116_vanocni_drazdany.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5816f3ee-02d3-45c2-a35a-f84398a3050e",
   "metadata": {},
   "source": [
    "[Dopravci na Vánoce napálili ceny. Vlak do Drážďan stojí tisíce](https://www.novinky.cz/clanek/ekonomika-dopravci-na-vanoce-napalili-ceny-vlak-do-drazdan-stoji-tisice-40501317), píší na Novinkách. Ono to ale je, jako obvykle, složitější."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "24bb8ec8-c9b3-41e6-89a5-f8b66f60c256",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "624b5c1c-d1c5-4b33-856d-462c31338b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_parquet('data/jizdenky.parquet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "67e499d9-e24b-44ea-b977-bcebe724df5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df['kam'].str.contains('Dresd',na=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "52044992-0404-4bfe-a3fe-e83e9d90d27c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_prvni = df.drop_duplicates(subset=['odjezd'], keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1089f5bd-32e7-4e47-9472-56720a188ed9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_posledni = df.drop_duplicates(subset=['odjezd'], keep='last')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b894b2a7-a373-47b1-aa86-f56205681b1e",
   "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>...</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>1311882</th>\n",
       "      <td>2024-12-20 06:53:46</td>\n",
       "      <td>ČD</td>\n",
       "      <td>Ústí n.L.hl.n.</td>\n",
       "      <td>Dresden Hbf</td>\n",
       "      <td>2025-03-19 19:43:00</td>\n",
       "      <td>89 days 12:49:14</td>\n",
       "      <td>89</td>\n",
       "      <td>2148.820556</td>\n",
       "      <td>310.0</td>\n",
       "      <td>vlak</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>st</td>\n",
       "      <td>0</td>\n",
       "      <td>[EC 458 Canopus]</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>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                oscrapovano prodejce           odkud          kam  \\\n",
       "1311882 2024-12-20 06:53:46       ČD  Ústí n.L.hl.n.  Dresden Hbf   \n",
       "\n",
       "                     odjezd         predstih  predstih_d   predstih_h   cena  \\\n",
       "1311882 2025-03-19 19:43:00 89 days 12:49:14          89  2148.820556  310.0   \n",
       "\n",
       "        prostredek  ...  cena_poznamka den  prestupy             vlaky  \\\n",
       "1311882       vlak  ...           None  st         0  [EC 458 Canopus]   \n",
       "\n",
       "        mistenka_zdarma nahradni_bus volna_mista_economy  \\\n",
       "1311882            None         None                 NaN   \n",
       "\n",
       "         volna_mista_economy_plus volna_mista_economy_business  \\\n",
       "1311882                       NaN                          NaN   \n",
       "\n",
       "        volna_mista_premium  \n",
       "1311882                 NaN  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_posledni.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b27224a6-5ecf-43a3-8b5d-c4f75a0ee775",
   "metadata": {},
   "source": [
    "## Teze: „Jízdné kolem svátků je totiž až více než dvojnásobně dražší než v jiné termíny.“"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08b4cae0-7cb1-4844-be60-d3c2062da229",
   "metadata": {},
   "source": [
    "### Ceny jízdenek na spoje zachycené při scrapování poprvé (= dlouho před odjezdem):"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3715bae-f3ea-49f7-99af-8617aeeec0af",
   "metadata": {},
   "source": [
    "Maximální:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e977f81-b042-4221-a9ec-412b11e1086b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='odjezd'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_prvni.groupby(pd.Grouper(key='odjezd', freq='D'))['cena'].max().plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25b2454d-940d-4eff-ab57-4d3c9fe89684",
   "metadata": {},
   "source": [
    "Mediánová:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8413d6a1-3974-43f4-8e36-3d4229f0c418",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='odjezd'>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_prvni[df_prvni['odjezd'] <= '2024-12-28'].groupby(pd.Grouper(key='odjezd', freq='D'))['cena'].median().plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dea78160-3cda-4ec6-a495-5155503bff66",
   "metadata": {},
