project_preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "da573f0b-f6e7-4816-8872-d8a2b118f343",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4981f7ef-a2ec-41b6-8b8a-2d496019ad29",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 혼잡도"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1fa5d862-0115-45ff-bfba-9150405a2415",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 데이터 불러오기\n",
    "df_1 = pd.read_csv(\"data/서울교통공사_지하철혼잡도정보_20240630.csv\", encoding='cp949')\n",
    "df_2 = pd.read_csv(\"data/서울교통공사_지하철혼잡도정보_20240331.csv\", encoding='cp949')\n",
    "df_3 = pd.read_csv(\"data/서울교통공사_지하철혼잡도정보_20231231.csv\", encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "617eba7d-4ca5-4a14-a4a7-fd4ab71a2841",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 폰트 설정\n",
    "plt.rc('font', family='Malgun Gothic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "669ced23-89f6-4cb4-af78-8a8f3066d0cc",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>연번</th>\n",
       "      <th>요일구분</th>\n",
       "      <th>호선</th>\n",
       "      <th>역번호</th>\n",
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       "      <th>21시30분</th>\n",
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       "      <th>22시30분</th>\n",
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       "      <td>7.3</td>\n",
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       "      <td>도봉산</td>\n",
       "      <td>상선</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>431</td>\n",
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       "      <td>7</td>\n",
       "      <td>2712</td>\n",
       "      <td>도봉산</td>\n",
       "      <td>하선</td>\n",
       "      <td>12.8</td>\n",
       "      <td>11.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>24.5</td>\n",
       "      <td>...</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.1</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>상선</td>\n",
       "      <td>9.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>10.3</td>\n",
       "      <td>11.2</td>\n",
       "      <td>...</td>\n",
       "      <td>11.6</td>\n",
       "      <td>12.3</td>\n",
       "      <td>12.2</td>\n",
       "      <td>13.3</td>\n",
       "      <td>13.7</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.4</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.3</td>\n",
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       "<p>5 rows × 45 columns</p>\n",
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       "      연번 요일구분  호선   역번호  출발역 상하구분  5시30분  6시00분  6시30분  7시00분  ...  20시00분  \\\n",
       "427  428   평일   7  2711   장암   상선    0.0    0.0    0.0    0.0  ...     0.0   \n",
       "428  429   평일   7  2711   장암   하선    3.6    5.4    7.3   12.1  ...     0.7   \n",
       "429  430   평일   7  2712  도봉산   상선    0.9    0.9    0.8    0.6  ...     0.5   \n",
       "430  431   평일   7  2712  도봉산   하선   12.8   11.8   18.0   24.5  ...     4.6   \n",
       "431  432   평일   7  2713  수락산   상선    9.2    7.9   10.3   11.2  ...    11.6   \n",
       "\n",
       "     20시30분  21시00분  21시30분  22시00분  22시30분  23시00분  23시30분  00시00분  00시30분  \n",
       "427     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0  \n",
       "428     0.9     0.7     1.0     0.5     0.5     0.2     0.1     0.1     0.0  \n",
       "429     0.4     0.2     0.7     0.3     0.4     0.2     0.1     0.2     0.0  \n",
       "430     4.7     4.7     5.1     4.4     3.7     2.5     2.1     1.1     0.0  \n",
       "431    12.3    12.2    13.3    13.7    12.0     9.4     6.3     4.7     3.3  \n",
       "\n",
       "[5 rows x 45 columns]"
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     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_1 = df_1.fillna(0)\n",
    "df_1 = df_1[df_1['호선'] == 7]\n",
    "df_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5e50a00-e99f-48af-bdfe-05c980ad7546",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        출발역    \n",
       "5시30분   가산디지털단지    30.500000\n",
       "        강남구청       17.650000\n",
       "        건대입구       24.500000\n",
       "        고속터미널      16.533333\n",
       "        공릉         27.500000\n",
       "                     ...    \n",
       "00시30분  청담          2.433333\n",
       "        총신대입구       2.766667\n",
       "        태릉입구        2.250000\n",
       "        하계          3.116667\n",
       "        학동          3.166667\n",
       "Length: 1638, dtype: float64"
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     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_1 = df_1.groupby([\"출발역\"]).mean(numeric_only=True)\n",
    "df_1 = df_1.drop(columns=[\"연번\", \"호선\", \"역번호\"])\n",
    "df_1.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "90cd11ae-9b5f-4abf-b558-73abef2e6c83",
   "metadata": {},
   "outputs": [],
   "source": [
    "indexes = df_1.index\n",
    "columns = df_1.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cf733bfe-89ef-44c1-a670-0e38dad9e1eb",
   "metadata": {},
   "outputs": [
    {
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       "      <td>도봉산</td>\n",
       "      <td>상선</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
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       "      <td>24.7</td>\n",
       "      <td>...</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>432</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2713</td>\n",
       "      <td>수락산</td>\n",
       "      <td>상선</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>10.8</td>\n",
       "      <td>...</td>\n",
       "      <td>13.3</td>\n",
       "      <td>12.9</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.6</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.9</td>\n",
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       "  </tbody>\n",
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       "<p>5 rows × 45 columns</p>\n",
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      ],
      "text/plain": [
       "      연번 요일구분  호선   역번호  출발역 상하구분  5시30분  6시00분  6시30분  7시00분  ...  20시00분  \\\n",
       "427  428   평일   7  2711   장암   상선    0.0    0.0    0.0    0.0  ...     0.0   \n",
       "428  429   평일   7  2711   장암   하선    2.7    4.5    7.4   12.0  ...     0.6   \n",
       "429  430   평일   7  2712  도봉산   상선    0.4    0.8    0.5    0.7  ...     0.6   \n",
       "430  431   평일   7  2712  도봉산   하선   11.4   10.2   16.6   24.7  ...     4.3   \n",
       "431  432   평일   7  2713  수락산   상선    7.8    7.1    8.3   10.8  ...    13.3   \n",
       "\n",
       "     20시30분  21시00분  21시30분  22시00분  22시30분  23시00분  23시30분  00시00분  00시30분  \n",
       "427     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0  \n",
       "428     0.4     0.6     0.8     0.4     0.3     0.2     0.0     0.0     0.0  \n",
       "429     0.5     0.3     0.6     0.3     0.4     0.2     0.1     0.3     0.0  \n",
       "430     4.5     4.0     4.4     4.1     4.0     2.3     2.2     1.1     0.0  \n",
       "431    12.9    12.0    13.6    14.0    12.0     8.8     5.9     4.7     2.9  \n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2 = df_2.fillna(0)\n",
    "df_2 = df_2[df_2['호선'] == 7]\n",
    "df_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c6c4a29b-6342-4515-9cc2-5156825777ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        출발역    \n",
       "5시30분   가산디지털단지    28.583333\n",
       "        강남구청       16.266667\n",
       "        건대입구       22.816667\n",
       "        고속터미널      15.300000\n",
       "        공릉         25.583333\n",
       "                     ...    \n",
       "00시30분  청담          2.300000\n",
       "        총신대입구       2.533333\n",
       "        태릉입구        2.150000\n",
       "        하계          2.866667\n",
       "        학동          2.950000\n",
       "Length: 1638, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_2 = df_2.groupby([\"출발역\"]).mean(numeric_only=True)\n",
    "df_2 = df_2.drop(columns=[\"연번\", \"호선\", \"역번호\"])\n",
    "df_2.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fcba5046-22a3-43bb-a8b4-b4da46db563a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>연번</th>\n",
       "      <th>요일구분</th>\n",
       "      <th>호선</th>\n",
       "      <th>역번호</th>\n",
       "      <th>출발역</th>\n",
       "      <th>상하구분</th>\n",
       "      <th>5시30분</th>\n",
       "      <th>6시00분</th>\n",
       "      <th>6시30분</th>\n",
       "      <th>7시00분</th>\n",
       "      <th>...</th>\n",
       "      <th>20시30분</th>\n",
       "      <th>21시00분</th>\n",
       "      <th>21시30분</th>\n",
       "      <th>22시00분</th>\n",
       "      <th>22시30분</th>\n",
       "      <th>23시00분</th>\n",
       "      <th>23시30분</th>\n",
       "      <th>00시00분</th>\n",
       "      <th>00시30분</th>\n",
       "      <th>01시00분</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>433</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2711</td>\n",
       "      <td>장암</td>\n",
       "      <td>상선</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>434</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2711</td>\n",
       "      <td>장암</td>\n",
       "      <td>하선</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>10.9</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>435</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2712</td>\n",
       "      <td>도봉산</td>\n",
       "      <td>상선</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>436</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2712</td>\n",
       "      <td>도봉산</td>\n",
       "      <td>하선</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.8</td>\n",
       "      <td>16.9</td>\n",
       "      <td>23.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>437</td>\n",
       "      <td>평일</td>\n",
       "      <td>7</td>\n",
       "      <td>2713</td>\n",
       "      <td>수락산</td>\n",
       "      <td>상선</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>9.6</td>\n",
       "      <td>...</td>\n",
       "      <td>12.9</td>\n",
       "      <td>12.4</td>\n",
       "      <td>13.3</td>\n",
       "      <td>12.9</td>\n",
       "      <td>11.4</td>\n",
       "      <td>8.7</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      연번 요일구분  호선   역번호  출발역 상하구분  5시30분  6시00분  6시30분  7시00분  ...  20시30분  \\\n",
       "432  433   평일   7  2711   장암   상선    0.0    0.0    0.0    0.0  ...     0.0   \n",
       "433  434   평일   7  2711   장암   하선    3.1    4.8    7.6   10.9  ...     0.5   \n",
       "434  435   평일   7  2712  도봉산   상선    0.8    1.2    0.7    0.6  ...     0.4   \n",
       "435  436   평일   7  2712  도봉산   하선   11.0   10.8   16.9   23.5  ...     3.9   \n",
       "436  437   평일   7  2713  수락산   상선    8.1    7.5    8.3    9.6  ...    12.9   \n",
       "\n",
       "     21시00분  21시30분  22시00분  22시30분  23시00분  23시30분  00시00분  00시30분  01시00분  \n",
       "432     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0     0.0  \n",
       "433     0.4     0.5     0.6     0.3     0.2     0.1     0.0     0.0     0.0  \n",
       "434     0.3     0.6     0.2     0.5     0.1     0.1     0.3     0.0     0.0  \n",
       "435     4.1     3.9     4.7     3.6     2.0     1.8     1.2     0.0     0.0  \n",
       "436    12.4    13.3    12.9    11.4     8.7     6.3     4.5     2.5     0.0  \n",
       "\n",
       "[5 rows x 46 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_3 = df_3.fillna(0)\n",
    "df_3 = df_3[df_3['호선'] == 7]\n",
    "df_3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2c6ae77a-75ca-46ec-babd-47fd74eec95e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "        출발역    \n",
       "5시30분   가산디지털단지    29.000000\n",
       "        강남구청       15.733333\n",
       "        건대입구       22.316667\n",
       "        고속터미널      15.700000\n",
       "        공릉         25.533333\n",
       "                     ...    \n",
       "00시30분  청담          2.183333\n",
       "        총신대입구       2.383333\n",
       "        태릉입구        1.983333\n",
       "        하계          2.666667\n",
       "        학동          2.766667\n",
       "Length: 1638, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_3 = df_3.groupby([\"출발역\"]).mean(numeric_only=True)\n",
    "df_3 = df_3.drop(columns=[\"연번\", \"호선\", \"역번호\", \"01시00분\"])\n",
    "df_3.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d32ddd5c-6335-4d6e-865b-08ba23ad2424",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(42, 39) (42, 39) (42, 39)\n"
     ]
    }
   ],
   "source": [
    "print(df_1.shape, df_2.shape, df_3.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bed17e67-64f0-49b1-a7b3-fcf7c492e133",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[30.5       , 24.23333333, 24.33333333, ..., 15.25      ,\n",
