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   "source": [
    "import pandas as pd"
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   "outputs": [],
   "source": [
    "df = pd.read_csv('https://data.hsbo.de/tankpreise_Bochum_2020.csv')"
   ]
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       "                     date                          station_uuid  diesel  \\\n",
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       "\n",
       "      e5    e10  dieselchange  e5change  e10change  \n",
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       "date             object\n",
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    "df['Datum'] = pd.to_datetime( df['date'], utc=True )"
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       "                     date                          station_uuid  diesel  \\\n",
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       "\n",
       "      e5    e10  dieselchange  e5change  e10change                     Datum  \n",
       "0  1.409  1.369             0         0          1 2020-01-01 01:03:03+00:00  \n",
       "1  1.429  1.409             1         1          1 2020-01-01 03:36:04+00:00  \n",
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       "e5                          float64\n",
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       "                     date                          station_uuid  diesel  \\\n",
       "0  2020-01-01 02:03:03+01  b7dc5a11-661a-419f-8d30-d9763b2897c7   1.289   \n",
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       "4  2020-01-01 04:36:04+01  cd8b8686-d085-1ed7-a59b-163f66bf05c4   1.319   \n",
       "\n",
       "      e5    e10  dieselchange  e5change  e10change                     Datum  \n",
       "0  1.409  1.369             0         0          1 2020-01-01 01:03:03+00:00  \n",
       "1  1.429  1.409             1         1          1 2020-01-01 03:36:04+00:00  \n",
       "2  1.439  1.399             1         1          1 2020-01-01 03:36:04+00:00  \n",
       "3  1.439  1.419             1         1          1 2020-01-01 03:36:04+00:00  \n",
       "4  1.439  1.419             1         1          1 2020-01-01 03:36:04+00:00  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "86226d4e-e832-4001-8ed8-169a322e8f5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:41:20.050049Z",
     "iopub.status.busy": "2025-06-04T08:41:20.049540Z",
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     "shell.execute_reply": "2025-06-04T08:41:20.167428Z",
     "shell.execute_reply.started": "2025-06-04T08:41:20.050025Z"
    }
   },
   "outputs": [],
   "source": [
    "df['Wochentag'] = df['Datum'].dt.day_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c9af8a01-22bd-4876-b5f1-11f95f4b362b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:41:23.460464Z",
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       "      <td>1</td>\n",
       "      <td>2020-01-01 03:36:04+00:00</td>\n",
       "      <td>Wednesday</td>\n",
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       "                     date                          station_uuid  diesel  \\\n",
       "0  2020-01-01 02:03:03+01  b7dc5a11-661a-419f-8d30-d9763b2897c7   1.289   \n",
       "1  2020-01-01 04:36:04+01  51d4b638-a095-1aa0-e100-80009459e03a   1.309   \n",
       "2  2020-01-01 04:36:04+01  51d4b671-a095-1aa0-e100-80009459e03a   1.319   \n",
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       "4  2020-01-01 04:36:04+01  cd8b8686-d085-1ed7-a59b-163f66bf05c4   1.319   \n",
       "\n",
       "      e5    e10  dieselchange  e5change  e10change                     Datum  \\\n",
       "0  1.409  1.369             0         0          1 2020-01-01 01:03:03+00:00   \n",
       "1  1.429  1.409             1         1          1 2020-01-01 03:36:04+00:00   \n",
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       "4  1.439  1.419             1         1          1 2020-01-01 03:36:04+00:00   \n",
       "\n",
       "   Wochentag  \n",
       "0  Wednesday  \n",
       "1  Wednesday  \n",
       "2  Wednesday  \n",
       "3  Wednesday  \n",
       "4  Wednesday  "
      ]
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     "execution_count": 16,
     "metadata": {},
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    "df.head()"
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   "cell_type": "code",
   "execution_count": 18,
   "id": "fd4bc75c-b68b-4a58-9381-5e28305ade18",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:42:34.120973Z",
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     "shell.execute_reply.started": "2025-06-04T08:42:34.120958Z"
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   },
   "outputs": [],
   "source": [
    "bo_preise = df[['Wochentag','diesel','e5','e10']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8ff95017-6370-40e2-a640-7e938809f4d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:44:37.136312Z",
