bicycle_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./data/서울특별시 공공자전거 대여소별 이용정보(월별)_23.1-6.csv', encoding='cp949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>자치구</th>\n",
       "      <th>대여소명</th>\n",
       "      <th>기준년월</th>\n",
       "      <th>대여건수</th>\n",
       "      <th>반납건수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>강남구</td>\n",
       "      <td>2301. 현대고등학교 건너편</td>\n",
       "      <td>202301</td>\n",
       "      <td>383</td>\n",
       "      <td>439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>강남구</td>\n",
       "      <td>2302. 교보타워 버스정류장(신논현역 3번출구 후면)</td>\n",
       "      <td>202301</td>\n",
       "      <td>433</td>\n",
       "      <td>446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>강남구</td>\n",
       "      <td>2303. 논현역 10번출구</td>\n",
       "      <td>202301</td>\n",
       "      <td>648</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>강남구</td>\n",
       "      <td>2304. 대현그린타워</td>\n",
       "      <td>202301</td>\n",
       "      <td>76</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>강남구</td>\n",
       "      <td>2305. MCM 본사 직영점 앞</td>\n",
       "      <td>202301</td>\n",
       "      <td>172</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16301</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>4837. 양원지구 힐데스하임 앞</td>\n",
       "      <td>202306</td>\n",
       "      <td>853</td>\n",
       "      <td>827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16302</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>4838.동원사거리 행복오피스텔 앞</td>\n",
       "      <td>202306</td>\n",
       "      <td>900</td>\n",
       "      <td>669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16303</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>4840. 서울시 북부병원 앞</td>\n",
       "      <td>202306</td>\n",
       "      <td>875</td>\n",
       "      <td>897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16304</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>4841. 중화수경공원</td>\n",
       "      <td>202306</td>\n",
       "      <td>1886</td>\n",
       "      <td>2147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16305</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>4842. 면목라온프라이빗 아파트</td>\n",
       "      <td>202306</td>\n",
       "      <td>765</td>\n",
       "      <td>867</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>16306 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       자치구                            대여소명    기준년월   대여건수   반납건수\n",
       "0      강남구                2301. 현대고등학교 건너편  202301   383    439 \n",
       "1      강남구  2302. 교보타워 버스정류장(신논현역 3번출구 후면)  202301   433    446 \n",
       "2      강남구                 2303. 논현역 10번출구  202301   648    508 \n",
       "3      강남구                    2304. 대현그린타워  202301    76     55 \n",
       "4      강남구              2305. MCM 본사 직영점 앞  202301   172    179 \n",
       "...    ...                             ...     ...    ...    ...\n",
       "16301  중랑구              4837. 양원지구 힐데스하임 앞  202306    853    827\n",
       "16302  중랑구             4838.동원사거리 행복오피스텔 앞  202306    900    669\n",
       "16303  중랑구                4840. 서울시 북부병원 앞  202306    875    897\n",
       "16304  중랑구                    4841. 중화수경공원  202306   1886   2147\n",
       "16305  중랑구              4842. 면목라온프라이빗 아파트  202306    765    867\n",
       "\n",
       "[16306 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['대여건수'] = pd.to_numeric(df['대여건수'].str.replace(',', ''), errors='coerce')\n",
    "df['반납건수'] = pd.to_numeric(df['반납건수'].str.replace(',', ''), errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_df = df.groupby('자치구', as_index=False).agg({'대여건수': 'sum', '반납건수': 'sum'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_df.columns = ['자치구명', '대여건수', '반납건수']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>자치구명</th>\n",
       "      <th>대여건수</th>\n",
       "      <th>반납건수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>강남구</td>\n",
       "      <td>673634</td>\n",
       "      <td>633867.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>강동구</td>\n",
       "      <td>933894</td>\n",
       "      <td>939209.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>강북구</td>\n",
       "      <td>335276</td>\n",
       "      <td>328670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>강서구</td>\n",
       "      <td>2425742</td>\n",
       "      <td>2408730.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>관악구</td>\n",
       "      <td>540994</td>\n",
       "      <td>529883.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  자치구명     대여건수       반납건수\n",
       "0  강남구   673634   633867.0\n",
       "1  강동구   933894   939209.0\n",
       "2  강북구   335276   328670.0\n",
       "3  강서구  2425742  2408730.0\n",
       "4  관악구   540994   529883.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from matplotlib import ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['font.family'] = 'appleGothic'\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.title('2023년 서울시 자치구별 공공자전거 대여건수')\n",
    "plt.bar(result_df['자치구'], result_df['대여건수'], color='green')\n",
    "formatter = ticker.ScalarFormatter()\n",
    "formatter.set_scientific(False)\n",
    "plt.xticks(rotation=45)\n",
    "plt.yticks(rotation=45)\n",
    "plt.grid(axis='y', alpha=0.5)\n",
    "plt.gca().yaxis.set_major_formatter(formatter)\n",
    "plt.savefig('./result/2023년 서울시 자치구별 공공자전거 대여건수.png')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}