       "          6.28333333,  3.33333333],\n",
       "        [17.65      , 29.85      , 24.        , ..., 19.96666667,\n",
       "          5.36666667,  3.21666667],\n",
       "        [24.5       , 32.2       , 28.53333333, ..., 27.86666667,\n",
       "          8.11666667,  1.8       ],\n",
       "        ...,\n",
       "        [21.7       , 22.51666667, 23.41666667, ..., 17.63333333,\n",
       "          4.26666667,  2.25      ],\n",
       "        [24.75      , 20.38333333, 20.5       , ..., 14.15      ,\n",
       "          8.55      ,  3.11666667],\n",
       "        [20.8       , 30.76666667, 24.16666667, ..., 19.46666667,\n",
       "          5.61666667,  3.16666667]],\n",
       "\n",
       "       [[28.58333333, 23.73333333, 23.53333333, ..., 17.26666667,\n",
       "          6.03333333,  3.1       ],\n",
       "        [16.26666667, 28.3       , 21.68333333, ..., 22.28333333,\n",
       "          5.31666667,  3.01666667],\n",
       "        [22.81666667, 30.73333333, 26.2       , ..., 31.03333333,\n",
       "          7.9       ,  1.71666667],\n",
       "        ...,\n",
       "        [19.85      , 20.41666667, 21.91666667, ..., 19.31666667,\n",
       "          4.31666667,  2.15      ],\n",
       "        [22.98333333, 18.31666667, 19.11666667, ..., 15.55      ,\n",
       "          9.53333333,  2.86666667],\n",
       "        [19.15      , 29.18333333, 21.91666667, ..., 21.45      ,\n",
       "          5.5       ,  2.95      ]],\n",
       "\n",
       "       [[29.        , 22.83333333, 23.28333333, ..., 15.26666667,\n",
       "          6.13333333,  2.86666667],\n",
       "        [15.73333333, 27.71666667, 21.95      , ..., 20.68333333,\n",
       "          5.1       ,  2.81666667],\n",
       "        [22.31666667, 30.86666667, 26.35      , ..., 28.61666667,\n",
       "          7.3       ,  1.68333333],\n",
       "        ...,\n",
       "        [19.91666667, 20.78333333, 21.58333333, ..., 17.5       ,\n",
       "          4.4       ,  1.98333333],\n",
       "        [22.58333333, 18.55      , 18.76666667, ..., 13.43333333,\n",
       "          8.21666667,  2.66666667],\n",
       "        [19.28333333, 29.01666667, 21.95      , ..., 20.21666667,\n",
       "          5.18333333,  2.76666667]]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sum = np.array([df_1, df_2, df_3])\n",
    "df_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fb79b51d-4c41-4170-ab9b-2f8194a8a116",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mean = np.mean(df_sum, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fcbd504d-595d-4618-9f32-e02c2920ed41",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mean = pd.DataFrame(df_mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7d426abf-acd4-4c1b-a36a-114667f3eb3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mean.index = indexes\n",
    "df_mean.columns = columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d89e78cc-87d9-43e6-87a4-6bb75099c1fb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>5시30분</th>\n",
       "      <th>6시00분</th>\n",
       "      <th>6시30분</th>\n",
       "      <th>7시00분</th>\n",
       "      <th>7시30분</th>\n",
       "      <th>8시00분</th>\n",
       "      <th>8시30분</th>\n",
       "      <th>9시00분</th>\n",
       "      <th>9시30분</th>\n",
       "      <th>10시00분</th>\n",
       "      <th>...</th>\n",
       "      <th>20시00분</th>\n",
       "      <th>20시30분</th>\n",
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       "      <th>22시00분</th>\n",
       "      <th>22시30분</th>\n",
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       "      <th>00시00분</th>\n",
       "      <th>00시30분</th>\n",
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       "    <tr>\n",
       "      <th>출발역</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>가산디지털단지</th>\n",
       "      <td>29.361111</td>\n",
       "      <td>23.600000</td>\n",
       "      <td>23.716667</td>\n",
       "      <td>27.355556</td>\n",
       "      <td>33.355556</td>\n",
       "      <td>37.916667</td>\n",
       "      <td>34.811111</td>\n",
       "      <td>33.622222</td>\n",
       "      <td>32.783333</td>\n",
       "      <td>32.088889</td>\n",
       "      <td>...</td>\n",
       "      <td>29.838889</td>\n",
       "      <td>29.916667</td>\n",
       "      <td>30.733333</td>\n",
       "      <td>29.477778</td>\n",
       "      <td>28.355556</td>\n",
       "      <td>27.744444</td>\n",
       "      <td>26.338889</td>\n",
       "      <td>15.927778</td>\n",
       "      <td>6.150000</td>\n",
       "      <td>3.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구청</th>\n",
       "      <td>16.550000</td>\n",
       "      <td>28.622222</td>\n",
       "      <td>22.544444</td>\n",
       "      <td>26.572222</td>\n",
       "      <td>34.011111</td>\n",
       "      <td>39.522222</td>\n",
       "      <td>37.072222</td>\n",
       "      <td>40.205556</td>\n",
       "      <td>40.355556</td>\n",
       "      <td>35.927778</td>\n",
       "      <td>...</td>\n",
       "      <td>37.822222</td>\n",
       "      <td>38.300000</td>\n",
       "      <td>38.855556</td>\n",
       "      <td>36.611111</td>\n",
       "      <td>38.983333</td>\n",
       "      <td>32.933333</td>\n",
       "      <td>26.872222</td>\n",
       "      <td>20.977778</td>\n",
       "      <td>5.261111</td>\n",
       "      <td>3.016667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>건대입구</th>\n",
       "      <td>23.211111</td>\n",
       "      <td>31.266667</td>\n",
       "      <td>27.027778</td>\n",
       "      <td>33.516667</td>\n",
       "      <td>40.655556</td>\n",
       "      <td>46.172222</td>\n",
       "      <td>44.477778</td>\n",
       "      <td>48.705556</td>\n",
       "      <td>44.777778</td>\n",
       "      <td>39.227778</td>\n",
       "      <td>...</td>\n",
       "      <td>44.427778</td>\n",
       "      <td>44.655556</td>\n",
       "      <td>46.483333</td>\n",
       "      <td>45.438889</td>\n",
       "      <td>48.672222</td>\n",
       "      <td>39.194444</td>\n",
       "      <td>34.877778</td>\n",
       "      <td>29.172222</td>\n",
       "      <td>7.772222</td>\n",
       "      <td>1.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고속터미널</th>\n",
       "      <td>15.844444</td>\n",
       "      <td>29.416667</td>\n",
       "      <td>20.144444</td>\n",
       "      <td>24.577778</td>\n",
       "      <td>32.488889</td>\n",
       "      <td>39.738889</td>\n",
       "      <td>35.711111</td>\n",
       "      <td>37.461111</td>\n",
       "      <td>37.783333</td>\n",
       "      <td>33.527778</td>\n",
       "      <td>...</td>\n",
       "      <td>39.288889</td>\n",
       "      <td>40.205556</td>\n",
       "      <td>39.522222</td>\n",
       "      <td>38.394444</td>\n",
       "      <td>38.516667</td>\n",
       "      <td>36.100000</td>\n",
       "      <td>27.322222</td>\n",
       "      <td>18.694444</td>\n",
       "      <td>3.338889</td>\n",
       "      <td>2.611111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공릉</th>\n",
       "      <td>26.205556</td>\n",
       "      <td>20.627778</td>\n",
       "      <td>21.255556</td>\n",
       "      <td>27.205556</td>\n",
       "      <td>31.633333</td>\n",
       "      <td>36.266667</td>\n",
       "      <td>35.594444</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>34.044444</td>\n",
       "      <td>30.005556</td>\n",
       "      <td>...</td>\n",
       "      <td>24.033333</td>\n",
       "      <td>25.877778</td>\n",
       "      <td>25.455556</td>\n",
       "      <td>24.588889</td>\n",
       "      <td>26.366667</td>\n",
       "      <td>22.705556</td>\n",
       "      <td>19.350000</td>\n",
       "      <td>15.916667</td>\n",
       "      <td>4.444444</td>\n",
       "      <td>3.022222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광명사거리</th>\n",
       "      <td>29.027778</td>\n",
       "      <td>20.405556</td>\n",
       "      <td>23.088889</td>\n",
       "      <td>29.455556</td>\n",
       "      <td>37.311111</td>\n",
       "      <td>39.522222</td>\n",
       "      <td>39.461111</td>\n",
       "      <td>36.111111</td>\n",
       "      <td>30.377778</td>\n",
       "      <td>29.688889</td>\n",
       "      <td>...</td>\n",
       "      <td>22.944444</td>\n",
       "      <td>25.261111</td>\n",
       "      <td>22.994444</td>\n",
       "      <td>22.744444</td>\n",
       "      <td>22.800000</td>\n",
       "      <td>21.805556</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>11.488889</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>2.344444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>군자</th>\n",
       "      <td>40.777778</td>\n",
       "      <td>34.016667</td>\n",
       "      <td>30.027778</td>\n",
       "      <td>40.061111</td>\n",
       "      <td>47.622222</td>\n",
       "      <td>55.100000</td>\n",
       "      <td>51.872222</td>\n",
       "      <td>57.405556</td>\n",
       "      <td>51.872222</td>\n",
       "      <td>45.650000</td>\n",
       "      <td>...</td>\n",
       "      <td>41.327778</td>\n",
       "      <td>41.655556</td>\n",
       "      <td>42.511111</td>\n",
       "      <td>41.377778</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>34.577778</td>\n",
       "      <td>30.350000</td>\n",
       "      <td>24.766667</td>\n",
       "      <td>7.472222</td>\n",
       "      <td>3.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>남구로</th>\n",
       "      <td>35.616667</td>\n",
       "      <td>25.816667</td>\n",
       "      <td>23.511111</td>\n",
       "      <td>28.394444</td>\n",
       "      <td>36.272222</td>\n",
       "      <td>41.722222</td>\n",
       "      <td>37.888889</td>\n",
       "      <td>35.633333</td>\n",
       "      <td>33.583333</td>\n",
       "      <td>32.433333</td>\n",
       "      <td>...</td>\n",
       "      <td>26.916667</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>27.561111</td>\n",
       "      <td>25.577778</td>\n",
       "      <td>25.261111</td>\n",
       "      <td>25.177778</td>\n",
       "      <td>23.466667</td>\n",
       "      <td>13.783333</td>\n",
       "      <td>3.194444</td>\n",
       "      <td>2.905556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>남성</th>\n",
       "      <td>33.883333</td>\n",
       "      <td>28.461111</td>\n",
       "      <td>23.422222</td>\n",
       "      <td>29.272222</td>\n",
       "      <td>36.411111</td>\n",
       "      <td>47.500000</td>\n",
       "      <td>39.672222</td>\n",
       "      <td>41.738889</td>\n",
       "      <td>37.100000</td>\n",
       "      <td>36.077778</td>\n",
       "      <td>...</td>\n",
       "      <td>28.727778</td>\n",
       "      <td>30.072222</td>\n",
       "      <td>30.594444</td>\n",
       "      <td>29.050000</td>\n",
       "      <td>29.750000</td>\n",
       "      <td>28.777778</td>\n",
       "      <td>23.688889</td>\n",
       "      <td>16.150000</td>\n",
       "      <td>4.072222</td>\n",
       "      <td>3.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>내방</th>\n",
       "      <td>17.277778</td>\n",
       "      <td>35.488889</td>\n",
       "      <td>24.866667</td>\n",
       "      <td>32.333333</td>\n",
       "      <td>37.966667</td>\n",
       "      <td>49.088889</td>\n",
       "      <td>40.638889</td>\n",
       "      <td>45.027778</td>\n",
       "      <td>42.561111</td>\n",
       "      <td>38.622222</td>\n",
       "      <td>...</td>\n",
       "      <td>35.094444</td>\n",
       "      <td>36.394444</td>\n",
       "      <td>37.300000</td>\n",
       "      <td>34.750000</td>\n",
       "      <td>35.777778</td>\n",
       "      <td>33.727778</td>\n",
       "      <td>25.644444</td>\n",
       "      <td>16.911111</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.144444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원</th>\n",
       "      <td>16.177778</td>\n",
       "      <td>13.994444</td>\n",
       "      <td>14.338889</td>\n",
       "      <td>17.488889</td>\n",
       "      <td>20.955556</td>\n",
       "      <td>23.650000</td>\n",
       "      <td>23.861111</td>\n",
       "      <td>24.527778</td>\n",
       "      <td>23.100000</td>\n",
       "      <td>19.927778</td>\n",
       "      <td>...</td>\n",
       "      <td>16.366667</td>\n",
       "      <td>17.227778</td>\n",
       "      <td>16.877778</td>\n",
       "      <td>15.877778</td>\n",