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     "shell.execute_reply.started": "2025-06-04T08:44:37.136280Z"
    }
   },
   "outputs": [],
   "source": [
    "m = bo_preise.groupby('Wochentag').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "109d5e46-2938-403c-a53b-993aeb803f3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:44:40.845206Z",
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    {
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       "      <td>1.241315</td>\n",
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       "             diesel        e5       e10\n",
       "Wochentag                              \n",
       "Friday     1.095267  1.277176  1.241315\n",
       "Monday     1.097501  1.277678  1.241953\n",
       "Saturday   1.089713  1.269749  1.233975\n",
       "Sunday     1.080163  1.260583  1.224539\n",
       "Thursday   1.101587  1.280482  1.244768"
      ]
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     "execution_count": 28,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "diesel    Sunday\n",
       "e5        Sunday\n",
       "e10       Sunday\n",
       "dtype: object"
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   "cell_type": "code",
   "execution_count": 29,
   "id": "71433aba-7ff5-4bff-bb2b-07bc84669172",
   "metadata": {
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     "iopub.execute_input": "2025-06-04T08:48:09.743248Z",
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     "shell.execute_reply.started": "2025-06-04T08:48:09.743207Z"
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       "   Wochentag  diesel     e5    e10\n",
       "0  Wednesday   1.289  1.409  1.369\n",
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       "2  Wednesday   1.319  1.439  1.399\n",
       "3  Wednesday   1.319  1.439  1.419\n",
       "4  Wednesday   1.319  1.439  1.419"
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   "metadata": {
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     "shell.execute_reply.started": "2025-06-04T08:48:41.705163Z"
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   "source": [
    "preise = df[['Datum','diesel','e5','e10']]"
   ]
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       "                      Datum  diesel     e5    e10\n",
       "0 2020-01-01 01:03:03+00:00   1.289  1.409  1.369\n",
       "1 2020-01-01 03:36:04+00:00   1.309  1.429  1.409\n",
       "2 2020-01-01 03:36:04+00:00   1.319  1.439  1.399\n",
       "3 2020-01-01 03:36:04+00:00   1.319  1.439  1.419\n",
       "4 2020-01-01 03:36:04+00:00   1.319  1.439  1.419"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preise.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b672cd5a-8104-438d-aaa4-4916d3d5b41c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:49:45.750522Z",
     "iopub.status.busy": "2025-06-04T08:49:45.750161Z",
     "iopub.status.idle": "2025-06-04T08:49:45.862219Z",
     "shell.execute_reply": "2025-06-04T08:49:45.861414Z",
     "shell.execute_reply.started": "2025-06-04T08:49:45.750491Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_386/1812349999.py:1: 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",
      "  preise['Tag'] = preise['Datum'].dt.date\n"
     ]
    }
   ],
   "source": [
    "preise['Tag'] = preise['Datum'].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a6998d83-44da-488a-b940-60828ce767db",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:50:22.942042Z",
     "iopub.status.busy": "2025-06-04T08:50:22.941652Z",
     "iopub.status.idle": "2025-06-04T08:50:22.954858Z",
     "shell.execute_reply": "2025-06-04T08:50:22.954170Z",
     "shell.execute_reply.started": "2025-06-04T08:50:22.942027Z"
    }
   },
   "outputs": [],
   "source": [
    "preise_tag = preise[['Tag','diesel','e5','e10']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5b52072d-3328-4838-bdd5-006bfd28c739",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:51:16.036894Z",
     "iopub.status.busy": "2025-06-04T08:51:16.036461Z",
     "iopub.status.idle": "2025-06-04T08:51:16.112915Z",
     "shell.execute_reply": "2025-06-04T08:51:16.111955Z",
     "shell.execute_reply.started": "2025-06-04T08:51:16.036863Z"
    }
   },
   "outputs": [],
   "source": [
    "preise_nach_tag = preise_tag.groupby('Tag').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "099017bc-5759-4915-9327-7f466a701db2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:51:19.863153Z",
     "iopub.status.busy": "2025-06-04T08:51:19.862783Z",
     "iopub.status.idle": "2025-06-04T08:51:19.873726Z",
     "shell.execute_reply": "2025-06-04T08:51:19.873007Z",
     "shell.execute_reply.started": "2025-06-04T08:51:19.863123Z"
    }
   },
   "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>diesel</th>\n",
       "      <th>e5</th>\n",
       "      <th>e10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tag</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>1.333898</td>\n",
       "      <td>1.453996</td>\n",
