103_zahranici_predstih.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5ff9f392-7c0e-4278-a961-b59b827f492a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', 100)\n",
    "pd.set_option('display.max_rows', 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7ab94c61-7695-471b-889b-66dab880ab43",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_parquet(os.path.join('data','jizdenky.parquet'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d020485f-b0d3-4605-ab4d-aa725d9cef45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>oscrapovano</th>\n",
       "      <th>prodejce</th>\n",
       "      <th>odkud</th>\n",
       "      <th>kam</th>\n",
       "      <th>odjezd</th>\n",
       "      <th>predstih</th>\n",
       "      <th>predstih_d</th>\n",
       "      <th>predstih_h</th>\n",
       "      <th>cena</th>\n",
       "      <th>prostredek</th>\n",
       "      <th>volnych_mist</th>\n",
       "      <th>obsazenost</th>\n",
       "      <th>jizdni_doba</th>\n",
       "      <th>vzdalenost</th>\n",
       "      <th>zpozdeni</th>\n",
       "      <th>cena_poznamka</th>\n",
       "      <th>den</th>\n",
       "      <th>prestupy</th>\n",
       "      <th>vlaky</th>\n",
       "      <th>mistenka_zdarma</th>\n",
       "      <th>nahradni_bus</th>\n",
       "      <th>volna_mista_economy</th>\n",
       "      <th>volna_mista_economy_plus</th>\n",
       "      <th>volna_mista_economy_business</th>\n",
       "      <th>volna_mista_premium</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>37342</th>\n",
       "      <td>2024-11-02 22:54:46</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-03 18:05:00</td>\n",
       "      <td>0 days 19:10:14</td>\n",
       "      <td>0</td>\n",
       "      <td>19.170556</td>\n",
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       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>922.0</td>\n",
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       "      <td>ne</td>\n",
       "      <td>0</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>37829</th>\n",
       "      <td>2024-11-02 23:03:13</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>2 days 19:01:47</td>\n",
       "      <td>2</td>\n",
       "      <td>67.029722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39735</th>\n",
       "      <td>2024-11-03 05:26:43</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>2 days 12:38:17</td>\n",
       "      <td>2</td>\n",
       "      <td>60.638056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
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       "      <td>None</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>40560</th>\n",
       "      <td>2024-11-03 05:38:52</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>7 days 12:26:08</td>\n",
       "      <td>7</td>\n",
       "      <td>180.435556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
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       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40910</th>\n",
       "      <td>2024-11-03 05:43:06</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>9 days 12:21:54</td>\n",
       "      <td>9</td>\n",
       "      <td>228.365000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41674</th>\n",
       "      <td>2024-11-03 06:33:42</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-03 18:05:00</td>\n",
       "      <td>0 days 11:31:18</td>\n",
       "      <td>0</td>\n",
       "      <td>11.521667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41895</th>\n",
       "      <td>2024-11-03 06:37:30</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>2 days 11:27:30</td>\n",
       "      <td>2</td>\n",
       "      <td>59.458333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43002</th>\n",
       "      <td>2024-11-03 06:53:34</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>7 days 11:11:26</td>\n",
       "      <td>7</td>\n",
       "      <td>179.190556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43335</th>\n",
       "      <td>2024-11-03 06:57:47</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>11 days 11:07:13</td>\n",
       "      <td>11</td>\n",
       "      <td>275.120278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53736</th>\n",
       "      <td>2024-11-03 17:03:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-03 18:05:00</td>\n",
       "      <td>0 days 01:01:35</td>\n",
       "      <td>0</td>\n",
       "      <td>1.026389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54562</th>\n",
       "      <td>2024-11-03 17:19:37</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>4 days 00:45:23</td>\n",
       "      <td>4</td>\n",
       "      <td>96.756389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55215</th>\n",
       "      <td>2024-11-03 17:31:34</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>21 days 00:33:26</td>\n",
       "      <td>21</td>\n",
       "      <td>504.557222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61876</th>\n",
       "      <td>2024-11-04 09:11:09</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>1 days 08:53:51</td>\n",
       "      <td>1</td>\n",
       "      <td>32.897500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62358</th>\n",
       "      <td>2024-11-04 09:19:30</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>3 days 08:45:30</td>\n",
       "      <td>3</td>\n",
       "      <td>80.758333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62636</th>\n",
       "      <td>2024-11-04 09:23:26</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>6 days 08:41:34</td>\n",
       "      <td>6</td>\n",
       "      <td>152.692778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63981</th>\n",
       "      <td>2024-11-04 11:27:54</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>1 days 06:37:06</td>\n",
       "      <td>1</td>\n",
       "      <td>30.618333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65036</th>\n",
       "      <td>2024-11-04 11:47:57</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>6 days 06:17:03</td>\n",
       "      <td>6</td>\n",
       "      <td>150.284167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65340</th>\n",
       "      <td>2024-11-04 11:52:09</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>13 days 06:12:51</td>\n",
       "      <td>13</td>\n",
       "      <td>318.214167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65674</th>\n",
       "      <td>2024-11-04 11:56:46</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-26 18:05:00</td>\n",
       "      <td>22 days 06:08:14</td>\n",
       "      <td>22</td>\n",
       "      <td>534.137222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66451</th>\n",
       "      <td>2024-11-04 12:38:02</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>3 days 05:26:58</td>\n",
       "      <td>3</td>\n",
       "      <td>77.449444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66895</th>\n",
       "      <td>2024-11-04 12:45:56</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>3 days 05:19:04</td>\n",
       "      <td>3</td>\n",
       "      <td>77.317778</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67484</th>\n",
       "      <td>2024-11-04 12:53:54</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>6 days 05:11:06</td>\n",
       "      <td>6</td>\n",
       "      <td>149.185000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67823</th>\n",
       "      <td>2024-11-04 12:58:07</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>13 days 05:06:53</td>\n",
       "      <td>13</td>\n",
       "      <td>317.114722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71650</th>\n",
       "      <td>2024-11-04 17:18:28</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>3 days 00:46:32</td>\n",
       "      <td>3</td>\n",
       "      <td>72.775556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72606</th>\n",
       "      <td>2024-11-04 17:36:27</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-01 18:05:00</td>\n",
       "      <td>27 days 00:28:33</td>\n",
       "      <td>27</td>\n",
       "      <td>648.475833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86286</th>\n",
       "      <td>2024-11-05 09:45:46</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>5 days 08:19:14</td>\n",
       "      <td>5</td>\n",
       "      <td>128.320556</td>\n",
       "      <td>4618.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86294</th>\n",
       "      <td>2024-11-05 09:45:46</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>7 days 08:19:14</td>\n",
       "      <td>7</td>\n",
       "      <td>176.320556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86872</th>\n",
       "      <td>2024-11-05 09:54:26</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-03 18:05:00</td>\n",
       "      <td>28 days 08:10:34</td>\n",
       "      <td>28</td>\n",
       "      <td>680.176111</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87509</th>\n",
       "      <td>2024-11-05 11:31:14</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-05 18:05:00</td>\n",
       "      <td>0 days 06:33:46</td>\n",
       "      <td>0</td>\n",
       "      <td>6.562778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88692</th>\n",
       "      <td>2024-11-05 11:50:37</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>9 days 06:14:23</td>\n",
       "      <td>9</td>\n",
       "      <td>222.239722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90070</th>\n",
       "      <td>2024-11-05 13:19:21</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>2 days 04:45:39</td>\n",
       "      <td>2</td>\n",
       "      <td>52.760833</td>\n",
       "      <td>3328.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90443</th>\n",
       "      <td>2024-11-05 13:27:01</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>5 days 04:37:59</td>\n",
       "      <td>5</td>\n",
       "      <td>124.633056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91042</th>\n",
       "      <td>2024-11-05 13:35:00</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>9 days 04:30:00</td>\n",
       "      <td>9</td>\n",
       "      <td>220.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91355</th>\n",
       "      <td>2024-11-05 13:39:06</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>19 days 04:25:54</td>\n",
       "      <td>19</td>\n",
       "      <td>460.431667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96216</th>\n",
       "      <td>2024-11-05 18:36:55</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>1 days 23:28:05</td>\n",
       "      <td>1</td>\n",
       "      <td>47.468056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97988</th>\n",
       "      <td>2024-11-05 19:05:59</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-26 18:05:00</td>\n",
       "      <td>20 days 22:59:01</td>\n",
       "      <td>20</td>\n",
       "      <td>502.983611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98404</th>\n",
       "      <td>2024-11-05 21:25:44</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>1 days 20:39:16</td>\n",
       "      <td>1</td>\n",
       "      <td>44.654444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98989</th>\n",
       "      <td>2024-11-05 21:36:56</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>4 days 20:28:04</td>\n",
       "      <td>4</td>\n",
       "      <td>116.467778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99623</th>\n",
       "      <td>2024-11-05 21:44:53</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>13 days 20:20:07</td>\n",
       "      <td>13</td>\n",
       "      <td>332.335278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107679</th>\n",
       "      <td>2024-11-06 08:36:36</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>1 days 09:28:24</td>\n",
       "      <td>1</td>\n",
       "      <td>33.473333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108903</th>\n",
       "      <td>2024-11-06 08:55:42</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>6 days 09:09:18</td>\n",
       "      <td>6</td>\n",
       "      <td>153.155000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109552</th>\n",
       "      <td>2024-11-06 09:04:15</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-28 18:05:00</td>\n",
       "      <td>22 days 09:00:45</td>\n",
       "      <td>22</td>\n",
       "      <td>537.012500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112704</th>\n",
       "      <td>2024-11-06 13:27:15</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>1 days 04:37:45</td>\n",
       "      <td>1</td>\n",
       "      <td>28.629167</td>\n",
       "      <td>3328.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113436</th>\n",
       "      <td>2024-11-06 13:39:06</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>4 days 04:25:54</td>\n",
       "      <td>4</td>\n",
       "      <td>100.431667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113702</th>\n",
       "      <td>2024-11-06 13:43:04</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>6 days 04:21:56</td>\n",
       "      <td>6</td>\n",
       "      <td>148.365556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113996</th>\n",
       "      <td>2024-11-06 13:47:08</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>11 days 04:17:52</td>\n",
       "      <td>11</td>\n",
       "      <td>268.297778</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114309</th>\n",
       "      <td>2024-11-06 13:51:51</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-01 18:05:00</td>\n",
       "      <td>25 days 04:13:09</td>\n",
       "      <td>25</td>\n",
       "      <td>604.219167</td>\n",
       "      <td>3586.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115064</th>\n",
       "      <td>2024-11-06 15:14:09</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>1 days 02:50:51</td>\n",
       "      <td>1</td>\n",
       "      <td>26.847500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115855</th>\n",
       "      <td>2024-11-06 15:25:37</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>6 days 02:39:23</td>\n",
       "      <td>6</td>\n",
       "      <td>146.656389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116115</th>\n",
       "      <td>2024-11-06 15:29:43</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>8 days 02:35:17</td>\n",
       "      <td>8</td>\n",
       "      <td>194.588056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118246</th>\n",
       "      <td>2024-11-06 17:40:49</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>6 days 00:24:11</td>\n",
       "      <td>6</td>\n",
       "      <td>144.403056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118503</th>\n",
       "      <td>2024-11-06 17:45:05</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>8 days 00:19:55</td>\n",
       "      <td>8</td>\n",
       "      <td>192.331944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119062</th>\n",
       "      <td>2024-11-06 17:54:35</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-05 18:05:00</td>\n",
       "      <td>29 days 00:10:25</td>\n",
       "      <td>29</td>\n",
       "      <td>696.173611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120270</th>\n",
       "      <td>2024-11-06 18:48:10</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 23:16:50</td>\n",
       "      <td>3</td>\n",
       "      <td>95.280556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120604</th>\n",
       "      <td>2024-11-06 18:52:35</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>5 days 23:12:25</td>\n",
       "      <td>5</td>\n",
       "      <td>143.206944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121228</th>\n",
       "      <td>2024-11-06 19:01:24</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>12 days 23:03:36</td>\n",
       "      <td>12</td>\n",
       "      <td>311.060000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121500</th>\n",
       "      <td>2024-11-06 19:06:21</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-03 18:05:00</td>\n",
       "      <td>26 days 22:58:39</td>\n",
       "      <td>26</td>\n",
       "      <td>646.977500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121878</th>\n",
       "      <td>2024-11-06 21:02:50</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>0 days 21:02:10</td>\n",
       "      <td>0</td>\n",
       "      <td>21.036111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122691</th>\n",
       "      <td>2024-11-06 21:14:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 20:50:35</td>\n",
       "      <td>3</td>\n",
       "      <td>92.843056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122948</th>\n",
       "      <td>2024-11-06 21:18:24</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>5 days 20:46:36</td>\n",
       "      <td>5</td>\n",
       "      <td>140.776667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123235</th>\n",
       "      <td>2024-11-06 21:22:33</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>7 days 20:42:27</td>\n",
       "      <td>7</td>\n",
       "      <td>188.707500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123763</th>\n",
       "      <td>2024-11-06 21:31:45</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-08 18:05:00</td>\n",
       "      <td>31 days 20:33:15</td>\n",
       "      <td>31</td>\n",
       "      <td>764.554167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135277</th>\n",
       "      <td>2024-11-07 08:33:57</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-07 18:05:00</td>\n",
       "      <td>0 days 09:31:03</td>\n",
       "      <td>0</td>\n",
       "      <td>9.517500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136072</th>\n",
       "      <td>2024-11-07 08:45:11</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 09:19:49</td>\n",
       "      <td>3</td>\n",
       "      <td>81.330278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136375</th>\n",
       "      <td>2024-11-07 08:49:06</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>5 days 09:15:54</td>\n",
       "      <td>5</td>\n",
       "      <td>129.265000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140442</th>\n",
       "      <td>2024-11-07 13:16:42</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 04:48:18</td>\n",
       "      <td>3</td>\n",
       "      <td>76.805000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140813</th>\n",
       "      <td>2024-11-07 13:24:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 04:40:35</td>\n",
       "      <td>3</td>\n",
       "      <td>76.676389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145210</th>\n",
       "      <td>2024-11-07 17:28:59</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 00:36:01</td>\n",
       "      <td>3</td>\n",
       "      <td>72.600278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145366</th>\n",
       "      <td>2024-11-07 17:32:40</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>3 days 00:32:20</td>\n",
       "      <td>3</td>\n",
       "      <td>72.538889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145780</th>\n",
       "      <td>2024-11-07 17:40:05</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>5 days 00:24:55</td>\n",
       "      <td>5</td>\n",
       "      <td>120.415278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146346</th>\n",
       "      <td>2024-11-07 17:48:07</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>10 days 00:16:53</td>\n",
       "      <td>10</td>\n",
       "      <td>240.281389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166987</th>\n",
       "      <td>2024-11-08 11:29:17</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>2 days 06:35:43</td>\n",
       "      <td>2</td>\n",
       "      <td>54.595278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167178</th>\n",
       "      <td>2024-11-08 11:32:33</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>2 days 06:32:27</td>\n",
       "      <td>2</td>\n",
       "      <td>54.540833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167991</th>\n",
       "      <td>2024-11-08 11:43:06</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>6 days 06:21:54</td>\n",
       "      <td>6</td>\n",
       "      <td>150.365000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168278</th>\n",
       "      <td>2024-11-08 11:46:45</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>9 days 06:18:15</td>\n",
       "      <td>9</td>\n",
       "      <td>222.304167</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168574</th>\n",
       "      <td>2024-11-08 11:50:30</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-21 18:05:00</td>\n",
       "      <td>13 days 06:14:30</td>\n",
       "      <td>13</td>\n",
       "      <td>318.241667</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174618</th>\n",
       "      <td>2024-11-08 15:08:53</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>2 days 02:56:07</td>\n",
       "      <td>2</td>\n",
       "      <td>50.935278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174840</th>\n",
       "      <td>2024-11-08 15:12:16</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>2 days 02:52:44</td>\n",
       "      <td>2</td>\n",
       "      <td>50.878889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176262</th>\n",
       "      <td>2024-11-08 15:30:26</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>16 days 02:34:34</td>\n",
       "      <td>16</td>\n",
       "      <td>386.576111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182912</th>\n",
       "      <td>2024-11-08 19:14:04</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 22:50:56</td>\n",
       "      <td>1</td>\n",
       "      <td>46.848889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191232</th>\n",
       "      <td>2024-11-08 22:11:02</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 19:53:58</td>\n",
       "      <td>1</td>\n",
       "      <td>43.899444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193668</th>\n",
       "      <td>2024-11-08 22:25:15</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>5 days 19:39:45</td>\n",
       "      <td>5</td>\n",
       "      <td>139.662500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194975</th>\n",
       "      <td>2024-11-08 22:29:22</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>10 days 19:35:38</td>\n",
       "      <td>10</td>\n",
       "      <td>259.593889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204960</th>\n",
       "      <td>2024-11-09 05:34:08</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 12:30:52</td>\n",
       "      <td>1</td>\n",
       "      <td>36.514444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205170</th>\n",
       "      <td>2024-11-09 05:37:32</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>3 days 12:27:28</td>\n",
       "      <td>3</td>\n",
       "      <td>84.457778</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206211</th>\n",
       "      <td>2024-11-09 05:51:22</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>10 days 12:13:38</td>\n",
       "      <td>10</td>\n",
       "      <td>252.227222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206555</th>\n",
       "      <td>2024-11-09 05:55:12</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>15 days 12:09:48</td>\n",
       "      <td>15</td>\n",
       "      <td>372.163333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209183</th>\n",
       "      <td>2024-11-09 07:34:56</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 10:30:04</td>\n",
       "      <td>1</td>\n",
       "      <td>34.501111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210472</th>\n",
       "      <td>2024-11-09 07:52:29</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>8 days 10:12:31</td>\n",
       "      <td>8</td>\n",
       "      <td>202.208611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211049</th>\n",
       "      <td>2024-11-09 08:00:12</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-01 18:05:00</td>\n",
       "      <td>22 days 10:04:48</td>\n",
       "      <td>22</td>\n",
       "      <td>538.080000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227985</th>\n",
       "      <td>2024-11-09 15:34:15</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 02:30:45</td>\n",
       "      <td>1</td>\n",
       "      <td>26.512500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228256</th>\n",
       "      <td>2024-11-09 15:37:39</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>3 days 02:27:21</td>\n",
       "      <td>3</td>\n",
       "      <td>74.455833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228570</th>\n",
       "      <td>2024-11-09 15:41:05</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>3 days 02:23:55</td>\n",
       "      <td>3</td>\n",
       "      <td>74.398611</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228878</th>\n",
       "      <td>2024-11-09 15:44:32</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>5 days 02:20:28</td>\n",
       "      <td>5</td>\n",
       "      <td>122.341111</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229213</th>\n",
