신호생성 repo (24. 1. 5 ~).
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{
"cells": [
{
"cell_type": "code",
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"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import os\n",
"import sumolib\n",
"import random\n",
"from tqdm import tqdm\n",
"from datetime import datetime"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# A. 이동류 매칭"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 0%| | 0/17280 [00:00<?, ?it/s]"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 17280/17280 [00:53<00:00, 321.26it/s]\n"
]
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>inter_no</th>\n",
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"text/plain": [
" inter_no phas_A phas_B move_A move_B\n",
"0 175 1 1 8 4\n",
"1 175 2 2 7 3\n",
"2 175 3 3 6 1\n",
"3 175 3 4 6 2\n",
"4 175 4 4 5 2\n",
"5 176 1 1 8 4\n",
"6 176 2 2 8 3\n",
"7 176 3 3 5 18\n",
"8 177 1 1 8 4\n",
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"source": [
"# [이동류번호] 불러오기 (약 1분의 소요시간)\n",
"path_moves = '../../Data/tables/moves/'\n",
"csv_moves = os.listdir('../../Data/tables/moves/')\n",
"moves = [pd.read_csv(path_moves + csv_move, index_col=0) for csv_move in tqdm(csv_moves)]\n",
"match1 = pd.concat(moves).drop_duplicates().sort_values(by=['inter_no','phas_A','phas_B']).reset_index(drop=True)\n",
"match1.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
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"text/plain": [
" inter_no phase_no ring_type move_no\n",
"0 175 1 A 8\n",
"0 175 1 B 4\n",
"1 175 2 A 7\n",
"1 175 2 B 3\n",
"2 175 3 A 6\n",
"2 175 3 B 1\n",
"4 175 4 A 5\n",
"3 175 4 B 2\n",
"5 176 1 A 8\n",
"5 176 1 B 4"
]
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"execution_count": 3,
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],
"source": [
"# 계층화 (inter_no, phas_A, phas_B, move_A, move_B) -> ('inter_no', 'phase_no', 'ring_type', 'move_no')\n",
"matchA = match1[['inter_no', 'phas_A', 'move_A']].copy()\n",
"matchA.columns = ['inter_no', 'phase_no', 'move_no']\n",
"matchA['ring_type'] = 'A'\n",
"matchB = match1[['inter_no', 'phas_B', 'move_B']].copy()\n",
"matchB.columns = ['inter_no', 'phase_no', 'move_no']\n",
"matchB['ring_type'] = 'B'\n",
"match2 = pd.concat([matchA, matchB]).drop_duplicates()\n",
"match2 = match2[['inter_no', 'phase_no', 'ring_type', 'move_no']]\n",
"match2 = match2.sort_values(by=list(match2.columns))\n",
"match2.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
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" <td>서</td>\n",
" <td>동</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir\n",
"0 175 1 A 8 남 북\n",
"1 175 1 B 4 북 남\n",
"2 175 2 A 7 북 동\n",
"3 175 2 B 3 남 서\n",
"4 175 3 A 6 동 서\n",
"5 175 3 B 1 동 남\n",
"6 175 4 A 5 서 북\n",
"7 175 4 B 2 서 동\n",
"8 176 1 A 8 남 북\n",
"9 176 1 B 4 북 남\n",
"10 176 2 A 8 남 북\n",
"11 176 2 B 3 남 서\n",
"12 176 3 A 5 서 북\n",
"13 176 3 B 18 NaN NaN\n",
"14 177 1 A 8 남 북\n",
"15 177 1 B 4 북 남\n",
"16 177 2 A 7 북 동\n",
"17 177 2 B 3 남 서\n",
"18 177 3 A 17 NaN NaN\n",
"19 177 3 B 18 NaN NaN\n",
"20 177 4 A 5 서 북\n",
"21 177 4 B 1 동 남\n",
"22 178 1 A 8 남 북\n",
"23 178 1 B 4 북 남\n",
"24 178 2 A 7 북 동\n",
"25 178 2 B 3 남 서\n",
"26 178 3 A 5 서 북\n",
"27 178 3 B 2 서 동\n",
"28 178 4 A 6 동 서\n",
"29 178 4 B 1 동 남\n",
"30 201 1 A 8 남 북\n",
"31 201 1 B 3 남 서\n",
"32 201 2 A 5 서 북\n",
"33 201 2 B 2 서 동\n",
"34 201 3 A 6 동 서\n",
"35 201 3 B 2 서 동\n",
"36 201 4 A 6 동 서\n",
"37 201 4 B 1 동 남\n",
"38 201 5 A 7 북 동\n",
"39 201 5 B 4 북 남\n",
"40 202 1 A 6 동 서\n",
"41 202 1 B 2 서 동\n",
"42 202 2 A 17 NaN NaN\n",
"43 202 2 B 18 NaN NaN\n",
"44 206 1 A 8 남 북\n",
"45 206 1 B 4 북 남\n",
"46 206 2 A 17 NaN NaN\n",
"47 206 2 B 18 NaN NaN\n",
"48 206 3 A 8 남 북\n",
"49 206 3 B 4 북 남\n",
"50 206 4 A 17 NaN NaN\n",
"51 206 4 B 18 NaN NaN\n",
"52 210 1 A 6 동 서\n",
"53 210 1 B 18 NaN NaN\n",
"54 210 2 A 5 서 북\n",
"55 210 2 B 2 서 동\n",
"56 210 3 A 7 북 동\n",
"57 210 3 B 4 북 남\n",
"58 210 4 A 8 남 북\n",
"59 210 4 B 3 남 서"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# [nema 이동류목록] 불러오기 및 병합\n",