       "      <td>1.432318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>1.324575</td>\n",
       "      <td>1.439539</td>\n",
       "      <td>1.420480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>1.314940</td>\n",
       "      <td>1.418185</td>\n",
       "      <td>1.402654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-04</th>\n",
       "      <td>1.315623</td>\n",
       "      <td>1.412857</td>\n",
       "      <td>1.397360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-05</th>\n",
       "      <td>1.321644</td>\n",
       "      <td>1.414316</td>\n",
       "      <td>1.399027</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              diesel        e5       e10\n",
       "Tag                                     \n",
       "2020-01-01  1.333898  1.453996  1.432318\n",
       "2020-01-02  1.324575  1.439539  1.420480\n",
       "2020-01-03  1.314940  1.418185  1.402654\n",
       "2020-01-04  1.315623  1.412857  1.397360\n",
       "2020-01-05  1.321644  1.414316  1.399027"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preise_nach_tag.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d7b8050d-c974-4d2d-89db-23f367052c19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:51:35.571721Z",
     "iopub.status.busy": "2025-06-04T08:51:35.571340Z",
     "iopub.status.idle": "2025-06-04T08:51:36.268921Z",
     "shell.execute_reply": "2025-06-04T08:51:36.268140Z",
     "shell.execute_reply.started": "2025-06-04T08:51:35.571690Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Tag'>"
      ]
     },
     "execution_count": 42,
     "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": [
    "preise_nach_tag.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "82f6c054-31af-41ab-8a40-e1a2f6c03c9e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:53:21.586958Z",
     "iopub.status.busy": "2025-06-04T08:53:21.586303Z",
     "iopub.status.idle": "2025-06-04T08:53:21.757344Z",
     "shell.execute_reply": "2025-06-04T08:53:21.756403Z",
     "shell.execute_reply.started": "2025-06-04T08:53:21.586917Z"
    }
   },
   "outputs": [],
   "source": [
    "tankstellen = pd.read_csv('https://data.hsbo.de/tankstellen.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f9af293b-6f08-4dc9-8c43-96573a56015e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:53:30.634746Z",
     "iopub.status.busy": "2025-06-04T08:53:30.634342Z",
     "iopub.status.idle": "2025-06-04T08:53:30.649330Z",
     "shell.execute_reply": "2025-06-04T08:53:30.648555Z",
     "shell.execute_reply.started": "2025-06-04T08:53:30.634714Z"
    }
   },
   "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>uuid</th>\n",
       "      <th>name</th>\n",
       "      <th>brand</th>\n",
       "      <th>street</th>\n",
       "      <th>house_number</th>\n",
       "      <th>post_code</th>\n",
       "      <th>city</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00060723-0001-4444-8888-acdc00000001</td>\n",
       "      <td>BAGeno Raiffeisen eG</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Künzelsauer Strasse</td>\n",
       "      <td>7</td>\n",
       "      <td>74653</td>\n",
       "      <td>Ingelfingen</td>\n",
       "      <td>49.296822</td>\n",
       "      <td>9.661385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>005056ba-7cb6-1ed2-bceb-5332ab168d12</td>\n",
       "      <td>famila Tankstelle</td>\n",
       "      <td>FAMILA</td>\n",
       "      <td>Pascalstrasse</td>\n",
       "      <td>9</td>\n",
       "      <td>25442</td>\n",
       "      <td>Quickborn</td>\n",
       "      <td>53.742150</td>\n",
       "      <td>9.941240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>005056ba-7cb6-1ed2-bceb-573c18314d16</td>\n",
       "      <td>star Tankstelle</td>\n",
       "      <td>STAR</td>\n",
       "      <td>Riehler Strasse</td>\n",
       "      <td>240</td>\n",
       "      <td>50735</td>\n",
       "      <td>Köln</td>\n",
       "      <td>50.961800</td>\n",
       "      <td>6.980070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>005056ba-7cb6-1ed2-bceb-662ba1a94d1f</td>\n",
       "      <td>star Tankstelle</td>\n",
       "      <td>STAR</td>\n",
       "      <td>BAB 10 / Seeberg Ost</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15345</td>\n",
       "      <td>Altlandsberg</td>\n",
       "      <td>52.550160</td>\n",
       "      <td>13.682120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>005056ba-7cb6-1ed2-bceb-6f7b23564d23</td>\n",
       "      <td>star Tankstelle</td>\n",
       "      <td>STAR</td>\n",
       "      <td>Duisburger Straße</td>\n",
       "      <td>130</td>\n",
       "      <td>47166</td>\n",
       "      <td>Duisburg</td>\n",
       "      <td>51.489790</td>\n",
       "      <td>6.783730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   uuid                  name   brand  \\\n",
       "0  00060723-0001-4444-8888-acdc00000001  BAGeno Raiffeisen eG     NaN   \n",
       "1  005056ba-7cb6-1ed2-bceb-5332ab168d12     famila Tankstelle  FAMILA   \n",