       "      <td>17.433333</td>\n",
       "      <td>14.116667</td>\n",
       "      <td>12.527778</td>\n",
       "      <td>11.272222</td>\n",
       "      <td>5.911111</td>\n",
       "      <td>2.188889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>논현</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>30.483333</td>\n",
       "      <td>22.094444</td>\n",
       "      <td>25.766667</td>\n",
       "      <td>32.438889</td>\n",
       "      <td>38.494444</td>\n",
       "      <td>35.538889</td>\n",
       "      <td>37.466667</td>\n",
       "      <td>38.500000</td>\n",
       "      <td>35.188889</td>\n",
       "      <td>...</td>\n",
       "      <td>36.288889</td>\n",
       "      <td>35.994444</td>\n",
       "      <td>36.427778</td>\n",
       "      <td>35.550000</td>\n",
       "      <td>36.950000</td>\n",
       "      <td>33.605556</td>\n",
       "      <td>26.744444</td>\n",
       "      <td>19.983333</td>\n",
       "      <td>4.905556</td>\n",
       "      <td>3.088889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대림</th>\n",
       "      <td>31.916667</td>\n",
       "      <td>23.294444</td>\n",
       "      <td>20.966667</td>\n",
       "      <td>24.455556</td>\n",
       "      <td>31.627778</td>\n",
       "      <td>37.900000</td>\n",
       "      <td>33.672222</td>\n",
       "      <td>31.061111</td>\n",
       "      <td>27.977778</td>\n",
       "      <td>27.877778</td>\n",
       "      <td>...</td>\n",
       "      <td>25.833333</td>\n",
       "      <td>26.977778</td>\n",
       "      <td>26.961111</td>\n",
       "      <td>26.411111</td>\n",
       "      <td>25.644444</td>\n",
       "      <td>26.394444</td>\n",
       "      <td>23.588889</td>\n",
       "      <td>14.200000</td>\n",
       "      <td>3.355556</td>\n",
       "      <td>3.216667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도봉산</th>\n",
       "      <td>4.822222</td>\n",
       "      <td>4.111111</td>\n",
       "      <td>4.805556</td>\n",
       "      <td>6.361111</td>\n",
       "      <td>6.938889</td>\n",
       "      <td>8.344444</td>\n",
       "      <td>8.927778</td>\n",
       "      <td>8.433333</td>\n",
       "      <td>8.016667</td>\n",
       "      <td>6.833333</td>\n",
       "      <td>...</td>\n",
       "      <td>2.727778</td>\n",
       "      <td>2.383333</td>\n",
       "      <td>2.194444</td>\n",
       "      <td>2.116667</td>\n",
       "      <td>2.016667</td>\n",
       "      <td>1.672222</td>\n",
       "      <td>1.427778</td>\n",
       "      <td>1.588889</td>\n",
       "      <td>0.233333</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마들</th>\n",
       "      <td>17.205556</td>\n",
       "      <td>17.961111</td>\n",
       "      <td>17.027778</td>\n",
       "      <td>20.477778</td>\n",
       "      <td>25.566667</td>\n",
       "      <td>28.838889</td>\n",
       "      <td>28.888889</td>\n",
       "      <td>30.300000</td>\n",
       "      <td>29.677778</td>\n",
       "      <td>25.355556</td>\n",
       "      <td>...</td>\n",
       "      <td>19.044444</td>\n",
       "      <td>19.166667</td>\n",
       "      <td>19.550000</td>\n",
       "      <td>18.588889</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>16.261111</td>\n",
       "      <td>13.377778</td>\n",
       "      <td>10.850000</td>\n",
       "      <td>4.561111</td>\n",
       "      <td>1.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>먹골</th>\n",
       "      <td>23.222222</td>\n",
       "      <td>18.922222</td>\n",
       "      <td>19.466667</td>\n",
       "      <td>23.994444</td>\n",
       "      <td>28.583333</td>\n",
       "      <td>32.766667</td>\n",
       "      <td>31.855556</td>\n",
       "      <td>33.255556</td>\n",
       "      <td>30.727778</td>\n",
       "      <td>26.838889</td>\n",
       "      <td>...</td>\n",
       "      <td>20.955556</td>\n",
       "      <td>22.605556</td>\n",
       "      <td>22.250000</td>\n",
       "      <td>21.222222</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>19.788889</td>\n",
       "      <td>16.400000</td>\n",
       "      <td>14.244444</td>\n",
       "      <td>5.950000</td>\n",
       "      <td>2.044444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>면목</th>\n",
       "      <td>33.683333</td>\n",
       "      <td>27.933333</td>\n",
       "      <td>26.955556</td>\n",
       "      <td>33.783333</td>\n",
       "      <td>41.083333</td>\n",
       "      <td>46.022222</td>\n",
       "      <td>43.566667</td>\n",
       "      <td>46.727778</td>\n",
       "      <td>40.827778</td>\n",
       "      <td>38.361111</td>\n",
       "      <td>...</td>\n",
       "      <td>30.400000</td>\n",
       "      <td>32.600000</td>\n",
       "      <td>31.766667</td>\n",
       "      <td>31.561111</td>\n",
       "      <td>31.383333</td>\n",
       "      <td>28.788889</td>\n",
       "      <td>23.888889</td>\n",
       "      <td>20.622222</td>\n",
       "      <td>10.488889</td>\n",
       "      <td>3.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>반포</th>\n",
       "      <td>21.877778</td>\n",
       "      <td>30.933333</td>\n",
       "      <td>23.905556</td>\n",
       "      <td>29.661111</td>\n",
       "      <td>37.566667</td>\n",
       "      <td>43.444444</td>\n",
       "      <td>40.072222</td>\n",
       "      <td>42.438889</td>\n",
       "      <td>41.127778</td>\n",
       "      <td>37.077778</td>\n",
       "      <td>...</td>\n",
       "      <td>33.105556</td>\n",
       "      <td>33.205556</td>\n",
       "      <td>33.477778</td>\n",
       "      <td>33.105556</td>\n",
       "      <td>33.172222</td>\n",
       "      <td>30.177778</td>\n",
       "      <td>24.394444</td>\n",
       "      <td>18.088889</td>\n",
       "      <td>5.988889</td>\n",
       "      <td>2.577778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보라매</th>\n",
       "      <td>22.244444</td>\n",
       "      <td>24.966667</td>\n",
       "      <td>19.594444</td>\n",
       "      <td>25.105556</td>\n",
       "      <td>31.577778</td>\n",
       "      <td>36.972222</td>\n",
       "      <td>33.155556</td>\n",
       "      <td>34.711111</td>\n",
       "      <td>31.616667</td>\n",
       "      <td>29.788889</td>\n",
       "      <td>...</td>\n",
       "      <td>25.983333</td>\n",
       "      <td>27.322222</td>\n",
       "      <td>27.083333</td>\n",
       "      <td>26.205556</td>\n",
       "      <td>25.111111</td>\n",
       "      <td>25.111111</td>\n",
       "      <td>20.583333</td>\n",
       "      <td>13.966667</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>2.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사가정</th>\n",
       "      <td>34.833333</td>\n",
       "      <td>29.033333</td>\n",
       "      <td>26.577778</td>\n",
       "      <td>33.800000</td>\n",
       "      <td>41.472222</td>\n",
       "      <td>46.177778</td>\n",
       "      <td>43.177778</td>\n",
       "      <td>46.211111</td>\n",
       "      <td>38.905556</td>\n",
       "      <td>37.855556</td>\n",
       "      <td>...</td>\n",
       "      <td>30.572222</td>\n",
       "      <td>32.566667</td>\n",
       "      <td>32.750000</td>\n",
       "      <td>32.466667</td>\n",
       "      <td>30.850000</td>\n",
       "      <td>29.605556</td>\n",
       "      <td>24.272222</td>\n",
       "      <td>18.561111</td>\n",
       "      <td>6.105556</td>\n",
       "      <td>3.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상도</th>\n",
       "      <td>33.405556</td>\n",
       "      <td>27.866667</td>\n",
       "      <td>24.150000</td>\n",
       "      <td>29.805556</td>\n",
       "      <td>38.444444</td>\n",
       "      <td>45.427778</td>\n",
       "      <td>38.677778</td>\n",
       "      <td>42.472222</td>\n",
       "      <td>36.661111</td>\n",
       "      <td>34.822222</td>\n",
       "      <td>...</td>\n",
       "      <td>28.338889</td>\n",
       "      <td>29.327778</td>\n",
       "      <td>30.122222</td>\n",
       "      <td>29.455556</td>\n",
       "      <td>28.911111</td>\n",
       "      <td>26.911111</td>\n",
       "      <td>22.472222</td>\n",
       "      <td>15.650000</td>\n",
       "      <td>4.188889</td>\n",
       "      <td>3.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상봉</th>\n",
       "      <td>31.627778</td>\n",
       "      <td>26.266667</td>\n",
       "      <td>25.811111</td>\n",
       "      <td>31.250000</td>\n",
       "      <td>38.122222</td>\n",
       "      <td>44.166667</td>\n",
       "      <td>40.072222</td>\n",
       "      <td>43.338889</td>\n",
       "      <td>37.966667</td>\n",
       "      <td>34.994444</td>\n",
       "      <td>...</td>\n",
       "      <td>27.972222</td>\n",
       "      <td>30.033333</td>\n",
       "      <td>29.977778</td>\n",
       "      <td>29.961111</td>\n",
       "      <td>29.138889</td>\n",
       "      <td>26.266667</td>\n",
       "      <td>22.305556</td>\n",
       "      <td>18.188889</td>\n",
       "      <td>8.016667</td>\n",
       "      <td>2.788889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>수락산</th>\n",
       "      <td>17.483333</td>\n",
       "      <td>14.661111</td>\n",
       "      <td>15.116667</td>\n",
       "      <td>18.650000</td>\n",
       "      <td>22.788889</td>\n",
       "      <td>25.288889</td>\n",
       "      <td>25.044444</td>\n",
       "      <td>25.388889</td>\n",
       "      <td>24.033333</td>\n",
       "      <td>21.316667</td>\n",
       "      <td>...</td>\n",
       "      <td>15.616667</td>\n",
       "      <td>15.555556</td>\n",
       "      <td>15.850000</td>\n",
       "      <td>15.605556</td>\n",
       "      <td>15.288889</td>\n",
       "      <td>13.311111</td>\n",
       "      <td>11.188889</td>\n",
       "      <td>10.022222</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.227778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>숭실대입구</th>\n",
       "      <td>24.977778</td>\n",
       "      <td>20.694444</td>\n",
       "      <td>18.194444</td>\n",
       "      <td>22.188889</td>\n",
       "      <td>27.883333</td>\n",
       "      <td>35.177778</td>\n",
       "      <td>29.383333</td>\n",
       "      <td>30.805556</td>\n",
       "      <td>27.711111</td>\n",
       "      <td>26.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>20.944444</td>\n",
       "      <td>21.172222</td>\n",
       "      <td>22.222222</td>\n",
       "      <td>21.261111</td>\n",
       "      <td>21.300000</td>\n",
       "      <td>19.922222</td>\n",
       "      <td>16.755556</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>2.622222</td>\n",
       "      <td>2.255556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신대방삼거리</th>\n",
       "      <td>28.850000</td>\n",
       "      <td>24.277778</td>\n",
       "      <td>21.011111</td>\n",
       "      <td>26.488889</td>\n",
       "      <td>33.216667</td>\n",
       "      <td>41.527778</td>\n",
       "      <td>35.061111</td>\n",
       "      <td>36.350000</td>\n",
       "      <td>31.466667</td>\n",
       "      <td>29.605556</td>\n",
       "      <td>...</td>\n",
       "      <td>23.827778</td>\n",
       "      <td>25.394444</td>\n",
       "      <td>25.788889</td>\n",
       "      <td>25.583333</td>\n",
       "      <td>23.788889</td>\n",
       "      <td>23.894444</td>\n",
       "      <td>20.644444</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>3.466667</td>\n",
       "      <td>2.455556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신풍</th>\n",
       "      <td>24.966667</td>\n",
       "      <td>22.838889</td>\n",
       "      <td>19.572222</td>\n",
       "      <td>24.888889</td>\n",
       "      <td>31.722222</td>\n",
       "      <td>38.083333</td>\n",
       "      <td>33.050000</td>\n",
       "      <td>33.088889</td>\n",
       "      <td>28.155556</td>\n",
       "      <td>27.416667</td>\n",
       "      <td>...</td>\n",
       "      <td>21.883333</td>\n",
       "      <td>23.888889</td>\n",
       "      <td>23.450000</td>\n",
       "      <td>22.666667</td>\n",
       "      <td>21.322222</td>\n",
       "      <td>22.072222</td>\n",
       "      <td>18.977778</td>\n",
       "      <td>12.077778</td>\n",
       "      <td>3.166667</td>\n",
       "      <td>1.966667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어린이대공원</th>\n",
       "      <td>37.538889</td>\n",
       "      <td>31.633333</td>\n",
       "      <td>27.672222</td>\n",
       "      <td>33.600000</td>\n",
       "      <td>40.827778</td>\n",