       "      <td>2024-11-09 15:47:57</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>8 days 02:17:03</td>\n",
       "      <td>8</td>\n",
       "      <td>194.284167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229485</th>\n",
       "      <td>2024-11-09 15:51:30</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>10 days 02:13:30</td>\n",
       "      <td>10</td>\n",
       "      <td>242.225000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232289</th>\n",
       "      <td>2024-11-09 17:31:00</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>1 days 00:34:00</td>\n",
       "      <td>1</td>\n",
       "      <td>24.566667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232669</th>\n",
       "      <td>2024-11-09 17:37:36</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>3 days 00:27:24</td>\n",
       "      <td>3</td>\n",
       "      <td>72.456667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232992</th>\n",
       "      <td>2024-11-09 17:41:00</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>3 days 00:24:00</td>\n",
       "      <td>3</td>\n",
       "      <td>72.400000</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234108</th>\n",
       "      <td>2024-11-09 17:55:24</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-05 18:05:00</td>\n",
       "      <td>26 days 00:09:36</td>\n",
       "      <td>26</td>\n",
       "      <td>624.160000</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241507</th>\n",
       "      <td>2024-11-09 21:31:43</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 20:33:17</td>\n",
       "      <td>0</td>\n",
       "      <td>20.554722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241994</th>\n",
       "      <td>2024-11-09 21:38:34</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>2 days 20:26:26</td>\n",
       "      <td>2</td>\n",
       "      <td>68.440556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243465</th>\n",
       "      <td>2024-11-09 21:57:14</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-28 18:05:00</td>\n",
       "      <td>18 days 20:07:46</td>\n",
       "      <td>18</td>\n",
       "      <td>452.129444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246063</th>\n",
       "      <td>2024-11-09 23:31:01</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 18:33:59</td>\n",
       "      <td>0</td>\n",
       "      <td>18.566389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246382</th>\n",
       "      <td>2024-11-09 23:37:49</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>2 days 18:27:11</td>\n",
       "      <td>2</td>\n",
       "      <td>66.453056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247205</th>\n",
       "      <td>2024-11-09 23:48:48</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>7 days 18:16:12</td>\n",
       "      <td>7</td>\n",
       "      <td>186.270000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247536</th>\n",
       "      <td>2024-11-09 23:52:41</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-26 18:05:00</td>\n",
       "      <td>16 days 18:12:19</td>\n",
       "      <td>16</td>\n",
       "      <td>402.205278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254949</th>\n",
       "      <td>2024-11-10 07:32:19</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 10:32:41</td>\n",
       "      <td>0</td>\n",
       "      <td>10.544722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256263</th>\n",
       "      <td>2024-11-10 07:49:36</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>7 days 10:15:24</td>\n",
       "      <td>7</td>\n",
       "      <td>178.256667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256591</th>\n",
       "      <td>2024-11-10 07:53:29</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>14 days 10:11:31</td>\n",
       "      <td>14</td>\n",
       "      <td>346.191944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256919</th>\n",
       "      <td>2024-11-10 07:57:43</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-01 18:05:00</td>\n",
       "      <td>21 days 10:07:17</td>\n",
       "      <td>21</td>\n",
       "      <td>514.121389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263372</th>\n",
       "      <td>2024-11-10 11:31:43</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 06:33:17</td>\n",
       "      <td>0</td>\n",
       "      <td>6.554722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263750</th>\n",
       "      <td>2024-11-10 11:38:18</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>2 days 06:26:42</td>\n",
       "      <td>2</td>\n",
       "      <td>54.445000</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263768</th>\n",
       "      <td>2024-11-10 11:38:18</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>4 days 06:26:42</td>\n",
       "      <td>4</td>\n",
       "      <td>102.445000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267078</th>\n",
       "      <td>2024-11-10 13:31:37</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 04:33:23</td>\n",
       "      <td>0</td>\n",
       "      <td>4.556389</td>\n",
       "      <td>3328.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267531</th>\n",
       "      <td>2024-11-10 13:38:13</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>2 days 04:26:47</td>\n",
       "      <td>2</td>\n",
       "      <td>52.446389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267532</th>\n",
       "      <td>2024-11-10 13:38:13</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>4 days 04:26:47</td>\n",
       "      <td>4</td>\n",
       "      <td>100.446389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268018</th>\n",
       "      <td>2024-11-10 13:45:03</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>4 days 04:19:57</td>\n",
       "      <td>4</td>\n",
       "      <td>100.332500</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271911</th>\n",
       "      <td>2024-11-10 15:32:13</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-10 18:05:00</td>\n",
       "      <td>0 days 02:32:47</td>\n",
       "      <td>0</td>\n",
       "      <td>2.546389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272354</th>\n",
       "      <td>2024-11-10 15:38:51</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>2 days 02:26:09</td>\n",
       "      <td>2</td>\n",
       "      <td>50.435833</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272363</th>\n",
       "      <td>2024-11-10 15:38:51</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>4 days 02:26:09</td>\n",
       "      <td>4</td>\n",
       "      <td>98.435833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272634</th>\n",
       "      <td>2024-11-10 15:42:17</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>4 days 02:22:43</td>\n",
       "      <td>4</td>\n",
       "      <td>98.378611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303784</th>\n",
       "      <td>2024-11-11 13:35:50</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>1 days 04:29:10</td>\n",
       "      <td>1</td>\n",
       "      <td>28.486111</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304010</th>\n",
       "      <td>2024-11-11 13:39:13</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>3 days 04:25:47</td>\n",
       "      <td>3</td>\n",
       "      <td>76.429722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304235</th>\n",
       "      <td>2024-11-11 13:42:36</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>3 days 04:22:24</td>\n",
       "      <td>3</td>\n",
       "      <td>76.373333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304738</th>\n",
       "      <td>2024-11-11 13:49:58</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>6 days 04:15:02</td>\n",
       "      <td>6</td>\n",
       "      <td>148.250556</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305059</th>\n",
       "      <td>2024-11-11 13:54:00</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-24 18:05:00</td>\n",
       "      <td>13 days 04:11:00</td>\n",
       "      <td>13</td>\n",
       "      <td>316.183333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305322</th>\n",
       "      <td>2024-11-11 13:57:55</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-28 18:05:00</td>\n",
       "      <td>17 days 04:07:05</td>\n",
       "      <td>17</td>\n",
       "      <td>412.118056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313920</th>\n",
       "      <td>2024-11-11 18:31:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-12 18:05:00</td>\n",
       "      <td>0 days 23:33:35</td>\n",
       "      <td>0</td>\n",
       "      <td>23.559722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314331</th>\n",
       "      <td>2024-11-11 18:37:58</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>2 days 23:27:02</td>\n",
       "      <td>2</td>\n",
       "      <td>71.450556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314928</th>\n",
       "      <td>2024-11-11 18:44:54</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>5 days 23:20:06</td>\n",
       "      <td>5</td>\n",
       "      <td>143.335000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336232</th>\n",
       "      <td>2024-11-12 09:35:34</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>2 days 08:29:26</td>\n",
       "      <td>2</td>\n",
       "      <td>56.490556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336955</th>\n",
       "      <td>2024-11-12 09:45:59</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>5 days 08:19:01</td>\n",
       "      <td>5</td>\n",
       "      <td>128.316944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337595</th>\n",
       "      <td>2024-11-12 09:53:36</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-26 18:05:00</td>\n",
       "      <td>14 days 08:11:24</td>\n",
       "      <td>14</td>\n",
       "      <td>344.190000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337918</th>\n",
       "      <td>2024-11-12 09:57:49</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-05 18:05:00</td>\n",
       "      <td>23 days 08:07:11</td>\n",
       "      <td>23</td>\n",
       "      <td>560.119722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340469</th>\n",
       "      <td>2024-11-12 11:44:34</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>5 days 06:20:26</td>\n",
       "      <td>5</td>\n",
       "      <td>126.340556</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340760</th>\n",
       "      <td>2024-11-12 11:48:07</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-21 18:05:00</td>\n",
       "      <td>9 days 06:16:53</td>\n",
       "      <td>9</td>\n",
       "      <td>222.281389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340775</th>\n",
       "      <td>2024-11-12 11:48:07</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>7 days 06:16:53</td>\n",
       "      <td>7</td>\n",
       "      <td>174.281389</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374525</th>\n",
       "      <td>2024-11-13 07:35:15</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>1 days 10:29:45</td>\n",
       "      <td>1</td>\n",
       "      <td>34.495833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375387</th>\n",
       "      <td>2024-11-13 07:48:29</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>6 days 10:16:31</td>\n",
       "      <td>6</td>\n",
       "      <td>154.275278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386368</th>\n",
       "      <td>2024-11-13 13:37:27</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>4 days 04:27:33</td>\n",
       "      <td>4</td>\n",
       "      <td>100.459167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387133</th>\n",
       "      <td>2024-11-13 13:47:33</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-19 18:05:00</td>\n",
       "      <td>6 days 04:17:27</td>\n",
       "      <td>6</td>\n",
       "      <td>148.290833</td>\n",
       "      <td>1780.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>út</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387144</th>\n",
       "      <td>2024-11-13 13:47:33</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-21 18:05:00</td>\n",
       "      <td>8 days 04:17:27</td>\n",
       "      <td>8</td>\n",
       "      <td>196.290833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390232</th>\n",
       "      <td>2024-11-13 15:33:42</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-14 18:05:00</td>\n",
       "      <td>1 days 02:31:18</td>\n",
       "      <td>1</td>\n",
       "      <td>26.521667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390463</th>\n",
       "      <td>2024-11-13 15:37:01</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>4 days 02:27:59</td>\n",
       "      <td>4</td>\n",
       "      <td>98.466389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390866</th>\n",
       "      <td>2024-11-13 15:43:31</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-17 18:05:00</td>\n",
       "      <td>4 days 02:21:29</td>\n",
       "      <td>4</td>\n",
       "      <td>98.358056</td>\n",
       "      <td>2812.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391482</th>\n",
       "      <td>2024-11-13 15:50:54</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-11-28 18:05:00</td>\n",
       "      <td>15 days 02:14:06</td>\n",
       "      <td>15</td>\n",
       "      <td>362.235000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>čt</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391712</th>\n",
       "      <td>2024-11-13 15:54:51</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>Bruxelles-Midi</td>\n",
       "      <td>2024-12-01 18:05:00</td>\n",
       "      <td>18 days 02:10:09</td>\n",
       "      <td>18</td>\n",
       "      <td>434.169167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení]</td>\n",
       "      <td>922.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>None</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[ES 452 European Sleeper]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               oscrapovano prodejce        odkud             kam  \\\n",
       "37342  2024-11-02 22:54:46       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "37829  2024-11-02 23:03:13       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "39735  2024-11-03 05:26:43       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "40560  2024-11-03 05:38:52       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "40910  2024-11-03 05:43:06       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "41674  2024-11-03 06:33:42       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "41895  2024-11-03 06:37:30       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "43002  2024-11-03 06:53:34       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "43335  2024-11-03 06:57:47       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "53736  2024-11-03 17:03:25       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "54562  2024-11-03 17:19:37       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "55215  2024-11-03 17:31:34       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "61876  2024-11-04 09:11:09       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "62358  2024-11-04 09:19:30       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "62636  2024-11-04 09:23:26       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "63981  2024-11-04 11:27:54       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "65036  2024-11-04 11:47:57       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "65340  2024-11-04 11:52:09       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "65674  2024-11-04 11:56:46       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "66451  2024-11-04 12:38:02       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "66895  2024-11-04 12:45:56       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "67484  2024-11-04 12:53:54       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "67823  2024-11-04 12:58:07       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "71650  2024-11-04 17:18:28       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "72606  2024-11-04 17:36:27       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "86286  2024-11-05 09:45:46       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "86294  2024-11-05 09:45:46       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "86872  2024-11-05 09:54:26       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "87509  2024-11-05 11:31:14       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "88692  2024-11-05 11:50:37       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "90070  2024-11-05 13:19:21       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "90443  2024-11-05 13:27:01       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "91042  2024-11-05 13:35:00       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "91355  2024-11-05 13:39:06       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "96216  2024-11-05 18:36:55       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "97988  2024-11-05 19:05:59       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "98404  2024-11-05 21:25:44       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "98989  2024-11-05 21:36:56       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "99623  2024-11-05 21:44:53       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "107679 2024-11-06 08:36:36       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "108903 2024-11-06 08:55:42       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "109552 2024-11-06 09:04:15       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "112704 2024-11-06 13:27:15       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "113436 2024-11-06 13:39:06       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "113702 2024-11-06 13:43:04       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "113996 2024-11-06 13:47:08       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "114309 2024-11-06 13:51:51       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "115064 2024-11-06 15:14:09       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "115855 2024-11-06 15:25:37       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "116115 2024-11-06 15:29:43       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "118246 2024-11-06 17:40:49       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "118503 2024-11-06 17:45:05       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "119062 2024-11-06 17:54:35       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "120270 2024-11-06 18:48:10       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "120604 2024-11-06 18:52:35       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "121228 2024-11-06 19:01:24       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "121500 2024-11-06 19:06:21       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "121878 2024-11-06 21:02:50       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "122691 2024-11-06 21:14:25       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "122948 2024-11-06 21:18:24       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "123235 2024-11-06 21:22:33       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "123763 2024-11-06 21:31:45       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "135277 2024-11-07 08:33:57       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "136072 2024-11-07 08:45:11       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "136375 2024-11-07 08:49:06       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "140442 2024-11-07 13:16:42       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "140813 2024-11-07 13:24:25       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "145210 2024-11-07 17:28:59       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "145366 2024-11-07 17:32:40       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "145780 2024-11-07 17:40:05       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "146346 2024-11-07 17:48:07       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "166987 2024-11-08 11:29:17       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "167178 2024-11-08 11:32:33       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "167991 2024-11-08 11:43:06       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "168278 2024-11-08 11:46:45       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "168574 2024-11-08 11:50:30       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "174618 2024-11-08 15:08:53       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "174840 2024-11-08 15:12:16       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "176262 2024-11-08 15:30:26       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "182912 2024-11-08 19:14:04       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "191232 2024-11-08 22:11:02       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "193668 2024-11-08 22:25:15       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "194975 2024-11-08 22:29:22       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "204960 2024-11-09 05:34:08       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "205170 2024-11-09 05:37:32       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "206211 2024-11-09 05:51:22       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "206555 2024-11-09 05:55:12       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "209183 2024-11-09 07:34:56       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "210472 2024-11-09 07:52:29       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "211049 2024-11-09 08:00:12       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "227985 2024-11-09 15:34:15       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "228256 2024-11-09 15:37:39       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "228570 2024-11-09 15:41:05       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "228878 2024-11-09 15:44:32       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "229213 2024-11-09 15:47:57       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "229485 2024-11-09 15:51:30       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "232289 2024-11-09 17:31:00       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "232669 2024-11-09 17:37:36       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "232992 2024-11-09 17:41:00       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "234108 2024-11-09 17:55:24       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "241507 2024-11-09 21:31:43       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "241994 2024-11-09 21:38:34       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "243465 2024-11-09 21:57:14       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "246063 2024-11-09 23:31:01       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "246382 2024-11-09 23:37:49       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "247205 2024-11-09 23:48:48       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "247536 2024-11-09 23:52:41       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "254949 2024-11-10 07:32:19       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "256263 2024-11-10 07:49:36       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "256591 2024-11-10 07:53:29       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "256919 2024-11-10 07:57:43       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "263372 2024-11-10 11:31:43       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "263750 2024-11-10 11:38:18       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "263768 2024-11-10 11:38:18       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "267078 2024-11-10 13:31:37       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "267531 2024-11-10 13:38:13       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "267532 2024-11-10 13:38:13       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "268018 2024-11-10 13:45:03       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "271911 2024-11-10 15:32:13       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "272354 2024-11-10 15:38:51       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "272363 2024-11-10 15:38:51       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "272634 2024-11-10 15:42:17       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "303784 2024-11-11 13:35:50       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "304010 2024-11-11 13:39:13       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "304235 2024-11-11 13:42:36       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "304738 2024-11-11 13:49:58       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "305059 2024-11-11 13:54:00       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "305322 2024-11-11 13:57:55       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "313920 2024-11-11 18:31:25       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "314331 2024-11-11 18:37:58       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "314928 2024-11-11 18:44:54       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "336232 2024-11-12 09:35:34       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "336955 2024-11-12 09:45:59       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "337595 2024-11-12 09:53:36       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "337918 2024-11-12 09:57:49       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "340469 2024-11-12 11:44:34       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "340760 2024-11-12 11:48:07       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "340775 2024-11-12 11:48:07       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "374525 2024-11-13 07:35:15       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "375387 2024-11-13 07:48:29       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "386368 2024-11-13 13:37:27       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "387133 2024-11-13 13:47:33       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "387144 2024-11-13 13:47:33       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "390232 2024-11-13 15:33:42       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "390463 2024-11-13 15:37:01       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "390866 2024-11-13 15:43:31       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "391482 2024-11-13 15:50:54       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "391712 2024-11-13 15:54:51       ČD  Praha hl.n.  Bruxelles-Midi   \n",