"nema = pd.read_csv('../../Data/tables/nema.csv', encoding='cp949')\n",
"match3 = pd.merge(match2, nema, how='left', on='move_no').drop_duplicates()\n",
"match3"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
" <th>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" <th>inc_dir</th>\n",
" <th>out_dir</th>\n",
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" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
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" <td>1</td>\n",
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" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>175</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
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" <tr>\n",
" <th>7</th>\n",
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" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
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" <tr>\n",
" <th>9</th>\n",
" <td>176</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>359</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>176</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
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" <td>2</td>\n",
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" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>356</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>001</td>\n",
" <td>176</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
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" <tr>\n",
" <th>17</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>179</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>20</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>178</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>178</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>201</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>201</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>201</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>201</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>201</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>201</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>201</td>\n",
" <td>5</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>201</td>\n",
" <td>5</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>202</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>202</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>359</td>\n",
" <td>090</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle\n",
"0 175 1 A 8 남 북 179 004\n",
"1 175 1 B 4 북 남 003 176\n",
"2 175 2 A 7 북 동 001 095\n",
"3 175 2 B 3 남 서 179 270\n",
"4 175 3 A 6 동 서 090 270\n",
"5 175 3 B 1 동 남 090 180\n",
"6 175 4 A 5 서 북 268 000\n",
"7 175 4 B 2 서 동 270 090\n",
"8 176 1 A 8 남 북 180 000\n",
"9 176 1 B 4 북 남 359 180\n",
"10 176 2 A 8 남 북 180 000\n",
"11 176 2 B 3 남 서 180 270\n",
"12 176 3 A 5 서 북 270 356\n",
"13 176 3 B 18 NaN NaN NaN NaN\n",
"14 177 1 A 8 남 북 180 000\n",
"15 177 1 B 4 북 남 001 176\n",
"16 177 2 A 7 북 동 000 090\n",
"17 177 2 B 3 남 서 179 270\n",
"18 177 3 A 17 NaN NaN NaN NaN\n",
"19 177 3 B 18 NaN NaN NaN NaN\n",
"20 177 4 A 5 서 북 268 000\n",
"21 177 4 B 1 동 남 090 180\n",
"22 178 1 A 8 남 북 180 000\n",
"23 178 1 B 4 북 남 000 180\n",
"24 178 2 A 7 북 동 000 090\n",
"25 178 2 B 3 남 서 180 270\n",
"26 178 3 A 5 서 북 270 000\n",
"27 178 3 B 2 서 동 270 090\n",
"28 178 4 A 6 동 서 090 270\n",
"29 178 4 B 1 동 남 090 180\n",
"30 201 1 A 8 남 북 180 000\n",
"31 201 1 B 3 남 서 180 270\n",
"32 201 2 A 5 서 북 270 000\n",
"33 201 2 B 2 서 동 270 090\n",
"34 201 3 A 6 동 서 090 270\n",
"35 201 3 B 2 서 동 270 090\n",
"36 201 4 A 6 동 서 090 270\n",
"37 201 4 B 1 동 남 090 180\n",
"38 201 5 A 7 북 동 000 090\n",
"39 201 5 B 4 북 남 000 180\n",
"40 202 1 A 6 동 서 090 270\n",
"41 202 1 B 2 서 동 270 090\n",
"42 202 2 A 17 NaN NaN NaN NaN\n",
"43 202 2 B 18 NaN NaN NaN NaN\n",
"44 206 1 A 8 남 북 180 000\n",
"45 206 1 B 4 북 남 000 180\n",
"46 206 2 A 17 NaN NaN NaN NaN\n",
"47 206 2 B 18 NaN NaN NaN NaN\n",
"48 206 3 A 8 남 북 180 000\n",
"49 206 3 B 4 북 남 000 180\n",
"50 206 4 A 17 NaN NaN NaN NaN\n",
"51 206 4 B 18 NaN NaN NaN NaN\n",
"52 210 1 A 6 동 서 090 270\n",
