다른 사람과의 공유를 위한 repo
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import os\n",
"\n",
"### intersections\n",
"intersections_path = os.path.join('daily/S_INT_CONFIG.csv')\n",
"intersections = pd.read_csv(intersections_path)\n",
"### phase_config\n",
"phase_config_path = os.path.join('daily/S_INT_PHASE_CONFIG.csv')\n",
"phase_config = pd.read_csv(phase_config_path)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>INT_NO</th>\n",
" <th>INT_NAME</th>\n",
" <th>SA_NO</th>\n",
" <th>INT_LAT</th>\n",
" <th>INT_LNG</th>\n",
" <th>IS_SMART</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>도촌4거리</td>\n",
" <td>1</td>\n",
" <td>37.41405</td>\n",
" <td>127.14385</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>동원SK삼거리(아시아 주유소)</td>\n",
" <td>1</td>\n",
" <td>37.41282</td>\n",
" <td>127.14382</td>\n",
" <td>NaN</td>\n",
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" <td>37.40809</td>\n",
" <td>127.14296</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>돌마4거리(상탑3거리)</td>\n",
" <td>0</td>\n",
" <td>37.40683</td>\n",
" <td>127.14201</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>상탑초3거리</td>\n",
" <td>0</td>\n",
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" <td>NaN</td>\n",
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" <th>5</th>\n",
" <td>6</td>\n",
" <td>야탑3치안센터(상탑 P.B)</td>\n",
" <td>0</td>\n",
" <td>37.40549</td>\n",
" <td>127.14823</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>7</td>\n",
" <td>테크노 단일로</td>\n",
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" <td>37.40486</td>\n",
" <td>127.15121</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
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" <th>7</th>\n",
" <td>8</td>\n",
" <td>분당테크노파크A동</td>\n",
" <td>0</td>\n",
" <td>37.40499</td>\n",
" <td>127.15034</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>9</td>\n",
" <td>분당테크노파크C동(분당테크노파크)</td>\n",
" <td>0</td>\n",
" <td>37.40545</td>\n",
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" <th>9</th>\n",
" <td>10</td>\n",
" <td>야탑차량등록사업소</td>\n",
" <td>0</td>\n",
" <td>37.40682</td>\n",
" <td>127.15470</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
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" INT_NO INT_NAME SA_NO INT_LAT INT_LNG IS_SMART\n",
"0 1 도촌4거리 1 37.41405 127.14385 1.0\n",
"1 2 동원SK삼거리(아시아 주유소) 1 37.41282 127.14382 NaN\n",
"2 3 상탑4거리 0 37.40809 127.14296 NaN\n",
"3 4 돌마4거리(상탑3거리) 0 37.40683 127.14201 1.0\n",
"4 5 상탑초3거리 0 37.40561 127.14473 NaN\n",
"5 6 야탑3치안센터(상탑 P.B) 0 37.40549 127.14823 NaN\n",
"6 7 테크노 단일로 0 37.40486 127.15121 NaN\n",
"7 8 분당테크노파크A동 0 37.40499 127.15034 NaN\n",
"8 9 분당테크노파크C동(분당테크노파크) 0 37.40545 127.15526 NaN\n",
"9 10 야탑차량등록사업소 0 37.40682 127.15470 NaN"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 1. 교차로정보 (intersections, 테이블명 : S_INT_CONFIG)\n",
"intersections_path = os.path.join('daily/S_INT_CONFIG.csv')\n",
"intersections = pd.read_csv(intersections_path)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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" INT_NO INT_PHASE_NO INT_PLAN_CLSS INT_RING INT_FLOW_NO INT_MIN_SPLIT \\\n",
"0 204 1 0 0 8 0 \n",
"1 204 1 0 1 4 0 \n",
"2 204 2 0 0 17 0 \n",
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"8 205 4 0 0 6 0 \n",
"9 205 4 0 1 1 0 \n",
"\n",
" INT_MAX_SPLIT INT_YELLOW INT_MAIN_PHASE INT_LANE INT_PHASE_LAT1 \\\n",
"0 0 0 0 0 37.36581 \n",
"1 0 0 0 0 37.36646 \n",
"2 0 0 0 0 19.69448 \n",
"3 0 0 0 0 37.36595 \n",
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"5 0 0 0 0 37.36530 \n",
"6 0 0 0 0 37.36530 \n",
"7 0 0 0 0 19.69448 \n",
"8 0 0 0 0 37.36573 \n",
"9 0 0 0 0 37.36553 \n",
"\n",
" INT_PHASE_LNG1 INT_PHASE_LAT2 INT_PHASE_LNG2 INT_PHASE_LAT3 \\\n",
"0 127.10822 37.36614 127.10822 37.36626 \n",
"1 127.10797 37.36614 127.10797 37.36602 \n",
"2 117.99260 19.69448 117.99260 19.69448 \n",
"3 127.10607 37.36563 127.10608 37.36563 \n",
"4 127.10582 37.36563 127.10583 37.36551 \n",
"5 127.10583 37.36563 127.10583 37.36563 \n",
"6 127.10608 37.36563 127.10608 37.36575 \n",
"7 117.99260 19.69448 117.99260 19.69448 \n",
"8 127.10636 37.36573 127.10595 37.36573 \n",
"9 127.10636 37.36553 127.10595 37.36541 \n",
"\n",