       "\n",
       "                    odjezd         predstih  predstih_d  predstih_h    cena  \\\n",
       "37342  2024-11-03 18:05:00  0 days 19:10:14           0   19.170556     NaN   \n",
       "37829  2024-11-05 18:05:00  2 days 19:01:47           2   67.029722     NaN   \n",
       "39735  2024-11-05 18:05:00  2 days 12:38:17           2   60.638056     NaN   \n",
       "40560  2024-11-10 18:05:00  7 days 12:26:08           7  180.435556     NaN   \n",
       "40910  2024-11-12 18:05:00  9 days 12:21:54           9  228.365000     NaN   \n",
       "41674  2024-11-03 18:05:00  0 days 11:31:18           0   11.521667     NaN   \n",
       "41895  2024-11-05 18:05:00  2 days 11:27:30           2   59.458333     NaN   \n",
       "43002  2024-11-10 18:05:00  7 days 11:11:26           7  179.190556     NaN   \n",
       "43335  2024-11-14 18:05:00 11 days 11:07:13          11  275.120278     NaN   \n",
       "53736  2024-11-03 18:05:00  0 days 01:01:35           0    1.026389     NaN   \n",
       "54562  2024-11-07 18:05:00  4 days 00:45:23           4   96.756389     NaN   \n",
       "55215  2024-11-24 18:05:00 21 days 00:33:26          21  504.557222     NaN   \n",
       "61876  2024-11-05 18:05:00  1 days 08:53:51           1   32.897500     NaN   \n",
       "62358  2024-11-07 18:05:00  3 days 08:45:30           3   80.758333     NaN   \n",
       "62636  2024-11-10 18:05:00  6 days 08:41:34           6  152.692778     NaN   \n",
       "63981  2024-11-05 18:05:00  1 days 06:37:06           1   30.618333     NaN   \n",
       "65036  2024-11-10 18:05:00  6 days 06:17:03           6  150.284167     NaN   \n",
       "65340  2024-11-17 18:05:00 13 days 06:12:51          13  318.214167     NaN   \n",
       "65674  2024-11-26 18:05:00 22 days 06:08:14          22  534.137222     NaN   \n",
       "66451  2024-11-07 18:05:00  3 days 05:26:58           3   77.449444     NaN   \n",
       "66895  2024-11-07 18:05:00  3 days 05:19:04           3   77.317778  2296.0   \n",
       "67484  2024-11-10 18:05:00  6 days 05:11:06           6  149.185000     NaN   \n",
       "67823  2024-11-17 18:05:00 13 days 05:06:53          13  317.114722     NaN   \n",
       "71650  2024-11-07 18:05:00  3 days 00:46:32           3   72.775556     NaN   \n",
       "72606  2024-12-01 18:05:00 27 days 00:28:33          27  648.475833     NaN   \n",
       "86286  2024-11-10 18:05:00  5 days 08:19:14           5  128.320556  4618.0   \n",
       "86294  2024-11-12 18:05:00  7 days 08:19:14           7  176.320556     NaN   \n",
       "86872  2024-12-03 18:05:00 28 days 08:10:34          28  680.176111  1780.0   \n",
       "87509  2024-11-05 18:05:00  0 days 06:33:46           0    6.562778     NaN   \n",
       "88692  2024-11-14 18:05:00  9 days 06:14:23           9  222.239722     NaN   \n",
       "90070  2024-11-07 18:05:00  2 days 04:45:39           2   52.760833  3328.0   \n",
       "90443  2024-11-10 18:05:00  5 days 04:37:59           5  124.633056     NaN   \n",
       "91042  2024-11-14 18:05:00  9 days 04:30:00           9  220.500000     NaN   \n",
       "91355  2024-11-24 18:05:00 19 days 04:25:54          19  460.431667     NaN   \n",
       "96216  2024-11-07 18:05:00  1 days 23:28:05           1   47.468056     NaN   \n",
       "97988  2024-11-26 18:05:00 20 days 22:59:01          20  502.983611     NaN   \n",
       "98404  2024-11-07 18:05:00  1 days 20:39:16           1   44.654444     NaN   \n",
       "98989  2024-11-10 18:05:00  4 days 20:28:04           4  116.467778     NaN   \n",
       "99623  2024-11-19 18:05:00 13 days 20:20:07          13  332.335278     NaN   \n",
       "107679 2024-11-07 18:05:00  1 days 09:28:24           1   33.473333     NaN   \n",
       "108903 2024-11-12 18:05:00  6 days 09:09:18           6  153.155000     NaN   \n",
       "109552 2024-11-28 18:05:00 22 days 09:00:45          22  537.012500     NaN   \n",
       "112704 2024-11-07 18:05:00  1 days 04:37:45           1   28.629167  3328.0   \n",
       "113436 2024-11-10 18:05:00  4 days 04:25:54           4  100.431667     NaN   \n",
       "113702 2024-11-12 18:05:00  6 days 04:21:56           6  148.365556     NaN   \n",
       "113996 2024-11-17 18:05:00 11 days 04:17:52          11  268.297778  2812.0   \n",
       "114309 2024-12-01 18:05:00 25 days 04:13:09          25  604.219167  3586.0   \n",
       "115064 2024-11-07 18:05:00  1 days 02:50:51           1   26.847500     NaN   \n",
       "115855 2024-11-12 18:05:00  6 days 02:39:23           6  146.656389     NaN   \n",
       "116115 2024-11-14 18:05:00  8 days 02:35:17           8  194.588056     NaN   \n",
       "118246 2024-11-12 18:05:00  6 days 00:24:11           6  144.403056     NaN   \n",
       "118503 2024-11-14 18:05:00  8 days 00:19:55           8  192.331944     NaN   \n",
       "119062 2024-12-05 18:05:00 29 days 00:10:25          29  696.173611     NaN   \n",
       "120270 2024-11-10 18:05:00  3 days 23:16:50           3   95.280556     NaN   \n",
       "120604 2024-11-12 18:05:00  5 days 23:12:25           5  143.206944     NaN   \n",
       "121228 2024-11-19 18:05:00 12 days 23:03:36          12  311.060000     NaN   \n",
       "121500 2024-12-03 18:05:00 26 days 22:58:39          26  646.977500     NaN   \n",
       "121878 2024-11-07 18:05:00  0 days 21:02:10           0   21.036111     NaN   \n",
       "122691 2024-11-10 18:05:00  3 days 20:50:35           3   92.843056     NaN   \n",
       "122948 2024-11-12 18:05:00  5 days 20:46:36           5  140.776667     NaN   \n",
       "123235 2024-11-14 18:05:00  7 days 20:42:27           7  188.707500     NaN   \n",
       "123763 2024-12-08 18:05:00 31 days 20:33:15          31  764.554167     NaN   \n",
       "135277 2024-11-07 18:05:00  0 days 09:31:03           0    9.517500     NaN   \n",
       "136072 2024-11-10 18:05:00  3 days 09:19:49           3   81.330278     NaN   \n",
       "136375 2024-11-12 18:05:00  5 days 09:15:54           5  129.265000     NaN   \n",
       "140442 2024-11-10 18:05:00  3 days 04:48:18           3   76.805000     NaN   \n",
       "140813 2024-11-10 18:05:00  3 days 04:40:35           3   76.676389     NaN   \n",
       "145210 2024-11-10 18:05:00  3 days 00:36:01           3   72.600278     NaN   \n",
       "145366 2024-11-10 18:05:00  3 days 00:32:20           3   72.538889     NaN   \n",
       "145780 2024-11-12 18:05:00  5 days 00:24:55           5  120.415278     NaN   \n",
       "146346 2024-11-17 18:05:00 10 days 00:16:53          10  240.281389     NaN   \n",
       "166987 2024-11-10 18:05:00  2 days 06:35:43           2   54.595278     NaN   \n",
       "167178 2024-11-10 18:05:00  2 days 06:32:27           2   54.540833     NaN   \n",
       "167991 2024-11-14 18:05:00  6 days 06:21:54           6  150.365000     NaN   \n",
       "168278 2024-11-17 18:05:00  9 days 06:18:15           9  222.304167  2812.0   \n",
       "168574 2024-11-21 18:05:00 13 days 06:14:30          13  318.241667  2296.0   \n",
       "174618 2024-11-10 18:05:00  2 days 02:56:07           2   50.935278     NaN   \n",
       "174840 2024-11-10 18:05:00  2 days 02:52:44           2   50.878889     NaN   \n",
       "176262 2024-11-24 18:05:00 16 days 02:34:34          16  386.576111     NaN   \n",
       "182912 2024-11-10 18:05:00  1 days 22:50:56           1   46.848889     NaN   \n",
       "191232 2024-11-10 18:05:00  1 days 19:53:58           1   43.899444     NaN   \n",
       "193668 2024-11-14 18:05:00  5 days 19:39:45           5  139.662500     NaN   \n",
       "194975 2024-11-19 18:05:00 10 days 19:35:38          10  259.593889     NaN   \n",
       "204960 2024-11-10 18:05:00  1 days 12:30:52           1   36.514444     NaN   \n",
       "205170 2024-11-12 18:05:00  3 days 12:27:28           3   84.457778     NaN   \n",
       "206211 2024-11-19 18:05:00 10 days 12:13:38          10  252.227222     NaN   \n",
       "206555 2024-11-24 18:05:00 15 days 12:09:48          15  372.163333     NaN   \n",
       "209183 2024-11-10 18:05:00  1 days 10:30:04           1   34.501111     NaN   \n",
       "210472 2024-11-17 18:05:00  8 days 10:12:31           8  202.208611     NaN   \n",
       "211049 2024-12-01 18:05:00 22 days 10:04:48          22  538.080000     NaN   \n",
       "227985 2024-11-10 18:05:00  1 days 02:30:45           1   26.512500     NaN   \n",
       "228256 2024-11-12 18:05:00  3 days 02:27:21           3   74.455833     NaN   \n",
       "228570 2024-11-12 18:05:00  3 days 02:23:55           3   74.398611  1780.0   \n",
       "228878 2024-11-14 18:05:00  5 days 02:20:28           5  122.341111  2296.0   \n",
       "229213 2024-11-17 18:05:00  8 days 02:17:03           8  194.284167     NaN   \n",
       "229485 2024-11-19 18:05:00 10 days 02:13:30          10  242.225000     NaN   \n",
       "232289 2024-11-10 18:05:00  1 days 00:34:00           1   24.566667     NaN   \n",
       "232669 2024-11-12 18:05:00  3 days 00:27:24           3   72.456667     NaN   \n",
       "232992 2024-11-12 18:05:00  3 days 00:24:00           3   72.400000  1780.0   \n",
       "234108 2024-12-05 18:05:00 26 days 00:09:36          26  624.160000  2812.0   \n",
       "241507 2024-11-10 18:05:00  0 days 20:33:17           0   20.554722     NaN   \n",
       "241994 2024-11-12 18:05:00  2 days 20:26:26           2   68.440556     NaN   \n",
       "243465 2024-11-28 18:05:00 18 days 20:07:46          18  452.129444     NaN   \n",
       "246063 2024-11-10 18:05:00  0 days 18:33:59           0   18.566389     NaN   \n",
       "246382 2024-11-12 18:05:00  2 days 18:27:11           2   66.453056     NaN   \n",
       "247205 2024-11-17 18:05:00  7 days 18:16:12           7  186.270000     NaN   \n",
       "247536 2024-11-26 18:05:00 16 days 18:12:19          16  402.205278     NaN   \n",
       "254949 2024-11-10 18:05:00  0 days 10:32:41           0   10.544722     NaN   \n",
       "256263 2024-11-17 18:05:00  7 days 10:15:24           7  178.256667     NaN   \n",
       "256591 2024-11-24 18:05:00 14 days 10:11:31          14  346.191944     NaN   \n",
       "256919 2024-12-01 18:05:00 21 days 10:07:17          21  514.121389     NaN   \n",
       "263372 2024-11-10 18:05:00  0 days 06:33:17           0    6.554722     NaN   \n",
       "263750 2024-11-12 18:05:00  2 days 06:26:42           2   54.445000  1780.0   \n",
       "263768 2024-11-14 18:05:00  4 days 06:26:42           4  102.445000     NaN   \n",
       "267078 2024-11-10 18:05:00  0 days 04:33:23           0    4.556389  3328.0   \n",
       "267531 2024-11-12 18:05:00  2 days 04:26:47           2   52.446389     NaN   \n",
       "267532 2024-11-14 18:05:00  4 days 04:26:47           4  100.446389     NaN   \n",
       "268018 2024-11-14 18:05:00  4 days 04:19:57           4  100.332500  2296.0   \n",
       "271911 2024-11-10 18:05:00  0 days 02:32:47           0    2.546389     NaN   \n",
       "272354 2024-11-12 18:05:00  2 days 02:26:09           2   50.435833  1780.0   \n",
       "272363 2024-11-14 18:05:00  4 days 02:26:09           4   98.435833     NaN   \n",
       "272634 2024-11-14 18:05:00  4 days 02:22:43           4   98.378611     NaN   \n",
       "303784 2024-11-12 18:05:00  1 days 04:29:10           1   28.486111  1780.0   \n",
       "304010 2024-11-14 18:05:00  3 days 04:25:47           3   76.429722     NaN   \n",
       "304235 2024-11-14 18:05:00  3 days 04:22:24           3   76.373333     NaN   \n",
       "304738 2024-11-17 18:05:00  6 days 04:15:02           6  148.250556  2812.0   \n",
       "305059 2024-11-24 18:05:00 13 days 04:11:00          13  316.183333     NaN   \n",
       "305322 2024-11-28 18:05:00 17 days 04:07:05          17  412.118056     NaN   \n",
       "313920 2024-11-12 18:05:00  0 days 23:33:35           0   23.559722     NaN   \n",
       "314331 2024-11-14 18:05:00  2 days 23:27:02           2   71.450556     NaN   \n",
       "314928 2024-11-17 18:05:00  5 days 23:20:06           5  143.335000     NaN   \n",
       "336232 2024-11-14 18:05:00  2 days 08:29:26           2   56.490556     NaN   \n",
       "336955 2024-11-17 18:05:00  5 days 08:19:01           5  128.316944     NaN   \n",
       "337595 2024-11-26 18:05:00 14 days 08:11:24          14  344.190000     NaN   \n",
       "337918 2024-12-05 18:05:00 23 days 08:07:11          23  560.119722     NaN   \n",
       "340469 2024-11-17 18:05:00  5 days 06:20:26           5  126.340556  2812.0   \n",
       "340760 2024-11-21 18:05:00  9 days 06:16:53           9  222.281389     NaN   \n",
       "340775 2024-11-19 18:05:00  7 days 06:16:53           7  174.281389  1780.0   \n",
       "374525 2024-11-14 18:05:00  1 days 10:29:45           1   34.495833     NaN   \n",
       "375387 2024-11-19 18:05:00  6 days 10:16:31           6  154.275278     NaN   \n",
       "386368 2024-11-17 18:05:00  4 days 04:27:33           4  100.459167     NaN   \n",
       "387133 2024-11-19 18:05:00  6 days 04:17:27           6  148.290833  1780.0   \n",
       "387144 2024-11-21 18:05:00  8 days 04:17:27           8  196.290833     NaN   \n",
       "390232 2024-11-14 18:05:00  1 days 02:31:18           1   26.521667     NaN   \n",
       "390463 2024-11-17 18:05:00  4 days 02:27:59           4   98.466389     NaN   \n",
       "390866 2024-11-17 18:05:00  4 days 02:21:29           4   98.358056  2812.0   \n",
       "391482 2024-11-28 18:05:00 15 days 02:14:06          15  362.235000     NaN   \n",
       "391712 2024-12-01 18:05:00 18 days 02:10:09          18  434.169167     NaN   \n",
       "\n",
       "       prostredek  volnych_mist                        obsazenost  \\\n",
       "37342        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "37829        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "39735        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "40560        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "40910        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "41674        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "41895        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "43002        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "43335        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "53736        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "54562        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "55215        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "61876        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "62358        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "62636        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "63981        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "65036        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "65340        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "65674        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "66451        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "66895        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "67484        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "67823        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "71650        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "72606        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "86286        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "86294        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "86872        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "87509        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "88692        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "90070        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "90443        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "91042        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "91355        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "96216        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "97988        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "98404        vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "98989        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "99623        vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "107679       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "108903       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "109552       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "112704       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "113436       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "113702       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "113996       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "114309       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "115064       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "115855       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "116115       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "118246       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "118503       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "119062       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "120270       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "120604       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "121228       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "121500       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "121878       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "122691       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "122948       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "123235       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "123763       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "135277       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "136072       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "136375       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "140442       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "140813       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "145210       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "145366       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "145780       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "146346       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "166987       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "167178       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "167991       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "168278       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "168574       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "174618       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "174840       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "176262       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "182912       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "191232       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "193668       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "194975       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "204960       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "205170       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "206211       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "206555       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "209183       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "210472       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "211049       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "227985       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "228256       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "228570       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "228878       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "229213       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "229485       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "232289       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "232669       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "232992       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "234108       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "241507       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "241994       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "243465       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "246063       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "246382       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "247205       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "247536       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "254949       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "256263       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "256591       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "256919       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "263372       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "263750       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "263768       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "267078       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "267531       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "267532       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "268018       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "271911       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "272354       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "272363       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "272634       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "303784       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "304010       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "304235       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "304738       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "305059       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "305322       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "313920       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "314331       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "314928       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "336232       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "336955       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "337595       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "337918       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "340469       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "340760       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "340775       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "374525       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "375387       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "386368       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "387133       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "387144       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "390232       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "390463       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "390866       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "391482       vlak           NaN  [Téměr vyprodaná místa k sezení]   \n",
       "391712       vlak           NaN    [Předpokládané nízké obsazení]   \n",
       "\n",
       "        jizdni_doba  vzdalenost zpozdeni cena_poznamka den  prestupy  \\\n",
       "37342         922.0         NaN      [0]          None  ne         0   \n",
       "37829         922.0         NaN      [0]          None  út         0   \n",
       "39735         922.0         NaN      [0]          None  út         0   \n",
       "40560         922.0         NaN      [0]          None  ne         0   \n",
       "40910         922.0         NaN      [0]          None  út         0   \n",
       "41674         922.0         NaN      [0]          None  ne         0   \n",