       "      <td>48.044444</td>\n",
       "      <td>44.805556</td>\n",
       "      <td>48.055556</td>\n",
       "      <td>43.188889</td>\n",
       "      <td>38.355556</td>\n",
       "      <td>...</td>\n",
       "      <td>36.183333</td>\n",
       "      <td>36.327778</td>\n",
       "      <td>37.161111</td>\n",
       "      <td>36.727778</td>\n",
       "      <td>36.738889</td>\n",
       "      <td>32.294444</td>\n",
       "      <td>28.322222</td>\n",
       "      <td>21.538889</td>\n",
       "      <td>6.461111</td>\n",
       "      <td>2.861111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>온수</th>\n",
       "      <td>24.283333</td>\n",
       "      <td>22.861111</td>\n",
       "      <td>23.155556</td>\n",
       "      <td>25.750000</td>\n",
       "      <td>34.833333</td>\n",
       "      <td>41.994444</td>\n",
       "      <td>37.372222</td>\n",
       "      <td>36.072222</td>\n",
       "      <td>35.872222</td>\n",
       "      <td>30.505556</td>\n",
       "      <td>...</td>\n",
       "      <td>27.138889</td>\n",
       "      <td>27.861111</td>\n",
       "      <td>29.861111</td>\n",
       "      <td>25.800000</td>\n",
       "      <td>29.133333</td>\n",
       "      <td>24.855556</td>\n",
       "      <td>24.355556</td>\n",
       "      <td>15.494444</td>\n",
       "      <td>5.244444</td>\n",
       "      <td>2.011111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용마산</th>\n",
       "      <td>31.844444</td>\n",
       "      <td>28.105556</td>\n",
       "      <td>27.355556</td>\n",
       "      <td>33.300000</td>\n",
       "      <td>40.411111</td>\n",
       "      <td>47.094444</td>\n",
       "      <td>43.622222</td>\n",
       "      <td>44.494444</td>\n",
       "      <td>39.777778</td>\n",
       "      <td>37.161111</td>\n",
       "      <td>...</td>\n",
       "      <td>31.744444</td>\n",
       "      <td>32.188889</td>\n",
       "      <td>33.572222</td>\n",
       "      <td>31.361111</td>\n",
       "      <td>32.655556</td>\n",
       "      <td>29.100000</td>\n",
       "      <td>24.983333</td>\n",
       "      <td>19.705556</td>\n",
       "      <td>6.416667</td>\n",
       "      <td>3.144444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자양(뚝섬한강공원)</th>\n",
       "      <td>29.072222</td>\n",
       "      <td>32.094444</td>\n",
       "      <td>27.994444</td>\n",
       "      <td>34.361111</td>\n",
       "      <td>41.922222</td>\n",
       "      <td>48.350000</td>\n",
       "      <td>46.683333</td>\n",
       "      <td>50.988889</td>\n",
       "      <td>46.627778</td>\n",
       "      <td>41.294444</td>\n",
       "      <td>...</td>\n",
       "      <td>38.050000</td>\n",
       "      <td>37.688889</td>\n",
       "      <td>39.277778</td>\n",
       "      <td>37.372222</td>\n",
       "      <td>39.733333</td>\n",
       "      <td>32.727778</td>\n",
       "      <td>27.588889</td>\n",
       "      <td>20.955556</td>\n",
       "      <td>6.594444</td>\n",
       "      <td>2.544444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>장승배기</th>\n",
       "      <td>29.638889</td>\n",
       "      <td>23.927778</td>\n",
       "      <td>20.094444</td>\n",
       "      <td>25.772222</td>\n",
       "      <td>32.938889</td>\n",
       "      <td>41.411111</td>\n",
       "      <td>33.172222</td>\n",
       "      <td>36.066667</td>\n",
       "      <td>31.283333</td>\n",
       "      <td>29.527778</td>\n",
       "      <td>...</td>\n",
       "      <td>23.694444</td>\n",
       "      <td>25.633333</td>\n",
       "      <td>26.027778</td>\n",
       "      <td>26.066667</td>\n",
       "      <td>23.766667</td>\n",
       "      <td>23.816667</td>\n",
       "      <td>21.138889</td>\n",
       "      <td>12.966667</td>\n",
       "      <td>2.550000</td>\n",
       "      <td>2.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>장암</th>\n",
       "      <td>0.938889</td>\n",
       "      <td>1.083333</td>\n",
       "      <td>1.577778</td>\n",
       "      <td>2.361111</td>\n",
       "      <td>3.688889</td>\n",
       "      <td>2.455556</td>\n",
       "      <td>1.694444</td>\n",
       "      <td>1.477778</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>0.822222</td>\n",
       "      <td>...</td>\n",
       "      <td>0.527778</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.394444</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>0.188889</td>\n",
       "      <td>0.161111</td>\n",
       "      <td>0.105556</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.005556</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중계</th>\n",
       "      <td>19.738889</td>\n",
       "      <td>17.216667</td>\n",
       "      <td>17.888889</td>\n",
       "      <td>21.794444</td>\n",
       "      <td>26.394444</td>\n",
       "      <td>30.100000</td>\n",
       "      <td>30.222222</td>\n",
       "      <td>30.938889</td>\n",
       "      <td>29.350000</td>\n",
       "      <td>25.072222</td>\n",
       "      <td>...</td>\n",
       "      <td>19.033333</td>\n",
       "      <td>19.911111</td>\n",
       "      <td>19.788889</td>\n",
       "      <td>19.138889</td>\n",
       "      <td>19.850000</td>\n",
       "      <td>16.533333</td>\n",
       "      <td>14.366667</td>\n",
       "      <td>12.705556</td>\n",
       "      <td>7.277778</td>\n",
       "      <td>2.427778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중곡</th>\n",
       "      <td>41.972222</td>\n",
       "      <td>34.488889</td>\n",
       "      <td>32.094444</td>\n",
       "      <td>41.038889</td>\n",
       "      <td>47.533333</td>\n",
       "      <td>54.361111</td>\n",
       "      <td>50.572222</td>\n",
       "      <td>56.005556</td>\n",
       "      <td>49.077778</td>\n",
       "      <td>44.955556</td>\n",
       "      <td>...</td>\n",
       "      <td>39.294444</td>\n",
       "      <td>39.727778</td>\n",
       "      <td>40.172222</td>\n",
       "      <td>39.083333</td>\n",
       "      <td>39.400000</td>\n",
       "      <td>33.761111</td>\n",
       "      <td>28.716667</td>\n",
       "      <td>23.622222</td>\n",
       "      <td>7.222222</td>\n",
       "      <td>3.116667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중화</th>\n",
       "      <td>27.288889</td>\n",
       "      <td>24.411111</td>\n",
       "      <td>23.783333</td>\n",
       "      <td>29.755556</td>\n",
       "      <td>35.461111</td>\n",
       "      <td>41.233333</td>\n",
       "      <td>39.016667</td>\n",
       "      <td>41.683333</td>\n",
       "      <td>37.072222</td>\n",
       "      <td>33.188889</td>\n",
       "      <td>...</td>\n",
       "      <td>27.638889</td>\n",
       "      <td>29.133333</td>\n",
       "      <td>29.238889</td>\n",
       "      <td>28.433333</td>\n",
       "      <td>29.055556</td>\n",
       "      <td>25.572222</td>\n",
       "      <td>21.288889</td>\n",
       "      <td>18.755556</td>\n",
       "      <td>8.022222</td>\n",
       "      <td>2.611111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>천왕</th>\n",
       "      <td>24.544444</td>\n",
       "      <td>18.372222</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>25.616667</td>\n",
       "      <td>33.127778</td>\n",
       "      <td>37.472222</td>\n",
       "      <td>35.805556</td>\n",
       "      <td>32.661111</td>\n",
       "      <td>27.305556</td>\n",
       "      <td>26.850000</td>\n",
       "      <td>...</td>\n",
       "      <td>21.177778</td>\n",
       "      <td>22.844444</td>\n",
       "      <td>20.772222</td>\n",
       "      <td>19.922222</td>\n",
       "      <td>21.611111</td>\n",
       "      <td>19.783333</td>\n",
       "      <td>17.577778</td>\n",
       "      <td>10.505556</td>\n",
       "      <td>3.188889</td>\n",
       "      <td>1.161111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철산</th>\n",
       "      <td>31.716667</td>\n",
       "      <td>23.661111</td>\n",
       "      <td>25.677778</td>\n",
       "      <td>32.305556</td>\n",
       "      <td>41.294444</td>\n",
       "      <td>44.816667</td>\n",
       "      <td>42.216667</td>\n",
       "      <td>39.411111</td>\n",
       "      <td>36.188889</td>\n",
       "      <td>31.838889</td>\n",
       "      <td>...</td>\n",
       "      <td>25.611111</td>\n",
       "      <td>27.094444</td>\n",
       "      <td>27.177778</td>\n",
       "      <td>25.650000</td>\n",
       "      <td>25.194444</td>\n",
       "      <td>24.372222</td>\n",
       "      <td>22.661111</td>\n",
       "      <td>13.050000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>2.577778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>청담</th>\n",
       "      <td>15.338889</td>\n",
       "      <td>29.033333</td>\n",
       "      <td>24.772222</td>\n",
       "      <td>30.100000</td>\n",
       "      <td>36.811111</td>\n",
       "      <td>42.355556</td>\n",
       "      <td>40.050000</td>\n",
       "      <td>44.844444</td>\n",
       "      <td>44.088889</td>\n",
       "      <td>38.294444</td>\n",
       "      <td>...</td>\n",
       "      <td>37.266667</td>\n",
       "      <td>37.066667</td>\n",
       "      <td>38.088889</td>\n",
       "      <td>36.316667</td>\n",
       "      <td>38.161111</td>\n",
       "      <td>32.883333</td>\n",
       "      <td>26.533333</td>\n",
       "      <td>20.572222</td>\n",
       "      <td>4.222222</td>\n",
       "      <td>2.305556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>총신대입구</th>\n",
       "      <td>29.972222</td>\n",
       "      <td>32.127778</td>\n",
       "      <td>23.905556</td>\n",
       "      <td>30.838889</td>\n",
       "      <td>36.988889</td>\n",
       "      <td>48.688889</td>\n",
       "      <td>41.538889</td>\n",
       "      <td>43.750000</td>\n",
       "      <td>40.027778</td>\n",
       "      <td>37.016667</td>\n",
       "      <td>...</td>\n",
       "      <td>32.361111</td>\n",
       "      <td>33.800000</td>\n",
       "      <td>34.483333</td>\n",
       "      <td>32.683333</td>\n",
       "      <td>33.116667</td>\n",
       "      <td>33.494444</td>\n",
       "      <td>26.844444</td>\n",
       "      <td>19.838889</td>\n",
       "      <td>4.588889</td>\n",
       "      <td>2.561111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>태릉입구</th>\n",
       "      <td>20.488889</td>\n",
       "      <td>21.238889</td>\n",
       "      <td>22.305556</td>\n",
       "      <td>27.516667</td>\n",
       "      <td>32.433333</td>\n",
       "      <td>36.700000</td>\n",
       "      <td>36.133333</td>\n",
       "      <td>37.338889</td>\n",
       "      <td>33.922222</td>\n",
       "      <td>30.538889</td>\n",
       "      <td>...</td>\n",
       "      <td>25.711111</td>\n",
       "      <td>27.761111</td>\n",
       "      <td>26.800000</td>\n",
       "      <td>26.461111</td>\n",
       "      <td>28.033333</td>\n",
       "      <td>24.616667</td>\n",
       "      <td>21.022222</td>\n",
       "      <td>18.150000</td>\n",
       "      <td>4.327778</td>\n",
       "      <td>2.127778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>하계</th>\n",
       "      <td>23.438889</td>\n",
       "      <td>19.083333</td>\n",
       "      <td>19.461111</td>\n",
       "      <td>25.244444</td>\n",
       "      <td>29.772222</td>\n",
       "      <td>34.138889</td>\n",
       "      <td>34.272222</td>\n",
       "      <td>34.255556</td>\n",
       "      <td>32.077778</td>\n",
       "      <td>27.566667</td>\n",
       "      <td>...</td>\n",
       "      <td>21.672222</td>\n",
       "      <td>22.883333</td>\n",
       "      <td>22.705556</td>\n",
       "      <td>21.333333</td>\n",
       "      <td>22.950000</td>\n",
       "      <td>19.472222</td>\n",
       "      <td>16.294444</td>\n",
       "      <td>14.377778</td>\n",
       "      <td>8.766667</td>\n",
       "      <td>2.883333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>학동</th>\n",
       "      <td>19.744444</td>\n",
       "      <td>29.655556</td>\n",
       "      <td>22.677778</td>\n",
       "      <td>26.561111</td>\n",
       "      <td>33.911111</td>\n",
       "      <td>39.550000</td>\n",
       "      <td>36.477778</td>\n",
       "      <td>40.577778</td>\n",
       "      <td>41.194444</td>\n",
       "      <td>36.288889</td>\n",
       "      <td>...</td>\n",
       "      <td>37.722222</td>\n",
       "      <td>36.616667</td>\n",
       "      <td>36.866667</td>\n",
       "      <td>35.494444</td>\n",
       "      <td>37.155556</td>\n",
       "      <td>32.827778</td>\n",