       "2  005056ba-7cb6-1ed2-bceb-573c18314d16       star Tankstelle    STAR   \n",
       "3  005056ba-7cb6-1ed2-bceb-662ba1a94d1f       star Tankstelle    STAR   \n",
       "4  005056ba-7cb6-1ed2-bceb-6f7b23564d23       star Tankstelle    STAR   \n",
       "\n",
       "                 street house_number post_code          city   latitude  \\\n",
       "0   Künzelsauer Strasse            7     74653  Ingelfingen   49.296822   \n",
       "1         Pascalstrasse            9     25442     Quickborn  53.742150   \n",
       "2       Riehler Strasse          240     50735          Köln  50.961800   \n",
       "3  BAB 10 / Seeberg Ost          NaN     15345  Altlandsberg  52.550160   \n",
       "4     Duisburger Straße          130     47166      Duisburg  51.489790   \n",
       "\n",
       "   longitude  \n",
       "0   9.661385  \n",
       "1   9.941240  \n",
       "2   6.980070  \n",
       "3  13.682120  \n",
       "4   6.783730  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tankstellen.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3543d7c4-75fc-4a46-a2f8-742e49011aa0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T08:59:52.689484Z",
     "iopub.status.busy": "2025-06-04T08:59:52.689133Z",
     "iopub.status.idle": "2025-06-04T08:59:52.810087Z",
     "shell.execute_reply": "2025-06-04T08:59:52.809415Z",
     "shell.execute_reply.started": "2025-06-04T08:59:52.689453Z"
    }
   },
   "outputs": [],
   "source": [
    "preise_mit_tankstellen = df.merge(tankstellen, left_on=\"station_uuid\", right_on='uuid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "c897d01a-9f85-4c32-894f-2645186076df",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T09:00:42.714130Z",
     "iopub.status.busy": "2025-06-04T09:00:42.713722Z",
     "iopub.status.idle": "2025-06-04T09:00:42.730492Z",
     "shell.execute_reply": "2025-06-04T09:00:42.729750Z",
     "shell.execute_reply.started": "2025-06-04T09:00:42.714098Z"
    }
   },
   "outputs": [],
   "source": [
    "plz_preise = preise_mit_tankstellen[['post_code','diesel','e5','e10']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c21591ef-f80c-489b-a1f7-b080a76df8aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T09:02:35.260897Z",
     "iopub.status.busy": "2025-06-04T09:02:35.260482Z",
     "iopub.status.idle": "2025-06-04T09:02:35.313960Z",
     "shell.execute_reply": "2025-06-04T09:02:35.313146Z",
     "shell.execute_reply.started": "2025-06-04T09:02:35.260863Z"
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   "outputs": [
    {
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       "      <th>diesel</th>\n",
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      "text/plain": [
       "           diesel     e5    e10\n",
       "post_code                      \n",
       "44787       0.919  1.069  1.039\n",
       "44789       0.919  1.069  1.039\n",
       "44791       0.919  1.069  1.039\n",
       "44793       0.939  1.069  1.039\n",
       "44795       0.929  1.079  1.049\n",
       "44797       0.929  1.079  1.049\n",
       "44799       0.949  1.079  1.049\n",
       "44803       0.919  1.069  1.039\n",
       "44805       0.949  1.099  1.069\n",
       "44807       0.939  1.079  1.049\n",
       "44809       0.929  1.069  1.039\n",
       "44866       0.928  1.068  1.048\n",
       "44867       0.919  1.069  1.039\n",
       "44869       0.909  1.059  0.000\n",
       "44879       0.919  1.069  1.039\n",
       "44892       0.919  1.069  0.949\n",
       "44894       0.929  1.089  1.059"
      ]
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     "execution_count": 58,
     "metadata": {},
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    }
   ],
   "source": [
    "plz_preise.groupby('post_code').min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5df83284-23e5-44bf-aa9a-c9a7aa17bb32",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T09:06:28.088763Z",
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     "shell.execute_reply.started": "2025-06-04T09:06:28.088725Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['SB', 'Supermarkt-Tankstelle am real,- Markt', 'JET', 'TinQ',\n",
       "       'Shell', 'ESSO', 'ARAL', 'Westfalen', 'TOTAL', 'Access', 'Markant',\n",
       "       'Classic Tankstelle', 'STAR', 'Freie Tankstelle', 'OIL!', 'HEM',\n",
       "       'GO', 'BFT Tankhof Stein'], dtype=object)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preise_mit_tankstellen['brand'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "386f6b31-fafb-4dd8-9773-0cf7bb6bdbfd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T09:11:15.508443Z",
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     "shell.execute_reply.started": "2025-06-04T09:11:15.508406Z"
    }
   },
   "outputs": [],
   "source": [
    "preise_nach_marke = preise_mit_tankstellen[['brand','diesel','e5','e10']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "fcf6dd30-3f32-40f6-b1b3-e91fa19b43f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-04T09:11:34.932352Z",