       "41895         922.0         NaN      [0]          None  út         0   \n",
       "43002         922.0         NaN      [0]          None  ne         0   \n",
       "43335         922.0         NaN      [0]          None  čt         0   \n",
       "53736         922.0         NaN      [0]          None  ne         0   \n",
       "54562         922.0         NaN      [0]          None  čt         0   \n",
       "55215         922.0         NaN      [0]          None  ne         0   \n",
       "61876         922.0         NaN      [0]          None  út         0   \n",
       "62358         922.0         NaN      [0]          None  čt         0   \n",
       "62636         922.0         NaN      [0]  Zjistit cenu  ne         0   \n",
       "63981         922.0         NaN      [0]          None  út         0   \n",
       "65036         922.0         NaN      [0]          None  ne         0   \n",
       "65340         922.0         NaN      [0]          None  ne         0   \n",
       "65674         922.0         NaN      [0]          None  út         0   \n",
       "66451         922.0         NaN      [0]  Zjistit cenu  čt         0   \n",
       "66895         922.0         NaN      [0]          None  čt         0   \n",
       "67484         922.0         NaN      [0]          None  ne         0   \n",
       "67823         922.0         NaN      [0]          None  ne         0   \n",
       "71650         922.0         NaN      [0]          None  čt         0   \n",
       "72606         922.0         NaN      [0]          None  ne         0   \n",
       "86286         922.0         NaN      [0]          None  ne         0   \n",
       "86294         922.0         NaN      [0]          None  út         0   \n",
       "86872         922.0         NaN      [0]          None  út         0   \n",
       "87509         922.0         NaN      [0]          None  út         0   \n",
       "88692         922.0         NaN      [0]          None  čt         0   \n",
       "90070         922.0         NaN      [0]          None  čt         0   \n",
       "90443         922.0         NaN      [0]          None  ne         0   \n",
       "91042         922.0         NaN      [0]          None  čt         0   \n",
       "91355         922.0         NaN      [0]          None  ne         0   \n",
       "96216         922.0         NaN      [0]          None  čt         0   \n",
       "97988         922.0         NaN      [0]  Zjistit cenu  út         0   \n",
       "98404         922.0         NaN      [0]          None  čt         0   \n",
       "98989         922.0         NaN      [0]          None  ne         0   \n",
       "99623         922.0         NaN      [0]          None  út         0   \n",
       "107679        922.0         NaN      [0]          None  čt         0   \n",
       "108903        922.0         NaN      [0]          None  út         0   \n",
       "109552        922.0         NaN      [0]          None  čt         0   \n",
       "112704        922.0         NaN      [0]          None  čt         0   \n",
       "113436        922.0         NaN      [0]          None  ne         0   \n",
       "113702        922.0         NaN      [0]          None  út         0   \n",
       "113996        922.0         NaN      [0]          None  ne         0   \n",
       "114309        922.0         NaN      [0]          None  ne         0   \n",
       "115064        922.0         NaN      [0]          None  čt         0   \n",
       "115855        922.0         NaN      [0]          None  út         0   \n",
       "116115        922.0         NaN      [0]          None  čt         0   \n",
       "118246        922.0         NaN      [0]          None  út         0   \n",
       "118503        922.0         NaN      [0]          None  čt         0   \n",
       "119062        922.0         NaN      [0]          None  čt         0   \n",
       "120270        922.0         NaN      [0]          None  ne         0   \n",
       "120604        922.0         NaN      [0]          None  út         0   \n",
       "121228        922.0         NaN      [0]          None  út         0   \n",
       "121500        922.0         NaN      [0]          None  út         0   \n",
       "121878        922.0         NaN      [0]          None  čt         0   \n",
       "122691        922.0         NaN      [0]          None  ne         0   \n",
       "122948        922.0         NaN      [0]          None  út         0   \n",
       "123235        922.0         NaN      [0]          None  čt         0   \n",
       "123763        922.0         NaN      [0]          None  ne         0   \n",
       "135277        922.0         NaN      [0]          None  čt         0   \n",
       "136072        922.0         NaN      [0]          None  ne         0   \n",
       "136375        922.0         NaN      [0]          None  út         0   \n",
       "140442        922.0         NaN      [0]          None  ne         0   \n",
       "140813        922.0         NaN      [0]          None  ne         0   \n",
       "145210        922.0         NaN      [0]          None  ne         0   \n",
       "145366        922.0         NaN      [0]          None  ne         0   \n",
       "145780        922.0         NaN      [0]          None  út         0   \n",
       "146346        922.0         NaN      [0]          None  ne         0   \n",
       "166987        922.0         NaN      [0]          None  ne         0   \n",
       "167178        922.0         NaN      [0]          None  ne         0   \n",
       "167991        922.0         NaN      [0]          None  čt         0   \n",
       "168278        922.0         NaN      [0]          None  ne         0   \n",
       "168574        922.0         NaN      [0]          None  čt         0   \n",
       "174618        922.0         NaN      [0]          None  ne         0   \n",
       "174840        922.0         NaN      [0]          None  ne         0   \n",
       "176262        922.0         NaN      [0]          None  ne         0   \n",
       "182912        922.0         NaN      [0]          None  ne         0   \n",
       "191232        922.0         NaN      [0]          None  ne         0   \n",
       "193668        922.0         NaN      [0]          None  čt         0   \n",
       "194975        922.0         NaN      [0]          None  út         0   \n",
       "204960        922.0         NaN      [0]          None  ne         0   \n",
       "205170        922.0         NaN      [0]          None  út         0   \n",
       "206211        922.0         NaN      [0]          None  út         0   \n",
       "206555        922.0         NaN      [0]          None  ne         0   \n",
       "209183        922.0         NaN      [0]          None  ne         0   \n",
       "210472        922.0         NaN      [0]          None  ne         0   \n",
       "211049        922.0         NaN      [0]          None  ne         0   \n",
       "227985        922.0         NaN      [0]          None  ne         0   \n",
       "228256        922.0         NaN      [0]          None  út         0   \n",
       "228570        922.0         NaN      [0]          None  út         0   \n",
       "228878        922.0         NaN      [0]          None  čt         0   \n",
       "229213        922.0         NaN      [0]          None  ne         0   \n",
       "229485        922.0         NaN      [0]          None  út         0   \n",
       "232289        922.0         NaN      [0]          None  ne         0   \n",
       "232669        922.0         NaN      [0]          None  út         0   \n",
       "232992        922.0         NaN      [0]          None  út         0   \n",
       "234108        922.0         NaN      [0]          None  čt         0   \n",
       "241507        922.0         NaN      [0]          None  ne         0   \n",
       "241994        922.0         NaN      [0]          None  út         0   \n",
       "243465        922.0         NaN      [0]          None  čt         0   \n",
       "246063        922.0         NaN      [0]          None  ne         0   \n",
       "246382        922.0         NaN      [0]          None  út         0   \n",
       "247205        922.0         NaN      [0]          None  ne         0   \n",
       "247536        922.0         NaN      [0]  Zjistit cenu  út         0   \n",
       "254949        922.0         NaN      [0]          None  ne         0   \n",
       "256263        922.0         NaN      [0]          None  ne         0   \n",
       "256591        922.0         NaN      [0]          None  ne         0   \n",
       "256919        922.0         NaN      [0]          None  ne         0   \n",
       "263372        922.0         NaN      [0]          None  ne         0   \n",
       "263750        922.0         NaN      [0]          None  út         0   \n",
       "263768        922.0         NaN      [0]          None  čt         0   \n",
       "267078        922.0         NaN      [0]          None  ne         0   \n",
       "267531        922.0         NaN      [0]          None  út         0   \n",
       "267532        922.0         NaN      [0]          None  čt         0   \n",
       "268018        922.0         NaN      [0]          None  čt         0   \n",
       "271911        922.0         NaN      [0]          None  ne         0   \n",
       "272354        922.0         NaN      [0]          None  út         0   \n",
       "272363        922.0         NaN      [0]          None  čt         0   \n",
       "272634        922.0         NaN      [0]          None  čt         0   \n",
       "303784        922.0         NaN      [0]          None  út         0   \n",
       "304010        922.0         NaN      [0]          None  čt         0   \n",
       "304235        922.0         NaN      [0]          None  čt         0   \n",
       "304738        922.0         NaN      [0]          None  ne         0   \n",
       "305059        922.0         NaN      [0]          None  ne         0   \n",
       "305322        922.0         NaN      [0]          None  čt         0   \n",
       "313920        922.0         NaN      [0]          None  út         0   \n",
       "314331        922.0         NaN      [0]          None  čt         0   \n",
       "314928        922.0         NaN      [0]          None  ne         0   \n",
       "336232        922.0         NaN      [0]          None  čt         0   \n",
       "336955        922.0         NaN      [0]          None  ne         0   \n",
       "337595        922.0         NaN      [0]          None  út         0   \n",
       "337918        922.0         NaN      [0]          None  čt         0   \n",
       "340469        922.0         NaN      [0]          None  ne         0   \n",
       "340760        922.0         NaN      [0]          None  čt         0   \n",
       "340775        922.0         NaN      [0]          None  út         0   \n",
       "374525        922.0         NaN      [0]          None  čt         0   \n",
       "375387        922.0         NaN      [0]          None  út         0   \n",
       "386368        922.0         NaN      [0]          None  ne         0   \n",
       "387133        922.0         NaN      [0]          None  út         0   \n",
       "387144        922.0         NaN      [0]          None  čt         0   \n",
       "390232        922.0         NaN      [0]          None  čt         0   \n",
       "390463        922.0         NaN      [0]          None  ne         0   \n",
       "390866        922.0         NaN      [0]          None  ne         0   \n",
       "391482        922.0         NaN      [0]          None  čt         0   \n",
       "391712        922.0         NaN      [0]          None  ne         0   \n",
       "\n",
       "                            vlaky mistenka_zdarma nahradni_bus  \\\n",
       "37342   [ES 452 European Sleeper]            None         None   \n",
       "37829   [ES 452 European Sleeper]            None         None   \n",
       "39735   [ES 452 European Sleeper]            None         None   \n",
       "40560   [ES 452 European Sleeper]            None         None   \n",
       "40910   [ES 452 European Sleeper]            None         None   \n",
       "41674   [ES 452 European Sleeper]            None         None   \n",
       "41895   [ES 452 European Sleeper]            None         None   \n",
       "43002   [ES 452 European Sleeper]            None         None   \n",
       "43335   [ES 452 European Sleeper]            None         None   \n",
       "53736   [ES 452 European Sleeper]            None         None   \n",
       "54562   [ES 452 European Sleeper]            None         None   \n",
       "55215   [ES 452 European Sleeper]            None         None   \n",
       "61876   [ES 452 European Sleeper]            None         None   \n",
       "62358   [ES 452 European Sleeper]            None         None   \n",
       "62636   [ES 452 European Sleeper]            None         None   \n",
       "63981   [ES 452 European Sleeper]            None         None   \n",
       "65036   [ES 452 European Sleeper]            None         None   \n",
       "65340   [ES 452 European Sleeper]            None         None   \n",
       "65674   [ES 452 European Sleeper]            None         None   \n",
       "66451   [ES 452 European Sleeper]            None         None   \n",
       "66895   [ES 452 European Sleeper]            None         None   \n",
       "67484   [ES 452 European Sleeper]            None         None   \n",
       "67823   [ES 452 European Sleeper]            None         None   \n",
       "71650   [ES 452 European Sleeper]            None         None   \n",
       "72606   [ES 452 European Sleeper]            None         None   \n",
       "86286   [ES 452 European Sleeper]            None         None   \n",
       "86294   [ES 452 European Sleeper]            None         None   \n",
       "86872   [ES 452 European Sleeper]            None         None   \n",
       "87509   [ES 452 European Sleeper]            None         None   \n",
       "88692   [ES 452 European Sleeper]            None         None   \n",
       "90070   [ES 452 European Sleeper]            None         None   \n",
       "90443   [ES 452 European Sleeper]            None         None   \n",
       "91042   [ES 452 European Sleeper]            None         None   \n",
       "91355   [ES 452 European Sleeper]            None         None   \n",
       "96216   [ES 452 European Sleeper]            None         None   \n",
       "97988   [ES 452 European Sleeper]            None         None   \n",
       "98404   [ES 452 European Sleeper]            None         None   \n",
       "98989   [ES 452 European Sleeper]            None         None   \n",
       "99623   [ES 452 European Sleeper]            None         None   \n",
       "107679  [ES 452 European Sleeper]            None         None   \n",
       "108903  [ES 452 European Sleeper]            None         None   \n",
       "109552  [ES 452 European Sleeper]            None         None   \n",
       "112704  [ES 452 European Sleeper]            None         None   \n",
       "113436  [ES 452 European Sleeper]            None         None   \n",
       "113702  [ES 452 European Sleeper]            None         None   \n",
       "113996  [ES 452 European Sleeper]            None         None   \n",
       "114309  [ES 452 European Sleeper]            None         None   \n",
       "115064  [ES 452 European Sleeper]            None         None   \n",
       "115855  [ES 452 European Sleeper]            None         None   \n",
       "116115  [ES 452 European Sleeper]            None         None   \n",
       "118246  [ES 452 European Sleeper]            None         None   \n",
       "118503  [ES 452 European Sleeper]            None         None   \n",
       "119062  [ES 452 European Sleeper]            None         None   \n",
       "120270  [ES 452 European Sleeper]            None         None   \n",
       "120604  [ES 452 European Sleeper]            None         None   \n",
       "121228  [ES 452 European Sleeper]            None         None   \n",
       "121500  [ES 452 European Sleeper]            None         None   \n",
       "121878  [ES 452 European Sleeper]            None         None   \n",
       "122691  [ES 452 European Sleeper]            None         None   \n",
       "122948  [ES 452 European Sleeper]            None         None   \n",
       "123235  [ES 452 European Sleeper]            None         None   \n",
       "123763  [ES 452 European Sleeper]            None         None   \n",
       "135277  [ES 452 European Sleeper]            None         None   \n",
       "136072  [ES 452 European Sleeper]            None         None   \n",
       "136375  [ES 452 European Sleeper]            None         None   \n",
       "140442  [ES 452 European Sleeper]            None         None   \n",
       "140813  [ES 452 European Sleeper]            None         None   \n",
       "145210  [ES 452 European Sleeper]            None         None   \n",
       "145366  [ES 452 European Sleeper]            None         None   \n",
       "145780  [ES 452 European Sleeper]            None         None   \n",
       "146346  [ES 452 European Sleeper]            None         None   \n",
       "166987  [ES 452 European Sleeper]            None         None   \n",
       "167178  [ES 452 European Sleeper]            None         None   \n",
       "167991  [ES 452 European Sleeper]            None         None   \n",
       "168278  [ES 452 European Sleeper]            None         None   \n",
       "168574  [ES 452 European Sleeper]            None         None   \n",
       "174618  [ES 452 European Sleeper]            None         None   \n",
       "174840  [ES 452 European Sleeper]            None         None   \n",
       "176262  [ES 452 European Sleeper]            None         None   \n",
       "182912  [ES 452 European Sleeper]            None         None   \n",
       "191232  [ES 452 European Sleeper]            None         None   \n",
       "193668  [ES 452 European Sleeper]            None         None   \n",
       "194975  [ES 452 European Sleeper]            None         None   \n",
       "204960  [ES 452 European Sleeper]            None         None   \n",
       "205170  [ES 452 European Sleeper]            None         None   \n",
       "206211  [ES 452 European Sleeper]            None         None   \n",
       "206555  [ES 452 European Sleeper]            None         None   \n",
       "209183  [ES 452 European Sleeper]            None         None   \n",
       "210472  [ES 452 European Sleeper]            None         None   \n",
       "211049  [ES 452 European Sleeper]            None         None   \n",
       "227985  [ES 452 European Sleeper]            None         None   \n",
       "228256  [ES 452 European Sleeper]            None         None   \n",
       "228570  [ES 452 European Sleeper]            None         None   \n",
       "228878  [ES 452 European Sleeper]            None         None   \n",
       "229213  [ES 452 European Sleeper]            None         None   \n",
       "229485  [ES 452 European Sleeper]            None         None   \n",
       "232289  [ES 452 European Sleeper]            None         None   \n",
       "232669  [ES 452 European Sleeper]            None         None   \n",
       "232992  [ES 452 European Sleeper]            None         None   \n",
       "234108  [ES 452 European Sleeper]            None         None   \n",
       "241507  [ES 452 European Sleeper]            None         None   \n",
       "241994  [ES 452 European Sleeper]            None         None   \n",
       "243465  [ES 452 European Sleeper]            None         None   \n",
       "246063  [ES 452 European Sleeper]            None         None   \n",
       "246382  [ES 452 European Sleeper]            None         None   \n",
       "247205  [ES 452 European Sleeper]            None         None   \n",
       "247536  [ES 452 European Sleeper]            None         None   \n",
       "254949  [ES 452 European Sleeper]            None         None   \n",
       "256263  [ES 452 European Sleeper]            None         None   \n",
       "256591  [ES 452 European Sleeper]            None         None   \n",
       "256919  [ES 452 European Sleeper]            None         None   \n",
       "263372  [ES 452 European Sleeper]            None         None   \n",
       "263750  [ES 452 European Sleeper]            None         None   \n",
       "263768  [ES 452 European Sleeper]            None         None   \n",
       "267078  [ES 452 European Sleeper]            None         None   \n",
       "267531  [ES 452 European Sleeper]            None         None   \n",
       "267532  [ES 452 European Sleeper]            None         None   \n",
       "268018  [ES 452 European Sleeper]            None         None   \n",
       "271911  [ES 452 European Sleeper]            None         None   \n",
       "272354  [ES 452 European Sleeper]            None         None   \n",
       "272363  [ES 452 European Sleeper]            None         None   \n",
       "272634  [ES 452 European Sleeper]            None         None   \n",
       "303784  [ES 452 European Sleeper]            None         None   \n",
       "304010  [ES 452 European Sleeper]            None         None   \n",
       "304235  [ES 452 European Sleeper]            None         None   \n",
       "304738  [ES 452 European Sleeper]            None         None   \n",
       "305059  [ES 452 European Sleeper]            None         None   \n",
       "305322  [ES 452 European Sleeper]            None         None   \n",
       "313920  [ES 452 European Sleeper]            None         None   \n",
       "314331  [ES 452 European Sleeper]            None         None   \n",
       "314928  [ES 452 European Sleeper]            None         None   \n",
       "336232  [ES 452 European Sleeper]            None         None   \n",
       "336955  [ES 452 European Sleeper]            None         None   \n",
       "337595  [ES 452 European Sleeper]            None         None   \n",
       "337918  [ES 452 European Sleeper]            None         None   \n",
       "340469  [ES 452 European Sleeper]            None         None   \n",
       "340760  [ES 452 European Sleeper]            None         None   \n",
       "340775  [ES 452 European Sleeper]            None         None   \n",
       "374525  [ES 452 European Sleeper]            None         None   \n",
       "375387  [ES 452 European Sleeper]            None         None   \n",
       "386368  [ES 452 European Sleeper]            None         None   \n",
       "387133  [ES 452 European Sleeper]            None         None   \n",
       "387144  [ES 452 European Sleeper]            None         None   \n",
       "390232  [ES 452 European Sleeper]            None         None   \n",
       "390463  [ES 452 European Sleeper]            None         None   \n",
       "390866  [ES 452 European Sleeper]            None         None   \n",
       "391482  [ES 452 European Sleeper]            None         None   \n",
       "391712  [ES 452 European Sleeper]            None         None   \n",
       "\n",
       "        volna_mista_economy  volna_mista_economy_plus  \\\n",
       "37342                   NaN                       NaN   \n",
       "37829                   NaN                       NaN   \n",
       "39735                   NaN                       NaN   \n",
       "40560                   NaN                       NaN   \n",
       "40910                   NaN                       NaN   \n",
       "41674                   NaN                       NaN   \n",
       "41895                   NaN                       NaN   \n",
       "43002                   NaN                       NaN   \n",
       "43335                   NaN                       NaN   \n",
       "53736                   NaN                       NaN   \n",
       "54562                   NaN                       NaN   \n",
       "55215                   NaN                       NaN   \n",
       "61876                   NaN                       NaN   \n",
       "62358                   NaN                       NaN   \n",
       "62636                   NaN                       NaN   \n",
       "63981                   NaN                       NaN   \n",
       "65036                   NaN                       NaN   \n",
       "65340                   NaN                       NaN   \n",
       "65674                   NaN                       NaN   \n",
       "66451                   NaN                       NaN   \n",
       "66895                   NaN                       NaN   \n",
       "67484                   NaN                       NaN   \n",
       "67823                   NaN                       NaN   \n",
       "71650                   NaN                       NaN   \n",
       "72606                   NaN                       NaN   \n",
       "86286                   NaN                       NaN   \n",
       "86294                   NaN                       NaN   \n",
       "86872                   NaN                       NaN   \n",
       "87509                   NaN                       NaN   \n",