       "      <td>26.405556</td>\n",
       "      <td>20.377778</td>\n",
       "      <td>5.433333</td>\n",
       "      <td>2.961111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                5시30분      6시00분      6시30분      7시00분      7시30분      8시00분  \\\n",
       "출발역                                                                            \n",
       "가산디지털단지     29.361111  23.600000  23.716667  27.355556  33.355556  37.916667   \n",
       "강남구청        16.550000  28.622222  22.544444  26.572222  34.011111  39.522222   \n",
       "건대입구        23.211111  31.266667  27.027778  33.516667  40.655556  46.172222   \n",
       "고속터미널       15.844444  29.416667  20.144444  24.577778  32.488889  39.738889   \n",
       "공릉          26.205556  20.627778  21.255556  27.205556  31.633333  36.266667   \n",
       "광명사거리       29.027778  20.405556  23.088889  29.455556  37.311111  39.522222   \n",
       "군자          40.777778  34.016667  30.027778  40.061111  47.622222  55.100000   \n",
       "남구로         35.616667  25.816667  23.511111  28.394444  36.272222  41.722222   \n",
       "남성          33.883333  28.461111  23.422222  29.272222  36.411111  47.500000   \n",
       "내방          17.277778  35.488889  24.866667  32.333333  37.966667  49.088889   \n",
       "노원          16.177778  13.994444  14.338889  17.488889  20.955556  23.650000   \n",
       "논현          15.000000  30.483333  22.094444  25.766667  32.438889  38.494444   \n",
       "대림          31.916667  23.294444  20.966667  24.455556  31.627778  37.900000   \n",
       "도봉산          4.822222   4.111111   4.805556   6.361111   6.938889   8.344444   \n",
       "마들          17.205556  17.961111  17.027778  20.477778  25.566667  28.838889   \n",
       "먹골          23.222222  18.922222  19.466667  23.994444  28.583333  32.766667   \n",
       "면목          33.683333  27.933333  26.955556  33.783333  41.083333  46.022222   \n",
       "반포          21.877778  30.933333  23.905556  29.661111  37.566667  43.444444   \n",
       "보라매         22.244444  24.966667  19.594444  25.105556  31.577778  36.972222   \n",
       "사가정         34.833333  29.033333  26.577778  33.800000  41.472222  46.177778   \n",
       "상도          33.405556  27.866667  24.150000  29.805556  38.444444  45.427778   \n",
       "상봉          31.627778  26.266667  25.811111  31.250000  38.122222  44.166667   \n",
       "수락산         17.483333  14.661111  15.116667  18.650000  22.788889  25.288889   \n",
       "숭실대입구       24.977778  20.694444  18.194444  22.188889  27.883333  35.177778   \n",
       "신대방삼거리      28.850000  24.277778  21.011111  26.488889  33.216667  41.527778   \n",
       "신풍          24.966667  22.838889  19.572222  24.888889  31.722222  38.083333   \n",
       "어린이대공원      37.538889  31.633333  27.672222  33.600000  40.827778  48.044444   \n",
       "온수          24.283333  22.861111  23.155556  25.750000  34.833333  41.994444   \n",
       "용마산         31.844444  28.105556  27.355556  33.300000  40.411111  47.094444   \n",
       "자양(뚝섬한강공원)  29.072222  32.094444  27.994444  34.361111  41.922222  48.350000   \n",
       "장승배기        29.638889  23.927778  20.094444  25.772222  32.938889  41.411111   \n",
       "장암           0.938889   1.083333   1.577778   2.361111   3.688889   2.455556   \n",
       "중계          19.738889  17.216667  17.888889  21.794444  26.394444  30.100000   \n",
       "중곡          41.972222  34.488889  32.094444  41.038889  47.533333  54.361111   \n",
       "중화          27.288889  24.411111  23.783333  29.755556  35.461111  41.233333   \n",
       "천왕          24.544444  18.372222  23.000000  25.616667  33.127778  37.472222   \n",
       "철산          31.716667  23.661111  25.677778  32.305556  41.294444  44.816667   \n",
       "청담          15.338889  29.033333  24.772222  30.100000  36.811111  42.355556   \n",
       "총신대입구       29.972222  32.127778  23.905556  30.838889  36.988889  48.688889   \n",
       "태릉입구        20.488889  21.238889  22.305556  27.516667  32.433333  36.700000   \n",
       "하계          23.438889  19.083333  19.461111  25.244444  29.772222  34.138889   \n",
       "학동          19.744444  29.655556  22.677778  26.561111  33.911111  39.550000   \n",
       "\n",
       "                8시30분      9시00분      9시30분     10시00분  ...     20시00분  \\\n",
       "출발역                                                     ...              \n",
       "가산디지털단지     34.811111  33.622222  32.783333  32.088889  ...  29.838889   \n",
       "강남구청        37.072222  40.205556  40.355556  35.927778  ...  37.822222   \n",
       "건대입구        44.477778  48.705556  44.777778  39.227778  ...  44.427778   \n",
       "고속터미널       35.711111  37.461111  37.783333  33.527778  ...  39.288889   \n",
       "공릉          35.594444  36.600000  34.044444  30.005556  ...  24.033333   \n",
       "광명사거리       39.461111  36.111111  30.377778  29.688889  ...  22.944444   \n",
       "군자          51.872222  57.405556  51.872222  45.650000  ...  41.327778   \n",
       "남구로         37.888889  35.633333  33.583333  32.433333  ...  26.916667   \n",
       "남성          39.672222  41.738889  37.100000  36.077778  ...  28.727778   \n",
       "내방          40.638889  45.027778  42.561111  38.622222  ...  35.094444   \n",
       "노원          23.861111  24.527778  23.100000  19.927778  ...  16.366667   \n",
       "논현          35.538889  37.466667  38.500000  35.188889  ...  36.288889   \n",
       "대림          33.672222  31.061111  27.977778  27.877778  ...  25.833333   \n",
       "도봉산          8.927778   8.433333   8.016667   6.833333  ...   2.727778   \n",
       "마들          28.888889  30.300000  29.677778  25.355556  ...  19.044444   \n",
       "먹골          31.855556  33.255556  30.727778  26.838889  ...  20.955556   \n",
       "면목          43.566667  46.727778  40.827778  38.361111  ...  30.400000   \n",
       "반포          40.072222  42.438889  41.127778  37.077778  ...  33.105556   \n",
       "보라매         33.155556  34.711111  31.616667  29.788889  ...  25.983333   \n",
       "사가정         43.177778  46.211111  38.905556  37.855556  ...  30.572222   \n",
       "상도          38.677778  42.472222  36.661111  34.822222  ...  28.338889   \n",
       "상봉          40.072222  43.338889  37.966667  34.994444  ...  27.972222   \n",
       "수락산         25.044444  25.388889  24.033333  21.316667  ...  15.616667   \n",
       "숭실대입구       29.383333  30.805556  27.711111  26.200000  ...  20.944444   \n",
       "신대방삼거리      35.061111  36.350000  31.466667  29.605556  ...  23.827778   \n",
       "신풍          33.050000  33.088889  28.155556  27.416667  ...  21.883333   \n",
       "어린이대공원      44.805556  48.055556  43.188889  38.355556  ...  36.183333   \n",
       "온수          37.372222  36.072222  35.872222  30.505556  ...  27.138889   \n",
       "용마산         43.622222  44.494444  39.777778  37.161111  ...  31.744444   \n",
       "자양(뚝섬한강공원)  46.683333  50.988889  46.627778  41.294444  ...  38.050000   \n",
       "장승배기        33.172222  36.066667  31.283333  29.527778  ...  23.694444   \n",
       "장암           1.694444   1.477778   1.150000   0.822222  ...   0.527778   \n",
       "중계          30.222222  30.938889  29.350000  25.072222  ...  19.033333   \n",
       "중곡          50.572222  56.005556  49.077778  44.955556  ...  39.294444   \n",
       "중화          39.016667  41.683333  37.072222  33.188889  ...  27.638889   \n",
       "천왕          35.805556  32.661111  27.305556  26.850000  ...  21.177778   \n",
       "철산          42.216667  39.411111  36.188889  31.838889  ...  25.611111   \n",
       "청담          40.050000  44.844444  44.088889  38.294444  ...  37.266667   \n",
       "총신대입구       41.538889  43.750000  40.027778  37.016667  ...  32.361111   \n",
       "태릉입구        36.133333  37.338889  33.922222  30.538889  ...  25.711111   \n",
       "하계          34.272222  34.255556  32.077778  27.566667  ...  21.672222   \n",
       "학동          36.477778  40.577778  41.194444  36.288889  ...  37.722222   \n",
       "\n",
       "               20시30분     21시00분     21시30분     22시00분     22시30분     23시00분  \\\n",
       "출발역                                                                            \n",
       "가산디지털단지     29.916667  30.733333  29.477778  28.355556  27.744444  26.338889   \n",
       "강남구청        38.300000  38.855556  36.611111  38.983333  32.933333  26.872222   \n",
       "건대입구        44.655556  46.483333  45.438889  48.672222  39.194444  34.877778   \n",
       "고속터미널       40.205556  39.522222  38.394444  38.516667  36.100000  27.322222   \n",
       "공릉          25.877778  25.455556  24.588889  26.366667  22.705556  19.350000   \n",
       "광명사거리       25.261111  22.994444  22.744444  22.800000  21.805556  19.500000   \n",
       "군자          41.655556  42.511111  41.377778  41.950000  34.577778  30.350000   \n",
       "남구로         27.000000  27.561111  25.577778  25.261111  25.177778  23.466667   \n",
       "남성          30.072222  30.594444  29.050000  29.750000  28.777778  23.688889   \n",
       "내방          36.394444  37.300000  34.750000  35.777778  33.727778  25.644444   \n",
       "노원          17.227778  16.877778  15.877778  17.433333  14.116667  12.527778   \n",
       "논현          35.994444  36.427778  35.550000  36.950000  33.605556  26.744444   \n",
       "대림          26.977778  26.961111  26.411111  25.644444  26.394444  23.588889   \n",
       "도봉산          2.383333   2.194444   2.116667   2.016667   1.672222   1.427778   \n",
       "마들          19.166667  19.550000  18.588889  19.050000  16.261111  13.377778   \n",
       "먹골          22.605556  22.250000  21.222222  22.500000  19.788889  16.400000   \n",
       "면목          32.600000  31.766667  31.561111  31.383333  28.788889  23.888889   \n",
       "반포          33.205556  33.477778  33.105556  33.172222  30.177778  24.394444   \n",
       "보라매         27.322222  27.083333  26.205556  25.111111  25.111111  20.583333   \n",
       "사가정         32.566667  32.750000  32.466667  30.850000  29.605556  24.272222   \n",
       "상도          29.327778  30.122222  29.455556  28.911111  26.911111  22.472222   \n",
       "상봉          30.033333  29.977778  29.961111  29.138889  26.266667  22.305556   \n",
       "수락산         15.555556  15.850000  15.605556  15.288889  13.311111  11.188889   \n",
       "숭실대입구       21.172222  22.222222  21.261111  21.300000  19.922222  16.755556   \n",
       "신대방삼거리      25.394444  25.788889  25.583333  23.788889  23.894444  20.644444   \n",
       "신풍          23.888889  23.450000  22.666667  21.322222  22.072222  18.977778   \n",
       "어린이대공원      36.327778  37.161111  36.727778  36.738889  32.294444  28.322222   \n",
       "온수          27.861111  29.861111  25.800000  29.133333  24.855556  24.355556   \n",
       "용마산         32.188889  33.572222  31.361111  32.655556  29.100000  24.983333   \n",
       "자양(뚝섬한강공원)  37.688889  39.277778  37.372222  39.733333  32.727778  27.588889   \n",
       "장승배기        25.633333  26.027778  26.066667  23.766667  23.816667  21.138889   \n",
       "장암           0.350000   0.394444   0.388889   0.188889   0.161111   0.105556   \n",
       "중계          19.911111  19.788889  19.138889  19.850000  16.533333  14.366667   \n",
       "중곡          39.727778  40.172222  39.083333  39.400000  33.761111  28.716667   \n",
       "중화          29.133333  29.238889  28.433333  29.055556  25.572222  21.288889   \n",
       "천왕          22.844444  20.772222  19.922222  21.611111  19.783333  17.577778   \n",
       "철산          27.094444  27.177778  25.650000  25.194444  24.372222  22.661111   \n",
       "청담          37.066667  38.088889  36.316667  38.161111  32.883333  26.533333   \n",
       "총신대입구       33.800000  34.483333  32.683333  33.116667  33.494444  26.844444   \n",
       "태릉입구        27.761111  26.800000  26.461111  28.033333  24.616667  21.022222   \n",
       "하계          22.883333  22.705556  21.333333  22.950000  19.472222  16.294444   \n",
       "학동          36.616667  36.866667  35.494444  37.155556  32.827778  26.405556   \n",
       "\n",
       "               23시30분     00시00분    00시30분  \n",
       "출발역                                         \n",
       "가산디지털단지     15.927778   6.150000  3.100000  \n",
       "강남구청        20.977778   5.261111  3.016667  \n",
       "건대입구        29.172222   7.772222  1.733333  \n",
       "고속터미널       18.694444   3.338889  2.611111  \n",
       "공릉          15.916667   4.444444  3.022222  \n",
       "광명사거리       11.488889   3.700000  2.344444  \n",
       "군자          24.766667   7.472222  3.300000  \n",
       "남구로         13.783333   3.194444  2.905556  \n",
