<AxesSubplot: title={'center': '2019'}>,\n        <AxesSubplot: title={'center': '2020'}>]], dtype=object)"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1500x2000 with 4 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-deep')\n",
    "fig = plt.figure(figsize=(15, 20))\n",
    "ax = fig.gca()\n",
    "\n",
    "where.day_df['country_code'].hist(by=where.day_df.index.year, ax=ax, rwidth=0.5)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:42.097560Z",
     "start_time": "2023-06-30T18:49:41.683913Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "GB    4731\nCZ     711\nNL     309\nFR     129\nDE      92\nMA      45\nTR      29\nPT      19\nSI      13\nAT       7\nPL       6\nGH       2\nSJ       2\nName: cc, dtype: int64"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "where.countries_df.cc.value_counts()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:42.102302Z",
     "start_time": "2023-06-30T18:49:42.099937Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Get location day by day:\n",
    "\n",
    "``.day_df`` is a dataframe that contains a row for every single day from ``first_interval`` to ``last_interval``. Country column sometimes contains wrong data - it can correspond to region sometimes."
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "                   country country_code\nday                                    \n2017-12-29  Czech Republic           CZ\n2017-12-29          Berlin           DE\n2017-12-30          Berlin           DE\n2017-12-31          Berlin           DE\n2018-01-01          Berlin           DE\n...                    ...          ...\n2020-12-27        Scotland           GB\n2020-12-28        Scotland           GB\n2020-12-29        Scotland           GB\n2020-12-30        Scotland           GB\n2020-12-31        Scotland           GB\n\n[1141 rows x 2 columns]",
      "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>country</th>\n      <th>country_code</th>\n    </tr>\n    <tr>\n      <th>day</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2017-12-29</th>\n      <td>Czech Republic</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>2017-12-29</th>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>2017-12-30</th>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>2017-12-31</th>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>2018-01-01</th>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2020-12-27</th>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>2020-12-28</th>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>2020-12-29</th>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>2020-12-30</th>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>2020-12-31</th>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n  </tbody>\n</table>\n<p>1141 rows × 2 columns</p>\n</div>"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "where.day_df"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-06-30T18:49:42.109259Z",
     "start_time": "2023-06-30T18:49:42.103932Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Interval list"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "          from          to  days                     country country_code\n0   2017-12-29  2017-12-29     0              Czech Republic           CZ\n1   2017-12-29  2018-01-13    15                      Berlin           DE\n2   2018-01-13  2018-05-23   129                    Scotland           GB\n3   2018-05-23  2018-06-10    17                       Praha           CZ\n4   2018-06-10  2018-06-15     5                      Berlin           DE\n5   2018-06-15  2018-06-20     4                       Praha           CZ\n6   2018-06-20  2018-06-20     0                     England           GB\n7   2018-06-20  2018-06-20     0             Central Bohemia           CZ\n8   2018-06-20  2018-07-26    36                     England           GB\n9   2018-07-26  2018-08-02     6                   Ljubljana           SI\n10  2018-08-02  2018-08-23    20                     England           GB\n11  2018-08-23  2018-08-31     8                       Praha           CZ\n12  2018-08-31  2018-12-18   108                     England           GB\n13  2018-12-18  2018-12-30    12                       Praha           CZ\n14  2018-12-30  2019-01-02     2   Lesser Poland Voivodeship           PL\n15  2019-01-02  2019-01-17    15                       Praha           CZ\n16  2019-01-17  2019-02-13    26                    Scotland           GB\n17  2019-02-13  2019-02-18     5                      Berlin           DE\n18  2019-02-18  2019-02-22     3                    Istanbul           TR\n19  2019-02-22  2019-02-27     4                      Berlin           DE\n20  2019-02-27  2019-05-27    89                    Scotland           GB\n21  2019-05-27  2019-06-06     9                       Praha           CZ\n22  2019-06-06  2019-06-13     7                      Lisbon           PT\n23  2019-06-13  2019-06-16     2                      Vienna           AT\n24  2019-06-16  2019-06-25     9              South Moravian           CZ\n25  2019-06-25  2019-06-28     2               Midi-Pyrenees           FR\n26  2019-06-28  2019-07-13    15             Central Bohemia           CZ\n27  2019-07-13  2019-08-29    47                    Scotland           GB\n28  2019-08-29  2019-09-10    11                       Praha           CZ\n29  2019-09-10  2019-09-10     0                      Styria           AT\n30  2019-09-10  2019-09-11     0                       Praha           CZ\n31  2019-09-11  2019-11-07    57                    Scotland           GB\n32  2019-11-07  2019-11-10     3               Ile-de-France           FR\n33  2019-11-10  2019-12-24    43                    Scotland           GB\n34  2019-12-24  2019-12-24     0                  Overijssel           NL\n35  2019-12-24  2019-12-24     0                Lower Saxony           DE\n36  2019-12-24  2020-01-02     9             Central Bohemia           CZ\n37  2020-01-02  2020-01-10     7  Marrakech-Tensift-Al Haouz           MA\n38  2020-01-10  2020-07-17   189                     England           GB\n39  2020-07-17  2020-09-04    49               South Holland           NL\n40  2020-09-04  2020-11-03    59                       Praha           CZ\n41  2020-11-03  2020-11-03     0                       Hesse           DE\n42  2020-11-03  2020-12-31    57                    Scotland           GB",