       "88692                   NaN                       NaN   \n",
       "90070                   NaN                       NaN   \n",
       "90443                   NaN                       NaN   \n",
       "91042                   NaN                       NaN   \n",
       "91355                   NaN                       NaN   \n",
       "96216                   NaN                       NaN   \n",
       "97988                   NaN                       NaN   \n",
       "98404                   NaN                       NaN   \n",
       "98989                   NaN                       NaN   \n",
       "99623                   NaN                       NaN   \n",
       "107679                  NaN                       NaN   \n",
       "108903                  NaN                       NaN   \n",
       "109552                  NaN                       NaN   \n",
       "112704                  NaN                       NaN   \n",
       "113436                  NaN                       NaN   \n",
       "113702                  NaN                       NaN   \n",
       "113996                  NaN                       NaN   \n",
       "114309                  NaN                       NaN   \n",
       "115064                  NaN                       NaN   \n",
       "115855                  NaN                       NaN   \n",
       "116115                  NaN                       NaN   \n",
       "118246                  NaN                       NaN   \n",
       "118503                  NaN                       NaN   \n",
       "119062                  NaN                       NaN   \n",
       "120270                  NaN                       NaN   \n",
       "120604                  NaN                       NaN   \n",
       "121228                  NaN                       NaN   \n",
       "121500                  NaN                       NaN   \n",
       "121878                  NaN                       NaN   \n",
       "122691                  NaN                       NaN   \n",
       "122948                  NaN                       NaN   \n",
       "123235                  NaN                       NaN   \n",
       "123763                  NaN                       NaN   \n",
       "135277                  NaN                       NaN   \n",
       "136072                  NaN                       NaN   \n",
       "136375                  NaN                       NaN   \n",
       "140442                  NaN                       NaN   \n",
       "140813                  NaN                       NaN   \n",
       "145210                  NaN                       NaN   \n",
       "145366                  NaN                       NaN   \n",
       "145780                  NaN                       NaN   \n",
       "146346                  NaN                       NaN   \n",
       "166987                  NaN                       NaN   \n",
       "167178                  NaN                       NaN   \n",
       "167991                  NaN                       NaN   \n",
       "168278                  NaN                       NaN   \n",
       "168574                  NaN                       NaN   \n",
       "174618                  NaN                       NaN   \n",
       "174840                  NaN                       NaN   \n",
       "176262                  NaN                       NaN   \n",
       "182912                  NaN                       NaN   \n",
       "191232                  NaN                       NaN   \n",
       "193668                  NaN                       NaN   \n",
       "194975                  NaN                       NaN   \n",
       "204960                  NaN                       NaN   \n",
       "205170                  NaN                       NaN   \n",
       "206211                  NaN                       NaN   \n",
       "206555                  NaN                       NaN   \n",
       "209183                  NaN                       NaN   \n",
       "210472                  NaN                       NaN   \n",
       "211049                  NaN                       NaN   \n",
       "227985                  NaN                       NaN   \n",
       "228256                  NaN                       NaN   \n",
       "228570                  NaN                       NaN   \n",
       "228878                  NaN                       NaN   \n",
       "229213                  NaN                       NaN   \n",
       "229485                  NaN                       NaN   \n",
       "232289                  NaN                       NaN   \n",
       "232669                  NaN                       NaN   \n",
       "232992                  NaN                       NaN   \n",
       "234108                  NaN                       NaN   \n",
       "241507                  NaN                       NaN   \n",
       "241994                  NaN                       NaN   \n",
       "243465                  NaN                       NaN   \n",
       "246063                  NaN                       NaN   \n",
       "246382                  NaN                       NaN   \n",
       "247205                  NaN                       NaN   \n",
       "247536                  NaN                       NaN   \n",
       "254949                  NaN                       NaN   \n",
       "256263                  NaN                       NaN   \n",
       "256591                  NaN                       NaN   \n",
       "256919                  NaN                       NaN   \n",
       "263372                  NaN                       NaN   \n",
       "263750                  NaN                       NaN   \n",
       "263768                  NaN                       NaN   \n",
       "267078                  NaN                       NaN   \n",
       "267531                  NaN                       NaN   \n",
       "267532                  NaN                       NaN   \n",
       "268018                  NaN                       NaN   \n",
       "271911                  NaN                       NaN   \n",
       "272354                  NaN                       NaN   \n",
       "272363                  NaN                       NaN   \n",
       "272634                  NaN                       NaN   \n",
       "303784                  NaN                       NaN   \n",
       "304010                  NaN                       NaN   \n",
       "304235                  NaN                       NaN   \n",
       "304738                  NaN                       NaN   \n",
       "305059                  NaN                       NaN   \n",
       "305322                  NaN                       NaN   \n",
       "313920                  NaN                       NaN   \n",
       "314331                  NaN                       NaN   \n",
       "314928                  NaN                       NaN   \n",
       "336232                  NaN                       NaN   \n",
       "336955                  NaN                       NaN   \n",
       "337595                  NaN                       NaN   \n",
       "337918                  NaN                       NaN   \n",
       "340469                  NaN                       NaN   \n",
       "340760                  NaN                       NaN   \n",
       "340775                  NaN                       NaN   \n",
       "374525                  NaN                       NaN   \n",
       "375387                  NaN                       NaN   \n",
       "386368                  NaN                       NaN   \n",
       "387133                  NaN                       NaN   \n",
       "387144                  NaN                       NaN   \n",
       "390232                  NaN                       NaN   \n",
       "390463                  NaN                       NaN   \n",
       "390866                  NaN                       NaN   \n",
       "391482                  NaN                       NaN   \n",
       "391712                  NaN                       NaN   \n",
       "\n",
       "        volna_mista_economy_business  volna_mista_premium  \n",
       "37342                            NaN                  NaN  \n",
       "37829                            NaN                  NaN  \n",
       "39735                            NaN                  NaN  \n",
       "40560                            NaN                  NaN  \n",
       "40910                            NaN                  NaN  \n",
       "41674                            NaN                  NaN  \n",
       "41895                            NaN                  NaN  \n",
       "43002                            NaN                  NaN  \n",
       "43335                            NaN                  NaN  \n",
       "53736                            NaN                  NaN  \n",
       "54562                            NaN                  NaN  \n",
       "55215                            NaN                  NaN  \n",
       "61876                            NaN                  NaN  \n",
       "62358                            NaN                  NaN  \n",
       "62636                            NaN                  NaN  \n",
       "63981                            NaN                  NaN  \n",
       "65036                            NaN                  NaN  \n",
       "65340                            NaN                  NaN  \n",
       "65674                            NaN                  NaN  \n",
       "66451                            NaN                  NaN  \n",
       "66895                            NaN                  NaN  \n",
       "67484                            NaN                  NaN  \n",
       "67823                            NaN                  NaN  \n",
       "71650                            NaN                  NaN  \n",
       "72606                            NaN                  NaN  \n",
       "86286                            NaN                  NaN  \n",
       "86294                            NaN                  NaN  \n",
       "86872                            NaN                  NaN  \n",
       "87509                            NaN                  NaN  \n",
       "88692                            NaN                  NaN  \n",
       "90070                            NaN                  NaN  \n",
       "90443                            NaN                  NaN  \n",
       "91042                            NaN                  NaN  \n",
       "91355                            NaN                  NaN  \n",
       "96216                            NaN                  NaN  \n",
       "97988                            NaN                  NaN  \n",
       "98404                            NaN                  NaN  \n",
       "98989                            NaN                  NaN  \n",
       "99623                            NaN                  NaN  \n",
       "107679                           NaN                  NaN  \n",
       "108903                           NaN                  NaN  \n",
       "109552                           NaN                  NaN  \n",
       "112704                           NaN                  NaN  \n",
       "113436                           NaN                  NaN  \n",
       "113702                           NaN                  NaN  \n",
       "113996                           NaN                  NaN  \n",
       "114309                           NaN                  NaN  \n",
       "115064                           NaN                  NaN  \n",
       "115855                           NaN                  NaN  \n",
       "116115                           NaN                  NaN  \n",
       "118246                           NaN                  NaN  \n",
       "118503                           NaN                  NaN  \n",
       "119062                           NaN                  NaN  \n",
       "120270                           NaN                  NaN  \n",
       "120604                           NaN                  NaN  \n",
       "121228                           NaN                  NaN  \n",
       "121500                           NaN                  NaN  \n",
       "121878                           NaN                  NaN  \n",
       "122691                           NaN                  NaN  \n",
       "122948                           NaN                  NaN  \n",
       "123235                           NaN                  NaN  \n",
       "123763                           NaN                  NaN  \n",
       "135277                           NaN                  NaN  \n",
       "136072                           NaN                  NaN  \n",
       "136375                           NaN                  NaN  \n",
       "140442                           NaN                  NaN  \n",
       "140813                           NaN                  NaN  \n",
       "145210                           NaN                  NaN  \n",
       "145366                           NaN                  NaN  \n",
       "145780                           NaN                  NaN  \n",
       "146346                           NaN                  NaN  \n",
       "166987                           NaN                  NaN  \n",
       "167178                           NaN                  NaN  \n",
       "167991                           NaN                  NaN  \n",
       "168278                           NaN                  NaN  \n",
       "168574                           NaN                  NaN  \n",
       "174618                           NaN                  NaN  \n",
       "174840                           NaN                  NaN  \n",
       "176262                           NaN                  NaN  \n",
       "182912                           NaN                  NaN  \n",
       "191232                           NaN                  NaN  \n",
       "193668                           NaN                  NaN  \n",
       "194975                           NaN                  NaN  \n",
       "204960                           NaN                  NaN  \n",
       "205170                           NaN                  NaN  \n",
       "206211                           NaN                  NaN  \n",
       "206555                           NaN                  NaN  \n",
       "209183                           NaN                  NaN  \n",
       "210472                           NaN                  NaN  \n",
       "211049                           NaN                  NaN  \n",
       "227985                           NaN                  NaN  \n",
       "228256                           NaN                  NaN  \n",
       "228570                           NaN                  NaN  \n",
       "228878                           NaN                  NaN  \n",
       "229213                           NaN                  NaN  \n",
       "229485                           NaN                  NaN  \n",
       "232289                           NaN                  NaN  \n",
       "232669                           NaN                  NaN  \n",
       "232992                           NaN                  NaN  \n",
       "234108                           NaN                  NaN  \n",
       "241507                           NaN                  NaN  \n",
       "241994                           NaN                  NaN  \n",
       "243465                           NaN                  NaN  \n",
       "246063                           NaN                  NaN  \n",
       "246382                           NaN                  NaN  \n",
       "247205                           NaN                  NaN  \n",
       "247536                           NaN                  NaN  \n",
       "254949                           NaN                  NaN  \n",
       "256263                           NaN                  NaN  \n",
       "256591                           NaN                  NaN  \n",
       "256919                           NaN                  NaN  \n",
       "263372                           NaN                  NaN  \n",
       "263750                           NaN                  NaN  \n",
       "263768                           NaN                  NaN  \n",
       "267078                           NaN                  NaN  \n",
       "267531                           NaN                  NaN  \n",
       "267532                           NaN                  NaN  \n",
       "268018                           NaN                  NaN  \n",
       "271911                           NaN                  NaN  \n",
       "272354                           NaN                  NaN  \n",
       "272363                           NaN                  NaN  \n",
       "272634                           NaN                  NaN  \n",
       "303784                           NaN                  NaN  \n",
       "304010                           NaN                  NaN  \n",
       "304235                           NaN                  NaN  \n",
       "304738                           NaN                  NaN  \n",
       "305059                           NaN                  NaN  \n",
       "305322                           NaN                  NaN  \n",
       "313920                           NaN                  NaN  \n",
       "314331                           NaN                  NaN  \n",
       "314928                           NaN                  NaN  \n",
       "336232                           NaN                  NaN  \n",
       "336955                           NaN                  NaN  \n",
       "337595                           NaN                  NaN  \n",
       "337918                           NaN                  NaN  \n",
       "340469                           NaN                  NaN  \n",
       "340760                           NaN                  NaN  \n",
       "340775                           NaN                  NaN  \n",
       "374525                           NaN                  NaN  \n",
       "375387                           NaN                  NaN  \n",
       "386368                           NaN                  NaN  \n",
       "387133                           NaN                  NaN  \n",
       "387144                           NaN                  NaN  \n",
       "390232                           NaN                  NaN  \n",
       "390463                           NaN                  NaN  \n",
       "390866                           NaN                  NaN  \n",
       "391482                           NaN                  NaN  \n",
       "391712                           NaN                  NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['odkud'].str.contains('Prah')) & (df['kam'].str.contains('Bru')) & (df['prestupy'] == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eb156b22-1b46-47d8-bb8c-f066621bb308",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predstih(odkud, kam, prodejce=['ČD','ARR','LE','RJ']):\n",
    "    dfp = df[(df['prodejce'].isin(prodejce)) & (df['odkud'].str.contains(odkud)) & (df['kam'].str.contains(kam))]\n",
    "    dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n",
    "    dfp = dfp.drop_duplicates(subset=[\"odjezd\",\"predstih_d2\"], keep=\"last\")\n",
    "    min_cas = dfp['jizdni_doba'].min()\n",
    "    min_prestupu = dfp['prestupy'].min()\n",
    "    print(dfp.groupby('cena')['predstih_d2'].min())\n",
    "    dfp[(dfp['jizdni_doba'] <= min_cas * 1.1) & (dfp['prestupy'] == min_prestupu)].plot.scatter(x='predstih_d2',y='cena')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b2545c88-b09e-4f40-a682-e79e0e452893",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "400.0      0\n",
      "490.0      0\n",
      "632.0      0\n",
      "679.0     46\n",
      "703.0      6\n",
      "722.0      0\n",
      "737.0      9\n",
      "757.0     42\n",
      "781.0      0\n",
      "815.0      0\n",
      "916.0      1\n",
      "936.0      0\n",
      "970.0      1\n",
      "1006.0     4\n",
      "1047.0     0\n",
      "1077.0     1\n",
      "1111.0     3\n",
      "1148.0     0\n",
      "1238.0     4\n",
      "1393.0     0\n",
      "1409.0     0\n",
      "1586.0     2\n",
      "2085.0     0\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Brati',prodejce=['ČD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f5332cba-2e4f-439b-bf27-1f560611a560",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "400.0      0\n",
      "490.0      0\n",
      "632.0      0\n",
      "679.0     46\n",
      "703.0      6\n",
      "722.0      0\n",
      "737.0      9\n",
      "757.0     42\n",
      "781.0      0\n",
      "815.0      0\n",
      "916.0      1\n",
      "936.0      0\n",
      "970.0      1\n",
      "1006.0     4\n",
      "1047.0     0\n",
      "1077.0     1\n",
      "1111.0     3\n",
      "1148.0     0\n",
      "1238.0     4\n",
      "1393.0     0\n",
      "1409.0     0\n",
      "1586.0     2\n",
      "2085.0     0\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Brati',prodejce=['ČD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ca3d0374-91af-4752-9124-4ebb67213a54",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "1522.0      0\n",
      "2038.0      3\n",
      "2554.0      7\n",
      "3070.0      0\n",
      "5477.0      0\n",
      "5578.0      0\n",
      "6009.0     13\n",
      "6207.0     40\n",
      "6215.0      0\n",
      "6228.0     40\n",
      "6311.0     10\n",
      "6318.0      0\n",
      "6458.0      1\n",
      "6468.0     13\n",
      "7033.0     80\n",
      "7730.0     12\n",