       "남성          16.150000   4.072222  3.400000  \n",
       "내방          16.911111   3.200000  2.144444  \n",
       "노원          11.272222   5.911111  2.188889  \n",
       "논현          19.983333   4.905556  3.088889  \n",
       "대림          14.200000   3.355556  3.216667  \n",
       "도봉산          1.588889   0.233333  0.000000  \n",
       "마들          10.850000   4.561111  1.400000  \n",
       "먹골          14.244444   5.950000  2.044444  \n",
       "면목          20.622222  10.488889  3.050000  \n",
       "반포          18.088889   5.988889  2.577778  \n",
       "보라매         13.966667   3.300000  2.100000  \n",
       "사가정         18.561111   6.105556  3.133333  \n",
       "상도          15.650000   4.188889  3.150000  \n",
       "상봉          18.188889   8.016667  2.788889  \n",
       "수락산         10.022222   5.000000  1.227778  \n",
       "숭실대입구       11.000000   2.622222  2.255556  \n",
       "신대방삼거리      13.000000   3.466667  2.455556  \n",
       "신풍          12.077778   3.166667  1.966667  \n",
       "어린이대공원      21.538889   6.461111  2.861111  \n",
       "온수          15.494444   5.244444  2.011111  \n",
       "용마산         19.705556   6.416667  3.144444  \n",
       "자양(뚝섬한강공원)  20.955556   6.594444  2.544444  \n",
       "장승배기        12.966667   2.550000  2.583333  \n",
       "장암           0.022222   0.005556  0.000000  \n",
       "중계          12.705556   7.277778  2.427778  \n",
       "중곡          23.622222   7.222222  3.116667  \n",
       "중화          18.755556   8.022222  2.611111  \n",
       "천왕          10.505556   3.188889  1.161111  \n",
       "철산          13.050000   4.600000  2.577778  \n",
       "청담          20.572222   4.222222  2.305556  \n",
       "총신대입구       19.838889   4.588889  2.561111  \n",
       "태릉입구        18.150000   4.327778  2.127778  \n",
       "하계          14.377778   8.766667  2.883333  \n",
       "학동          20.377778   5.433333  2.961111  \n",
       "\n",
       "[42 rows x 39 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f8377402-ced5-4c8e-9f4e-1086dcd067eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_mean.to_csv(\"data/after/지하철혼잡도평균.csv\", encoding=\"utf-8-sig\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6cd9047-f319-48b1-9be0-37166ae4c75c",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 시간대별 승하차 총 인원 정보"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "bd376be0-81ec-426a-aef4-39da67c2d6e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 23년 1월 ~ 24년 6월까지 시간대별 인원 평균값\n",
    "df_4 = pd.read_csv(\"data/서울시 지하철 호선별 역별 시간대별 승하차 인원 정보.csv\", encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "594b93b8-2dd6-4ca5-8b3e-e895b261b245",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4 = df_4[df_4['호선명'] == '7호선']\n",
    "df_4['사용월'] = df_4['사용월'].astype(str)\n",
    "df_4 = df_4[df_4['사용월'].between('202301', '202406')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b1c1000f-852a-43e4-95e2-411340f30a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_4['지하철역'] = df_4['지하철역'].astype(str)\n",
    "df_4=df_4.groupby('지하철역').mean(numeric_only=True)\n",
    "\n",
    "indexes_4 = df_4.index\n",
    "r = []\n",
    "for i in range(5):\n",
    "    total = {\"key\": \"0%d시-0%d시 총 승하차인원\" %(i+4, i+5), \"value\": df_4[\"0%d시-0%d시 승차인원\" %(i+4, i+5)] + df_4[\"0%d시-0%d시 하차인원\" %(i+4, i+5)]}\n",
    "    r.append(total)\n",
    "\n",
    "total = {\"key\": \"9시-10시 총 승하차인원\", \"value\": df_4[\"09시-10시 승차인원\"] + df_4[\"09시-10시 하차인원\"]}\n",
    "r.append(total)\n",
    "\n",
    "for i in range(6, 19):\n",
    "    total = {\"key\": \"%d시-%d시 총 승하차인원\" %(i+4, i+5), \"value\": df_4[\"%d시-%d시 승차인원\" %(i+4, i+5)] + df_4[\"%d시-%d시 하차인원\" %(i+4, i+5)]}\n",
    "    r.append(total)\n",
    "\n",
    "total = {\"key\": \"00시-01시 총 승하차인원\", \"value\": df_4[\"00시-01시 승차인원\"] + df_4[\"00시-01시 하차인원\"]}\n",
    "r.append(total)\n",
    "\n",
    "for i in range(4):\n",
    "    total = {\"key\" : \"0%d시-0%d시 총 승하차인원\" %(i, i+1), \"value\": df_4[\"0%d시-0%d시 승차인원\" %(i, i+1)] + df_4[\"0%d시-0%d시 하차인원\" %(i, i+1)]}\n",
    "    r.append(total)\n",
    "\n",
    "df_5 = pd.DataFrame()\n",
    "for el in r:\n",
    "    df_5[el[\"key\"]] =  el[\"value\"]\n",
    "\n",
    "df_5.index = indexes_4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "cdf50232-9565-4b55-8f25-8e31d85ee9a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_indexes = df_5.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0d8864cc-569e-4f3f-aaa7-af220b7acf11",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5.to_csv(\"data/after/역 시간대별 총 승하차인원.csv\", encoding=\"utf-8-sig\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17972873-cb81-478a-a37f-0ec771959295",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 상권데이터"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "2bf706af-645b-48eb-a6e0-73468e2b36b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopy in c:\\users\\thddl\\miniconda3\\envs\\toy_project\\lib\\site-packages (2.4.1)\n",
      "Requirement already satisfied: geographiclib<3,>=1.52 in c:\\users\\thddl\\miniconda3\\envs\\toy_project\\lib\\site-packages (from geopy) (2.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install geopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "33b4c0c4-b548-4e45-b562-5e431b517e54",
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy.geocoders import Nominatim\n",
    "df_8 = pd.DataFrame()\n",
    "df_8[\"역명\"] = new_indexes\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"hi\")\n",
    "for i, loc in enumerate(df_8[\"역명\"]):\n",
    "    location = geolocator.geocode(loc)\n",
    "    if location is not None:\n",
    "        coord = location[-1]\n",
    "        df_8.loc[i, '위도'] = coord[0]\n",
    "        df_8.loc[i, '경도'] = coord[1]\n",
    "    else:\n",
    "        df_8.loc[i, '위도'] = None\n",
    "        df_8.loc[i, '경도'] = None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a33bc235-cd91-453d-b511-1d3b2a5e34a6",
   "metadata": {},
   "source": [
    "* 아래 쿼리는 지정된 반경 내에서 경찰서, 세무서, 도서관, 소방서, 버스 정류장, 물품보관함, 사회복지시설, 초/중/고/대학교 시설을 모두 검색합니다. 이 쿼리를 Overpass API에 전달하면 해당 시설들의 위치 정보를 JSON 형태로 받을 수 있습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "158b73c8-4148-4c0f-a82a-5d340ae5e5e1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'version': 0.6, 'generator': 'Overpass API 0.7.62.1 084b4234', 'osm3s': {'timestamp_osm_base': '2024-09-02T07:20:00Z', 'copyright': 'The data included in this document is from www.openstreetmap.org. The data is made available under ODbL.'}, 'elements': [{'type': 'node', 'id': 357846092, 'lat': 37.4832672, 'lon': 126.8788427, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지영창실업', 'name:en': 'Digital 3 Danjiyeongchangsileop', 'name:ko': '디지털3단지영창실업', 'name:ko-Latn': 'Dijiteol 3 Danjiyeongchangsileop', 'public_transport': 'platform', 'route_ref': '571'}}, {'type': 'node', 'id': 357846686, 'lat': 37.47896, 'lon': 126.87928, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지월드벤쳐센터', 'name:en': 'Digital 3 Danji World Benchyeo Center', 'name:ko': '디지털3단지월드벤쳐센터', 'name:ko-Latn': 'Dijiteol 3 Danjiwoldeubenchyeosenteo', 'public_transport': 'platform', 'route_ref': '571;652'}}, {'type': 'node', 'id': 357854591, 'lat': 37.47665, 'lon': 126.88056, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지사거리', 'name:en': 'Digital 3 Danji Crossroad', 'name:ko': '디지털3단지사거리', 'name:ko-Latn': 'Dijiteol 3 Danjisageori', 'public_transport': 'platform', 'route_ref': '652;571'}}, {'type': 'node', 'id': 357884815, 'lat': 37.4821619, 'lon': 126.877973, 'tags': {'bus': 'yes', 'departures_board': 'realtime', 'highway': 'bus_stop', 'name': '디지털3단지운동장', 'name:en': 'Digital 3 Danji Playground', 'name:ko': '디지털3단지운동장', 'name:ko-Latn': 'Dijiteol 3 Danjiundongjang', 'public_transport': 'platform', 'ref': '18105', 'route_ref': '5012;5528;21'}}, {'type': 'node', 'id': 357892847, 'lat': 37.4763776, 'lon': 126.8851165, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '벽산디지털밸리', 'name:en': 'Byeoksan Digital Baelli', 'name:ko': '벽산디지털밸리', 'name:ko-Latn': 'Byeoksandijiteolbaelli', 'public_transport': 'platform', 'route_ref': '5537'}}, {'type': 'node', 'id': 357892851, 'lat': 37.4783124, 'lon': 126.8842738, 'tags': {'bench': 'yes', 'bus': 'yes', 'highway': 'bus_stop', 'name': '마리오아울렛', 'name:en': 'Mario Outlet', 'name:ja': 'マリオアウトレット', 'name:ko': '마리오아울렛', 'name:ko-Latn': 'Marioaullet', 'public_transport': 'platform', 'route_ref': '5537;5712', 'shelter': 'yes'}}, {'type': 'node', 'id': 357892866, 'lat': 37.4807574, 'lon': 126.8839789, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '국민연금공단구로금천지사앞', 'public_transport': 'platform', 'route_ref': '5537'}}, {'type': 'node', 'id': 357892870, 'lat': 37.47857, 'lon': 126.88432, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '마리오아울렛', 'name:en': 'Mario Outlet', 'name:ja': 'マリオアウトレット', 'name:ko': '마리오아울렛', 'name:ko-Latn': 'Marioaullet', 'public_transport': 'platform', 'route_ref': '5537'}}, {'type': 'node', 'id': 357892879, 'lat': 37.47671, 'lon': 126.88513, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '벽산디지털밸리', 'name:en': 'Byeoksan Digital Baelli', 'name:ko': '벽산디지털밸리', 'name:ko-Latn': 'Byeoksandijiteolbaelli', 'public_transport': 'platform', 'route_ref': '5537'}}, {'type': 'node', 'id': 357895240, 'lat': 37.4824221, 'lon': 126.8870638, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가리봉시장', 'public_transport': 'platform', 'route_ref': '5619;5712;5626;5630;5714;503;571;5615;5618'}}, {'type': 'node', 'id': 357898043, 'lat': 37.4832293, 'lon': 126.8789252, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지영창실업', 'name:en': 'Digital 3 Danjiyeongchangsileop', 'name:ko': '디지털3단지영창실업', 'name:ko-Latn': 'Dijiteol 3 Danjiyeongchangsileop', 'public_transport': 'platform', 'route_ref': '5012;652;5528;571'}}, {'type': 'node', 'id': 357898257, 'lat': 37.47958, 'lon': 126.87978, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지.가산비지니스센터', 'public_transport': 'platform', 'route_ref': '5012;5528'}}, {'type': 'node', 'id': 357901988, 'lat': 37.4796537, 'lon': 126.8806285, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지.(주)로옴코리아', 'name:en': 'Digital 3 Danji Rohm Korea', 'name:ko': '디지털3단지.(주)로옴코리아', 'name:ko-Latn': 'Dijiteol 3 Danji loomkolia', 'public_transport': 'platform', 'ref': '18109', 'route_ref': '5528;652;571;5012'}}, {'type': 'node', 'id': 357901996, 'lat': 37.480775, 'lon': 126.8814613, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가산디지털단지역', 'name:en': 'Gasan Digital Danji Station', 'name:ko': '가산디지털단지역', 'name:ko-Latn': 'Gasandijiteoldanjiyeok', 'public_transport': 'platform', 'ref': '18240', 'route_ref': '5528;571;652;5012', 'shelter': 'yes'}}, {'type': 'node', 'id': 357902006, 'lat': 37.4813784, 'lon': 126.8868606, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가산디지털역입구', 'name:en': 'Gasan Digital Yeok Entrance', 'name:ko': '가산디지털역입구', 'name:ko-Latn': 'Gasandijiteolyeokipgu', 'public_transport': 'platform', 'route_ref': '5528'}}, {'type': 'node', 'id': 357902303, 'lat': 37.4812285, 'lon': 126.881169, 'tags': {'bench': 'yes', 'bin': 'no', 'bus': 'yes', 'highway': 'bus_stop', 'lit': 'yes', 'name': '가산디지털단지역', 'name:en': 'Gasan Digital Danji Station', 'name:ko': '가산디지털단지역', 'name:ko-Latn': 'Gasandijiteoldanjiyeok', 'public_transport': 'platform', 'route_ref': '5528;571;652;5012', 'shelter': 'yes', 'tactile_paving': 'yes'}}, {'type': 'node', 'id': 357902309, 'lat': 37.48238, 'lon': 126.87802, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '디지털3단지운동장', 'name:en': 'Digital 3 Danji Playground', 'name:ko': '디지털3단지운동장', 'name:ko-Latn': 'Dijiteol 3 Danjiundongjang', 'public_transport': 'platform', 'route_ref': '5528;5012'}}, {'type': 'node', 'id': 357910019, 'lat': 37.48105, 'lon': 126.88325, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가산디지털단지역', 'name:en': 'Gasan Digital Complex Station', 'name:ko': '가산디지털단지역', 'name:ko-Latn': 'Gasandijiteoldanjiyeok', 'public_transport': 'platform', 'route_ref': '5712', 'wheelchair': 'yes'}}, {'type': 'node', 'id': 357910416, 'lat': 37.4811287, 'lon': 126.8830584, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가산디지털단지역', 'name:en': 'Gasan Digital Complex Station', 'name:ko': '가산디지털단지역', 'name:ko-Latn': 'Gasandijiteoldanjiyeok', 'public_transport': 'platform', 'route_ref': '5712;5537'}}, {'type': 'node', 'id': 357910428, 'lat': 37.4828798, 'lon': 126.8871759, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가리봉시장', 'public_transport': 'platform', 'route_ref': '5712;5619;5630;5714;571;5618;503;5626'}}, {'type': 'node', 'id': 368602521, 'lat': 37.47961, 'lon': 126.892792, 'tags': {'amenity': 'police', 'name': '가리봉치안센터', 'name:en': 'Garibong Community Policing Center', 'name:ja': 'カリ峰治安センター', 'name:ko': '가리봉치안센터', 