"53 210 1 B 18 NaN NaN NaN NaN\n",
"54 210 2 A 5 서 북 268 000\n",
"55 210 2 B 2 서 동 270 090\n",
"56 210 3 A 7 북 동 359 090\n",
"57 210 3 B 4 북 남 000 180\n",
"58 210 4 A 8 남 북 180 000\n",
"59 210 4 B 3 남 서 180 270"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# [방위각정보] 불러오기, 계층화, 병합\n",
"# 불러오기\n",
"dtype_dict = {f'angle_{alph}{j}':'str' for alph in ['A', 'B'] for j in range(1,9)}\n",
"angle_original = pd.read_csv('../../Data/tables/angle.csv', index_col=0, dtype = dtype_dict)\n",
"# 계층화\n",
"angle = []\n",
"for i, row in angle_original.iterrows():\n",
" angle_codes = row[[f'angle_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" new = pd.DataFrame({'inter_no':[row.inter_no] * 16, 'phase_no':list(range(1, 9))*2, 'ring_type':['A'] * 8 + ['B'] * 8, 'angle_code':angle_codes.to_list()})\n",
" angle.append(new)\n",
"angle = pd.concat(angle)\n",
"angle = angle.dropna().reset_index(drop=True)\n",
"# 병합\n",
"six_chars = angle.angle_code.apply(lambda x:len(x)==6)\n",
"angle.loc[six_chars,'inc_angle'] = angle.angle_code.apply(lambda x:x[:3])\n",
"angle.loc[six_chars,'out_angle'] = angle.angle_code.apply(lambda x:x[3:])\n",
"angle = angle.drop('angle_code', axis=1)\n",
"match4 = pd.merge(match3, angle, how='left', left_on=['inter_no', 'phase_no', 'ring_type'],\n",
" right_on=['inter_no', 'phase_no', 'ring_type']).drop_duplicates()\n",
"match4"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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"\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>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" <th>inc_dir</th>\n",
" <th>out_dir</th>\n",
" <th>inc_angle</th>\n",
" <th>out_angle</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" <th>node_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>179</td>\n",
" <td>004</td>\n",
" <td>-571542797_02</td>\n",
" <td>571500487_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>003</td>\n",
" <td>176</td>\n",
" <td>-571500487_01</td>\n",
" <td>571542797_02</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>175</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>001</td>\n",
" <td>095</td>\n",
" <td>-571500487_01</td>\n",
" <td>571545870_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>175</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>179</td>\n",
" <td>270</td>\n",
" <td>-571542797_02</td>\n",
" <td>571510153_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>571545870_02</td>\n",
" <td>571542797_02</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>175</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" <td>571510153_02</td>\n",
" <td>571500487_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>175</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571510153_02</td>\n",
" <td>571545870_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>176</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>176</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>359</td>\n",
" <td>180</td>\n",
" <td>571542797_02.99</td>\n",
" <td>571542810_01</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>176</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>176</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>-571542810_01</td>\n",
" <td>571543469_01</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>356</td>\n",
" <td>571543469_02</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542811_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>001</td>\n",
" <td>176</td>\n",
" <td>571542811_02</td>\n",
" <td>571542809_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" <td>571542811_02</td>\n",
" <td>571542107_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>179</td>\n",
" <td>270</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542809_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542811_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>571542107_02</td>\n",
" <td>571542809_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>571540304_02</td>\n",
" <td>571556450_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>571556450_02</td>\n",