      "11644.0     0\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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M1K5du7R161ZrWmNjoyTpgQce0IwZMyRJt956q7Zt26ZFixZp+PDhl12faZpyuVzW+6//+3I1X5eTk6Pnn3++RWMBAAAdi0+cIcrKylJubq42bdqkmJgYa3pERIT8/PzUv39/r/p+/fpZd5lFRUWprq5OFRUVXjVlZWWKjIy0ak6cONFku+Xl5VbNxebOnSuPx2O9Dh8+3KoxAgAA32VrIDJNU5mZmVq1apU2btyo3r17e80PCAjQ4MGDm9yK/8knnyguLk6SNGjQIPn7+ys/P9+af/z4ce3Zs0dDhgyRJKWkpMjj8Wjnzp1WzY4dO+TxeKyaiwUGBio0NNTrBQAArk22fmU2bdo0LV++XGvXrlVISIh1PY9hGAoKCpIkzZkzR2PHjtWwYcN01113KS8vT+vWrdPmzZut2kmTJmnWrFkKDw9XWFiYZs+ercTERI0cOVLSV2eU0tLSNHnyZC1evFiSNGXKFI0ePbpZd5gBAIBrm6233V/u+p0lS5Zo4sSJ1vs//vGPysnJ0ZEjRxQfH6/nn39eDzzwgDX/3LlzmjNnjpYvX66amhrdfffdWrhwoWJjY62aU6dOafr06crNzZUkpaena8GCBeratWuzeuW2ewAAOp7mfn771HOIfBmBCACAjqe5n98+c5cZ0FF9Xl6lg6fOqld4sHpHBNvdDgCgBQhEQAudPlun6SuKtWV/uTVtWN/umv/IbTK6+NvYGQDg2/KJ2+6Bjmj6imK99+mXXtPe+/RLZa34l00dAQBaikAEtMDn5VXasr9cDRddgtdgmtqyv1wHvqy+zJIAAF9EIAJa4OCps1ec/8VJAhEAdCQEIqAF4sK6XHF+r3AurgaAjoRABLTADd2v17C+3dX5omdpdXa5NKxvd+42A4AOhkAEtND8R27TnX0ivKbd2SdC8x+5zaaOAAAtxW33QAsZXfz15qTv6MCX1friZDXPIQKADoxABLRS7wiCEAB0dHxlBgAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHI9ABAAAHM/WQJSTk6PBgwcrJCREbrdbY8aM0b59+y5b//jjj8vlcul3v/ud1/Ta2lplZWUpIiJCwcHBSk9P15EjR7xqKioqlJGRIcMwZBiGMjIydPr06aswKgAA0NHYGogKCgo0bdo0FRYWKj8/X+fPn1dqaqqqq6ub1K5Zs0Y7duxQdHR0k3nZ2dlavXq1Vq5cqa1bt6qqqkqjR49WQ0ODVTN+/HgVFxcrLy9PeXl5Ki4uVkZGxlUdHwAA6BhcpmmadjdxQXl5udxutwoKCjRs2DBr+tGjR5WUlKR//OMfuu+++5Sdna3s7GxJksfjUffu3bVs2TKNHTtWknTs2DHFxsZq/fr1GjVqlEpKStS/f38VFhYqKSlJklRYWKiUlBTt3btX8fHx39hbZWWlDMOQx+NRaGho2w8eAAC0ueZ+fvvUNUQej0eSFBYWZk1rbGxURkaG5syZo1tuuaXJMkVFRaqvr1dqaqo1LTo6WgkJCdq2bZskafv27TIMwwpDkpScnCzDMKyai9XW1qqystLrBQAArk0+E4hM09TMmTM1dOhQJSQkWNN/9atfyc/PT9OnT7/kcqWlpQoICFC3bt28pkdGRqq0tNSqcbvdTZZ1u91WzcVycnKs640Mw1BsbGxLhwYAAHyczwSizMxM7dq1SytWrLCmFRUV6fe//72WLl0ql8v1rdZnmqbXMpda/uKar5s7d648Ho/1Onz48LfaPgAA6Dh8IhBlZWUpNzdXmzZtUkxMjDX93XffVVlZmXr27Ck/Pz/5+fnp4MGDmjVrlnr16iVJioqKUl1dnSoqKrzWWVZWpsjISKvmxIkTTbZbXl5u1VwsMDBQoaGhXi8AAHBtsjUQmaapzMxMrVq1Shs3blTv3r295mdkZGjXrl0qLi62XtHR0ZozZ47+8Y9/SJIGDRokf39/5efnW8sdP35ce/bs0ZAhQyRJKSkp8ng82rlzp1WzY8cOeTweqwYAADiXn50bnzZtmpYvX661a9cqJCTEup7HMAwFBQUpPDxc4eHhXsv4+/srKirKujPMMAxNmjRJs2bNUnh4uMLCwjR79mwlJiZq5MiRkqR+/fopLS1NkydP1uLFiyVJU6ZM0ejRo5t1hxkAALi22XqG6PXXX5fH49GIESPUo0cP6/WXv/zlW63nlVde0ZgxY/Twww/rzjvvVJcuXbRu3Tp17tzZqnnrrbeUmJio1NRUpaamasCAAVq2bFlbDwkAAHRAPvUcIl/Gc4gAAOh4OuRziAAAAOxAIAIAAI7Xqouqz549q0OHDqmurs5r+oABA1rVFAAAQHtqUSAqLy/Xj370I/3973+/5Pyv/6gqAACAr2vRV2bZ2dmqqKhQYWGhgoKClJeXpz/96U/q27evcnNz27pHAACAq6pFZ4g2btyotWvXavDgwerUqZPi4uJ0zz33KDQ0VDk5Obrvvvvauk8AAICrpkVniKqrq60fSw0LC1N5ebkkKTExUR9++GHbdQcAANAOWhSI4uPjtW/fPknSrbfeqsWLF+vo0aNatGiRevTo0aYNAgAAXG0t+sosOztbx48flyQ9++yzGjVqlN566y0FBARo6dKlbdkfAADAVdcmT6o+e/as9u7dq549eyoiIqIt+vI5PKkaAICOp7mf323y465dunTR7bff3harAgAAaHctCkQNDQ1aunSp/vnPf6qsrEyNjY1e8zdu3NgmzQEAALSHFgWin/3sZ1q6dKnuu+8+JSQkyOVytXVfAAAA7aZFgWjlypX6v//7P33/+99v634AAADaXYtuuw8ICFCfPn3auhcAAABbtCgQzZo1S7///e/VBjeoAQAA2K5FX5lt3bpVmzZt0t///nfdcsst8vf395q/atWqNmkOAACgPbQoEHXt2lUPPvhgW/cCAABgixYFoiVLlrR1HwAAALZp0TVEknT+/Hm98847Wrx4sc6cOSNJOnbsmKqqqtqsOQAAgPbQojNEBw8eVFpamg4dOqTa2lrdc889CgkJ0a9//WudO3dOixYtaus+AQAArpoWnSH62c9+pjvuuEMVFRUKCgqypj/44IP65z//2WbNAQAAtIcW32X23nvvKSAgwGt6XFycjh492iaNAQAAtJcWnSFqbGxUQ0NDk+lHjhxRSEhIq5sCAABoTy0KRPfcc49+97vfWe9dLpeqqqr07LPP8nMeAACgw3GZLXjc9LFjx3TXXXepc+fO2r9/v+644w7t379f4eHhevfdd+V2u69Gr7aqrKyUYRjyeDwKDQ21ux0AANAMzf38btE1RNHR0SouLtbKlStVVFSkxsZGTZo0SY8++qjXRdYAAAAdQYsCUU5OjiIjI/Wf//mf+tGPfmRN/+Mf/6jy8nI9+eSTbdYgAADA1daia4gWL16sm2++ucn0W265hWcQAQCADqdFgai0tFQ9evRoMr179+46fvx4q5sCAABoTy0KRLGxsXrvvfeaTH/vvfcUHR3d6qYAAADaU4uuIfrxj3+s7Oxs1dfX63vf+54k6Z///KeeeOIJzZo1q00bBAAAuNpadIboiSee0KRJkzR16lTdcMMNuuGGG5SVlaXp06dr7ty5zV5PTk6OBg8erJCQELndbo0ZM0b79u2z5tfX1+vJJ59UYmKigoODFR0drccee0zHjh3zWk9tba2ysrIUERGh4OBgpaen68iRI141FRUVysjIkGEYMgxDGRkZOn36dEuGDwAArjEteg7RBVVVVSopKVFQUJD69u2rwMDAb7V8Wlqaxo0bp8GDB+v8+fN6+umntXv3bn388ccKDg6Wx+PRD3/4Q02ePFkDBw5URUWFsrOzdf78eX3wwQfWen76059q3bp1Wrp0qcLDwzVr1iydOnVKRUVF6ty5syTp3nvv1ZEjR/TGG29IkqZMmaJevXpp3bp1zeqV5xABANDxNPfzu1WBqK2Vl5fL7XaroKBAw4YNu2TN+++/r+985zs6ePCgevbsKY/Ho+7du2vZsmUaO3aspK8eHBkbG6v169dr1KhRKikpUf/+/VVYWKikpCRJUmFhoVJSUrR3717Fx8d/Y28EIgAAOp7mfn636Cuzq8Xj8UiSwsLCrljjcrnUtWtXSVJRUZHq6+uVmppq1URHRyshIUHbtm2TJG3fvl2GYVhhSJKSk5NlGIZVAwAAnKtFF1VfDaZpaubMmRo6dKgSEhIuWXPu3Dn9/Oc/1/jx462UV1paqoCAAHXr1s2rNjIyUqWlpVbNpX5OxO12WzUXq62tVW1trfW+srKyReMCAAC+z2fOEGVmZmrXrl1asWLFJefX19dr3Lhxamxs1MKFC79xfaZpyuVyWe+//u/L1XxdTk6OdQG2YRiKjY1t5kgAAEBH4xOBKCsrS7m5udq0aZNiYmKazK+vr9fDDz+sAwcOKD8/3+s7wKioKNXV1amiosJrmbKyMkVGRlo1J06caLLe8vJyq+Zic+fOlcfjsV6HDx9uzRABAIAPszUQmaapzMxMrVq1Shs3blTv3r2b1FwIQ/v379c777yj8PBwr/mDBg2Sv7+/8vPzrWnHjx/Xnj17NGTIEElSSkqKPB6Pdu7cadXs2LFDHo/HqrlYYGCgQkNDvV4AAODaZOtdZlOnTtXy5cu1du1arzu9DMNQUFCQzp8/rx/84Af68MMP9fbbb3udzQkLC1NAQICkr267f/vtt7V06VKFhYVp9uzZOnnyZJPb7o8dO6bFixdL+uq2+7i4OG67BwDgGtYhbru/3PU7S5Ys0cSJE/XFF19c8qyRJG3atEkjRoyQ9NXF1nPmzNHy5ctVU1Oju+++WwsXLvS67ufUqVOaPn26cnNzJUnp6elasGCBdbfaNyEQAQDQ8XSIQNSREIgAAOh4OuRziAAAAOxAIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI7nZ3cD6Pg+L6/SwVNn1Ss8WL0jgtt9+Y7O7vG3dvsF+8pUfOS0bu/ZTd/t2/0qdAgAVx+BCC12+mydpq8o1pb95da0YX27a/4jt8no4n/Vl+/o7B5/a7d/8GS1xrz2nirO1lvTunXxV+60oYoN73JVegaAq4WvzNBi01cU671Pv/Sa9t6nXyprxb/aZfmOzu7xt3b7F4chSao4W6/017a2WY8A0F4IRGiRz8urtGV/uRpM02t6g2lqy/5yHfiy+qou39HZPf7Wbr9gX1mTMHRBxdl6vfu1s04A0BEQiNAiB0+dveL8L05e+QO1tct3dHaPv7XbLz5y+orzPzxU8W1bAgBbEYjQInFhV75GpFf4lS/Obe3yHZ3d42/t9m+N6XrF+bf37PZtWwIAWxGI0CI3dL9ew/p2V2eXy2t6Z5dLw/p2/8a7lVq7fEdn9/hbu/3h8W51u8yF1926+HO3GYAOh0CEFpv/yG26s0+E17Q7+0Ro/iO3tcvyHZ3d42/t9nOnDW0Sii7cZQYAHY3LNC+6qrId5eTkaNWqVdq7d6+CgoI0ZMgQ/epXv1J8fLxVY5qmnn/+eb3xxhuqqKhQUlKSXnvtNd1yyy1WTW1trWbPnq0VK1aopqZGd999txYuXKiYmBirpqKiQtOnT1dubq4kKT09XfPnz1fXrl2b1WtlZaUMw5DH41FoaGjb7IBrxIEvq/XFyeoWP8emtct3dHaPv7Xbf3d/uT48VMFziAD4pOZ+ftsaiNLS0jRu3DgNHjxY58+f19NPP63du3fr448/VnDwV3+Yf/WrX+m///u/tXTpUt1000164YUXtGXLFu3bt08hISGSpJ/+9Kdat26dli5dqvDwcM2aNUunTp1SUVGROnfuLEm69957deTIEb3xxhuSpClTpqhXr15at25ds3olEAEA0PE0+/Pb9CFlZWWmJLOgoMA0TdNsbGw0o6KizHnz5lk1586dMw3DMBctWmSapmmePn3a9Pf3N1euXGnVHD161OzUqZOZl5dnmqZpfvzxx6Yks7Cw0KrZvn27Kcncu3dvs3rzeDymJNPj8bR6nAAAoH009/Pbp64h8ng8kqSwsDBJ0oEDB1RaWqrU1FSrJjAwUMOHD9e2bdskSUVFRaqvr/eqiY6OVkJCglWzfft2GYahpKQkqyY5OVmGYVg1F6utrVVlZaXXCwAAXJt8JhCZpqmZM2dq6NChSkhIkCSVlpZKkiIjI71qIyMjrXmlpaUKCAhQt27drljjdrubbNPtdls1F8vJyZFhGNYrNja2dQMEAAA+y2cCUWZmpnbt2qUVK1Y0mee66NZg0zSbTLvYxTWXqr/SeubOnSuPx2O9Dh8+3JxhAACADsgnAlFWVpZyc3O1adMmrzvDoqKiJKnJWZyysjLrrFFUVJTq6upUUVFxxZoTJ0402W55eXmTs08XBAYGKjQ01OsFAACuTbYGItM0lZmZqVWrVmnjxo3q3bu31/zevXsrKipK+fn51rS6ujoVFBRoyJAhkqRBgwbJ39/fq+b48ePas2ePVZOSkiKPx6OdO3daNTt27JDH47FqAACAc/nZufFp06Zp+fLlWrt2rUJCQqwzQYZhKCgoSC6XS9nZ2XrxxRfVt29f9e3bVy+++KK6dOmi8ePHW7WTJk3SrFmzFB4errCwMM2ePVuJiYkaOXKkJKlfv35KS0vT5MmTtXjxYklf3XY/evRor2ceAQAAZ7I1EL3++uuSpBEjRnhNX7JkiSZOnChJeuKJJ1RTU6OpU6daD2bcsGGD9QwiSXrllVfk5+enhx9+2How49KlS61nEEnSW2+9penTp1t3o6Wnp2vBggVXd4AAAKBDsPXBjB0JD2YEAKDjae7nt09cVA0AAGAnAhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8WwPRli1bdP/99ys6Oloul0tr1qzxml9VVaXMzEzFxMQoKChI/fr10+uvv+5VU1tbq6ysLEVERCg4OFjp6ek6cuSIV01FRYUyMjJkGIYMw1BGRoZOnz59lUcHAAA6ClsDUXV1tQYOHKgFCxZccv6MGTOUl5enP//5zyopKdGMGTOUlZWltWvXWjXZ2dlavXq1Vq5cqa1bt6qqqkqjR49WQ0ODVTN+/HgVFxcrLy9PeXl5Ki4uVkZGxlUfHwAA6BhcpmmadjchSS6XS6tXr9aYMWOsaQkJCRo7dqyeeeYZa9qgQYP0/e9/X7/85S/l8XjUvXt3LVu2TGPHjpUkHTt2TLGxsVq/fr1GjRqlkpIS9e/fX4WFhUpKSpIkFRYWKiUlRXv37lV8fHyz+qusrJRhGPJ4PAoNDW27gQMAgKumuZ/fPn0N0dChQ5Wbm6ujR4/KNE1t2rRJn3zyiUaNGiVJKioqUn19vVJTU61loqOjlZCQoG3btkmStm/fLsMwrDAkScnJyTIMw6q5lNraWlVWVnq9AADAtcmnA9Grr76q/v37KyYmRgEBAUpLS9PChQs1dOhQSVJpaakCAgLUrVs3r+UiIyNVWlpq1bjd7ibrdrvdVs2l5OTkWNccGYah2NjYNhwZAADwJT4fiAoLC5Wbm6uioiK99NJLmjp1qt55550rLmeaplwul/X+6/++XM3F5s6dK4/HY70OHz7c8oEAAACf5md3A5dTU1Ojp556SqtXr9Z9990nSRowYICKi4v129/+ViNHjlRUVJTq6upUUVHhdZaorKxMQ4YMkSRFRUXpxIkTTdZfXl6uyMjIy24/MDBQgYGBbTwqAADgi3z2DFF9fb3q6+vVqZN3i507d1ZjY6Okry6w9vf3V35+vjX/+PHj2rNnjxWIUlJS5PF4tHPnTqtmx44d8ng8Vg0AAHA2W88QVVVV6dNPP7XeHzhwQMXFxQoLC1PPnj01fPhwzZkzR0FBQYqLi1NBQYHefPNNvfzyy5IkwzA0adIkzZo1S+Hh4QoLC9Ps2bOVmJiokSNHSpL69euntLQ0TZ48WYsXL5YkTZkyRaNHj272HWYAAODaZutt95s3b9Zdd93VZPqECRO0dOlSlZaWau7cudqwYYNOnTqluLg4TZkyRTNmzLCu/zl37pzmzJmj5cuXq6amRnfffbcWLlzodRH0qVOnNH36dOXm5kqS0tPTtWDBAnXt2rXZvXLbPQAAHU9zP7995jlEvo5ABABAx3NNPIcIAACgPRCIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA4xGIAACA49kaiLZs2aL7779f0dHRcrlcWrNmTZOakpISpaenyzAMhYSEKDk5WYcOHbLm19bWKisrSxEREQoODlZ6erqOHDnitY6KigplZGTIMAwZhqGMjAydPn36Ko8OAAB0FLYGourqag0cOFALFiy45PzPPvtMQ4cO1c0336zNmzfr3//+t5555hldd911Vk12drZWr16tlStXauvWraqqqtLo0aPV0NBg1YwfP17FxcXKy8tTXl6eiouLlZGRcdXHBwAAOgaXaZqm3U1Iksvl0urVqzVmzBhr2rhx4+Tv769ly5ZdchmPx6Pu3btr2bJlGjt2rCTp2LFjio2N1fr16zVq1CiVlJSof//+KiwsVFJSkiSpsLBQKSkp2rt3r+Lj45vVX2VlpQzDkMfjUWhoaOsGCwAA2kVzP7999hqixsZG/e1vf9NNN92kUaNGye12KykpyetrtaKiItXX1ys1NdWaFh0drYSEBG3btk2StH37dhmGYYUhSUpOTpZhGFYNAABwNp8NRGVlZaqqqtK8efOUlpamDRs26MEHH9RDDz2kgoICSVJpaakCAgLUrVs3r2UjIyNVWlpq1bjd7ibrd7vdVs2l1NbWqrKy0usFAACuTX52N3A5jY2NkqQHHnhAM2bMkCTdeuut2rZtmxYtWqThw4dfdlnTNOVyuaz3X//35WoulpOTo+eff76l7QMAgA7EZ88QRUREyM/PT/379/ea3q9fP+sus6ioKNXV1amiosKrpqysTJGRkVbNiRMnmqy/vLzcqrmUuXPnyuPxWK/Dhw+3dkgAAMBH+WwgCggI0ODBg7Vv3z6v6Z988oni4uIkSYMGDZK/v7/y8/Ot+cePH9eePXs0ZMgQSVJKSoo8Ho927txp1ezYsUMej8equZTAwECFhoZ6vQAAwLXJ1q/Mqqqq9Omnn1rvDxw4oOLiYoWFhalnz56aM2eOxo4dq2HDhumuu+5SXl6e1q1bp82bN0uSDMPQpEmTNGvWLIWHhyssLEyzZ89WYmKiRo4cKemrM0ppaWmaPHmyFi9eLEmaMmWKRo8e3ew7zAAAwDXOtNGmTZtMSU1eEyZMsGr+93//1+zTp4953XXXmQMHDjTXrFnjtY6amhozMzPTDAsLM4OCgszRo0ebhw4d8qo5efKk+eijj5ohISFmSEiI+eijj5oVFRXfqlePx2NKMj0eT0uHCwAA2llzP7995jlEvo7nEAEA0PF0+OcQAQAAtBcCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDyf/XFXp/i8vEoHT51Vr/Bg9Y4IdmwPdnL6+AHAbr7wd5hAZJPTZ+s0fUWxtuwvt6YN69td8x+5TUYXf8f0YCenjx8A7OZLf4f5yswm01cU671Pv/Sa9t6nXyprxb8c1YOdnD5+ALCbL/0dJhDZ4PPyKm3ZX66Gi341pcE0tWV/uQ58We2IHuzk9PEDgN187e8wgcgGB0+dveL8L05e/YPAF3qwk9PHDwB287W/wwQiG8SFdbni/F7hV/+CMl/owU5OHz8A2M3X/g4TiGxwQ/frNaxvd3V2ubymd3a5NKxv93a5wt4XerCT08cPAHbztb/DBCKbzH/kNt3ZJ8Jr2p19IjT/kdsc1YOdnD5+ALCbL/0ddpnmRVcz4ZIqKytlGIY8Ho9CQ0PbbL0HvqzWFyerbX32gi/0YCenjx8A7HY1/w439/ObQNRMVysQAQCAq6e5n998ZQYAAByPQAQAAByPQAQAAByPQAQAAByPQAQAAByPQAQAAByPQAQAAByPQAQAAByPQAQAAByPQAQAABzPz+4GOooLv3BSWVlpcycAAKC5Lnxuf9MvlRGImunMmTOSpNjYWJs7AQAA39aZM2dkGMZl5/Pjrs3U2NioY8eOKSQkRC6Xq83WW1lZqdjYWB0+fJgfjW0h9mHrsP9aj33YOuy/1mMfXp5pmjpz5oyio6PVqdPlrxTiDFEzderUSTExMVdt/aGhoRzErcQ+bB32X+uxD1uH/dd67MNLu9KZoQu4qBoAADgegQgAADgegchmgYGBevbZZxUYGGh3Kx0W+7B12H+txz5sHfZf67EPW4+LqgEAgONxhggAADgegQgAADgegQgAADgegchmCxcuVO/evXXddddp0KBBevfdd+1uqUN47rnn5HK5vF5RUVF2t+XTtmzZovvvv1/R0dFyuVxas2aN13zTNPXcc88pOjpaQUFBGjFihD766CN7mvVR37QPJ06c2OS4TE5OtqdZH5STk6PBgwcrJCREbrdbY8aM0b59+7xqOA4vrzn7j2Ow5QhENvrLX/6i7OxsPf300/rXv/6l7373u7r33nt16NAhu1vrEG655RYdP37ceu3evdvulnxadXW1Bg4cqAULFlxy/q9//Wu9/PLLWrBggd5//31FRUXpnnvusX62Bt+8DyUpLS3N67hcv359O3bo2woKCjRt2jQVFhYqPz9f58+fV2pqqqqrq60ajsPLa87+kzgGW8yEbb7zne+YP/nJT7ym3XzzzebPf/5zmzrqOJ599llz4MCBdrfRYUkyV69ebb1vbGw0o6KizHnz5lnTzp07ZxqGYS5atMiGDn3fxfvQNE1zwoQJ5gMPPGBLPx1RWVmZKcksKCgwTZPj8Nu6eP+ZJsdga3CGyCZ1dXUqKipSamqq1/TU1FRt27bNpq46lv379ys6Olq9e/fWuHHj9Pnnn9vdUod14MABlZaWeh2PgYGBGj58OMfjt7R582a53W7ddNNNmjx5ssrKyuxuyWd5PB5JUlhYmCSOw2/r4v13AcdgyxCIbPLll1+qoaFBkZGRXtMjIyNVWlpqU1cdR1JSkt5880394x//0P/8z/+otLRUQ4YM0cmTJ+1urUO6cMxxPLbOvffeq7feeksbN27USy+9pPfff1/f+973VFtba3drPsc0Tc2cOVNDhw5VQkKCJI7Db+NS+0/iGGwNftzVZi6Xy+u9aZpNpqGpe++91/p3YmKiUlJSdOONN+pPf/qTZs6caWNnHRvHY+uMHTvW+ndCQoLuuOMOxcXF6W9/+5seeughGzvzPZmZmdq1a5e2bt3aZB7H4Te73P7jGGw5zhDZJCIiQp07d27yfz1lZWVN/u8I3yw4OFiJiYnav3+/3a10SBfu0ON4bFs9evRQXFwcx+VFsrKylJubq02bNikmJsaaznHYPJfbf5fCMdh8BCKbBAQEaNCgQcrPz/eanp+fryFDhtjUVcdVW1urkpIS9ejRw+5WOqTevXsrKirK63isq6tTQUEBx2MrnDx5UocPH+a4/P+ZpqnMzEytWrVKGzduVO/evb3mcxxe2Tftv0vhGGw+vjKz0cyZM5WRkaE77rhDKSkpeuONN3To0CH95Cc/sbs1nzd79mzdf//96tmzp8rKyvTCCy+osrJSEyZMsLs1n1VVVaVPP/3Uen/gwAEVFxcrLCxMPXv2VHZ2tl588UX17dtXffv21YsvvqguXbpo/PjxNnbtW660D8PCwvTcc8/pBz/4gXr06KEvvvhCTz31lCIiIvTggw/a2LXvmDZtmpYvX661a9cqJCTEOhNkGIaCgoLkcrk4Dq/gm/ZfVVUVx2Br2HiHG0zTfO2118y4uDgzICDAvP32271un8TljR071uzRo4fp7+9vRkdHmw899JD50Ucf2d2WT9u0aZMpqclrwoQJpml+dcvzs88+a0ZFRZmBgYHmsGHDzN27d9vbtI+50j48e/asmZqaanbv3t309/c3e/bsaU6YMME8dOiQ3W37jEvtO0nmkiVLrBqOw8v7pv3HMdg6/No9AABwPK4hAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAnDN6dWrl373u9+1ePmlS5eqa9eu1vvnnntOt956a6v7+roRI0YoOzu7TdcJoOUIRAAc7VLhaezYsfrkk0/arYf6+no9+eSTSkxMVHBwsKKjo/XYY4/p2LFj7dYD4HQEIgA+qa6uzrZtBwUFye12t9v2zp49qw8//FDPPPOMPvzwQ61atUqffPKJ0tPT260HwOkIRADaxYgRI5SZmanMzEx17dpV4eHh+q//+i9d+DnFXr166YUXXtDEiRNlGIYmT54sSdq2bZuGDRumoKAgxcbGavr06aqurrbWW1ZWpvvvv19BQUHq3bu33nrrrSbbfu6559SzZ08FBgYqOjpa06dPt3o6ePCgZsyYIZfLJZfLJanpV2YXLFu2TL169ZJhGBo3bpzOnDnTrLFXV1frscce0/XXX68ePXropZde8ppvGIby8/P18MMPKz4+XsnJyZo/f76Kiop06NChZm0DQOsQiAC0mz/96U/y8/PTjh079Oqrr+qVV17RH/7wB2v+b37zGyUkJKioqEjPPPOMdu/erVGjRumhhx7Srl279Je//EVbt25VZmamtczEiRP1xRdfaOPGjfrrX/+qhQsXqqyszJr/17/+Va+88ooWL16s/fv3a82aNUpMTJQkrVq1SjExMfrFL36h48eP6/jx45ft/bPPPtOaNWv09ttv6+2331ZBQYHmzZvXrHHPmTNHmzZt0urVq7VhwwZt3rxZRUVFV1zG4/HI5XJdMpgBuApMAGgHw4cPN/v162c2NjZa05588kmzX79+pmmaZlxcnDlmzBivZTIyMswpU6Z4TXv33XfNTp06mTU1Nea+fftMSWZhYaE1v6SkxJRkvvLKK6ZpmuZLL71k3nTTTWZdXd0l+4qLi7NqL1iyZIlpGIb1/tlnnzW7dOliVlZWWtPmzJljJiUlfeO4z5w5YwYEBJgrV660pp08edIMCgoyf/azn11ymZqaGnPQoEHmo48++o3rB9A2OEMEoN0kJydbX0tJUkpKivbv36+GhgZJ0h133OFVX1RUpKVLl+r666+3XqNGjVJjY6MOHDigkpIS+fn5eS138803e51V+Y//+A/V1NTohhtu0OTJk7V69WqdP3/+W/feq1cvhYSEWO979OjhdSbqcj777DPV1dUpJSXFmhYWFqb4+PhL1tfX12vcuHFqbGzUwoULv3WfAFqGQATAZwQHB3u9b2xs1OOPP67i4mLr9e9//1v79+/XjTfeaF1/9PWQdbHY2Fjt27dPr732moKCgjR16lQNGzZM9fX136o3f39/r/cul0uNjY3fuNyFHpujvr5eDz/8sA4cOKD8/HyFhoZ+qx4BtByBCEC7KSwsbPK+b9++6ty58yXrb7/9dn300Ufq06dPk1dAQID69eun8+fP64MPPrCW2bdvn06fPu21nqCgIKWnp+vVV1/V5s2btX37du3evVuSFBAQYJ2huhr69Okjf39/r7FXVFQ0ua3/Qhjav3+/3nnnHYWHh1+1ngA05Wd3AwCc4/Dhw5o5c6Yef/xxffjhh5o/f36TO66+7sknn1RycrKmTZumyZMnKzg4WCUlJcrPz9f8+fMVHx+vtLQ0TZ48WW+88Yb8/PyUnZ2toKAgax1Lly5VQ0ODkpKS1KVLFy1btkxBQUGKi4uT9NVXYVu2bNG4ceMUGBioiIiINh3z9ddfr0mTJmnOnDkKDw9XZGSknn76aXXq9P/+f/T8+fP64Q9/qA8//FBvv/22GhoaVFpaKumrr9cCAgLatCcATRGIALSbxx57TDU1NfrOd76jzp07KysrS1OmTLls/YABA1RQUKCnn35a3/3ud2Wapm688UaNHTvWqlmyZIl+/OMfa/jw4YqMjNQLL7ygZ555xprftWtXzZs3TzNnzlRDQ4MSExO1bt066wzML37xCz3++OO68cYbVVtb+62+4mqu3/zmN6qqqlJ6erpCQkI0a9YseTwea/6RI0eUm5srSU2eiL1p0yaNGDGizXsC4M1lXo3/+gHgIiNGjNCtt97aqp/UAICrhWuIAACA4xGIAKAVDh065PVYgItfPGka6Bj4ygwAWuH8+fP64osvLju/V69e8vPjck3A1xGIAACA4/GVGQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcDwCEQAAcLz/D+Os2cd82zksAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Amst',prodejce=['ČD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2a2e891e-4fc2-4736-9ddd-5ef70c41ee87",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "387.0      4\n",
      "748.0      2\n",
      "877.0      0\n",
      "903.0      0\n",
      "1006.0     0\n",
      "1135.0     3\n",
      "1264.0     0\n",
      "1393.0     0\n",
      "1522.0     0\n",
      "2172.0     0\n",
      "3277.0     0\n",
      "4149.0    28\n",
      "5181.0    27\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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iIrJBbSIgOnz4MNLT07F169Ym80ZGRsLBwQEZGRmIjIyEv78/rl+/rpcvPz8ffn5+ButxcnKCk5OTWf0mIiKitqFNXEO0du1a9OnTB717924y79mzZ1FdXY2AgAAAQExMDHQ6HZKTk6U8J06cgE6nw4ABA1qsz0RERNR2WPUMUWlpKS5cuCC9z8zMRFpaGjw9PdGpUycAt/9U9c033+C9997TK3/x4kVs3rwZo0aNgre3N86dO4e5c+ciIiICsbGxAIAePXrgscceQ3x8vHQ7/vTp0/H444/zDjMiIiICYOUzRKdOnUJERAQiIiIAAHPmzEFERAT+/ve/S3m2bNkCURQxceJEvfKOjo7Yu3cvRowYge7du2PWrFkYPnw49uzZA3t7eynf5s2b0atXLwwfPhzDhw/Hgw8+iI0bN7b8DhIREVGbIIiiKFq7E21BSUkJtFotdDod3N3drd0dIiIiMoKxv99t4hoiIiIiopbEgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1dNYuwNqF7Jgh/TvyytGS/+OemsXCsqq4evqgORFwwEA41YdwfnrN9EzwB3/ejEWADD50yT8ck2Hhzp2wMbno6Xy0zecREpWEfoGe+KTuCgAwNbkq0jKLERsF288HRVkMO1geh7SsosR2ckDD4f5SHUaW/5Sfimu3ChHiJcrQr1dGy1vqC1zGGrfmszt0724Ty3Vli2OFRHZPkEURdHanWgLSkpKoNVqodPp4O7ubnZ9EUt+QFGF/tDbA6g1o97HHvDBznP5eukCgPqt2Qu339fVS7S3A1wc7HGz8m4PPFwc8I+neuGvm39CTb3M9gIgikBdvTo1dgIevM8dqVk6KW1QmA/+Orgz4r5Ilpc30FbijIEI8nIxZddRXF6FWV+n4VDG3f0fFOaDlRMjoHVxMKlOc5nbp3txn1qqLVscKyKyPmN/vxkQGcnSAVH9M0P3MntBQG0zPmIeLg746e/DTWprytpkHL1QIGvPXhAQ29UbX07rZ1Kd5jK3T/fiPrVUW7Y4VkRkfcb+fvMaIitQSzAEoFnBEAAUlVfjcIb+Ga6mXMovxaGMfL32akURhzLykVlQ1uw6zWVun+7FfWqptmxxrIiobbFqQHTo0CE88cQTCAwMhCAI2LZtm2z71KlTIQiC7BUdHS3LU1lZiZdeegne3t5wdXXFmDFjkJ2dLctTVFSEuLg4aLVaaLVaxMXFobi4uIX3jkyVerWo2WWu3ChvdPvlwtb/QTS3T/fiPrVUW7Y4VkTUtlg1ICorK0Pv3r2xatUqg3kee+wx5OTkSK8ffvhBtj0hIQHfffcdtmzZgiNHjqC0tBSPP/44amvvXpsyadIkpKWlYefOndi5cyfS0tIQFxfXYvtF5ons5NHsMsGejV93FOLV+hfXmtune3GfWqotWxwrImpbrHqX2ciRIzFy5MhG8zg5OcHf319xm06nw9q1a7Fx40Y88sgjAIBNmzYhKCgIe/bswYgRI3D+/Hns3LkTx48fR//+/QEAn332GWJiYpCeno7u3btbdqeMcHnFaNX82cyUa4hMuduss097DArzMXgNiTXuNjK3T/fiPrVUW7Y4VkTUttj8NUQHDhyAr68vunXrhvj4eOTl5UnbUlJSUF1djeHD716EGxgYiPDwcBw7dgwAkJSUBK1WKwVDABAdHQ2tVivlUVJZWYmSkhLZy5J8XO0V082NUEeH+ymmCw3e2wuAXYNEezvAzUneLw8XB6ydEgVNg8z2gv6HR2MnIDJIK0uL7eqNrfHR+uUNtJU4Y6Bi/42xcmIEYrt667W/cmKEyXWay9w+3Yv71FJt2eJYEVHbYdPrEI0cORJPP/00goODkZmZiUWLFuEPf/gDUlJS4OTkhNzcXDg6OsLDQ/4nFj8/P+Tm5gIAcnNz4evrq1e3r6+vlEfJ8uXLsWTJEsvuUD0nFz0GwPA6RP3e2oW8BusQ/XH1UZzNKZGtQxT3+XGkZRfL1iH6J4C/bDyFk1duyNYh+uZUFo5eLJCtA6SUdjgjH6lXi2RrA11YNsro8pkFZbhcWCZbB8ZQeaW2TKV1ccCX0/optm8t5vbpXtynlmrLFseKiNoOm7ntXhAEfPfddxg7dqzBPDk5OQgODsaWLVswbtw4fPXVV/jTn/6EyspKWb5HH30UXbp0wSeffIJly5Zhw4YNSE9Pl+UJCwvDtGnTsGDBAsW2KisrZfWWlJQgKCjIYrfdExERUcu7J2+7DwgIQHBwMDIyMgAA/v7+qKqqQlGR/K6kvLw8+Pn5SXmuX7+uV1d+fr6UR4mTkxPc3d1lLyIiIro3tamAqLCwEFlZWQgICAAA9OnTBw4ODti9e7eUJycnB2fOnMGAAQMAADExMdDpdEhOTpbynDhxAjqdTspDRERE6mbVa4hKS0tx4cIF6X1mZibS0tLg6ekJT09PvPHGG3jqqacQEBCAy5cv49VXX4W3tzeefPJJAIBWq8W0adMwd+5ceHl5wdPTE/PmzUOvXr2ku8569OiBxx57DPHx8VizZg0AYPr06Xj88cetcocZERER2R6rBkSnTp3C0KFDpfdz5swBADz33HP4+OOPcfr0aXz55ZcoLi5GQEAAhg4diq1bt8LNzU0q88EHH0Cj0WD8+PGoqKjAsGHDsH79etjb372DafPmzZg1a5Z0N9qYMWMaXfuIiIiI1MVmLqq2dZZ+lhkRERG1vHvyomoiIiKilsCAiIiIiFSPARERERGpHgMiIiIiUj0GRERERKR6DIiIiIhI9RgQERERkeoxICIiIiLVY0BEREREqmfVR3cQEPbqDlTXAY52wG/LRkvpIQt2SP++vOJ2eucFO1AHwB7Axf+mRSz5D4oqauDprEHq4hFSmei3d+P6zSoEuDvh2Ku3n+v28Iq9+F13C0EdnHFw/h8AAMPe3Y8rReUI9XLF7rlDAABzt6bhxOVCxHT2xrtP95bqnPxpEn65psNDHTtg4/PRAIDpG04iJasIfYM98UlcVKPlldIPpuchLbsYkZ088HCYDwBga/JVJGUWIraLN56OCpLKK+W9lF+KKzfKEeLlilBv10bbV+qr0v4rpSmVBYBVezNw9GIBHg7zwYtDuxrsv1LfDfXf0P4rUSpv7DiZqyXqNFRvS7VFRHQHH91hJEs/uuN/PjqIn6+VWqBncoFuDrh2s9qidY7p5Y/E07kml3+2X0dsSs7WS3fVCCirufvxc3OyR3l1LWrr7ubR2An45NkIvPyv0ygqv7tfWmcHdPdrj+TLRVJad19XpOeV6bXzx4hA/Ounayb3X8nzscH4/OgVvXR7Aaitd0TZ2wEuDna4WXl3pzxcHLDpz/3xzn/ScSgjX0qP6NQBv2QVy8pr7AQkzojFA/dpZe0Ul1dh1tdpsvJ9Qzzw2/VS6CrujlMHZweE+bbHySt3x2lQmA9WToyA1sXBpH1XatvcOg3VG9PZC4IAHLtYaNG2iEg9jP39ZkBkJEsHRPXPAJH6aOwEiCJQa8Thp7ETcGHZKFnalLXJOHqhwKjyDdkLAmK7euPLaf2aXdZQ2+bWaaheJZZoi4jUg88ys2FhrzIYUruaOtHoYKamTsQ3p7Kk95fyS3EoI9+kYAi4HYQdyshHZoH+2bSmGGrbnDobq1eJuW0RESlhQGQF1XVN5yGq7+jFAunfV26UW6TOy4XNDyiaatuUOo2p15JtEREpYUBkBQ4cdWqm2C7e0r+DPV0sUmeIV/MvTm6qbVPqNKZeS7ZFRKSEP81WkFHvbjJSJ42dAHtBMDpv/bvNOvu0x6AwH6PLN2QvCBgU5mPS3VqG2janzsbqVWJuW0REShgQWUlUkPkXZiu5z93R4nU++VCAWeWnRCvfOu6qkf/4uTnZw77BJ1JjJ2DtlCh4NLijSOvsgH4hHrK07n7tFdt5Juq+Zva4afEDQxTT7Rv8ntvbAW5O8p3ycHFA4oxYxHb1lqVHduqgV/7OXWYNrZwYoVe+X4gHtM7ycerg7IC+wfJxiu3qjZUTIxT7bwylts2t01C9MZ29MKCLl8XbIiJqiHeZGcnSd5nd0e3VHagych2iLgt2oBbydYgil/wHNxTWIRqwbA9ySipl6xANfmcfsoorZOsQPfreAWQWlsnW3Hn5m5+RdKlAbx2fuM+PIy27WLYO0V82nsLJKzdk6/MYKq+UfjgjH6lXi2Rr5nxzKgtHLxborcOjlDezoAyXC8tk69MYal+pr0r7r5SmVBYAVu+/gMMZ+bJ1iJT6r9R3Q/03tP9KlMobO07maok6DdXbUm0R0b2Pt91bWEsFRERERNRyeNs9ERERkZEYEBEREZHqmfUss/Lycly9ehVVVVWy9AcffNCsThERERG1JpMCovz8fPzpT3/Cjz/+qLi9trbWrE4RERERtSaT/mSWkJCAoqIiHD9+HM7Ozti5cyc2bNiAsLAwJCYmWrqPRERERC3KpDNE+/btw7///W/07dsXdnZ2CA4OxqOPPgp3d3csX74co0dz4UEiIiJqO0w6Q1RWVgZfX18AgKenJ/Lz8wEAvXr1QmpqquV6R0RERNQKTAqIunfvjvT0dADAQw89hDVr1uD333/HJ598goAA81Y1JiIiImptJv3JLCEhATk5OQCAxYsXY8SIEdi8eTMcHR2xfv16S/aPiIiIqMVZZKXq8vJy/Prrr+jUqRO8vb2bLtAGcaVqIiKitsfY32+z1iG6w8XFBZGRkZaoioiIiKjVmRQQ1dbWYv369di7dy/y8vJQV1cn275v3z6LdI6IiIioNZgUEM2ePRvr16/H6NGjER4eDkEQLN0vIiIiolZjUkC0ZcsW/L//9/8watQoS/eHiIiIqNWZdNu9o6Mjunbtaum+EBEREVmFSQHR3Llz8b//+7+wwA1qRERERFZn0p/Mjhw5gv379+PHH39Ez5494eDgINv+7bffWqRzRERERK3BpDNEHTp0wJNPPonBgwfD29sbWq1W9jLWoUOH8MQTTyAwMBCCIGDbtm3SturqasyfPx+9evWCq6srAgMDMWXKFFy7dk1Wx5AhQyAIguw1YcIEWZ6ioiLExcVJ/YuLi0NxcbEpu05ERET3IJPOEK1bt84ijZeVlaF3797405/+hKeeekq2rby8HKmpqVi0aBF69+6NoqIiJCQkYMyYMTh16pQsb3x8PN58803pvbOzs2z7pEmTkJ2djZ07dwIApk+fjri4OHz//fcW2Q8iIiJq20xemLGmpgYHDhzAxYsXMWnSJLi5ueHatWtwd3dH+/btjapj5MiRGDlypOI2rVaL3bt3y9JWrlyJfv364erVq+jUqZOU7uLiAn9/f8V6zp8/j507d+L48ePo378/AOCzzz5DTEwM0tPT0b17d6P6SkRERPcuk/5kduXKFfTq1Qv/8z//gxkzZkhPu//HP/6BefPmWbSD9el0OgiCgA4dOsjSN2/eDG9vb/Ts2RPz5s3DzZs3pW1JSUnQarVSMAQA0dHR0Gq1OHbsmMG2KisrUVJSInsRERHRvcmkgGj27NmIiopCUVGR7M9TTz75JPbu3WuxztV369YtLFiwAJMmTZI9i2Ty5Mn4+uuvceDAASxatAj/93//h3Hjxknbc3Nz4evrq1efr68vcnNzDba3fPly2XVRQUFBlt0hIiIishkm32V29OhRODo6ytKDg4Px+++/W6Rj9VVXV2PChAmoq6vD6tWrZdvi4+Olf4eHhyMsLAxRUVFITU2Vnq+mtJK2KIqNrrC9cOFCzJkzR3pfUlLCoIiIiOgeZVJAVFdXh9raWr307OxsuLm5md2p+qqrqzF+/HhkZmZi3759TT5pPjIyEg4ODsjIyEBkZCT8/f1x/fp1vXz5+fnw8/MzWI+TkxOcnJzM7j8RERHZPpP+ZPboo4/iww8/lN4LgoDS0lIsXrzYoo/zuBMMZWRkYM+ePfDy8mqyzNmzZ1FdXY2AgAAAQExMDHQ6HZKTk6U8J06cgE6nw4ABAyzWVyIiImq7BNGE5aavXbuGoUOHwt7eHhkZGYiKikJGRga8vLxw+PBhxWt2lJSWluLChQsAgIiICLz//vsYOnQoPD09ERgYiKeeegqpqanYvn277GyOp6cnHB0dcfHiRWzevBmjRo2Ct7c3zp07h7lz58LZ2RknT56Evb09gNt3s127dg1r1qwBcPu2++Dg4Gbddl9SUgKtVgudTtfkWSoiIiKyDcb+fpsUEAFARUUFtmzZgpSUFNTV1SEyMhKTJ0/WWwOoMQcOHMDQoUP10p977jm88cYbCA0NVSy3f/9+DBkyBFlZWXj22Wdx5swZlJaWIigoCKNHj8bixYvh6ekp5b9x4wZmzZqFxMREAMCYMWOwatUqvbvVGsOAiIiIqO1p0YBo+fLl8PPzw5///GdZ+hdffIH8/HzMnz+/+T22cQyIiIiI2h5jf79NuoZozZo1uP/++/XSe/bsiU8++cSUKomIiIisxqSAKDc3V7pouT4fHx/k5OSY3SkiIiKi1mRSQBQUFISjR4/qpR89ehSBgYFmd4qIiIioNZm0DtHzzz+PhIQEVFdX4w9/+AMAYO/evXjllVcwd+5ci3aQiIiIqKWZFBC98soruHHjBl588UVUVVUBANq1a4f58+dj4cKFFu0gERERUUsz+bZ74PY6QufPn4ezszPCwsLu6ZWdeZcZERFR22Ps77dJZ4juaN++Pfr27WtOFURERERWZ9JF1URERET3EgZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6mms3QG1m7s1DScuFyKmszfefbq3lB6yYAcAQACQuWK0LA0ALv83rfOCHagDYA/g4n/TDJXv/toOVNYC7eyBX9++ndZz0Y8oq65Dewc7nHlrJAAg6q1dKCirhq+rA5IXDZfqfHjFXvyuu4WgDs44OP8PAIBh7+7HlaJyhHq5YvfcIQCAiCX/QVFFDTydNUhdPEIq3+P1H1BRI8JFI+Dc0lEG80a/vRvXb1YhwN0Jx159RCo/btURnL9+Ez0D3PGvF2MNtq/UT0NjrdSWUp1bk68iKbMQsV288XRUkFTnqr0ZOHqxAA+H+eDFoV0BAG8mnsWxSwUY2NUHrz/+QKPzrJSutJ+Gyk/fcBIpWUXoG+yJT+KiDPZJaUyU8gHApfxSXLlRjhAvV4R6u8IQQ/kOpuchLbsYkZ088HCYj8E0Q+WVxtrYPhnKa2yauZozJuYy9Jk0tk/m7n9LjB+RNQmiKIrWavzQoUN49913kZKSgpycHHz33XcYO3astF0URSxZsgSffvopioqK0L9/f/zzn/9Ez549pTyVlZWYN28evv76a1RUVGDYsGFYvXo1OnbsKOUpKirCrFmzkJiYCAAYM2YMVq5ciQ4dOhjd15KSEmi1Wuh0Ori7u5u979+lZOFv3/yil+7pbIcbFXVm129JHbVOyNZVmlxe6wSYURwP+LviXG6ZyeVjO3fA0UvFpnegAY2dgCVPPIDX/n3W5Dom9+uIzcnZJpd/OiIA3/yUY3J5JZ9P6YMvk67iUEa+lDYozAcrJ0ZA6+IgpRWXV2HW12l6+V4Z0R1xX5xAUXm1lO7e7vb/uUpu1UhpHZwdEObbHievFMnK/3VIKOLWnkRN3d2vJI2dgF6B7vgpW9donwz1a0AXL4gikHSpUEqL6ewFQQCOXSxssk5jNWdMPFwckDhjIIK8XExq63R2MZ5cfUxvnBJnxOKB+7RN9mnp2J54fdvZJue5uftqzvgRtSRjf7+tGhD9+OOPOHr0KCIjI/HUU0/pBUTvvPMO3n77baxfvx7dunXD0qVLcejQIaSnp8PNzQ0A8Ne//hXff/891q9fDy8vL8ydOxc3btxASkoK7O3tAQAjR45EdnY2Pv30UwDA9OnTERISgu+//97ovlo6IKp/tofIVtgLAmrrfSXYCwJiu3rjy2n9pLQpa5Nx9EKBXj5BgOxH2px2m8rbsE+G+tWc9pXqNFZzx8TDxQE//X24Xroxur76g2KdGjsBF5aNarJP7s4alFTUNDnPhhiq15zxI2pJxv5+W/UaopEjR2Lp0qUYN26c3jZRFPHhhx/itddew7hx4xAeHo4NGzagvLwcX331FQBAp9Nh7dq1eO+99/DII48gIiICmzZtwunTp7Fnzx4AwPnz57Fz5058/vnniImJQUxMDD777DNs374d6enprbq/d8zdmmaVdoma0jCYqBVFHMrIR2bB7TN0l/JLcSgjXzGfqcGQUrtN5a3fp8b6ZU6dxjJlTIrKq3G43hkWY21Nvmqwzpo6Ed+cymqyT0Xl1U3OsyGN1Wvq+BHZCpu9qDozMxO5ubkYPvzu/6KcnJwwePBgHDt2DACQkpKC6upqWZ7AwECEh4dLeZKSkqDVatG/f38pT3R0NLRarZRHSWVlJUpKSmQvSzlxubDpTEQ25HLh7R+6KzfKrdyTu+70CbBcv+rXaSxT2069WtR0pgaSMhv/7jh6scCsPjW1/03Va8r4EdkKmw2IcnNzAQB+fn6ydD8/P2lbbm4uHB0d4eHh0WgeX19fvfp9fX2lPEqWL18OrVYrvYKCDF+02Fz9Q7wsVhdRawjxun3RbLCnade9tIQ7fQIs16/6dRrL1LYjO3k0namBmNDGvztiu3ib1aem9r+pek0ZPyJbYbMB0R2CIMjei6Kol9ZQwzxK+ZuqZ+HChdDpdNIrKyurmT037L1nHrJYXUSWZN/gmLAXBAwK85HuIurs0x6DwnwU82nsGj8um9NuU3nr96mxfplTp7FMGRMPFweT7jZ7pl8ng3Vq7ATpbrPG+uTh4tDkPBvSWL2mjh+RrbDZgMjf3x8A9M7i5OXlSWeN/P39UVVVhaKiokbzXL9+Xa/+/Px8vbNP9Tk5OcHd3V32sqSPDARFPq72ZtVr+k+SYSEe7cwq7+FsXq/CA9qbVX5gl+b/T7wxGjsBK54MN6uOKdHmnXF8Juo+s8orWTslCrFdvWVpsV29sXJihCxt5cQIxXyJM2Lh0eAuI/d2GulOszs6ODugb7B8TmK7emNrfLTej73GTkBER61e3oZ9MtSvAV28ENNZflYlprMXBnSRpxmq01jNGZM7d5mZKnFGrOI4Jc6INbJPA42aZ0MM1WvO+BHZAqveZVafIAiyu8xEUURgYCD+9re/4ZVXXgEAVFVVwdfXF++88w5eeOEF6HQ6+Pj4YNOmTRg/fjwAICcnBx07dsQPP/yAESNG4Pz583jggQdw4sQJ9Ot3+w6IEydOIDo6Gr/++iu6d+9uVP8sfZfZHS9/8zOSLhXorS8TumAHRDS9DlGXBTtQC/11iJTK3//aDtxqsA5R+KIfUdpgHaJ+b+1CnsI6RIPf2Yes4grZWjaPvncAmYVlsjV7Ipf8BzcU1iF64PUfUN5gHSKlvAOW7UFOSaXeOkR/XH0UZ3NKZOvzKLWv1E9DY63UllKd35zKwtGLBXprvqzefwGHM/Jla/ks3X4ORy7ky9YhMjTPSulK+2mo/F82nsLJKzdk6xAp9UlpTJTyAUBmQRkuF5Y1ub6MoXyHM/KRerVItuaOUpqh8kpjbWyfDOU1Ns1czRkTcxn6TBrbJ3P3vyXGj6gltInb7ktLS3HhwgUAQEREBN5//30MHToUnp6e6NSpE9555x0sX74c69atQ1hYGJYtW4YDBw7o3Xa/fft2rF+/Hp6enpg3bx4KCwv1bru/du0a1qxZA+D2bffBwcFWve2eiIiIWp6xv99WXan61KlTGDp0qPR+zpw5AIDnnnsO69evxyuvvIKKigq8+OKL0sKMu3btkoIhAPjggw+g0Wgwfvx4aWHG9evXS8EQAGzevBmzZs2S7kYbM2YMVq1a1Up7SURERLbOZv5kZut4hoiIiKjtaRMLMxIRERHZAgZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREameVVeqJuBSfimu3CjXex7Q9A0nkZJVJHtGVfTbu3H9ZpXsuVthr+5AdR3gaAf8tuzus8x6vP4DKho8N+zOc880AC40eBZaU2nA3Wep1X8+mlJepbYBoPtrO1DZ4FlqSnkjlvwHRQrPQot6axcKGjxjreeiH1HW4FlsSuNkKO/kT5PwyzUdHurYARufjwYAjFt1BOev35Q9S0xpPgBg7tY0nLhcKHvG2LB39+NKUbnsWWhK+QDg4RV78bvuluwZY0rtb02+iqTMQr3nVinVq7RPoz44iAsFZejm2x7bZw8CALyZeBbHLhXInrnWWFvGMra8oXxK6YaOEyVKeY0t35x2DqbnIS27WPZ8MkNjumpvBo5eLJA9N04pr1K+5uRVGjtDfVLqv7FpLTWmdO9pS/PPlaqNZOmVqovLqzDr6zQcysiX0gaF+eDhrp54+8d0k+t1tgMq6szunkW52APltaaX93XVIK+sxuTyPq72yC8zowMKnn4oEN+kXTO5fHRIBxy/XGxSWY2dgFlDu+D9vRdMbl/JolH3Y/nOdNTU3f1KuPMU9Qfu0zZS8rbT2cV4cvWxJssbyvfeHx/E3H/9opfeK9AdP2XrpLRBYT5YOTEC2gZPkVc6pmI6e0EQgGMXCxstb+h4VGrnSmEZxv7zKIrKq6U0VwcBZdX6X6XzHu2K/2+36fM095GueG+PceXtANQ/9O0EoE7h23352J74x67fZP13b3f7/8Ylt2oaTfNwccCmaf3xzs70JseqOWNK9x5bmv828XDXtsTSAdGUtck4eqEAtfWG314QZO+JbIHGTsCFZaOazNf11R9kwYyh8obyGcteEBDb1RtfTusnS1c6powtb+h4VGon4s1dsmBCbTR2AkQRTY5Vc8aU7j22NP98dIcNu5RfikMZ+Xpf3AyGyBbV1In45lRWo3m2Jl81GOTUL99YPmPViiIOZeQjs6BMSjN0TBlTvrHjsWE7B9PzVB0MAbfns6mxas6Y0r2nrc4/AyIruHKj3NpdIGqWoxcLGt2elFnY6PY75ZvK1xyXC+9+qZpyTN0p31TZ+u2kZRc3ux01MWVM6d7TVuefAZEVBHu6WLsLRM0S28W70e0xoV5GlW8qX3OEeN29QNOUY+pO+abK1m/noY4dmt2OmpgypnTvaavzz4DICjr7tMegMB/YC4IsveF7IlugsROavNvsmX6doLFT/vzWL99YPmPZCwIGhfnI7lgxdEwZU76x47FhO4O7+8JD5RcEa+yEJseqOWNK9562Ov8MiKxk5cQIxHaV/687tqs3/j66h1n1urbAQgrmfkjam/n7EeBmXgV+7S0/KM9E3WdW+YFdPEwuq7ET8PLwbma1r+Tvo3voBSt37hIzRuKMWKPKG8r30TMPKaZHdJTf4Rbb1RsrJ0bota90TMV09sKALvKzUkrlDR2PSu0kzhioFxS5OigHYubOU3PKNzxODcWdK54M1+u/ezuNdFdZY2keLg5InBFr1Fg1Z0zp3tMW5593mRnJ0neZ3ZFZUIbLhWV6azT8ZeMpnLxyQ7buzYBle5BTUilbX6fbqztQpbAO0QOv/4DyBuv7dF2wAzWQrxlkbBoAhC7YARHydYiU8iq1DQD3v7YDtxqsQ6SUN3LJf3BDYR2ifm/tQl6DdYjCF/2I0gZrCymNk6G8cZ8fR1p2sWzNnj+uPoqzOSWydYCU5gMAXv7mZyRdKpCtA/ToeweQWVgmW4dIKR8ADH5nH7KKK2TrECm1/82pLBy9WKC3Zo9SvUr79Pj/HsJveaWydYiWbj+HIxfy9danMdSWsYwtbyifUrqh40SJUl5jyzenncMZ+Ui9WiRbn8fQmK7efwGHM/JlawYp5VXK15y8SmNnqE9K/Tc2raXGlO49tjD/vO3ewloqICIiIqKWw9vuiYiIiIzEgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUz+YDopCQEAiCoPeaMWMGAGDq1Kl626Kjo2V1VFZW4qWXXoK3tzdcXV0xZswYZGdnW2N3iIiIyAZprN2Bppw8eRK1tbXS+zNnzuDRRx/F008/LaU99thjWLdunfTe0dFRVkdCQgK+//57bNmyBV5eXpg7dy4ef/xxpKSkwN7evuV3wkJW7c3A0YsFeDjMBy8O7QoAGPbuflwpKkeolyt2zx0i5Y1+ezeu36xCgLsTjr36CADgwcU7UVJZC62TPX5e8hgAIGLJf1BUUQNPZw1SF48AAIS9ugPVdYCjHfDbstFSnUrlo97ahYKyavi6OiB50XCDdRrqq1I/u7+2A5W1QDt74Ne377avlK6U1uP1H1BRI8JFI+Dc0lFSeaX0NxPP4tilAgzs6oPXH38AADDqg4O4UFCGbr7tsX32IIP7bmj/J3+ahF+u6fBQxw7Y+Hy0wToN7b/SOBkq//CKvfhddwtBHZxxcP4fDI7/9A0nkZJVhL7BnvgkLspg24Y+Z0q2Jl9FUmYhYrt44+moICn9Un4prtwoR4iXK0K9XQ3Waah8c9oyNq9S+0pzb+h4Uhp/pToNzdPcrWk4cbkQMZ298e7TvQEof04Mjb3S/Cn1f9yqIzh//SZ6BrjjXy/GAgAOpuchLbsYkZ088HCYj1SnsZ9TQ/uk1JbSfhoqr5Tec9GPKKuuQ3sHO5x5ayQA5c94c9pSSjNUp9KYKLWjlGbo86OUV2nuDFHKa2waoHw8NKe8sf03dOwY+33UnDFpKYIoiqJVWjZRQkICtm/fjoyMDAiCgKlTp6K4uBjbtm1TzK/T6eDj44ONGzfimWeeAQBcu3YNQUFB+OGHHzBixAjFcg2VlJRAq9VCp9PB3d3dUrtjlGMX8jHp82Sj8nbxcsbFwgqLtt/eASitNr18J60TruoqTS7vbAdU1JnefnsNUFpjenkl3i72KCivbTqjAWHeLsgoKDe5/P1+rvj1epnJ5ZUM6eaJA7/d0EvfGh+N/l28pPens4vx5OpjqKm7+9WhsROweVo//PPAJRzKyJfSH+zojl+yS5psW2MnIHFGLB64TytLN9SWsXnN1SugPU7nlJpc/pHu3tiTXmBy+T/HdMIXSVdNLu9kB1TWO3Y8XBwwIaojPj6UaXKd/Tq5I/lq03NqSMR9bvjp95smlx/Q2QPHLhWZXF5JREc3/JRtep8GdfHAoYum92ntlCgMe8BPlrbrTA6mb0o1uc6/j7ofy3amm3w8/HlAML44dsXk9jt2cEJ2senf+0pjYipjf7/bVEBUVVWFwMBAzJkzB6+++iqA238y27ZtGxwdHdGhQwcMHjwYb7/9Nnx9fQEA+/btw7Bhw3Djxg14eHhIdfXu3Rtjx47FkiVLFNuqrKxEZeXdySwpKUFQUJBVAqKQBTtatT2ihi6vuHumruurPxj8krUXBNSa+JWisRNwYdkoWZqhtpqTl6gtqH+MAfzeB/THxFTGBkQ2fw1Rfdu2bUNxcTGmTp0qpY0cORKbN2/Gvn378N577+HkyZP4wx/+IAUzubm5cHR0lAVDAODn54fc3FyDbS1fvhxarVZ6BQU1fpq+pazam2GVdonqW73/AoDbp98bCzpMDYYAoKZOxDensqT3jbXVnLxEbcHS7eekf7+ZeNaKPbEd9cekNbSpgGjt2rUYOXIkAgMDpbRnnnkGo0ePRnh4OJ544gn8+OOP+O2337BjR+PRtSiKEATB4PaFCxdCp9NJr6ysLIN5W9LRi6afbieylMP//TNYUmZhi7ZT//PeVFvNyUtk645cuPun5mOX+L0PyMekNbSZgOjKlSvYs2cPnn/++UbzBQQEIDg4GBkZt8+s+Pv7o6qqCkVF8r/v5uXlwc/P8N8nnZyc4O7uLntZQ2wXb6u0S1TfnYtxY0K9mshpnvqf96baak5eIls3sOvdC94HdOb3PiAfk9bQZgKidevWwdfXF6NHN/43xcLCQmRlZSEgIAAA0KdPHzg4OGD37t1SnpycHJw5cwYDBgxo0T5bwsxhYdbuApF0x9Mz/TpBY2f4zKp9I2ddm6KxE2R3kDXWVnPyErUF9e+s+vuYnlbsie1o7bvN2kRAVFdXh3Xr1uG5556DRnN3pYDS0lLMmzcPSUlJuHz5Mg4cOIAnnngC3t7eePLJJwEAWq0W06ZNw9y5c7F371789NNPePbZZ9GrVy888sgjhpq0KVvjo5vO9F/dfFws3r6bY9N5GhPi0c6s8q5mLg5hbv+V+LU3r1M9/FzNKh8e0N6s8kqGdlM+y9Lw85c4I1Yv+NDYCdgaH43YrvL/2fbuKL8TzJA7d441ZKgtY/Oa66H73MwqP7yHef/DjR8YYlZ5pwbf8B4uDnhpaBez6owOMW5ODYkKMu9s+8AuHk1naiZz+2To2DHW2ilRRqU1x99H9zDreDD3s2fu9765+2+KNnGX2a5duzBixAikp6ejW7duUnpFRQXGjh2Ln376CcXFxQgICMDQoUPx1ltvyS6CvnXrFl5++WV89dVXqKiowLBhw7B69epmXShtzdvu71i9/wIOZ+TL1ih59L0DyCws01v7YcCyPcgpqZStMdN78U7oGqylE7nkP7jRYI2Ibq/uQJXCOkRK5fu9tQt5DdbhUarTUF+V+nn/aztwS2EdIqV0pbQHXv8B5QrrECmlL91+Dkcu5MvWvnj8fw/ht7xS2bolSvtuaP/jPj+OtOxi2VomSnUa2n+lcTJUfvA7+5BVXCFbT0Vp/P+y8RROXrkhW/dDqW1DnzMl35zKwtGLBXprA2UWlOFyYZlsHSKlOg2Vb05bxuZVal9p7g0dT0rjr1SnoXl6+ZufkXSpQLaWi9LnxNDYK82fUv//uPoozuaUyNYGOpyRj9SrRXrrEBn7OTW0T0ptKe2nofJK6eGLfkRpg3WIlD7jzWlLKc1QnUpjotSOUpqhz49SXqW5M0Qpr7FpgPLx0Jzyxvbf0LFj7PdRc8akue7J2+6tyRYCIiIiImqee/K2eyIiIqKWwICIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPZsOiN544w0IgiB7+fv7S9tFUcQbb7yBwMBAODs7Y8iQITh79qysjsrKSrz00kvw9vaGq6srxowZg+zs7NbeFSIiIrJhNh0QAUDPnj2Rk5MjvU6fPi1t+8c//oH3338fq1atwsmTJ+Hv749HH30UN2/elPIkJCTgu+++w5YtW3DkyBGUlpbi8ccfR21trTV2h4iIiGyQxtodaIpGo5GdFbpDFEV8+OGHeO211zBu3DgAwIYNG+Dn54evvvoKL7zwAnQ6HdauXYuNGzfikUceAQBs2rQJQUFB2LNnD0aMGNGq+0JERES2yebPEGVkZCAwMBChoaGYMGECLl26BADIzMxEbm4uhg8fLuV1cnLC4MGDcezYMQBASkoKqqurZXkCAwMRHh4u5SEiIiKy6TNE/fv3x5dffolu3brh+vXrWLp0KQYMGICzZ88iNzcXAODn5ycr4+fnhytXrgAAcnNz4ejoCA8PD708d8obUllZicrKSul9SUmJJXaJiIiIbJBNB0QjR46U/t2rVy/ExMSgS5cu2LBhA6KjowEAgiDIyoiiqJfWkDF5li9fjiVLlpjYcyIiImpLbP5PZvW5urqiV69eyMjIkK4ranimJy8vTzpr5O/vj6qqKhQVFRnMY8jChQuh0+mkV1ZWlgX3hIiIiGxJmwqIKisrcf78eQQEBCA0NBT+/v7YvXu3tL2qqgoHDx7EgAEDAAB9+vSBg4ODLE9OTg7OnDkj5THEyckJ7u7ushcRERHdm2z6T2bz5s3DE088gU6dOiEvLw9Lly5FSUkJnnvuOQiCgISEBCxbtgxhYWEICwvDsmXL4OLigkmTJgEAtFotpk2bhrlz58LLywuenp6YN28eevXqJd11RkRERGTTAVF2djYmTpyIgoIC+Pj4IDo6GsePH0dwcDAA4JVXXkFFRQVefPFFFBUVoX///ti1axfc3NykOj744ANoNBqMHz8eFRUVGDZsGNavXw97e3tr7RYRERHZGEEURdHanWgLSkpKoNVqodPp+OczIiKiNsLY3+82dQ0RERERUUtgQERERESqx4CIiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESqx4CIiIiIVM+mH+5KpruUX4orN8oR4uWKUG9Xg/lW7c3A0YsFeDjMBy8O7QoA2Jp8FUmZhYjt4o2no4KkvErpB9PzkJZdjMhOHng4zKfRtpXSldKU6jSUbqiv5oxJc8oa6qsl27ZE+ZZg7jy3Zr+M/Zwams+W+Ow2Z5yUyht7PDSnT8amWWJMze2/sW0p1Wnoe8PYOWnOPDWnvDntN+cYa4k+GZonY8ffFr7j+HBXI7WVh7sWl1dh1tdpOJSRL6UNCvPByokR0Lo4SGnHLuRj0ufJeuXtANTVe6+xE/D/Pd0L8745jZq6ux8VezvAxcEeNytrpTStswO6+7VH8uUiWdtLx4bj9W1nZH0a0MULoggkXSqU0vqGeOC366XQVVRLaR4uDvh4UiT++lUqisrvprs52aO8uha19TqrsROQOCMWD9ynNWlMlBgq+8pj3RC3NlnWJw8XByTOGIggLxeLtG2J8i3BUJ+U5jmmsxcEATh2sVCWtyX6r9Qvpc9UB2cHhPm2x8krRY3m83BxwKZp/fHOzvQm96k5n12l40TpeBgU5oNXRnRD3Bfyz5l7u9v/jy25VSOlKR0PSseooT4p1tlOA6FBmoeLAz6eHIm/bm64Txp093NH8uUbUlq/EA+kX78JXUWD8grtt3eyR4WR/d/05/545z/pTc6z0pjYCYAAoLber57GTsCmaf2x+sDFJue5OfPUnHk29thRKt+cY0zpGGlOn5rzvf3uuAfxl69S5b8bAiACqJcEewHoHdQBqVeLm+y/qYz9/WZAZKS2EhBNWZuMoxcKUCvW/xAKiO3qjS+n9ZPSQhbsaJX+2AsC3J01KKmokfWppWjsBFxYNkqWZuyYKDFUVhAgO9Dv8HBxwE9/H26Rti1RviUY6pOx89xS/Vfql7k0dgJEEa3y2W2osc+ZmrXUnNgLgkl1mjtPLfEdaegYM/YYae3vbaX2Lfkdwafdq9Cl/FIcysjX+wDXiiIOZeQjs6AMwO0/k7WWWlFEUXl1qx1UNXUivjmVJb03dkyUNFbW0JdfUXk1Dv/3f1TmtG2J8i2hsT4ZO88t0X9D/TJXTZ1olR8EoPHPmZq11JyYWqe589QS35FKx1hzjpHW/t5Wat8a33EMiO4hV26UN7r9cuHtD9fRiwWt0R2rqb9/xo6JkqbKGpJ6tcjsti1RviWYOiZKLNl/S/aL6F5R/xhri8dIa3/HMSC6hwR7ujS6PcTr9oVqsV28W6M7VlN//4wdEyVNlTUkspOH2W1bonxLMHVMlFiy/5bsF9G9ov4x1haPkdb+jmNAdA/p7NMeg8J8YC8IsnR7QcCgMB/pyv2Zw8JarU/2ggAPFwe9PrUUjZ0gu2vE2DFR0lhZjZ3y/ni4OEh3WJjTtiXKt4TG+mTsPLdE/w31y1waO6HVPrsNNfY5U7OWmhNT6zR3nlriO1LpGGvOMdLa39tK7VvjO44B0T1m5cQIxHaVnwGK7eqNlRMjZGlb46MVyzf8QGjsBHz0zEN6B7y93e27OOrTOjugX4iHXtuJMwbq9WlAFy/EdPaSpfUL8YDWWX5XgYeLA7bGR8Ojwd0Gbk72sG/Q2Tt3mTVk7JgoMVQ2cUasXp/u3GVmqbYtUb4lGB4T/XmO6eyFAV289PK2RP+V+qX0merg7IC+wR5N5rs9n7FG7VNzPrtKx4nS8WDoc+beTiPdFXaH0vGgdIwa6pNSnUpphvdJg34hnrK0fiGe0DobV745/VeaE6XxV6rTTrh9V1N9GjsBW+OjjZrn5sxT8+bZuGNHqXxzjjGlY6Q5fWrO9/baKVH6vxvC7TlomBbZqYNR/W9pvMvMSG3lLrM7MgvKcLmwrMk1HVbvv4DDGfmydYi+OZWFoxcL9NboUEo/nJGP1KtFsrUnDLWtlK6UplSnoXRDfTVnTJpT1lBfLdm2Jcq3BHPnuTX7Zezn1NB8tsRntznjpFTe2OOhOX0yNs0SY2pu/41tS6lOQ98bxs5Jc+apOeXNab85x1hL9MnQPBk7/i35HcHb7i2srQVERERExNvuiYiIiIzGgIiIiIhUjwERERERqR4DIiIiIlI9BkRERESkegyIiIiISPUYEBEREZHqMSAiIiIi1WNARERERKrHgIiIiIhUT9N0FgKAO084KSkpsXJPiIiIyFh3frebelIZAyIj3bx5EwAQFNT4A0SJiIjI9ty8eRNardbgdj7c1Uh1dXW4du0a3NzcIAiCxeotKSlBUFAQsrKy+NBYG8Z5ajs4V20D56ltuBfmSRRF3Lx5E4GBgbCzM3ylEM8QGcnOzg4dO3Zssfrd3d3b7IdNTThPbQfnqm3gPLUNbX2eGjszdAcvqiYiIiLVY0BEREREqseAyMqcnJywePFiODk5Wbsr1AjOU9vBuWobOE9tg5rmiRdVExERkerxDBERERGpHgMiIiIiUj0GRERERKR6DIiIiIhI9RgQWdnq1asRGhqKdu3aoU+fPjh8+LC1u6Rqy5cvR9++feHm5gZfX1+MHTsW6enpsjyiKOKNN95AYGAgnJ2dMWTIEJw9e9ZKPably5dDEAQkJCRIaZwj2/H777/j2WefhZeXF1xcXPDQQw8hJSVF2s65sr6amhq8/vrrCA0NhbOzMzp37ow333wTdXV1Uh5VzJNIVrNlyxbRwcFB/Oyzz8Rz586Js2fPFl1dXcUrV65Yu2uqNWLECHHdunXimTNnxLS0NHH06NFip06dxNLSUinPihUrRDc3N/H//u//xNOnT4vPPPOMGBAQIJaUlFix5+qUnJwshoSEiA8++KA4e/ZsKZ1zZBtu3LghBgcHi1OnThVPnDghZmZminv27BEvXLgg5eFcWd/SpUtFLy8vcfv27WJmZqb4zTffiO3btxc//PBDKY8a5okBkRX169dP/Mtf/iJLu//++8UFCxZYqUfUUF5enghAPHjwoCiKolhXVyf6+/uLK1askPLcunVL1Gq14ieffGKtbqrSzZs3xbCwMHH37t3i4MGDpYCIc2Q75s+fLw4cONDgds6VbRg9erT45z//WZY2btw48dlnnxVFUT3zxD+ZWUlVVRVSUlIwfPhwWfrw4cNx7NgxK/WKGtLpdAAAT09PAEBmZiZyc3Nl8+bk5ITBgwdz3lrZjBkzMHr0aDzyyCOydM6R7UhMTERUVBSefvpp+Pr6IiIiAp999pm0nXNlGwYOHIi9e/fit99+AwD8/PPPOHLkCEaNGgVAPfPEh7taSUFBAWpra+Hn5ydL9/PzQ25urpV6RfWJoog5c+Zg4MCBCA8PBwBpbpTm7cqVK63eR7XasmULUlNTcfLkSb1tnCPbcenSJXz88ceYM2cOXn31VSQnJ2PWrFlwcnLClClTOFc2Yv78+dDpdLj//vthb2+P2tpavP3225g4cSIA9RxTDIisTBAE2XtRFPXSyDpmzpyJX375BUeOHNHbxnmznqysLMyePRu7du1Cu3btDObjHFlfXV0doqKisGzZMgBAREQEzp49i48//hhTpkyR8nGurGvr1q3YtGkTvvrqK/Ts2RNpaWlISEhAYGAgnnvuOSnfvT5P/JOZlXh7e8Pe3l7vbFBeXp5eFE6t76WXXkJiYiL279+Pjh07Sun+/v4AwHmzopSUFOTl5aFPnz7QaDTQaDQ4ePAgPvroI2g0GmkeOEfWFxAQgAceeECW1qNHD1y9ehUAjydb8fLLL2PBggWYMGECevXqhbi4OPztb3/D8uXLAahnnhgQWYmjoyP69OmD3bt3y9J3796NAQMGWKlXJIoiZs6ciW+//Rb79u1DaGiobHtoaCj8/f1l81ZVVYWDBw9y3lrJsGHDcPr0aaSlpUmvqKgoTJ48GWlpaejcuTPnyEbExsbqLVvx22+/ITg4GACPJ1tRXl4OOzt5OGBvby/ddq+aebLiBd2qd+e2+7Vr14rnzp0TExISRFdXV/Hy5cvW7ppq/fWvfxW1Wq144MABMScnR3qVl5dLeVasWCFqtVrx22+/FU+fPi1OnDjxnrv9tK2pf5eZKHKObEVycrKo0WjEt99+W8zIyBA3b94suri4iJs2bZLycK6s77nnnhPvu+8+6bb7b7/9VvT29hZfeeUVKY8a5okBkZX985//FIODg0VHR0cxMjJSur2brAOA4mvdunVSnrq6OnHx4sWiv7+/6OTkJA4aNEg8ffq09TpNegER58h2fP/992J4eLjo5OQk3n///eKnn34q2865sr6SkhJx9uzZYqdOncR27dqJnTt3Fl977TWxsrJSyqOGeRJEURSteYaKiIiIyNp4DRERERGpHgMiIiIiUj0GRERERKR6DIiIiIhI9RgQERERkeoxICIiIiLVY0BEREREqseAiIjuOSEhIfjwww9NLr9+/Xp06NBBev/GG2/goYceMrtf9Q0ZMgQJCQkWrZOITMeAiIhUTSl4euaZZ/Dbb7+1Wh+qq6sxf/589OrVC66urggMDMSUKVNw7dq1VusDkdoxICIim1RVVWW1tp2dneHr69tq7ZWXlyM1NRWLFi1Camoqvv32W/z2228YM2ZMq/WBSO0YEBFRqxgyZAhmzpyJmTNnokOHDvDy8sLrr7+OO08PCgkJwdKlSzF16lRotVrEx8cDAI4dO4ZBgwbB2dkZQUFBmDVrFsrKyqR68/Ly8MQTT8DZ2RmhoaHYvHmzXttvvPEGOnXqBCcnJwQGBmLWrFlSn65cuYK//e1vEAQBgiAA0P+T2R0bN25ESEgItFotJkyYgJs3bxq172VlZZgyZQrat2+PgIAAvPfee7LtWq0Wu3fvxvjx49G9e3dER0dj5cqVSElJwdWrV41qg4jMw4CIiFrNhg0boNFocOLECXz00Uf44IMP8Pnnn0vb3333XYSHhyMlJQWLFi3C6dOnMWLECIwbNw6//PILtm7diiNHjmDmzJlSmalTp+Ly5cvYt28f/vWvf2H16tXIy8uTtv/rX//CBx98gDVr1iAjIwPbtm1Dr169AADffvstOnbsiDfffBM5OTnIyckx2PeLFy9i27Zt2L59O7Zv346DBw9ixYoVRu33yy+/jP379+O7777Drl27cODAAaSkpDRaRqfTQRAExcCMiFqAlR8uS0QqMXjwYLFHjx5iXV2dlDZ//nyxR48eoiiKYnBwsDh27FhZmbi4OHH69OmytMOHD4t2dnZiRUWFmJ6eLgIQjx8/Lm0/f/68CED84IMPRFEUxffee0/s1q2bWFVVpdiv4OBgKe8d69atE7VarfR+8eLFoouLi1hSUiKlvfzyy2L//v2b3O+bN2+Kjo6O4pYtW6S0wsJC0dnZWZw9e7ZimYqKCrFPnz7i5MmTm6yfiCyDZ4iIqNVER0dLf5YCgJiYGGRkZKC2thYAEBUVJcufkpKC9evXo3379tJrxIgRqKurQ2ZmJs6fPw+NRiMrd//998vOqjz99NOoqKhA586dER8fj++++w41NTXN7ntISAjc3Nyk9wEBAbIzUYZcvHgRVVVViImJkdI8PT3RvXt3xfzV1dWYMGEC6urqsHr16mb3k4hMw4CIiGyGq6ur7H1dXR1eeOEFpKWlSa+ff/4ZGRkZ6NKli3T9Uf0gq6GgoCCkp6fjn//8J5ydnfHiiy9i0KBBqK6ublbfHBwcZO8FQUBdXV2T5e700RjV1dUYP348MjMzsXv3bri7uzerj0RkOgZERNRqjh8/rvc+LCwM9vb2ivkjIyNx9uxZdO3aVe/l6OiIHj16oKamBqdOnZLKpKeno7i4WFaPs7MzxowZg48++ggHDhxAUlISTp8+DQBwdHSUzlC1hK5du8LBwUG270VFRXq39d8JhjIyMrBnzx54eXm1WJ+ISJ/G2h0gIvXIysrCnDlz8MILLyA1NRUrV67Uu+Oqvvnz5yM6OhozZsxAfHw8XF1dcf78eezevRsrV65E9+7d8dhjjyE+Ph6ffvopNBoNEhIS4OzsLNWxfv161NbWon///nBxccHGjRvh7OyM4OBgALf/FHbo0CFMmDABTk5O8Pb2tug+t2/fHtOmTcPLL78MLy8v+Pn54bXXXoOd3d3/j9bU1OCPf/wjUlNTsX37dtTW1iI3NxfA7T+vOTo6WrRPRKSPARERtZopU6agoqIC/fr1g729PV566SVMnz7dYP4HH3wQBw8exGuvvYaHH34YoiiiS5cueOaZZ6Q869atw/PPP4/BgwfDz88PS5cuxaJFi6TtHTp0wIoVKzBnzhzU1taiV69e+P7776UzMG+++SZeeOEFdOnSBZWVlc36E5ex3n33XZSWlmLMmDFwc3PD3LlzodPppO3Z2dlITEwEAL0Vsffv348hQ4ZYvE9EJCeILXH0ExE1MGTIEDz00ENmPVKDiKil8BoiIiIiUj0GREREZrh69apsWYCGL640TdQ28E9mRERmqKmpweXLlw1uDwkJgUbDyzWJbB0DIiIiIlI9/smMiIiIVI8BEREREakeAyIiIiJSPQZEREREpHoMiIiIiEj1GBARERGR6jEgIiIiItVjQERERESq9/8DnL9AdLDD+YkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Berl',prodejce=['ČD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c75fc8e3-9c18-4652-804b-6d4f6fb0823d",
   "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>oscrapovano</th>\n",
       "      <th>prodejce</th>\n",
       "      <th>odkud</th>\n",
       "      <th>kam</th>\n",
       "      <th>odjezd</th>\n",
       "      <th>predstih</th>\n",
       "      <th>predstih_d</th>\n",
       "      <th>predstih_h</th>\n",
       "      <th>cena</th>\n",
       "      <th>prostredek</th>\n",
       "      <th>volnych_mist</th>\n",
       "      <th>obsazenost</th>\n",
       "      <th>jizdni_doba</th>\n",
       "      <th>vzdalenost</th>\n",
       "      <th>zpozdeni</th>\n",
       "      <th>cena_poznamka</th>\n",
       "      <th>den</th>\n",
       "      <th>prestupy</th>\n",
       "      <th>vlaky</th>\n",
       "      <th>mistenka_zdarma</th>\n",
       "      <th>nahradni_bus</th>\n",
       "      <th>volna_mista_economy</th>\n",
       "      <th>volna_mista_economy_plus</th>\n",
       "      <th>volna_mista_economy_business</th>\n",
       "      <th>volna_mista_premium</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2024-10-31 23:32:19</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Brno hl.n.</td>\n",
       "      <td>Hamburg Hbf</td>\n",
       "      <td>2024-11-01 15:39:00</td>\n",
       "      <td>0 days 16:06:41</td>\n",
       "      <td>0</td>\n",
       "      <td>16.111389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané vysoké obsazení - doporučujeme ...</td>\n",
       "      <td>992.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0, 0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>pá</td>\n",
       "      <td>3</td>\n",
       "      <td>[EC 276 Metropolitan, EC 458 Canopus, ICE 1500...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2024-10-31 23:32:19</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Brno hl.n.</td>\n",
       "      <td>Hamburg Hbf</td>\n",
       "      <td>2024-11-01 18:22:00</td>\n",
       "      <td>0 days 18:49:41</td>\n",
       "      <td>0</td>\n",
       "      <td>18.828056</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané střední obsazení - doporučujeme...</td>\n",
       "      <td>865.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0, 0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>pá</td>\n",
       "      <td>3</td>\n",
       "      <td>[EC 281 Metropolitan, EC 107 Porta Moravica, N...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2024-10-31 23:32:19</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Brno hl.n.</td>\n",
       "      <td>Hamburg Hbf</td>\n",
       "      <td>2024-11-01 00:29:00</td>\n",
       "      <td>0 days 00:56:41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.944722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané střední obsazení - doporučujeme...</td>\n",
       "      <td>635.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Cena v dalším kroku</td>\n",
       "      <td>pá</td>\n",
       "      <td>1</td>\n",
       "      <td>[NJ 456 nightjet, ICE 806]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2024-10-31 23:32:44</td>\n",
       "      <td>ČD</td>\n",
       "      <td>München Hbf (tief)</td>\n",
       "      <td>Salzburg Hbf</td>\n",
       "      <td>2024-11-01 03:13:00</td>\n",
       "      <td>0 days 03:40:16</td>\n",
       "      <td>0</td>\n",
       "      <td>3.671111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané střední obsazení - doporučujeme...</td>\n",
       "      <td>864.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0, 0, 0]</td>\n",
       "      <td>Cena v dalším kroku</td>\n",
       "      <td>pá</td>\n",
       "      <td>4</td>\n",
       "      <td>[TL 6612/, EC 458 Canopus, ICE 1607, S 6803, N...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2024-10-31 23:32:44</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Liberec</td>\n",
       "      <td>Salzburg Hbf</td>\n",
       "      <td>2024-11-01 20:28:00</td>\n",
       "      <td>0 days 20:55:16</td>\n",
       "      <td>0</td>\n",
       "      <td>20.921111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané střední obsazení - doporučujeme...</td>\n",
       "      <td>685.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0, 0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>pá</td>\n",
       "      <td>3</td>\n",
       "      <td>[R 1336/, NJ 457 nightjet, EN 407 Chopin, rjx ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410366</th>\n",
       "      <td>2024-11-13 23:53:08</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Budapest-Deli pu</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>2024-11-27 23:25:00</td>\n",
       "      <td>13 days 23:31:52</td>\n",
       "      <td>13</td>\n",
       "      <td>335.531111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané střední obsazení - doporučujeme...</td>\n",
       "      <td>706.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>st</td>\n",
       "      <td>2</td>\n",
       "      <td>[R 4968, ER 9410, rj 70 Vindobona]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410376</th>\n",
       "      <td>2024-11-13 23:53:08</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Budapest-Nyugati pu</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>2024-11-27 19:30:00</td>\n",
       "      <td>13 days 19:36:52</td>\n",
       "      <td>13</td>\n",
       "      <td>331.614444</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>763.0</td>\n",
       "      <td>610.0</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Cena v dalším kroku</td>\n",
       "      <td>st</td>\n",
       "      <td>0</td>\n",
       "      <td>[EN 476 Metropol /IC 576]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410377</th>\n",
       "      <td>2024-11-13 23:53:08</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Budapest-Kelenföld</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>2024-11-27 19:55:00</td>\n",
       "      <td>13 days 20:01:52</td>\n",
       "      <td>13</td>\n",
       "      <td>332.031111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Předpokládané nízké obsazení, Téměr vyprodaná...</td>\n",
       "      <td>609.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[0, 0, 0]</td>\n",
       "      <td>Zjistit cenu</td>\n",
       "      <td>st</td>\n",
       "      <td>2</td>\n",
       "      <td>[EN 462 KALMAN IMRE, Ex 301136 Gepard Express/...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410643</th>\n",
       "      <td>2024-11-13 23:56:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Bratislava hl.st.</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>2024-12-01 21:58:00</td>\n",
       "      <td>17 days 22:01:35</td>\n",
       "      <td>17</td>\n",
       "      <td>430.026389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>615.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Cena v dalším kroku</td>\n",
       "      <td>ne</td>\n",
       "      <td>0</td>\n",
       "      <td>[EN 476 Metropol /IC 576]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410664</th>\n",
       "      <td>2024-11-13 23:56:25</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Bratislava hl.st.</td>\n",
       "      <td>Praha hl.n.</td>\n",
       "      <td>2024-12-02 21:58:00</td>\n",
       "      <td>18 days 22:01:35</td>\n",
       "      <td>18</td>\n",
       "      <td>454.026389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vlak</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[Téměr vyprodaná místa k sezení]</td>\n",
       "      <td>615.0</td>\n",
       "      <td>396.0</td>\n",
       "      <td>[0]</td>\n",
       "      <td>Cena v dalším kroku</td>\n",
       "      <td>po</td>\n",
       "      <td>0</td>\n",
       "      <td>[EN 476 Metropol /IC 576]</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29749 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               oscrapovano prodejce                odkud           kam  \\\n",
       "114    2024-10-31 23:32:19       ČD           Brno hl.n.   Hamburg Hbf   \n",
       "120    2024-10-31 23:32:19       ČD           Brno hl.n.   Hamburg Hbf   \n",
       "125    2024-10-31 23:32:19       ČD           Brno hl.n.   Hamburg Hbf   \n",
       "133    2024-10-31 23:32:44       ČD   München Hbf (tief)  Salzburg Hbf   \n",
       "134    2024-10-31 23:32:44       ČD              Liberec  Salzburg Hbf   \n",
       "...                    ...      ...                  ...           ...   \n",
       "410366 2024-11-13 23:53:08       ČD     Budapest-Deli pu   Praha hl.n.   \n",
       "410376 2024-11-13 23:53:08       ČD  Budapest-Nyugati pu   Praha hl.n.   \n",
       "410377 2024-11-13 23:53:08       ČD   Budapest-Kelenföld   Praha hl.n.   \n",
       "410643 2024-11-13 23:56:25       ČD    Bratislava hl.st.   Praha hl.n.   \n",
       "410664 2024-11-13 23:56:25       ČD    Bratislava hl.st.   Praha hl.n.   \n",
       "\n",
       "                    odjezd         predstih  predstih_d  predstih_h  cena  \\\n",
       "114    2024-11-01 15:39:00  0 days 16:06:41           0   16.111389   NaN   \n",
       "120    2024-11-01 18:22:00  0 days 18:49:41           0   18.828056   NaN   \n",
       "125    2024-11-01 00:29:00  0 days 00:56:41           0    0.944722   NaN   \n",
       "133    2024-11-01 03:13:00  0 days 03:40:16           0    3.671111   NaN   \n",
       "134    2024-11-01 20:28:00  0 days 20:55:16           0   20.921111   NaN   \n",
       "...                    ...              ...         ...         ...   ...   \n",
       "410366 2024-11-27 23:25:00 13 days 23:31:52          13  335.531111   NaN   \n",
       "410376 2024-11-27 19:30:00 13 days 19:36:52          13  331.614444   NaN   \n",
       "410377 2024-11-27 19:55:00 13 days 20:01:52          13  332.031111   NaN   \n",
       "410643 2024-12-01 21:58:00 17 days 22:01:35          17  430.026389   NaN   \n",
       "410664 2024-12-02 21:58:00 18 days 22:01:35          18  454.026389   NaN   \n",
       "\n",
       "       prostredek  volnych_mist  \\\n",
       "114          vlak           NaN   \n",
       "120          vlak           NaN   \n",
       "125          vlak           NaN   \n",
       "133          vlak           NaN   \n",
       "134          vlak           NaN   \n",
       "...           ...           ...   \n",
       "410366       vlak           NaN   \n",
       "410376       vlak           NaN   \n",
       "410377       vlak           NaN   \n",
       "410643       vlak           NaN   \n",
       "410664       vlak           NaN   \n",
       "\n",
       "                                               obsazenost  jizdni_doba  \\\n",
       "114     [Předpokládané vysoké obsazení - doporučujeme ...        992.0   \n",
       "120     [Předpokládané střední obsazení - doporučujeme...        865.0   \n",
       "125     [Předpokládané střední obsazení - doporučujeme...        635.0   \n",
       "133     [Předpokládané střední obsazení - doporučujeme...        864.0   \n",
       "134     [Předpokládané střední obsazení - doporučujeme...        685.0   \n",
       "...                                                   ...          ...   \n",
       "410366  [Předpokládané střední obsazení - doporučujeme...        706.0   \n",
       "410376                   [Téměr vyprodaná místa k sezení]        763.0   \n",
       "410377  [Předpokládané nízké obsazení, Téměr vyprodaná...        609.0   \n",
       "410643                   [Téměr vyprodaná místa k sezení]        615.0   \n",
       "410664                   [Téměr vyprodaná místa k sezení]        615.0   \n",
       "\n",
       "        vzdalenost         zpozdeni        cena_poznamka den  prestupy  \\\n",
       "114            NaN     [0, 0, 0, 0]         Zjistit cenu  pá         3   \n",
       "120            NaN     [0, 0, 0, 0]         Zjistit cenu  pá         3   \n",
       "125            NaN              [0]  Cena v dalším kroku  pá         1   \n",
       "133            NaN  [0, 0, 0, 0, 0]  Cena v dalším kroku  pá         4   \n",
       "134            NaN     [0, 0, 0, 0]         Zjistit cenu  pá         3   \n",
       "...            ...              ...                  ...  ..       ...   \n",
       "410366         NaN        [0, 0, 0]         Zjistit cenu  st         2   \n",
       "410376       610.0              [0]  Cena v dalším kroku  st         0   \n",
       "410377         NaN        [0, 0, 0]         Zjistit cenu  st         2   \n",
       "410643       396.0              [0]  Cena v dalším kroku  ne         0   \n",
       "410664       396.0              [0]  Cena v dalším kroku  po         0   \n",
       "\n",
       "                                                    vlaky mistenka_zdarma  \\\n",
       "114     [EC 276 Metropolitan, EC 458 Canopus, ICE 1500...            None   \n",
       "120     [EC 281 Metropolitan, EC 107 Porta Moravica, N...            None   \n",
       "125                            [NJ 456 nightjet, ICE 806]            None   \n",
       "133     [TL 6612/, EC 458 Canopus, ICE 1607, S 6803, N...            None   \n",
       "134     [R 1336/, NJ 457 nightjet, EN 407 Chopin, rjx ...            None   \n",
       "...                                                   ...             ...   \n",
       "410366                 [R 4968, ER 9410, rj 70 Vindobona]            None   \n",
       "410376                          [EN 476 Metropol /IC 576]            None   \n",
       "410377  [EN 462 KALMAN IMRE, Ex 301136 Gepard Express/...            None   \n",
       "410643                          [EN 476 Metropol /IC 576]            None   \n",
       "410664                          [EN 476 Metropol /IC 576]            None   \n",
       "\n",
       "       nahradni_bus  volna_mista_economy  volna_mista_economy_plus  \\\n",
       "114            None                  NaN                       NaN   \n",
       "120            None                  NaN                       NaN   \n",
       "125            None                  NaN                       NaN   \n",
       "133            None                  NaN                       NaN   \n",
       "134            None                  NaN                       NaN   \n",
       "...             ...                  ...                       ...   \n",
       "410366         None                  NaN                       NaN   \n",
       "410376         None                  NaN                       NaN   \n",
       "410377         None                  NaN                       NaN   \n",
       "410643         None                  NaN                       NaN   \n",
       "410664         None                  NaN                       NaN   \n",
       "\n",
       "        volna_mista_economy_business  volna_mista_premium  \n",
       "114                              NaN                  NaN  \n",
       "120                              NaN                  NaN  \n",
       "125                              NaN                  NaN  \n",
       "133                              NaN                  NaN  \n",
       "134                              NaN                  NaN  \n",
       "...                              ...                  ...  \n",
       "410366                           NaN                  NaN  \n",
       "410376                           NaN                  NaN  \n",
       "410377                           NaN                  NaN  \n",
       "410643                           NaN                  NaN  \n",
       "410664                           NaN                  NaN  \n",
       "\n",
       "[29749 rows x 25 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['cena'].isnull() & (df['jizdni_doba'] > 600)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bca9e957-1d21-4124-b21b-349615546be9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "499.0     0\n",
      "599.0     0\n",
      "699.0    35\n",
      "899.0    36\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Čop',prodejce=['RJ'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ceeae615-7982-4795-97eb-85f6e7fc8778",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "490.0      2\n",
      "525.0      2\n",
      "560.0      3\n",
      "645.0      2\n",
      "671.0     38\n",
      "680.0      6\n",
      "715.0     11\n",
      "745.0     18\n",
      "748.0     33\n",
      "774.0      2\n",
      "800.0      2\n",
      "809.0      3\n",
      "835.0      2\n",
      "844.0     37\n",
      "870.0      4\n",
      "874.0     38\n",
      "900.0      3\n",
      "929.0      2\n",
      "964.0      3\n",
      "977.0      7\n",
      "999.0      7\n",
      "1003.0    13\n",
      "1032.0    34\n",
      "1058.0     0\n",
      "1093.0     0\n",
      "1097.0     5\n",
      "1103.0    56\n",
      "1105.0    45\n",
      "1123.0     3\n",
      "1127.0    33\n",
      "1128.0     0\n",
      "1132.0     8\n",
      "1137.0     2\n",
      "1143.0    45\n",
      "1158.0     0\n",
      "1161.0    46\n",
      "1169.0    46\n",
      "1183.0     0\n",
      "1187.0     0\n",
      "1189.0     2\n",
      "1208.0     1\n",
      "1222.0     0\n",
      "1238.0    33\n",
      "1252.0     2\n",
      "1256.0    10\n",
      "1257.0     0\n",
      "1286.0    46\n",
      "1290.0     3\n",