'name:ko-Latn': 'Garibongchiansenteo', 'ncat': '경찰서', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 368602674, 'lat': 37.479907, 'lon': 126.887948, 'tags': {'amenity': 'police', 'name': '가산치안센터', 'name:en': 'Gasan Community Policing Center', 'name:ko': '가산치안센터', 'name:ko-Latn': 'Gasanchiansenteo', 'ncat': '경찰서', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 368638989, 'lat': 37.478594, 'lon': 126.890138, 'tags': {'amenity': 'bank', 'atm': 'yes', 'name': '영등포농협', 'name:en': 'Yeongdeungpo Nonghyup', 'name:ko': '영등포농협', 'name:ko-Latn': 'Yeongdeungpononghyeop', 'ncat': '농협', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 368654557, 'lat': 37.484309, 'lon': 126.883608, 'tags': {'amenity': 'library', 'name': '가리봉2동문고', 'name:en': 'Garibong 2 Dong Library', 'name:ko': '가리봉2동문고', 'name:ko-Latn': 'Garibong 2 Dongmungo', 'ncat': '도서관', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 368654615, 'lat': 37.476887, 'lon': 126.891667, 'tags': {'amenity': 'library', 'name': '가산동문고', 'name:en': 'Gasandong Library', 'name:ko': '가산동문고', 'name:ko-Latn': 'Gasandongmungo', 'ncat': '도서관', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 368899899, 'lat': 37.476887, 'lon': 126.891667, 'tags': {'amenity': 'townhall', 'name': '가산동 주민센터', 'name:en': 'Gasandong Community Service Center', 'name:ko': '가산동 주민센터', 'name:ko-Latn': 'Gasandong Juminsenteo', 'ncat': '주민센터', 'source': 'http://kr.open.gugi.yahoo.com'}}, {'type': 'node', 'id': 3191681800, 'lat': 37.4822166, 'lon': 126.881273, 'tags': {'amenity': 'bank', 'atm': 'yes', 'name': '신한은행'}}, {'type': 'node', 'id': 3195211693, 'lat': 37.4842723, 'lon': 126.8804977, 'tags': {'amenity': 'bank', 'name': '우리은행'}}, {'type': 'node', 'id': 3868882895, 'lat': 37.4771807, 'lon': 126.8830809, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': 'STXV타워', 'public_transport': 'platform'}}, {'type': 'node', 'id': 3868977358, 'lat': 37.4795999, 'lon': 126.8819918, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '7호선가산디지털단지역', 'public_transport': 'platform'}}, {'type': 'node', 'id': 4631507985, 'lat': 37.4813288, 'lon': 126.8842204, 'tags': {'addr:city': '가산동 (Gasan-dong)', 'addr:housenumber': '298', 'addr:street': '벚꽃로 (Beotkkot-ro)', 'amenity': 'bank', 'atm': 'yes', 'name': '기업은행'}}, {'type': 'node', 'id': 4976366293, 'lat': 37.4835696, 'lon': 126.8907276, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4976366666, 'lat': 37.482202, 'lon': 126.8886925, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4976368271, 'lat': 37.4835422, 'lon': 126.891053, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4976368824, 'lat': 37.4836528, 'lon': 126.8910095, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4976368951, 'lat': 37.4837993, 'lon': 126.8898412, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4976369241, 'lat': 37.4836161, 'lon': 126.8908435, 'tags': {'building': 'residential'}}, {'type': 'node', 'id': 4979027620, 'lat': 37.484818, 'lon': 126.8859107, 'tags': {'amenity': 'bank', 'ww': '1'}}, {'type': 'node', 'id': 5826273851, 'lat': 37.4817541, 'lon': 126.8833808, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '가산디지털단지역1번출구', 'public_transport': 'platform'}}, {'type': 'node', 'id': 5826273852, 'lat': 37.4796918, 'lon': 126.8865619, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '한신IT타워', 'name:en': 'Hansin IT Tower', 'name:ko': '한신IT타워', 'public_transport': 'platform'}}, {'type': 'node', 'id': 5826274581, 'lat': 37.4783495, 'lon': 126.8878115, 'tags': {'bus': 'yes', 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'id': 2102460020, 'lat': 37.521007, 'lon': 127.0336405, 'tags': {'amenity': 'bank', 'name': '기업은행'}}, {'type': 'node', 'id': 2102460027, 'lat': 37.5138928, 'lon': 127.0314089, 'tags': {'amenity': 'bank', 'name': '수협', 'name:ja': '水協'}}, {'type': 'node', 'id': 2102460028, 'lat': 37.5213814, 'lon': 127.0346061, 'tags': {'amenity': 'bank', 'name': '한국스탠다드차타드은행'}}, {'type': 'node', 'id': 2102460030, 'lat': 37.5151074, 'lon': 127.0351834, 'tags': {'amenity': 'bank', 'brand': '하나은행', 'brand:en': 'KEB Hana Bank', 'brand:ko': '하나은행', 'brand:wikidata': 'Q484047', 'name': '하나은행', 'name:en': 'KEB Hana Bank', 'name:ko': '하나은행'}}, {'type': 'node', 'id': 2102460032, 'lat': 37.5140609, 'lon': 127.0303462, 'tags': {'amenity': 'bank', 'brand': 'IBK기업은행', 'brand:en': 'Industrial Bank of Korea', 'brand:ko': 'IBK기업은행', 'brand:wikidata': 'Q483855', 'name': 'IBK기업은행', 'name:en': 'Industrial Bank of Korea', 'name:ko': 'IBK기업은행'}}, {'type': 'node', 'id': 2102460033, 'lat': 37.5114759, 'lon': 127.0215598, 'tags': {'amenity': 'bank', 'brand': '하나은행', 'brand:en': 'KEB Hana Bank', 'brand:ko': '하나은행', 'brand:wikidata': 'Q484047', 'name': '하나은행', 'name:en': 'KEB Hana Bank', 'name:ko': '하나은행'}}, {'type': 'node', 'id': 2102460034, 'lat': 37.5143967, 'lon': 127.03037, 'tags': {'amenity': 'bank', 'brand': '우리은행', 'brand:en': 'Woori Bank', 'brand:ko': '우리은행', 'brand:wikidata': 'Q494369', 'name': '우리은행', 'name:en': 'Woori Bank', 'name:ko': '우리은행'}}, {'type': 'node', 'id': 2102460035, 'lat': 37.5136886, 'lon': 127.036151, 'tags': {'amenity': 'bank', 'brand': '우리은행', 'brand:en': 'Woori Bank', 'brand:ko': '우리은행', 'brand:wikidata': 'Q494369', 'name': '우리은행', 'name:en': 'Woori Bank', 'name:ko': '우리은행'}}, {'type': 'node', 'id': 2102460036, 'lat': 37.5194413, 'lon': 127.0351854, 'tags': {'amenity': 'bank', 'name': '씨티은행'}}, {'type': 'node', 'id': 2102460037, 'lat': 37.518101, 'lon': 127.0235299, 'tags': {'amenity': 'bank', 'brand': 'IBK기업은행', 'brand:en': 'Industrial Bank of Korea', 'brand:ko': 'IBK기업은행', 'brand:wikidata': 'Q483855', 'name': 'IBK기업은행', 'name:en': 'Industrial Bank of Korea', 'name:ja': 'IBK企業銀行', 'name:ko': 'IBK기업은행'}}, {'type': 'node', 'id': 2102460038, 'lat': 37.5164515, 'lon': 127.0212788, 'tags': {'amenity': 'bank', 'name': '수협중앙회'}}, {'type': 'node', 'id': 2102460039, 'lat': 37.516616, 'lon': 127.0402065, 'tags': {'amenity': 'bank', 'name': '남서울신용협동조합'}}, {'type': 'node', 'id': 2102460044, 'lat': 37.5138627, 'lon': 127.0297127, 'tags': {'amenity': 'bank', 'brand': '하나은행', 'brand:en': 'KEB Hana Bank', 'brand:ko': '하나은행', 'brand:wikidata': 'Q484047', 'name': '하나은행', 'name:en': 'KEB Hana Bank', 'name:ko': '하나은행'}}, {'type': 'node', 'id': 2102460045, 'lat': 37.5209531, 'lon': 127.0308481, 'tags': {'amenity': 'bank', 'brand': '신한은행', 'brand:en': 'Shinhan Bank', 'brand:ko': '신한은행', 'brand:wikidata': 'Q487230', 'name': '신한은행', 'name:en': 'Shinhan Bank', 'name:ko': '신한은행'}}, {'type': 'node', 'id': 2102460051, 'lat': 37.5172968, 'lon': 127.0343486, 'tags': {'amenity': 'bank', 'brand': '하나은행', 'brand:en': 'KEB Hana Bank', 'brand:ko': '하나은행', 'brand:wikidata': 'Q484047', 'name': '하나은행', 'name:en': 'KEB Hana Bank', 'name:ko': '하나은행'}}, {'type': 'node', 'id': 2102460056, 'lat': 37.5217048, 'lon': 127.0333186, 'tags': {'amenity': 'bank', 'name': '우리은행'}}, {'type': 'node', 'id': 2102460059, 'lat': 37.5199348, 'lon': 127.0348207, 'tags': {'amenity': 'bank', 'name': '하나은행'}}, {'type': 'node', 'id': 2102460061, 'lat': 37.5203029, 'lon': 127.0285349, 'tags': {'amenity': 'bank', 'brand': '우리은행', 'brand:en': 'Woori Bank', 'brand:ko': '우리은행', 'brand:wikidata': 'Q494369', 'brand:wikipedia': 'en:Woori Bank', 'name': '우리은행', 'name:en': 'Woori Bank', 'name:ko': '우리은행'}}, {'type': 'node', 'id': 2102460072, 'lat': 37.5170415, 'lon': 127.0375243, 'tags': {'amenity': 'bank', 'brand': 'MG새마을금고', 'brand:ko': 'MG새마을금고', 'brand:wikidata': 'Q12600614', 'name': 'MG새마을금고', 'name:ko': 'MG새마을금고'}}, {'type': 'node', 'id': 2102460082, 'lat': 37.5168674, 'lon': 127.0349632, 'tags': {'amenity': 'bank', 'atm': 'yes', 'brand': '신한은행', 'brand:en': 'Shinhan Bank', 'brand:ko': '신한은행', 'brand:wikidata': 'Q487230', 'name': '신한은행', 'name:en': 'Shinhan Bank', 'name:ko': '신한은행'}}, {'type': 'node', 'id': 2102460088, 'lat': 37.5160203, 'lon': 127.0356575, 'tags': {'amenity': 'bank', 'brand': 'KB국민은행', 'brand:en': 'KB Kookmin Bank', 'brand:ko': 'KB국민은행', 'brand:wikidata': 'Q496606', 'name': 'KB국민은행', 'name:en': 'KB Kookmin Bank', 'name:ko': 'KB국민은행'}}, {'type': 'node', 'id': 2102478602, 'lat': 37.5173754, 'lon': 127.0371963, 'tags': {'addr:city': '서울 강남구', 'addr:housenumber': '17', 'addr:postcode': '06058', 'addr:street': '학동로43길', 'amenity': 'townhall', 'government': 'administrative', 'name': '논현2동 주민센터', 'name:ko': '논현2동 주민센터', 'office': 'government'}}, {'type': 'node', 'id': 2102482057, 'lat': 37.5115546, 'lon': 127.0284464, 'tags': {'addr:city': '서울 강남구', 'addr:housenumber': '25', 'addr:postcode': '06115', 'addr:street': '학동로20길', 'amenity': 'townhall', 'government': 'administrative', 'name': '논현1동 주민센터', 'name:ja': '論峴1洞 住民センター', 'name:ko': '논현1동 주민센터', 'office': 'government'}}, {'type': 'node', 'id': 4630798961, 'lat': 37.5093927, 'lon': 127.0262791, 'tags': {'amenity': 'bank', 'atm': 'yes', 'brand': '우리은행', 'brand:en': 'Woori Bank', 'brand:ko': '우리은행', 'brand:wikidata': 'Q494369', 'name': '우리은행', 'name:en': 'Woori Bank', 'name:ko': '우리은행'}}, {'type': 'node', 'id': 5448851876, 'lat': 37.5130307, 'lon': 127.0208269, 'tags': {'amenity': 'bank', 'brand': '우리은행', 'brand:en': 'Woori Bank', 'brand:ko': '우리은행', 'brand:wikidata': 'Q494369', 'name': '우리은행', 'name:en': 'Woori Bank', 'name:ko': '우리은행'}}, {'type': 'node', 'id': 9884906539, 'lat': 37.5153467, 'lon': 127.0347813, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '서울세관사거리', 'name:en': 'Seoul Customs Intersection', 'name:ko': '서울세관사거리', 'public_transport': 'platform', 'ref': '23147'}}, {'type': 'node', 'id': 9884906547, 'lat': 37.513714, 'lon': 127.0303266, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '학동역5번출구', 'public_transport': 'platform', 'ref': '23118'}}, {'type': 'node', 'id': 9884906583, 'lat': 37.5152733, 'lon': 127.0300053, 'tags': {'bus': 'yes', 'highway': 'bus_stop', 'name': '학동역', 'name:en': 'Hakdong Station', 'name:ko': '학동역', 'public_transport': 'platform', 'ref': '23536'}}]}\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "\n",
    "# DataFrame에 열 추가\n",
    "df_8[\"버스 정류장 수\"] = 0\n",
    "df_8[\"경찰서 수\"] = 0\n",
    "df_8[\"도서관 수\"] = 0\n",
    "df_8[\"소방서 수\"] = 0\n",
    "df_8[\"사회복지시설 수\"] = 0\n",
    "df_8[\"학교 수\"] = 0\n",
    "df_8[\"구청 수\"] = 0\n",
    "df_8[\"은행 수\"] = 0\n",
    "df_8[\"병원 수\"] = 0\n",
    "df_8[\"일반적 주거 건물의 수\"] = 0 # 여기부터는 반경 1km로 잡음\n",
    "df_8[\"아파트 수\"] = 0\n",
    "\n",
    "def append_columns(df, amenities, n):\n",
    "    # 열 이름으로 접근하기 위해 열의 위치 인덱스 찾기\n",
    "    bus_stop_col = df.columns.get_loc(\"버스 정류장 수\")\n",
    "    police_col = df.columns.get_loc(\"경찰서 수\")\n",
    "    library_col = df.columns.get_loc(\"도서관 수\")\n",
    "    fire_station_col = df.columns.get_loc(\"소방서 수\")\n",
    "    social_facility_col = df.columns.get_loc(\"사회복지시설 수\")\n",
    "    school_col = df.columns.get_loc(\"학교 수\")\n",
    "    town_hall_col = df.columns.get_loc(\"구청 수\")\n",
    "    bank_col = df.columns.get_loc(\"은행 수\")\n",
    "    hospital_col = df.columns.get_loc(\"병원 수\")\n",
    "    residential_col = df.columns.get_loc(\"일반적 주거 건물의 수\")\n",
    "    apartments_col = df.columns.get_loc(\"아파트 수\")\n",
    "    \n",
    "    # amenities가 리스트가 아니라면 리스트로 변환\n",
    "    if not isinstance(amenities, list):\n",
    "        amenities = amenities['elements']\n",
    "\n",
    "    for amenity in amenities:\n",
    "        tags = amenity.get('tags', {})\n",
    "        if tags.get('highway') == \"bus_stop\":\n",
    "            df.iloc[n, bus_stop_col] += 1\n",
    "        elif tags.get('amenity') == \"police\":\n",
    "            df.iloc[n, police_col] += 1\n",
    "        elif tags.get('amenity') == \"library\":\n",
    "            df.iloc[n, library_col] += 1\n",
    "        elif tags.get('amenity') == \"fire_station\":\n",
    "            df.iloc[n, fire_station_col] += 1\n",
    "        elif tags.get('amenity') == \"social_facility\":\n",
    "            df.iloc[n, social_facility_col] += 1\n",
    "        elif tags.get('amenity') == \"school\":\n",
    "            df.iloc[n, school_col] += 1\n",
    "        elif tags.get('amenity') == \"townhall\":\n",
    "            df.iloc[n, town_hall_col] += 1\n",
    "        elif tags.get('amenity') == \"bank\":\n",
    "            df.iloc[n, bank_col] += 1\n",
    "        elif tags.get('amenity') == \"hospital\":\n",
    "            df.iloc[n, hospital_col] += 1\n",
    "        elif tags.get('building') == \"residential\":\n",
    "            df.iloc[n, residential_col] += 1\n",
    "        elif tags.get('building') == \"apartments\":\n",
    "            df.iloc[n, apartments_col] += 1\n",
    "        \n",
    "\n",
    "def search_amenity(df, n):\n",
    "    # Overpass API URL\n",
    "    overpass_url = \"http://overpass-api.de/api/interpreter\"\n",
    "\n",