      "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>from</th>\n      <th>to</th>\n      <th>days</th>\n      <th>country</th>\n      <th>country_code</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2017-12-29</td>\n      <td>2017-12-29</td>\n      <td>0</td>\n      <td>Czech Republic</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2017-12-29</td>\n      <td>2018-01-13</td>\n      <td>15</td>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-01-13</td>\n      <td>2018-05-23</td>\n      <td>129</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-05-23</td>\n      <td>2018-06-10</td>\n      <td>17</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-06-10</td>\n      <td>2018-06-15</td>\n      <td>5</td>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2018-06-15</td>\n      <td>2018-06-20</td>\n      <td>4</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2018-06-20</td>\n      <td>2018-06-20</td>\n      <td>0</td>\n      <td>England</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2018-06-20</td>\n      <td>2018-06-20</td>\n      <td>0</td>\n      <td>Central Bohemia</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2018-06-20</td>\n      <td>2018-07-26</td>\n      <td>36</td>\n      <td>England</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2018-07-26</td>\n      <td>2018-08-02</td>\n      <td>6</td>\n      <td>Ljubljana</td>\n      <td>SI</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2018-08-02</td>\n      <td>2018-08-23</td>\n      <td>20</td>\n      <td>England</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2018-08-23</td>\n      <td>2018-08-31</td>\n      <td>8</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2018-08-31</td>\n      <td>2018-12-18</td>\n      <td>108</td>\n      <td>England</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2018-12-18</td>\n      <td>2018-12-30</td>\n      <td>12</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2018-12-30</td>\n      <td>2019-01-02</td>\n      <td>2</td>\n      <td>Lesser Poland Voivodeship</td>\n      <td>PL</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2019-01-02</td>\n      <td>2019-01-17</td>\n      <td>15</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2019-01-17</td>\n      <td>2019-02-13</td>\n      <td>26</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2019-02-13</td>\n      <td>2019-02-18</td>\n      <td>5</td>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2019-02-18</td>\n      <td>2019-02-22</td>\n      <td>3</td>\n      <td>Istanbul</td>\n      <td>TR</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2019-02-22</td>\n      <td>2019-02-27</td>\n      <td>4</td>\n      <td>Berlin</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2019-02-27</td>\n      <td>2019-05-27</td>\n      <td>89</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2019-05-27</td>\n      <td>2019-06-06</td>\n      <td>9</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2019-06-06</td>\n      <td>2019-06-13</td>\n      <td>7</td>\n      <td>Lisbon</td>\n      <td>PT</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-06-13</td>\n      <td>2019-06-16</td>\n      <td>2</td>\n      <td>Vienna</td>\n      <td>AT</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2019-06-16</td>\n      <td>2019-06-25</td>\n      <td>9</td>\n      <td>South Moravian</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2019-06-25</td>\n      <td>2019-06-28</td>\n      <td>2</td>\n      <td>Midi-Pyrenees</td>\n      <td>FR</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2019-06-28</td>\n      <td>2019-07-13</td>\n      <td>15</td>\n      <td>Central Bohemia</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2019-07-13</td>\n      <td>2019-08-29</td>\n      <td>47</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2019-08-29</td>\n      <td>2019-09-10</td>\n      <td>11</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2019-09-10</td>\n      <td>2019-09-10</td>\n      <td>0</td>\n      <td>Styria</td>\n      <td>AT</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2019-09-10</td>\n      <td>2019-09-11</td>\n      <td>0</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>2019-09-11</td>\n      <td>2019-11-07</td>\n      <td>57</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>2019-11-07</td>\n      <td>2019-11-10</td>\n      <td>3</td>\n      <td>Ile-de-France</td>\n      <td>FR</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>2019-11-10</td>\n      <td>2019-12-24</td>\n      <td>43</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>2019-12-24</td>\n      <td>2019-12-24</td>\n      <td>0</td>\n      <td>Overijssel</td>\n      <td>NL</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>2019-12-24</td>\n      <td>2019-12-24</td>\n      <td>0</td>\n      <td>Lower Saxony</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>2019-12-24</td>\n      <td>2020-01-02</td>\n      <td>9</td>\n      <td>Central Bohemia</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>2020-01-02</td>\n      <td>2020-01-10</td>\n      <td>7</td>\n      <td>Marrakech-Tensift-Al Haouz</td>\n      <td>MA</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>2020-01-10</td>\n      <td>2020-07-17</td>\n      <td>189</td>\n      <td>England</td>\n      <td>GB</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>2020-07-17</td>\n      <td>2020-09-04</td>\n      <td>49</td>\n      <td>South Holland</td>\n      <td>NL</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td>2020-09-04</td>\n      <td>2020-11-03</td>\n      <td>59</td>\n      <td>Praha</td>\n      <td>CZ</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td>2020-11-03</td>\n      <td>2020-11-03</td>\n      <td>0</td>\n      <td>Hesse</td>\n      <td>DE</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>2020-11-03</td>\n      <td>2020-12-31</td>\n      <td>57</td>\n      <td>Scotland</td>\n      <td>GB</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
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