      "1292.0     2\n",
      "1318.0     7\n",
      "1344.0     2\n",
      "1445.0     5\n",
      "1471.0     0\n",
      "1536.0     0\n",
      "1540.0     1\n",
      "1548.0     0\n",
      "1576.0     0\n",
      "1600.0     0\n",
      "1602.0     2\n",
      "1628.0     0\n",
      "1670.0     3\n",
      "1703.0     0\n",
      "1834.0    22\n",
      "1961.0     0\n",
      "2002.0     0\n",
      "2031.0     0\n",
      "2037.0     0\n",
      "2151.0     3\n",
      "2158.0    38\n",
      "2198.0     2\n",
      "2205.0     3\n",
      "2243.0    13\n",
      "2247.0     0\n",
      "2316.0     2\n",
      "2563.0    12\n",
      "4324.0     0\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','War',prodejce=['ČD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0e439133-a444-4277-9b27-cc43f1dd8864",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\2700825135.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  dfp['predstih_d2'] = dfp['predstih_d'].apply(lambda x: int(x))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cena\n",
      "399.0      0\n",
      "499.0      0\n",
      "679.0      0\n",
      "799.0      0\n",
      "899.0      0\n",
      "1047.0     0\n",
      "1079.0    38\n",
      "1247.0     0\n",
      "Name: predstih_d2, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "predstih('Praha','Košice')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1c46afd8-72b8-4aba-b6e5-7e8bf12a6768",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "predstih_d\n",
       "0     3328.0\n",
       "1     1780.0\n",
       "2     1780.0\n",
       "3     1780.0\n",
       "4     2296.0\n",
       "5     2296.0\n",
       "6     1780.0\n",
       "7     1780.0\n",
       "8        NaN\n",
       "9     2812.0\n",
       "10       NaN\n",
       "11    2812.0\n",
       "12       NaN\n",
       "13    2296.0\n",
       "14       NaN\n",
       "15       NaN\n",
       "16       NaN\n",
       "17       NaN\n",
       "18       NaN\n",
       "19       NaN\n",
       "20       NaN\n",
       "21       NaN\n",
       "22       NaN\n",
       "23       NaN\n",
       "25    3586.0\n",
       "26    2812.0\n",
       "27       NaN\n",
       "28    1780.0\n",
       "29       NaN\n",
       "31       NaN\n",
       "Name: cena, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['odkud'].str.contains('Prah')) & (df['kam'].str.contains('Bru')) & (df['prestupy'] == 0)].groupby('predstih_d')['cena'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eae139ad-fcf5-49e4-944b-f32e82b74a16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "predstih_d\n",
       "39    1471.0\n",
       "41    1264.0\n",
       "42    1264.0\n",
       "43    1264.0\n",
       "44    1264.0\n",
       "45    1264.0\n",
       "46    1264.0\n",
       "47    1264.0\n",
       "48    1264.0\n",
       "49    1264.0\n",
       "50    1264.0\n",
       "51    1264.0\n",
       "52    1264.0\n",
       "53    1264.0\n",
       "54    1264.0\n",
       "55    1264.0\n",
       "56    1264.0\n",
       "61    1264.0\n",
       "62    1264.0\n",
       "63    1264.0\n",
       "64    1264.0\n",
       "65    1264.0\n",
       "66    1264.0\n",
       "67    1264.0\n",
       "68    1264.0\n",
       "69    1264.0\n",
       "74    1264.0\n",
       "75    1264.0\n",
       "76    1264.0\n",
       "77    1264.0\n",
       "78    1264.0\n",
       "79    1264.0\n",
       "80    1264.0\n",
       "81    1264.0\n",
       "85    1264.0\n",
       "86    1264.0\n",
       "87    1264.0\n",
       "88    1264.0\n",
       "89    1264.0\n",
       "90    1264.0\n",
       "91       NaN\n",
       "Name: cena, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['odkud'].str.contains('Brn')) & (df['kam'].str.contains('Hamb')) & (df['prestupy'] == 0)].groupby('predstih_d')['cena'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1a3539b8-d710-4657-b1b5-4f9afccff88c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "predstih_d\n",
       "-1       NaN\n",
       " 0     993.0\n",
       " 1     993.0\n",
       " 2     645.0\n",
       " 3     645.0\n",
       " 4     645.0\n",
       " 5     645.0\n",
       " 6     645.0\n",
       " 7     645.0\n",
       " 8     645.0\n",
       " 9     645.0\n",
       " 10    645.0\n",
       " 11    645.0\n",
       " 12    645.0\n",
       " 13    645.0\n",
       " 14    645.0\n",
       " 15    645.0\n",
       " 16    800.0\n",
       " 17    645.0\n",
       " 18    800.0\n",
       " 20    800.0\n",
       " 21    645.0\n",
       " 22    645.0\n",
       " 23    645.0\n",
       " 24    645.0\n",
       " 25    645.0\n",
       " 26    645.0\n",
       " 27    645.0\n",
       " 28    645.0\n",
       " 36    645.0\n",
       " 37    645.0\n",
       " 38    993.0\n",
       "Name: cena, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['odkud'].str.contains('Ostr')) & (df['kam'].str.contains('Gd')) & (df['prestupy'] == 0)].groupby('predstih_d')['cena'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "010020c4-46b5-4635-958a-eec3c6fc84bc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "85c92a4f-1f6d-4205-9042-3e7b3ed013ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\micha\\AppData\\Local\\Temp\\ipykernel_32956\\546046339.py:1: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
      "  df[df['odkud'].str.contains('Praha') & (df['oscrapovano'] > '2024-11-05')].groupby('kam').size().nlargest(100)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "kam\n",
       "Brno hl.n.                                 26798\n",
       "Ostrava hl.n.                              18173\n",
       "Brno                                        9335\n",
       "Bratislava hl.st.                           7845\n",
       "Wien Hbf                                    6423\n",
       "Bruxelles-Midi                              5302\n",
       "Berlin Hbf (tief)                           4772\n",
       "Warszawa Centralna                          4682\n",
       "Budapest-Nyugati pu                         4547\n",
       "Ostrava                                     4127\n",
       "Ljubljana                                   3818\n",
       "Budapest-Kelenföld                          3614\n",
       "České Budějovice                            3288\n",
       "Ostrava-Svinov                              3099\n",
       "Bern                                        2450\n",
       "Zagreb Glavni kolodvor                      2117\n",
       "Tanvald                                     2011\n",
       "Budapešť                                    1890\n",
       "Bratislava-Petržalka                        1163\n",
       "Bratislava                                  1086\n",
       "Wien Franz-Josefs-Bahnhof                    907\n",
       "Vídeň                                        817\n",
       "Košice                                       790\n",
       "Berlin Hbf                                   788\n",
       "Amsterdam Centraal                           754\n",
       "Krakow Glowny                                614\n",
       "Flughafen Wien                               377\n",
       "Čop                                          186\n",
       "Krakov                                       154\n",
       "Berlin Südkreuz                              123\n",
       "Amsterdam Zuid                               107\n",
       "Kraków Główny                                 98\n",
       "Wien Stadlau Frachtenbahnhof                  48\n",
       "Berlin Ostbahnhof                             44\n",
       "Berlin Gesundbrunnen                          38\n",
       "Bruxelles-Central                             35\n",
       "Warszawa Wschodnia                            34\n",
       "Budapest-Deli pu                              28\n",
       "Berlin-Lichtenberg                            25\n",
       "Krakow Mydlniki                               24\n",
       "Wien Stadlau                                  23\n",
       "Krakow Business Park                           6\n",
       "Berlin Betriebsbf Schöneweide                  5\n",
       "Berlin Zoologischer Garten                     4\n",
       "Berlin-Lichterfelde Ost                        4\n",
       "Berlin-Grünau                                  1\n",
       "Liberec                                        0\n",
       "Olomouc                                        0\n",
       "Ústí nad Labem hlavní nádraží                  0\n",
       "Ústí n.L.hl.n.                                 0\n",
       "Zürich HB                                      0\n",
       "Dresden Hbf                                    0\n",
       "Flughafen BER - Terminal 5 (Schönefeld)        0\n",
       "Gdansk Glowny                                  0\n",
       "Hamburg Hbf                                    0\n",
       "Hamburg-Harburg                                0\n",
       "Jihlava                                        0\n",
       "Slavonice                                      0\n",
       "Salzburg Hbf                                   0\n",
       "Przemysl Gl.                                   0\n",
       "Przemysl                                       0\n",
       "Praha-Smíchov                                  0\n",
       "Praha-Libeň                                    0\n",
       "Praha-Holešovice                               0\n",
       "Praha hl.n.                                    0\n",
       "Praha Masarykovo n.                            0\n",
       "Praha                                          0\n",
       "Plzeň hl.n.                                    0\n",
       "Pardubice hl.n.                                0\n",
       "Karlovy Vary                                   0\n",
       "Karlovy Vary dolní n.                          0\n",
       "Karlovy Vary, , terminál                       0\n",
       "Olomouc hl.n.                                  0\n",
       "Amsterdam Bijlmer ArenA                        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Praha') & (df['oscrapovano'] > '2024-11-05')].groupby('kam').size().nlargest(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3ab7f3fe-a6d5-416f-bb8c-328df7d088e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Pra') & df['kam'].str.contains('Warszawa')]['cena'].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5549597b-5e1e-4acd-a2fe-3b4b087479e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='predstih_d', ylabel='cena'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Pra') & df['kam'].str.contains('Warszawa')].plot.scatter(x=\"predstih_d\",y=\"cena\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0520a503-e9c6-4168-9e67-da2d93ba5a51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Pra') & df['kam'].str.contains('Zagr')]['cena'].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "88ed1358-d2ba-47f7-81a4-311189d99de1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5AAAAREVIQbRkyZJwzwMAACBqQrqGSJK+/vprrV27VosWLVJDQ4Mk6ejRo2psbAzb5AAAANpCSGeIDh06pJEjR+rw4cMKBAIaNmyYkpKS9MILL+jMmTN65ZVXwj1PAACAiAnpDNHUqVPVr18/1dXVKSEhwd0+duxY/e1vfwvb5AAAANpCyHeZ/c///I/i4uKCtvfs2VNffPFFWCYGAADQVkI6Q9TS0qLm5uZW26uqqpSUlHTVkwIAAGhLIQXRsGHDNH/+fPe5x+NRY2OjZs2axdd5AACADiekt8zmzZunwYMH6+abb9aZM2c0YcIE7d+/X6mpqXrrrbfCPUcAAICICimIfD6fKioq9NZbb2nHjh1qaWnRpEmTdO+99wZdZA0AANARhBREkpSQkKAHH3xQDz74YDjnAwAA0OZCCqLly5dfcv99990X0mQAAACiIaQgmjp1atDzs2fP6quvvlJcXJw6d+5MEAEAgA4lpLvM6urqgh6NjY3at2+fbrvtNi6qBgAAHU7I32V2vqysLM2dO7fV2SMAAID2LmxBJEmdOnXS0aNHw3lIAACAiAvpGqL3338/6LkxRtXV1VqwYIF++tOfhmViAAAAbSWkILrrrruCnns8Hl1//fW644479NJLL4VjXgAAAG0mpCBqaWkJ9zwAAACiJqzXEAEAAHREIZ0hmjZt2mWPLSkpCeW3AAAAaDMhBdHOnTu1Y8cOff3117rxxhslSf/4xz/UqVMn/ehHP3LHeTye8MwSAAAggkIKotGjRyspKUnLli1Tly5dJH3zYY0PPPCAfvazn2n69OlhnSQAAEAkhXQN0UsvvaTi4mI3hiSpS5cueu6557jLDAAAdDghBVF9fb2OHTvWanttba0aGhquelIAAABtKaQgGjt2rB544AH9+c9/VlVVlaqqqvTnP/9ZkyZN0rhx48I9RwAAgIgK6RqiV155RTNmzNAvf/lLnT179psDxcRo0qRJevHFF8M6QQAAgEgLKYg6d+6sP/zhD3rxxRf12WefyRijG264QYmJieGeHwAAQMRd1QczVldXq7q6Wr1791ZiYqKMMeGaFwAAQJsJKYhOnDihIUOGqHfv3rrzzjtVXV0tSfrVr37FLfcAAKDDCSmIfvOb3yg2NlaHDx9W586d3e3jx49XaWlp2CYHAADQFkIKojVr1uj5559X9+7dg7ZnZWXp0KFDl32cDRs2aPTo0fL5fPJ4PHrvvfeC9htjNHv2bPl8PiUkJGjQoEHas2dP0JhAIKApU6YoNTVViYmJGjNmjKqqqoLG1NXVqbCwUI7jyHEcFRYW6uTJk1f0mgEAwLUrpCA6depU0Jmhc7788kvFx8df0XH69OmjBQsWXHD/Cy+8oJKSEi1YsEDbtm2T1+vVsGHDgj7rqKioSKtWrdKKFSu0ceNGNTY2qqCgQM3Nze6YCRMmqKKiQqWlpSotLVVFRYUKCwuv4BUDAIBrWUh3md1+++1avny5fve730n65jvLWlpa9OKLL2rw4MGXfZz8/Hzl5+dfcJ8xRvPnz9czzzzjfrbRsmXLlJ6erjfffFOPPPKI/H6/Fi9erNdee01Dhw6VJL3++uvKyMjQ2rVrNWLECO3du1elpaXasmWLcnNzJUmvvvqq8vLytG/fPve72AAAgL1COkP04osvatGiRcrPz1dTU5OefPJJZWdna8OGDXr++efDMrEDBw6opqZGw4cPd7fFx8dr4MCB2rRpkyRp+/btOnv2bNAYn8+n7Oxsd8zmzZvlOI4bQ5LUv39/OY7jjrmQQCCg+vr6oAcAALg2hRREN998s3bt2qWf/OQnGjZsmE6dOqVx48Zp586d+sEPfhCWidXU1EiS0tPTg7anp6e7+2pqahQXFxf0nWoXGpOWltbq+Glpae6YCykuLnavOXIcRxkZGVf1egAAQPt1xW+ZnTsjs2jRIj377LORmFMQj8cT9NwY02rb+c4fc6Hx33acmTNnatq0ae7z+vp6oggAgGvUFZ8hio2NVWVl5bdGydXyer2S1OosTm1trXvWyOv1qqmpSXV1dZccc6Evoj1+/Hirs0//Kj4+XsnJyUEPAABwbQrpLbP77rtPixcvDvdcgmRmZsrr9aqsrMzd1tTUpPLycg0YMECS1LdvX8XGxgaNqa6uVmVlpTsmLy9Pfr9fW7dudcd8/PHH8vv97hgAAGC3kO4ya2pq0h//+EeVlZWpX79+rb7DrKSk5LKO09jYqH/+85/u8wMHDqiiokIpKSnq0aOHioqKNGfOHGVlZSkrK0tz5sxR586dNWHCBEmS4ziaNGmSpk+frq5duyolJUUzZsxQTk6Oe9fZTTfdpJEjR+qhhx7SokWLJEkPP/ywCgoKuMMMAABIusIg+vzzz9WrVy9VVlbqRz/6kSTpH//4R9CYK3kr7ZNPPgm6Tf/cNTsTJ07U0qVL9eSTT+r06dN67LHHVFdXp9zcXK1Zs0ZJSUnuz8ybN08xMTG6++67dfr0aQ0ZMkRLly5Vp06d3DFvvPGGnnjiCfdutDFjxlz0s48AAIB9POYKvpG1U6dOqq6udu/aGj9+vH7/+99f8lqca0V9fb0cx5Hf7w/79US9nlod1uPh4g7OHRXtKQAA2tDl/vt9RdcQnd9OH374oU6dOhXaDAEAANqJkC6qPucKTi4BAAC0W1cURB6Pp9U1QpG+/R4AACDSruiiamOM7r//fvcLXM+cOaNHH3201V1mK1euDN8MAQAAIuyKgmjixIlBz3/5y1+GdTIAAADRcEVBtGTJkkjNAwAAIGqu6qJqAACAawFBBAAArEcQAQAA6xFEAADAeiF9uSvQUXXEr0nh60YAIPI4QwQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALBeTLQnAAAITa+nVkd7Clfs4NxR0Z4CcEGcIQIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWa9dBNHv2bHk8nqCH1+t19xtjNHv2bPl8PiUkJGjQoEHas2dP0DECgYCmTJmi1NRUJSYmasyYMaqqqmrrlwIAANqxdh1EknTLLbeourrafezevdvd98ILL6ikpEQLFizQtm3b5PV6NWzYMDU0NLhjioqKtGrVKq1YsUIbN25UY2OjCgoK1NzcHI2XAwAA2qF2/11mMTExQWeFzjHGaP78+XrmmWc0btw4SdKyZcuUnp6uN998U4888oj8fr8WL16s1157TUOHDpUkvf7668rIyNDatWs1YsSINn0tAACgfWr3Z4j2798vn8+nzMxM3XPPPfr8888lSQcOHFBNTY2GDx/ujo2Pj9fAgQO1adMmSdL27dt19uzZoDE+n0/Z2dnumIsJBAKqr68PegAAgGtTuw6i3NxcLV++XH/961/16quvqqamRgMGDNCJEydUU1MjSUpPTw/6mfT0dHdfTU2N4uLi1KVLl4uOuZji4mI5juM+MjIywvjKAABAe9Kugyg/P18///nPlZOTo6FDh2r16tWSvnlr7ByPxxP0M8aYVtvOdzljZs6cKb/f7z6OHDkS4qsAAADtXbsOovMlJiYqJydH+/fvd68rOv9MT21trXvWyOv1qqmpSXV1dRcdczHx8fFKTk4OegAAgGtThwqiQCCgvXv3qlu3bsrMzJTX61VZWZm7v6mpSeXl5RowYIAkqW/fvoqNjQ0aU11drcrKSncMAABAu77LbMaMGRo9erR69Oih2tpaPffcc6qvr9fEiRPl8XhUVFSkOXPmKCsrS1lZWZozZ446d+6sCRMmSJIcx9GkSZM0ffp0de3aVSkpKZoxY4b7FhwAAIDUzoOoqqpKv/jFL/Tll1/q+uuvV//+/bVlyxb17NlTkvTkk0/q9OnTeuyxx1RXV6fc3FytWbNGSUlJ7jHmzZunmJgY3X333Tp9+rSGDBmipUuXqlOnTtF6WQAAoJ3xGGNMtCfREdTX18txHPn9/rBfT9TrqdVhPR6uLQfnjor2FNBOdcS/O/jzjLZ2uf9+d6hriAAAACKBIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPVioj0BAJfW66nV0Z7CFTs4d1S0pwAAV4QzRAAAwHoEEQAAsB5BBAAArEcQAQAA61kVRH/4wx+UmZmp73znO+rbt6/++7//O9pTAgAA7YA1QfT222+rqKhIzzzzjHbu3Kmf/exnys/P1+HDh6M9NQAAEGXWBFFJSYkmTZqkX/3qV7rppps0f/58ZWRkaOHChdGeGgAAiDIrPoeoqalJ27dv11NPPRW0ffjw4dq0adMFfyYQCCgQCLjP/X6/JKm+vj7s82sJfBX2YwLRFIn/TtBaR/y7o8dv3on2FK5Y5bMjoj2FK5Y966/RnsIVi9Q6n/v7yBhzyXFWBNGXX36p5uZmpaenB21PT09XTU3NBX+muLhYzz77bKvtGRkZEZkjcC1x5kd7BkD48Oe5bUR6nRsaGuQ4zkX3WxFE53g8nqDnxphW286ZOXOmpk2b5j5vaWnR//3f/6lr164X/RlcXH19vTIyMnTkyBElJydHezrWYN2jg3WPDtY9Otr7uhtj1NDQIJ/Pd8lxVgRRamqqOnXq1OpsUG1tbauzRufEx8crPj4+aNt3v/vdSE3RGsnJye3yP5hrHeseHax7dLDu0dGe1/1SZ4bOseKi6ri4OPXt21dlZWVB28vKyjRgwIAozQoAALQXVpwhkqRp06apsLBQ/fr1U15env7rv/5Lhw8f1qOPPhrtqQEAgCizJojGjx+vEydO6D//8z9VXV2t7OxsffDBB+rZs2e0p2aF+Ph4zZo1q9XbkIgs1j06WPfoYN2j41pZd4/5tvvQAAAArnFWXEMEAABwKQQRAACwHkEEAACsRxABAADrEUS4bBs2bNDo0aPl8/nk8Xj03nvvBe03xmj27Nny+XxKSEjQoEGDtGfPnqAxgUBAU6ZMUWpqqhITEzVmzBhVVVUFjamrq1NhYaEcx5HjOCosLNTJkycj/Orap+LiYv34xz9WUlKS0tLSdNddd2nfvn1BY1j38Fu4cKFuvfVW94Pm8vLy9OGHH7r7WfO2UVxcLI/Ho6KiIncbax8Zs2fPlsfjCXp4vV53vxXrboDL9MEHH5hnnnnGvPvuu0aSWbVqVdD+uXPnmqSkJPPuu++a3bt3m/Hjx5tu3bqZ+vp6d8yjjz5qvve975mysjKzY8cOM3jwYNOnTx/z9ddfu2NGjhxpsrOzzaZNm8ymTZtMdna2KSgoaKuX2a6MGDHCLFmyxFRWVpqKigozatQo06NHD9PY2OiOYd3D7/333zerV682+/btM/v27TNPP/20iY2NNZWVlcYY1rwtbN261fTq1cvceuutZurUqe521j4yZs2aZW655RZTXV3tPmpra939Nqw7QYSQnB9ELS0txuv1mrlz57rbzpw5YxzHMa+88ooxxpiTJ0+a2NhYs2LFCnfMF198Ya677jpTWlpqjDHmf//3f40ks2XLFnfM5s2bjSTz97//PcKvqv2rra01kkx5ebkxhnVvS126dDF//OMfWfM20NDQYLKyskxZWZkZOHCgG0SsfeTMmjXL9OnT54L7bFl33jJDWBw4cEA1NTUaPny4uy0+Pl4DBw7Upk2bJEnbt2/X2bNng8b4fD5lZ2e7YzZv3izHcZSbm+uO6d+/vxzHccfYzO/3S5JSUlIkse5tobm5WStWrNCpU6eUl5fHmreBxx9/XKNGjdLQoUODtrP2kbV//375fD5lZmbqnnvu0eeffy7JnnW35pOqEVnnvjj3/C/LTU9P16FDh9wxcXFx6tKlS6sx536+pqZGaWlprY6flpbW6st5bWOM0bRp03TbbbcpOztbEuseSbt371ZeXp7OnDmjf/u3f9OqVat08803u39xs+aRsWLFCu3YsUPbtm1rtY8/75GTm5ur5cuXq3fv3jp27Jiee+45DRgwQHv27LFm3QkihJXH4wl6boxpte1854+50PjLOc61bvLkydq1a5c2btzYah/rHn433nijKioqdPLkSb377ruaOHGiysvL3f2sefgdOXJEU6dO1Zo1a/Sd73znouNY+/DLz893f52Tk6O8vDz94Ac/0LJly9S/f39J1/6685YZwuLc3QjnV35tba37fxVer1dNTU2qq6u75Jhjx461Ov7x48db/d+JTaZMmaL3339f69evV/fu3d3trHvkxMXF6YYbblC/fv1UXFysPn366OWXX2bNI2j79u2qra1V3759FRMTo5iYGJWXl+v3v/+9YmJi3HVh7SMvMTFROTk52r9/vzV/5gkihEVmZqa8Xq/KysrcbU1NTSovL9eAAQMkSX379lVsbGzQmOrqalVWVrpj8vLy5Pf7tXXrVnfMxx9/LL/f746xiTFGkydP1sqVK7Vu3TplZmYG7Wfd244xRoFAgDWPoCFDhmj37t2qqKhwH/369dO9996riooKff/732ft20ggENDevXvVrVs3e/7Mt/VV3Oi4GhoazM6dO83OnTuNJFNSUmJ27txpDh06ZIz55rZMx3HMypUrze7du80vfvGLC96W2b17d7N27VqzY8cOc8cdd1zwtsxbb73VbN682WzevNnk5OS0m9sy29qvf/1r4ziO+eijj4Juh/3qq6/cMax7+M2cOdNs2LDBHDhwwOzatcs8/fTT5rrrrjNr1qwxxrDmbelf7zIzhrWPlOnTp5uPPvrIfP7552bLli2moKDAJCUlmYMHDxpj7Fh3ggiXbf369UZSq8fEiRONMd/cmjlr1izj9XpNfHy8uf32283u3buDjnH69GkzefJkk5KSYhISEkxBQYE5fPhw0JgTJ06Ye++91yQlJZmkpCRz7733mrq6ujZ6le3LhdZbklmyZIk7hnUPvwcffND07NnTxMXFmeuvv94MGTLEjSFjWPO2dH4QsfaRce5zhWJjY43P5zPjxo0ze/bscffbsO4eY4yJzrkpAACA9oFriAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANb7f4PUWaeYQ7flAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Praha') & df['kam'].str.contains('Berl')]['cena'].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "70ae2eb5-1db3-4ab5-9e17-2406b45602df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Frequency'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AY8eODfdcAAAAIiKkIFq8eHG45wEAABAxIV1DJEnff/+9Vq9erYULF6q+vl6StG/fPjU0NIRtcgAAAO0hpDNEu3fv1siRI7Vnzx4FAgENGzZMiYmJeuyxx3TkyBE988wz4Z4nAABAmwnpDNF9992nfv36qba2VgkJCc72sWPH6t133w3b5AAAANpDyJ8y+9e//qW4uLig7ZmZmfr666/DMjEAAID2EtIZoubmZjU1NbXYXlVVpcTExLOeFAAAQHsKKYiGDRumefPmOfddLpcaGhr08MMP8+s8AABAhxPSW2Zz587V4MGD1bt3bx05ckQTJ07Url27lJKSoldeeSXccwQAAGhTIQWR1+tVRUWFXnnlFX300Udqbm7WpEmTdNNNNwVdZA0AANARhBREkpSQkKDbbrtNt912WzjnAwAA0O5CCqKlS5eedP/NN98c0mQAAAAiIaQguu+++4LuHz16VN99953i4uLUuXNngggAAHQoIQVRbW1ti227du3Sb3/7W/3+978/60kBAM5NFz6wMtJTOGNfzRkV6SmgHYT8u8yOl52drTlz5rQ4ewQAABDtwhZEktSpUyft27cvnE8JAADQ5kJ6y+zNN98Mum+MUXV1tebPn69f/vKXYZkYAABAewkpiK677rqg+y6XS927d9fVV1+tJ554IhzzAgAAaDchBVFzc3O45wEAABAxYb2GCAAAoCMK6QzRtGnTTntsSUlJKD8CAACg3YQURFu3btVHH32k77//XhdffLEk6bPPPlOnTp10+eWXO+NcLld4ZgkAANCGQgqi0aNHKzExUc8//7y6du0q6Ycva7z11lv1q1/9StOnTw/rJAEAANpSSNcQPfHEEyouLnZiSJK6du2qRx55hE+ZAQCADiekIKqrq9M333zTYntNTY3q6+vPelIAAADtKaQgGjt2rG699Va99tprqqqqUlVVlV577TVNmjRJ48aNC/ccAQAA2lRI1xA988wzmjFjhn7zm9/o6NGjPzxRTIwmTZqkxx9/PKwTBAAAaGshnSHq3Lmznn76aR04cMD5xNl///tfPf300+rSpctpP8/69es1evRoeb1euVwuvfHGG0H7jTGaNWuWvF6vEhISNGjQIH3yySdBYwKBgKZOnaqUlBR16dJFY8aMUVVVVdCY2tpaFRQUyO12y+12q6CgQAcPHgzlpQMAgHPQWX0xY3V1taqrq9WrVy916dJFxpgzevyhQ4d02WWXaf78+Sfc/9hjj6mkpETz58/XBx98II/Ho2HDhgVdp1RUVKQVK1Zo2bJl2rBhgxoaGpSfn6+mpiZnzMSJE1VRUaHS0lKVlpaqoqJCBQUFob1oAABwzgnpLbMDBw5o/PjxWrt2rVwul3bt2qWf/OQnuv3223XBBRec9ifN8vLylJeXd8J9xhjNmzdPDz30kHNd0vPPP6+0tDS9/PLLuvPOO+X3+7Vo0SK98MILGjp0qCTpxRdfVEZGhlavXq0RI0bo008/VWlpqTZt2qT+/ftLkp599lnl5uZq586dzvcoAQAAe4V0huh3v/udYmNjtWfPHnXu3NnZPmHCBJWWloZlYpWVlfL5fBo+fLizLT4+XldddZXKy8slSVu2bNHRo0eDxni9XuXk5DhjNm7cKLfb7cSQJA0YMEBut9sZAwAA7BbSGaJVq1bpnXfeUY8ePYK2Z2dna/fu3WGZmM/nkySlpaUFbU9LS3N+hs/nU1xcXND3IR0bc+zxPp9PqampLZ4/NTXVGXMigUBAgUDAuV9XVxfaCwEAAFEvpDNEhw4dCjozdMy3336r+Pj4s57U/zr+138YY075K0GOH3Oi8ad6nuLiYucibLfbrYyMjDOcOQAA6ChCCqIrr7xSS5cude67XC41Nzfr8ccf1+DBg8MyMY/HI0ktzuLU1NQ4Z408Ho8aGxtVW1t70jEn+hLJ/fv3tzj79L9mzpwpv9/v3Pbu3XtWrwcAAESvkILo8ccf18KFC5WXl6fGxkbdf//9ysnJ0fr16/Xoo4+GZWJZWVnyeDwqKytztjU2NmrdunUaOHCgJKlv376KjY0NGlNdXa0dO3Y4Y3Jzc+X3+7V582ZnzPvvvy+/3++MOZH4+HglJSUF3QAAwLkppGuIevfurW3btmnBggXq1KmTDh06pHHjxumee+5Renr6aT9PQ0ODPv/8c+d+ZWWlKioqlJycrJ49e6qoqEizZ89Wdna2srOzNXv2bHXu3FkTJ06UJLndbk2aNEnTp09Xt27dlJycrBkzZqhPnz7Op84uueQSjRw5UpMnT9bChQslSXfccYfy8/P5hBkAAJAUQhAd+1TXwoUL9ac//emsfviHH34Y9BbbtGnTJEmFhYVasmSJ7r//fh0+fFh33323amtr1b9/f61atUqJiYnOY+bOnauYmBiNHz9ehw8f1pAhQ7RkyRJ16tTJGfPSSy/p3nvvdT6NNmbMmFa/+wgAANjHZc702xQlde/eXeXl5crOzm6LOUWluro6ud1u+f3+sL99duEDK8P6fO3hqzmjIj0FAB0Qf9+1D9b5/zvdf79Duobo5ptv1qJFi0KeHAAAQDQJ6RqixsZGPffccyorK1O/fv1a/P6ykpKSsEwOAACgPZxREH355Ze68MILtWPHDl1++eWSpM8++yxozKm+IwgAACDanFEQZWdnq7q6WmvXrpX0w6/q+Mtf/nLS7/MBAACIdmd0DdHx11+//fbbOnToUFgnBAAA0N5Cuqj6mBA+oAYAABB1ziiIXC5Xi2uEuGYIAAB0dGd0DZExRrfccovzC1yPHDmiu+66q8WnzJYvXx6+GQIAALSxMwqiwsLCoPu/+c1vwjoZAACASDijIFq8eHFbzQMAACBizuqiagAAgHMBQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArEcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALBeVAfRrFmz5HK5gm4ej8fZb4zRrFmz5PV6lZCQoEGDBumTTz4Jeo5AIKCpU6cqJSVFXbp00ZgxY1RVVdXeLwUAAESxqA4iSbr00ktVXV3t3LZv3+7se+yxx1RSUqL58+frgw8+kMfj0bBhw1RfX++MKSoq0ooVK7Rs2TJt2LBBDQ0Nys/PV1NTUyReDgAAiEIxkZ7AqcTExASdFTrGGKN58+bpoYce0rhx4yRJzz//vNLS0vTyyy/rzjvvlN/v16JFi/TCCy9o6NChkqQXX3xRGRkZWr16tUaMGNGurwUAAESnqD9DtGvXLnm9XmVlZemGG27Ql19+KUmqrKyUz+fT8OHDnbHx8fG66qqrVF5eLknasmWLjh49GjTG6/UqJyfHGdOaQCCgurq6oBsAADg3RXUQ9e/fX0uXLtU777yjZ599Vj6fTwMHDtSBAwfk8/kkSWlpaUGPSUtLc/b5fD7FxcWpa9eurY5pTXFxsdxut3PLyMgI4ysDAADRJKqDKC8vT9dff7369OmjoUOHauXKlZJ+eGvsGJfLFfQYY0yLbcc7nTEzZ86U3+93bnv37g3xVQAAgGgX1UF0vC5duqhPnz7atWuXc13R8Wd6ampqnLNGHo9HjY2Nqq2tbXVMa+Lj45WUlBR0AwAA56YOFUSBQECffvqp0tPTlZWVJY/Ho7KyMmd/Y2Oj1q1bp4EDB0qS+vbtq9jY2KAx1dXV2rFjhzMGAAAgqj9lNmPGDI0ePVo9e/ZUTU2NHnnkEdXV1amwsFAul0tFRUWaPXu2srOzlZ2drdmzZ6tz586aOHGiJMntdmvSpEmaPn26unXrpuTkZM2YMcN5Cw4AAECK8iCqqqrSjTfeqG+//Vbdu3fXgAEDtGnTJmVmZkqS7r//fh0+fFh33323amtr1b9/f61atUqJiYnOc8ydO1cxMTEaP368Dh8+rCFDhmjJkiXq1KlTpF4WAACIMlEdRMuWLTvpfpfLpVmzZmnWrFmtjjn//PP11FNP6amnngrz7AAAwLmiQ11DBAAA0BYIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWI8gAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1CCIAAGA9gggAAFiPIAIAANYjiAAAgPUIIgAAYD2CCAAAWC8m0hNAx3ThAysjPYWQfDVnVKSnAACIQpwhAgAA1iOIAACA9QgiAABgPYIIAABYjyACAADWI4gAAID1rAqip59+WllZWTr//PPVt29f/fOf/4z0lAAAQBSwJoheffVVFRUV6aGHHtLWrVv1q1/9Snl5edqzZ0+kpwYAACLMmi9mLCkp0aRJk3T77bdLkubNm6d33nlHCxYsUHFxcYRnBwCIVh31i2hxZqwIosbGRm3ZskUPPPBA0Pbhw4ervLz8hI8JBAIKBALOfb/fL0mqq6sL+/yaA9+F/TlxYm3xvx+A08ffd2hNW/39fOx5jTEnHWdFEH377bdqampSWlpa0Pa0tDT5fL4TPqa4uFh/+tOfWmzPyMhokzmifbjnRXoGAIATaeu/n+vr6+V2u1vdb0UQHeNyuYLuG2NabDtm5syZmjZtmnO/ublZ//3vf9WtW7dWHxMJdXV1ysjI0N69e5WUlBTp6ViBNY8M1j0yWPf2x5qHlzFG9fX18nq9Jx1nRRClpKSoU6dOLc4G1dTUtDhrdEx8fLzi4+ODtl1wwQVtNcWzlpSUxP9x2hlrHhmse2Sw7u2PNQ+fk50ZOsaKT5nFxcWpb9++KisrC9peVlamgQMHRmhWAAAgWlhxhkiSpk2bpoKCAvXr10+5ubn661//qj179uiuu+6K9NQAAECEWRNEEyZM0IEDB/TnP/9Z1dXVysnJ0VtvvaXMzMxIT+2sxMfH6+GHH27x9h7aDmseGax7ZLDu7Y81jwyXOdXn0AAAAM5xVlxDBAAAcDIEEQAAsB5BBAAArEcQAQAA6xFEEbZ+/XqNHj1aXq9XLpdLb7zxRtD+W265RS6XK+g2YMCAoDGBQEBTp05VSkqKunTpojFjxqiqqipoTG1trQoKCuR2u+V2u1VQUKCDBw+28auLXsXFxfrFL36hxMREpaam6rrrrtPOnTuDxhhjNGvWLHm9XiUkJGjQoEH65JNPgsaw9qfvdNac4z38FixYoJ/97GfOl/zl5ubq7bffdvZznLeNU607x3oUMoiot956yzz00EPm9ddfN5LMihUrgvYXFhaakSNHmurqaud24MCBoDF33XWX+fGPf2zKysrMRx99ZAYPHmwuu+wy8/333ztjRo4caXJyckx5ebkpLy83OTk5Jj8/vz1eYlQaMWKEWbx4sdmxY4epqKgwo0aNMj179jQNDQ3OmDlz5pjExETz+uuvm+3bt5sJEyaY9PR0U1dX54xh7U/f6aw5x3v4vfnmm2blypVm586dZufOnebBBx80sbGxZseOHcYYjvO2cqp151iPPgRRFGktiK699tpWH3Pw4EETGxtrli1b5mz7+uuvzXnnnWdKS0uNMcb8+9//NpLMpk2bnDEbN240ksx//vOfsL6GjqqmpsZIMuvWrTPGGNPc3Gw8Ho+ZM2eOM+bIkSPG7XabZ555xhjD2p+t49fcGI739tK1a1fz3HPPcZy3s2PrbgzHejTiLbMO4L333lNqaqp69eqlyZMnq6amxtm3ZcsWHT16VMOHD3e2eb1e5eTkqLy8XJK0ceNGud1u9e/f3xkzYMAAud1uZ4zt/H6/JCk5OVmSVFlZKZ/PF7Su8fHxuuqqq5w1Y+3PzvFrfgzHe9tpamrSsmXLdOjQIeXm5nKct5Pj1/0YjvXoYs03VXdUeXl5+vWvf63MzExVVlbqj3/8o66++mpt2bJF8fHx8vl8iouLU9euXYMel5aW5vwyW5/Pp9TU1BbPnZqa2uIX3trIGKNp06bpiiuuUE5OjiQ563L8L/9NS0vT7t27nTGsfWhOtOYSx3tb2b59u3Jzc3XkyBH96Ec/0ooVK9S7d2/nH02O87bR2rpLHOvRiCCKchMmTHD+nJOTo379+ikzM1MrV67UuHHjWn2cMUYul8u5/79/bm2MraZMmaJt27Zpw4YNLfYdvz6ns2as/am1tuYc723j4osvVkVFhQ4ePKjXX39dhYWFWrdunbOf47xttLbuvXv35liPQrxl1sGkp6crMzNTu3btkiR5PB41NjaqtrY2aFxNTY3zX30ej0fffPNNi+fav39/i/8ytM3UqVP15ptvau3aterRo4ez3ePxSFKL/8o6fl1Z+zPX2pqfCMd7eMTFxemiiy5Sv379VFxcrMsuu0xPPvkkx3kba23dT4RjPfIIog7mwIED2rt3r9LT0yVJffv2VWxsrMrKypwx1dXV2rFjhwYOHChJys3Nld/v1+bNm50x77//vvx+vzPGNsYYTZkyRcuXL9eaNWuUlZUVtD8rK0sejydoXRsbG7Vu3TpnzVj7M3OqNT8Rjve2YYxRIBDgOG9nx9b9RDjWo0B7X8WNYPX19Wbr1q1m69atRpIpKSkxW7duNbt37zb19fVm+vTppry83FRWVpq1a9ea3Nxc8+Mf/7jFR2J79OhhVq9ebT766CNz9dVXn/CjmT/72c/Mxo0bzcaNG02fPn2s/mjmb3/7W+N2u817770X9LHX7777zhkzZ84c43a7zfLly8327dvNjTfeeMKPI7P2p+dUa87x3jZmzpxp1q9fbyorK822bdvMgw8+aM477zyzatUqYwzHeVs52bpzrEcngijC1q5dayS1uBUWFprvvvvODB8+3HTv3t3Exsaanj17msLCQrNnz56g5zh8+LCZMmWKSU5ONgkJCSY/P7/FmAMHDpibbrrJJCYmmsTERHPTTTeZ2tradnyl0eVEay7JLF682BnT3NxsHn74YePxeEx8fLy58sorzfbt24Oeh7U/fadac473tnHbbbeZzMxMExcXZ7p3726GDBnixJAxHOdt5WTrzrEenVzGGNPeZ6UAAACiCdcQAQAA6xFEAADAegQRAACwHkEEAACsRxABAADrEUQAAMB6BBEAALAeQQQAAKxHEAEAAOsRRAAAwHoEEQAAsB5BBAAArPf/AGcxQQMfsRVjAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['odkud'].str.contains('Praha') & df['kam'].str.contains('Ljubljana')]['cena'].plot.hist()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}