    "    # Overpass Query 작성 (500m 반경 내의 시설 검색)\n",
    "    overpass_query = f\"\"\"\n",
    "    [out:json];\n",
    "    (\n",
    "      node[\"highway\"=\"bus_stop\"](around:500, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"police\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"library\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"fire_station\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"social_facility\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"school\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"townhall\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"bank\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"amenity\"=\"hospital\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"building\"=\"apartments\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "      node[\"building\"=\"residential\"](around:900, {df.iloc[n][\"위도\"]}, {df.iloc[n][\"경도\"]});\n",
    "    );\n",
    "    out body;\n",
    "    \"\"\"\n",
    "    \n",
    "    # API 요청 보내기\n",
    "    response = requests.get(overpass_url, params={'data': overpass_query})\n",
    "    \n",
    "    # JSON 데이터로 변환\n",
    "    data = response.json()\n",
    "    \n",
    "    # amenities가 'elements' 키에 포함되어 있는지 확인\n",
    "    if 'elements' in data:\n",
    "        append_columns(df, data['elements'], n)\n",
    "    else:\n",
    "        print(\"No elements found in the API response.\")\n",
    "\n",
    "    print(data)\n",
    "\n",
    "for m in range(len(df_8)):\n",
    "    search_amenity(df_8, m)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f4425d18-4406-4850-b97a-71df9fe5cd02",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_8.to_csv(\"data/after/7호선 상권데이터.csv\", encoding='cp949')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65178ce5-bfc7-4457-bf91-937639f9a9cf",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## 역 주변 에스컬레이터 설치 현황"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0600013f-8b2e-4a58-b9d3-23909b70c829",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_10 = pd.read_csv(\"data/서울교통공사_에스컬레이터 설치현황_20231107.csv\", encoding='cp949')\n",
    "df_11 = pd.read_csv(\"data/서울교통공사_에스컬레이터 설치현황_20240626.csv\", encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7a05532b-8941-4c4b-8b75-e29de39e63fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_10 = df_10[df_10['호선'] == '7']\n",
    "df_10 = df_10.sort_values(by=[\"역명\"])\n",
    "df_10 = df_10.drop(columns=[\"연번\", \"호선\", \"장비종류\", \"호기\", \"운행구간\", \"설치위치\"])\n",
    "df_10 = df_10.groupby(\"역명\")[\"승강기번호\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "1183f809-b59f-4d15-b15e-5dffd69ed702",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_10 = pd.DataFrame(df_10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "d8ba40ec-cc56-448d-88b1-180d6bd01e4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_10.columns = [\"에스컬레이터 설치 수\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e3a20eba-d4f7-43d3-afb3-b5f9060425e9",
   "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>에스컬레이터 설치 수</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>역명</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>가산디지털단지(7)</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강남구청(7)</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>건대입구(7)</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>고속터미널(7)</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>공릉</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광명사거리</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>군자(7)</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>남구로</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>남성</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>내방</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>노원(7)</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>논현</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대림(7)</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>뚝섬유원지</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마들</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>먹골</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>면목</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>반포</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보라매</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사가정</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상도</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상봉(7)</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>수락산</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>숭실대입구</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신대방삼거리</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신풍</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어린이대공원</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>온수(7)</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용마산</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>이수(7)</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>장승배기</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중계</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중곡</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중화</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>천왕</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철산</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>청담</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>태릉입구(7)</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>하계</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>학동</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            에스컬레이터 설치 수\n",
       "역명                     \n",
       "가산디지털단지(7)           14\n",
       "강남구청(7)               7\n",
       "건대입구(7)              11\n",
       "고속터미널(7)             21\n",
       "공릉                    8\n",
       "광명사거리                 2\n",
       "군자(7)                 6\n",
       "남구로                  12\n",
       "남성                   14\n",
       "내방                   10\n",
       "노원(7)                15\n",
       "논현                   19\n",
       "대림(7)                13\n",
       "뚝섬유원지                 4\n",
       "마들                    8\n",
       "먹골                    6\n",
       "면목                    6\n",
       "반포                    6\n",
       "보라매                   4\n",
       "사가정                  10\n",
       "상도                   11\n",
       "상봉(7)                 6\n",
       "수락산                   6\n",
       "숭실대입구                12\n",
       "신대방삼거리               12\n",
       "신풍                    4\n",
       "어린이대공원                6\n",
       "온수(7)                16\n",
       "용마산                   8\n",
       "이수(7)                23\n",
       "장승배기                 14\n",
       "중계                   10\n",
       "중곡                    4\n",
       "중화                    6\n",
       "천왕                    6\n",
       "철산                    6\n",
       "청담                   16\n",
       "태릉입구(7)               8\n",
       "하계                    6\n",
       "학동                   10"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4b7c803a-8a55-4b1c-853b-99510bb31e3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_11 = df_11[df_11['호선'] == '7호선']\n",
    "df_11 = df_11.sort_values(by=[\"역  명\"])\n",
    "df_11 = df_11.drop(columns=[\"상하행구분\", \"(근접)출입구번호\", \"시작층(지상_지하)\", \"시작층(운행역층)\", \"시작층(상세위치)\", \"종료층(지상_지하)\", \"종료층(운행역층)\", \"종료층(상세위치)\", \"승강기형폭\", \"승강기 일련번호\", \"데이터 기준일자\"])\n",
    "df_11 = df_11.groupby(\"역  명\")[\"관리번호(호기)\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0444ff78-0b15-432e-86be-bcd83bb06101",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>에스컬레이터 설치 수</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>역  명</th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>가산디지털단지(7)</th>\n",
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       "      <th>강남구청(7)</th>\n",
       "      <td>7</td>\n",
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       "      <th>건대입구(7)</th>\n",
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       "      <th>고속터미널(7)</th>\n",
       "      <td>21</td>\n",
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       "    <tr>\n",
       "      <th>공릉</th>\n",
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       "      <td>2</td>\n",
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       "      <th>군자(7)</th>\n",
       "      <td>6</td>\n",
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       "      <th>남구로</th>\n",
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       "      <th>논현</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>대림(7)</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>뚝섬유원지</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>마들</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>먹골</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>면목</th>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>반포</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보라매</th>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>사가정</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상도</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>상봉(7)</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>수락산</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>숭실대입구</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신대방삼거리</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>신풍</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>어린이대공원</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>온수(7)</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>용마산</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>이수(7)</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>장승배기</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중계</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중곡</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>중화</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>천왕</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철산</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>청담</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>태릉입구(7)</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>하계</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>학동</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            에스컬레이터 설치 수\n",
       "역  명                   \n",
       "가산디지털단지(7)           14\n",
       "강남구청(7)               7\n",
       "건대입구(7)              11\n",
       "고속터미널(7)             21\n",
       "공릉                    8\n",
       "광명사거리                 2\n",
       "군자(7)                 6\n",
       "남구로                  12\n",
       "남성                   14\n",
       "내방                   10\n",
       "노원(7)                15\n",
       "논현                   19\n",
       "대림(7)                13\n",
       "뚝섬유원지                 4\n",
       "마들                    8\n",
       "먹골                    6\n",
       "면목                    6\n",
       "반포                    6\n",
       "보라매                   4\n",
       "사가정                  10\n",
       "상도                   11\n",
       "상봉(7)                 6\n",
       "수락산                   6\n",
       "숭실대입구                12\n",
       "신대방삼거리               12\n",
       "신풍                    4\n",
       "어린이대공원                6\n",
       "온수(7)                16\n",
       "용마산                   8\n",
       "이수(7)                23\n",
       "장승배기                 14\n",
       "중계                   10\n",
       "중곡                    4\n",
       "중화                    6\n",
       "천왕                    6\n",
       "철산                    6\n",
       "청담                   16\n",
       "태릉입구(7)               8\n",
       "하계                    6\n",
       "학동                   10"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_11 = pd.DataFrame(df_11)\n",
    "df_11.columns = [\"에스컬레이터 설치 수\"]\n",
    "\n",
    "len(df_11.index)\n",
    "df_11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "22199986-5c9d-4b46-b092-e76ac4fd4742",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True,  True])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_10.index == df_11.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "79b88b74-8df6-476f-9ba6-26ee359569ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_12 = (df_10 + df_11) / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "8e93de3d-35ab-4b63-bfd3-111c274cc716",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_12.to_csv(\"data/after/에스컬레이터 설치현황.csv\", encoding='cp949')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
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