" INT_PHASE_LNG3 \n",
"0 127.10822 \n",
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 2. 현시정보 (phase_config, 테이블명 : S_INT_PHASE_CONFIG)\n",
"phase_config_path = os.path.join('daily/S_INT_PHASE_CONFIG.csv')\n",
"phase_config = pd.read_csv(phase_config_path)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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],
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" INT_NO INT_PLAN_NO INT_PLAN_INDEX INT_ASPLIT1 INT_ASPLIT2 INT_ASPLIT3 \\\n",
"0 806 1 1 60 50 30 \n",
"1 808 1 1 60 50 30 \n",
"2 809 1 1 60 50 30 \n",
"3 810 1 1 60 50 30 \n",
"\n",
" INT_ASPLIT4 INT_ASPLIT5 INT_ASPLIT6 INT_ASPLIT7 INT_ASPLIT8 \\\n",
"0 20 NaN NaN NaN NaN \n",
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"3 20 NaN NaN NaN NaN \n",
"\n",
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"0 60 50 30 20 NaN \n",
"1 60 50 30 20 NaN \n",
"2 60 50 30 20 NaN \n",
"3 60 50 30 20 NaN \n",
"\n",
" INT_BSPLIT6 INT_BSPLIT7 INT_BSPLIT8 INT_OFFSET \n",
"0 NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN \n",
"2 NaN NaN NaN NaN \n",
"3 NaN NaN NaN NaN "
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" SA_NO SA_WEEK SA_DPLAN\n",
"0 30 1 1\n",
"1 30 2 1\n",
"2 30 3 1\n",
"3 30 4 1\n",
"4 30 5 1\n",
"5 30 6 1\n",
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"text/plain": [
" SA_NO SA_DPLAN_NO SA_DPLAN_INDEX SA_START_HOUR SA_START_MIN \\\n",
"0 1 1 1 0 0 \n",
"1 1 1 2 6 0 \n",
"2 1 1 3 10 0 \n",
"3 1 1 4 16 0 \n",
"4 1 1 5 0 0 \n",
"5 1 1 6 0 0 \n",
"6 1 1 7 0 0 \n",
"7 1 1 8 0 0 \n",
"8 1 1 9 0 0 \n",
"9 1 1 10 0 0 \n",
"\n",
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"0 1 1 1 \n",
"1 2 2 2 \n",
"2 3 5 5 \n",
"3 2 2 2 \n",
"4 0 0 0 \n",
"5 0 0 0 \n",
"6 0 0 0 \n",
"7 0 0 0 \n",
"8 0 0 0 \n",
"9 0 0 0 "
]
},
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],
"source": [
"# 3. 신호계획정보 (tplan, wplan, dplan, 테이블명 : S_INT_TPLAN, S_INT_WPLAN, S_INT_DPLAN)\n",
"tplan_path = os.path.join('daily/S_INT_TPLAN.csv')\n",
"tplan = pd.read_csv(tplan_path)\n",
"wplan_path = os.path.join('daily/S_SA_WPLAN.csv')\n",
"wplan = pd.read_csv(wplan_path)\n",
"dplan_path = os.path.join('daily/S_SA_DPLAN.csv')\n",
"dplan = pd.read_csv(dplan_path)\n",
"display(tplan[:10])\n",
"display(wplan[:10])\n",
"display(dplan[:10])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" <th></th>\n",
" <th>INT_NO</th>\n",
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" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11097</th>\n",
" <td>477</td>\n",
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" <td>0</td>\n",
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"<p>11098 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" INT_NO INT_CREATE_DATE INT_SPLIT1 INT_SPLIT2 INT_SPLIT3 \\\n",
"0 743 2023-10-18 08:10:00 0 0 0 \n",
"1 743 2023-10-18 08:13:00 0 0 0 \n",
"2 743 2023-10-18 08:14:00 0 0 0 \n",
"3 743 2023-10-18 08:16:00 0 0 0 \n",
"4 743 2023-10-18 08:17:00 0 0 0 \n",
"... ... ... ... ... ... \n",
"11093 477 2023-10-18 08:05:00 0 0 0 \n",
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"11095 477 2023-10-18 08:07:00 0 0 0 \n",
"11096 477 2023-10-18 08:08:00 0 0 0 \n",
"11097 477 2023-10-18 08:09:00 0 0 0 \n",
"\n",
" INT_SPLIT4 INT_SPLIT5 INT_SPLIT6 INT_SPLIT7 INT_SPLIT8 INT_OFFSET \\\n",
"0 0 0 0 NaN NaN 0 \n",
"1 0 0 0 NaN NaN 0 \n",
"2 0 0 0 NaN NaN 0 \n",
"3 0 0 0 NaN NaN 0 \n",
"4 0 0 0 NaN NaN 0 \n",
"... ... ... ... ... ... ... \n",
"11093 0 0 0 NaN NaN 0 \n",
"11094 0 0 0 NaN NaN 0 \n",
"11095 0 0 0 NaN NaN 0 \n",
"11096 0 0 0 NaN NaN 0 \n",
"11097 0 0 0 NaN NaN 0 \n",
"\n",
" INT_CYCLE \n",
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"2 0 \n",
"3 0 \n",
"4 0 \n",
"... ... \n",
"11093 0 \n",
"11094 0 \n",
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"\n",
"[11098 rows x 12 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 4. 신호이력정보 (history, 테이블명 : S_TOD_HIS)\n",
"# history\n",
"history_path = os.path.join('realtime/S_TOD_HIS.csv')\n",
"history= pd.read_csv(history_path)\n",
"history"
]
}
],
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"file_extension": ".py",
"mimetype": "text/x-python",
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