   "source": [
    "### Ceny jízdenek na spoje zachycené při scrapování naposled (= krátce před odjezdem):"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c128e06-ce3f-498c-9e92-7bd9b5103569",
   "metadata": {},
   "source": [
    "Mediánová:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9e914472-4333-4b7a-ba5d-c6ccc969ec0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='odjezd'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_posledni[df_posledni['odjezd'] <= '2024-12-28'].groupby(pd.Grouper(key='odjezd', freq='D'))['cena'].median().plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "72726cb8-f5ca-406c-85a5-8d1c2084dd83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='odjezd'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_posledni[df_posledni['odjezd'] <= '2024-12-28'].groupby(pd.Grouper(key='odjezd', freq='D'))['cena'].max().plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1def4a12-1cea-4136-9015-1d9fd0463c2c",
   "metadata": {},
   "source": [
    "Ceny při nákupu 2-3 dny dopředu:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "51b95ca4-03c4-412d-9f22-27d19c07f997",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='odjezd'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['predstih_d'].isin([2,3])].groupby(pd.Grouper(key='odjezd', freq='D'))['cena'].median().plot.bar(figsize=(25,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3a60e9f6-2673-4adc-9619-5f3c34a3fe01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odjezd\n",
       "2024-12-22 18:58:00    1455.0\n",
       "2024-12-26 18:58:00    1455.0\n",
       "2024-12-29 18:58:00    1455.0\n",
       "2025-01-02 18:58:00    1455.0\n",
       "2025-03-02 18:58:00    1455.0\n",
       "2024-12-01 19:21:00    1393.0\n",
       "2024-12-22 19:16:00    1393.0\n",
       "2024-12-29 19:16:00    1393.0\n",
       "2025-01-02 19:16:00    1393.0\n",
       "2025-01-05 19:16:00    1393.0\n",
       "2025-03-23 18:58:00    1326.0\n",
       "2024-11-10 19:21:00    1264.0\n",
       "2024-11-24 19:21:00    1264.0\n",
       "2024-12-08 19:21:00    1264.0\n",
       "2024-12-15 19:16:00    1264.0\n",
       "2024-12-19 19:16:00    1264.0\n",
       "2024-12-26 19:16:00    1264.0\n",
       "2025-01-19 19:16:00    1264.0\n",
       "2025-02-09 19:16:00    1264.0\n",
       "2025-01-09 18:58:00    1197.0\n",
       "2025-01-26 18:58:00    1197.0\n",
       "2024-11-17 19:21:00    1135.0\n",
       "2024-12-05 19:21:00    1135.0\n",
       "2024-12-10 19:21:00    1135.0\n",
       "2024-12-12 19:21:00    1135.0\n",
       "2024-12-17 19:16:00    1135.0\n",
       "2025-01-12 18:58:00    1068.0\n",
       "2025-02-06 18:58:00    1068.0\n",
       "2024-11-14 19:21:00    1006.0\n",
       "2024-11-21 19:21:00    1006.0\n",
       "Name: cena, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_posledni.groupby('odjezd')['cena'].min().nlargest(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "166eef89-32ec-4c10-85f3-a897c30e9273",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odjezd\n",
       "2024-12-22 18:58:00    1455.0\n",
       "2024-12-26 18:58:00    1455.0\n",
       "2024-12-29 18:58:00    1455.0\n",
       "2025-01-02 18:58:00    1455.0\n",
       "2025-03-02 18:58:00    1455.0\n",
       "2024-12-01 19:21:00    1393.0\n",
       "2024-12-22 19:16:00    1393.0\n",
       "2024-12-29 19:16:00    1393.0\n",
       "2025-01-02 19:16:00    1393.0\n",
       "2025-01-05 19:16:00    1393.0\n",
       "2025-03-23 18:58:00    1326.0\n",
       "2024-11-10 19:21:00    1264.0\n",
       "2024-11-24 19:21:00    1264.0\n",
       "2024-12-08 19:21:00    1264.0\n",
       "2024-12-15 19:16:00    1264.0\n",
       "2024-12-19 19:16:00    1264.0\n",
       "2024-12-26 19:16:00    1264.0\n",
       "2025-01-19 19:16:00    1264.0\n",
       "2025-02-09 19:16:00    1264.0\n",
       "2025-01-09 18:58:00    1197.0\n",
       "2025-01-26 18:58:00    1197.0\n",
       "2024-11-17 19:21:00    1135.0\n",
       "2024-12-05 19:21:00    1135.0\n",
       "2024-12-10 19:21:00    1135.0\n",
       "2024-12-12 19:21:00    1135.0\n",
       "2024-12-17 19:16:00    1135.0\n",
       "2025-01-12 18:58:00    1068.0\n",
       "2025-02-06 18:58:00    1068.0\n",
       "2024-11-14 19:21:00    1006.0\n",
       "2024-11-21 19:21:00    1006.0\n",
       "Name: cena, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_posledni.groupby('odjezd')['cena'].max().nlargest(30)"
   ]
  }
 ],
 "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
}