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     "shell.execute_reply.started": "2025-06-04T09:11:34.932314Z"
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>diesel</th>\n",
       "      <th>e5</th>\n",
       "      <th>e10</th>\n",
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       "    <tr>\n",
       "      <th>brand</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>ARAL</th>\n",
       "      <td>129184</td>\n",
       "      <td>129184</td>\n",
       "      <td>129184</td>\n",
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       "    <tr>\n",
       "      <th>Access</th>\n",
       "      <td>7565</td>\n",
       "      <td>7565</td>\n",
       "      <td>7565</td>\n",
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       "    <tr>\n",
       "      <th>BFT Tankhof Stein</th>\n",
       "      <td>7026</td>\n",
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       "      <th>ESSO</th>\n",
       "      <td>43861</td>\n",
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       "      <td>43861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freie Tankstelle</th>\n",
       "      <td>8352</td>\n",
       "      <td>8352</td>\n",
       "      <td>8352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GO</th>\n",
       "      <td>9106</td>\n",
       "      <td>9106</td>\n",
       "      <td>9106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HEM</th>\n",
       "      <td>19346</td>\n",
       "      <td>19346</td>\n",
       "      <td>19346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JET</th>\n",
       "      <td>24819</td>\n",
       "      <td>24819</td>\n",
       "      <td>24819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Markant</th>\n",
       "      <td>29503</td>\n",
       "      <td>29503</td>\n",
       "      <td>29503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OIL!</th>\n",
       "      <td>8306</td>\n",
       "      <td>8306</td>\n",
       "      <td>8306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SB</th>\n",
       "      <td>16470</td>\n",
       "      <td>16470</td>\n",
       "      <td>16470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STAR</th>\n",
       "      <td>43404</td>\n",
       "      <td>43404</td>\n",
       "      <td>43404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shell</th>\n",
       "      <td>35656</td>\n",
       "      <td>35656</td>\n",
       "      <td>35656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supermarkt-Tankstelle am real,- Markt</th>\n",
       "      <td>7690</td>\n",
       "      <td>7690</td>\n",
       "      <td>7690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOTAL</th>\n",
       "      <td>56989</td>\n",
       "      <td>56989</td>\n",
       "      <td>56989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TinQ</th>\n",
       "      <td>6364</td>\n",
       "      <td>6364</td>\n",
       "      <td>6364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westfalen</th>\n",
       "      <td>20947</td>\n",
       "      <td>20947</td>\n",
       "      <td>20947</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       diesel      e5     e10\n",
       "brand                                                        \n",
       "ARAL                                   129184  129184  129184\n",
       "Access                                   7565    7565    7565\n",
       "BFT Tankhof Stein                        7026    7026    7026\n",
       "Classic Tankstelle                      11890   11890   11890\n",
       "ESSO                                    43861   43861   43861\n",
       "Freie Tankstelle                         8352    8352    8352\n",
       "GO                                       9106    9106    9106\n",
       "HEM                                     19346   19346   19346\n",
       "JET                                     24819   24819   24819\n",
       "Markant                                 29503   29503   29503\n",
       "OIL!                                     8306    8306    8306\n",
       "SB                                      16470   16470   16470\n",
       "STAR                                    43404   43404   43404\n",
       "Shell                                   35656   35656   35656\n",
       "Supermarkt-Tankstelle am real,- Markt    7690    7690    7690\n",
       "TOTAL                                   56989   56989   56989\n",
       "TinQ                                     6364    6364    6364\n",
       "Westfalen                               20947   20947   20947"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preise_nach_marke.groupby('brand').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9c78204-7528-4059-92af-ec293bdc8b8e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa3ad69d-0c77-4830-98c1-dcc14936932d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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