" <td>571540304_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>178</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" <td>571556450_02</td>\n",
" <td>571500475_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>178</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>571540304_02</td>\n",
" <td>571540303_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>000</td>\n",
" <td>571540303_02.21</td>\n",
" <td>571556450_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571540303_02.21</td>\n",
" <td>571500475_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>-571500475_01</td>\n",
" <td>571540303_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>-571500475_01</td>\n",
" <td>571540304_01</td>\n",
" <td>i3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>201</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571500569_01</td>\n",
" <td>571500583_02</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>201</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>-571500569_01</td>\n",
" <td>571500618_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>000</td>\n",
" <td>571500618_02</td>\n",
" <td>571500583_02</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>201</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571500618_02</td>\n",
" <td>571500617_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>201</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>571500617_02</td>\n",
" <td>571500618_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>201</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571500618_02</td>\n",
" <td>571500617_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>201</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>571500617_02</td>\n",
" <td>571500618_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>201</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>571500617_02</td>\n",
" <td>571500569_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>201</td>\n",
" <td>5</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" <td>571500583_01</td>\n",
" <td>571500617_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>201</td>\n",
" <td>5</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>571500583_01</td>\n",
" <td>571500569_01</td>\n",
" <td>i8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>202</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>571510152_02</td>\n",
" <td>-571510152_01</td>\n",
" <td>i9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>202</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571510152_01</td>\n",
" <td>571510152_01.65</td>\n",
" <td>i9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>202</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571511538_02</td>\n",
" <td>571542073_02</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>206</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>571542073_01</td>\n",
" <td>571511538_02</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>206</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571511538_02</td>\n",
" <td>571542073_02</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>206</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>571542073_01</td>\n",
" <td>571511538_02</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>206</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>-571542115_01</td>\n",
" <td>571500535_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>210</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" <td>571500535_02.18</td>\n",
" <td>571511538_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571500535_02.18</td>\n",
" <td>571542115_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>359</td>\n",
" <td>090</td>\n",
" <td>571511538_02.121</td>\n",
" <td>571542115_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>571511538_02.121</td>\n",
" <td>571500585_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>571500585_02</td>\n",
" <td>571511538_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>571500585_02</td>\n",
" <td>571500535_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 175 1 A 8 남 북 179 004 \n",
