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public/1108_requirements/1108_raw_tables.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import os\n",
"# "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"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": 3,
"metadata": {},
"outputs": [],
"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": 4,
"metadata": {},
"outputs": [
{
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" <th></th>\n",
" <th>INT_NO</th>\n",
" <th>INT_PLAN_NO</th>\n",
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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",
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"0 20 NaN NaN NaN NaN \n",
"1 20 NaN NaN NaN NaN \n",
"2 20 NaN NaN NaN NaN \n",
"3 20 NaN NaN NaN NaN \n",
"\n",
" INT_BSPLIT1 INT_BSPLIT2 INT_BSPLIT3 INT_BSPLIT4 INT_BSPLIT5 \\\n",
"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",
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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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" <th>SA_DPLAN_INDEX</th>\n",
" <th>SA_START_HOUR</th>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <th>6</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
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" <tr>\n",
" <th>9</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\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",
" SA_CYCLE_INDEX SA_OFFSET SA_SPLIT \n",
"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 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"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": 5,
"metadata": {},
"outputs": [
{
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" <tr>\n",
" <th>11097</th>\n",
" <td>477</td>\n",
" <td>2023-10-18 08:09:00</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<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",
"11094 477 2023-10-18 08:06:00 0 0 0 \n",
"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",
"0 0 \n",
"1 0 \n",
"2 0 \n",
"3 0 \n",
"4 0 \n",
"... ... \n",
"11093 0 \n",
"11094 0 \n",
"11095 0 \n",
"11096 0 \n",
"11097 0 \n",
"\n",
"[11098 rows x 12 columns]"
]
},
"execution_count": 5,
"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"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "general",
"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": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}