"1 175 1 B 4 북 남 003 176 \n",
"2 175 2 A 7 북 동 001 095 \n",
"3 175 2 B 3 남 서 179 270 \n",
"4 175 3 A 6 동 서 090 270 \n",
"5 175 3 B 1 동 남 090 180 \n",
"6 175 4 A 5 서 북 268 000 \n",
"7 175 4 B 2 서 동 270 090 \n",
"8 176 1 A 8 남 북 180 000 \n",
"9 176 1 B 4 북 남 359 180 \n",
"10 176 2 A 8 남 북 180 000 \n",
"11 176 2 B 3 남 서 180 270 \n",
"12 176 3 A 5 서 북 270 356 \n",
"13 176 3 B 18 NaN NaN NaN NaN \n",
"14 177 1 A 8 남 북 180 000 \n",
"15 177 1 B 4 북 남 001 176 \n",
"16 177 2 A 7 북 동 000 090 \n",
"17 177 2 B 3 남 서 179 270 \n",
"18 177 3 A 17 NaN NaN NaN NaN \n",
"19 177 3 B 18 NaN NaN NaN NaN \n",
"20 177 4 A 5 서 북 268 000 \n",
"21 177 4 B 1 동 남 090 180 \n",
"22 178 1 A 8 남 북 180 000 \n",
"23 178 1 B 4 북 남 000 180 \n",
"24 178 2 A 7 북 동 000 090 \n",
"25 178 2 B 3 남 서 180 270 \n",
"26 178 3 A 5 서 북 270 000 \n",
"27 178 3 B 2 서 동 270 090 \n",
"28 178 4 A 6 동 서 090 270 \n",
"29 178 4 B 1 동 남 090 180 \n",
"30 201 1 A 8 남 북 180 000 \n",
"31 201 1 B 3 남 서 180 270 \n",
"32 201 2 A 5 서 북 270 000 \n",
"33 201 2 B 2 서 동 270 090 \n",
"34 201 3 A 6 동 서 090 270 \n",
"35 201 3 B 2 서 동 270 090 \n",
"36 201 4 A 6 동 서 090 270 \n",
"37 201 4 B 1 동 남 090 180 \n",
"38 201 5 A 7 북 동 000 090 \n",
"39 201 5 B 4 북 남 000 180 \n",
"40 202 1 A 6 동 서 090 270 \n",
"41 202 1 B 2 서 동 270 090 \n",
"42 202 2 A 17 NaN NaN NaN NaN \n",
"43 202 2 B 18 NaN NaN NaN NaN \n",
"44 206 1 A 8 남 북 180 000 \n",
"45 206 1 B 4 북 남 000 180 \n",
"46 206 2 A 17 NaN NaN NaN NaN \n",
"47 206 2 B 18 NaN NaN NaN NaN \n",
"48 206 3 A 8 남 북 180 000 \n",
"49 206 3 B 4 북 남 000 180 \n",
"50 206 4 A 17 NaN NaN NaN NaN \n",
"51 206 4 B 18 NaN NaN NaN NaN \n",
"52 210 1 A 6 동 서 090 270 \n",
"53 210 1 B 18 NaN NaN NaN NaN \n",
"54 210 2 A 5 서 북 268 000 \n",
"55 210 2 B 2 서 동 270 090 \n",
"56 210 3 A 7 북 동 359 090 \n",
"57 210 3 B 4 북 남 000 180 \n",
"58 210 4 A 8 남 북 180 000 \n",
"59 210 4 B 3 남 서 180 270 \n",
"\n",
" inc_edge out_edge node_id \n",
"0 -571542797_02 571500487_01 i0 \n",
"1 -571500487_01 571542797_02 i0 \n",
"2 -571500487_01 571545870_01 i0 \n",
"3 -571542797_02 571510153_01 i0 \n",
"4 571545870_02 571510153_01 i0 \n",
"5 571545870_02 571542797_02 i0 \n",
"6 571510153_02 571500487_01 i0 \n",
"7 571510153_02 571545870_01 i0 \n",
"8 -571542810_01 -571542797_02.99 i1 \n",
"9 571542797_02.99 571542810_01 i1 \n",
"10 -571542810_01 -571542797_02.99 i1 \n",
"11 -571542810_01 571543469_01 i1 \n",
"12 571543469_02 -571542797_02.99 i1 \n",
"13 NaN NaN i1 \n",
"14 -571542809_01 571542811_01 i2 \n",
"15 571542811_02 571542809_01 i2 \n",
"16 571542811_02 571542107_01 i2 \n",
"17 -571542809_01 571542809_01 i2 \n",
"18 NaN NaN i2 \n",
"19 NaN NaN i2 \n",
"20 -571542809_01 571542811_01 i2 \n",
"21 571542107_02 571542809_01 i2 \n",
"22 571540304_02 571556450_01 i3 \n",
"23 571556450_02 571540304_01 i3 \n",
"24 571556450_02 571500475_01 i3 \n",
"25 571540304_02 571540303_01 i3 \n",
"26 571540303_02.21 571556450_01 i3 \n",
"27 571540303_02.21 571500475_01 i3 \n",
"28 -571500475_01 571540303_01 i3 \n",
"29 -571500475_01 571540304_01 i3 \n",
"30 -571500569_01 571500583_02 i8 \n",
"31 -571500569_01 571500618_01 i8 \n",
"32 571500618_02 571500583_02 i8 \n",
"33 571500618_02 571500617_01 i8 \n",
"34 571500617_02 571500618_01 i8 \n",
"35 571500618_02 571500617_01 i8 \n",
"36 571500617_02 571500618_01 i8 \n",
"37 571500617_02 571500569_01 i8 \n",
"38 571500583_01 571500617_01 i8 \n",
"39 571500583_01 571500569_01 i8 \n",
"40 571510152_02 -571510152_01 i9 \n",
"41 571510152_01 571510152_01.65 i9 \n",
"42 NaN NaN i9 \n",
"43 NaN NaN i9 \n",
"44 -571511538_02 571542073_02 i7 \n",
"45 571542073_01 571511538_02 i7 \n",
"46 NaN NaN i7 \n",
"47 NaN NaN i7 \n",
"48 -571511538_02 571542073_02 i7 \n",
"49 571542073_01 571511538_02 i7 \n",
"50 NaN NaN i7 \n",
"51 NaN NaN i7 \n",
"52 -571542115_01 571500535_01 i6 \n",
"53 NaN NaN i6 \n",
"54 571500535_02.18 571511538_01 i6 \n",
"55 571500535_02.18 571542115_01 i6 \n",
"56 571511538_02.121 571542115_01 i6 \n",
"57 571511538_02.121 571500585_01 i6 \n",
"58 571500585_02 571511538_01 i6 \n",
"59 571500585_02 571500535_01 i6 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# [네트워크], [교차로-노드 매칭], [교차로정보] 불러오기\n",
"net = sumolib.net.readNet('../../Data/networks/SN_sample.net.xml')\n",
"inter_node = pd.read_csv('../../Data/tables/inter_node.csv', index_col=0)\n",
"inter_info = pd.read_csv('../../Data/tables/inter_info.csv', index_col=0)\n",
"\n",
"inter_node1 = inter_node[inter_node.inter_type == 'parent'].drop('inter_type', axis=1)\n",
"inter_info1 = inter_info[['inter_no', 'inter_lat', 'inter_lon']]\n",
"inter = pd.merge(inter_node1, inter_info1, how='left', left_on=['inter_no'],\n",
" right_on=['inter_no']).drop_duplicates()\n",
"\n",
"inter2node = dict(zip(inter['inter_no'], inter['node_id']))\n",
"\n",
"match5 = match4.copy()\n",
"# 진입진출ID 매칭\n",
"for index, row in match5.iterrows():\n",
" node_id = inter2node[row.inter_no]\n",
" node = net.getNode(node_id)\n",
" # 교차로의 모든 (from / to) edges\n",
" inc_edges = [edge for edge in node.getIncoming() if edge.getFunction() == ''] # incoming edges\n",
" out_edges = [edge for edge in node.getOutgoing() if edge.getFunction() == ''] # outgoing edges\n",
" # 교차로의 모든 (from / to) directions\n",
" inc_dirs = []\n",
" for inc_edge in inc_edges:\n",
" start = inc_edge.getShape()[-2]\n",
" end = inc_edge.getShape()[-1]\n",
" inc_dir = np.array(end) - np.array(start)\n",
" inc_dir = inc_dir / (inc_dir ** 2).sum() ** 0.5\n",
" inc_dirs.append(inc_dir)\n",
" out_dirs = []\n",
" for out_edge in out_edges:\n",
" start = out_edge.getShape()[0]\n",
" end = out_edge.getShape()[1]\n",
" out_dir = np.array(end) - np.array(start)\n",
" out_dir = out_dir / (out_dir ** 2).sum() ** 0.5\n",
" out_dirs.append(out_dir)\n",
" # 진입각, 진출각 불러오기\n",
" if not pd.isna(row.inc_angle):\n",
" inc_angle = int(row.inc_angle)\n",
" out_angle = int(row.out_angle)\n",
" # 방위각을 일반각으로 가공, 라디안 변환, 단위벡터로 변환\n",
" inc_angle = (-90 - inc_angle) % 360\n",
" inc_angle = inc_angle * np.pi / 180.\n",
" inc_dir_true = np.array([np.cos(inc_angle), np.sin(inc_angle)])\n",
" out_angle = (90 - out_angle) % 360\n",
" out_angle = out_angle * np.pi / 180.\n",
" out_dir_true = np.array([np.cos(out_angle), np.sin(out_angle)])\n",
" # 매칭 엣지 반환\n",
" inc_index = np.array([np.dot(inc_dir, inc_dir_true) for inc_dir in inc_dirs]).argmax()\n",
" out_index = np.array([np.dot(out_dir, out_dir_true) for out_dir in out_dirs]).argmax()\n",
" inc_edge_id = inc_edges[inc_index].getID()\n",
" out_edge_id = out_edges[out_index].getID()\n",
" match5.at[index, 'inc_edge'] = inc_edge_id\n",
" match5.at[index, 'out_edge'] = out_edge_id\n",
"match5['node_id'] = match5['inter_no'].map(inter2node)\n",
"match5 = match5.sort_values(by=['inter_no','phase_no','ring_type']).reset_index(drop=True)\n",
"match5"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"8\n",
"[175, 176, 177, 178, 201, 202, 206, 210]\n",
"14\n",
"['c30', 'i0', 'i1', 'i2', 'i3', 'i6', 'i7', 'i8', 'i9', 'u00', 'u20', 'u30', 'u31', 'u32']\n"
]
},
{
"data": {
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"<div>\n",
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" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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" 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>inter_no</th>\n",
" <th>node_id</th>\n",
" <th>inter_type</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>i0</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>175</td>\n",
" <td>u00</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>176</td>\n",
" <td>i1</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>177</td>\n",
" <td>i2</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>177</td>\n",
" <td>u20</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>178</td>\n",
" <td>i3</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>178</td>\n",
" <td>u30</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>178</td>\n",
" <td>u31</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>178</td>\n",
" <td>u32</td>\n",
" <td>child</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>201</td>\n",
" <td>i8</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>202</td>\n",
" <td>i9</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>206</td>\n",
" <td>i7</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>210</td>\n",
" <td>i6</td>\n",
" <td>parent</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>178</td>\n",
" <td>c30</td>\n",
" <td>child</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no node_id inter_type\n",
"0 175 i0 parent\n",
"1 175 u00 child\n",
"2 176 i1 parent\n",
"3 177 i2 parent\n",
"4 177 u20 child\n",
"5 178 i3 parent\n",
"6 178 u30 child\n",
"7 178 u31 child\n",
"8 178 u32 child\n",
"9 201 i8 parent\n",
"10 202 i9 parent\n",
"11 206 i7 parent\n",
"12 210 i6 parent\n",
"13 178 c30 child"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(len(inter_node.inter_no.unique()))\n",
"print(sorted(inter_node.inter_no.unique()))\n",
"print(len(inter_node.node_id.unique()))\n",
"print(sorted(inter_node.node_id.unique()))\n",
"inter_node"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['u00', 'u20', 'u30', 'u31', 'u32', 'u60'], dtype=object)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# 유턴/연동교차로에 대하여 진입ID, 진출ID 부여\n",
"node2inter = dict(zip(inter_node['node_id'], inter_node['inter_no']))\n",
"\n",
"uturn = pd.read_csv('../../Data/tables/child_uturn.csv')\n",
"coord = pd.read_csv('../../Data/tables/child_coord.csv')\n",
"\n",
"child_ids = inter_node[inter_node.inter_type=='child'].node_id.unique()\n",
"ch2pa = {} # child to parent\n",
"for child_id in child_ids:\n",
" parent_no = inter_node[inter_node.node_id==child_id].inter_no.iloc[0]\n",
" sub_inter_node = inter_node[inter_node.inter_no==parent_no]\n",
" ch2pa[child_id] = sub_inter_node[sub_inter_node.inter_type=='parent'].iloc[0].node_id\n",
"directions = ['북', '북동', '동', '남동', '남', '남서', '서', '북서'] # 정북기준 시계방향으로 8방향\n",
"u_ids = uturn.child_id.unique()\n",
"u_ids"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"u00 i0 좌회전시 북\n"
]
},
{
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" <td>NaN</td>\n",
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" <th>4</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u00</td>\n",
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" <td>NaN</td>\n",
" <td>u00</td>\n",
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" <td>4</td>\n",
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" <td>서</td>\n",
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" <td>268</td>\n",
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" <td>NaN</td>\n",
" <td>u00</td>\n",
" </tr>\n",
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" <td>4</td>\n",
" <td>B</td>\n",
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" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u00</td>\n",
" </tr>\n",
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],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 175 1 A 8 남 북 179 004 \n",
"1 175 1 B 4 북 남 003 176 \n",
"2 175 2 A 19 북 동 001 095 \n",
"3 175 2 B 3 남 서 179 270 \n",
"4 175 3 A 6 동 서 090 270 \n",
"5 175 3 B 1 동 남 090 180 \n",
"6 175 4 A 5 서 북 268 000 \n",
"7 175 4 B 2 서 동 270 090 \n",
"\n",
" inc_edge out_edge node_id \n",
"0 NaN NaN u00 \n",
"1 NaN NaN u00 \n",
"2 571500487_02 571500487_01.32 u00 \n",
"3 NaN NaN u00 \n",
"4 NaN NaN u00 \n",
"5 NaN NaN u00 \n",
"6 NaN NaN u00 \n",
"7 NaN NaN u00 "
]
},
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},
{
"name": "stdout",
"output_type": "stream",
"text": [
"u20 i2 보행신호시 북\n"
]
},
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" <td>2</td>\n",
" <td>A</td>\n",
" <td>19</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" <td>571500535_02</td>\n",
" <td>-571500535_02</td>\n",
" <td>u60</td>\n",
" </tr>\n",
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" <th>3</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>19</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571500535_02</td>\n",
" <td>-571500535_02</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>359</td>\n",
" <td>090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 210 1 A 6 동 서 090 270 \n",
"1 210 1 B 18 NaN NaN NaN NaN \n",
"2 210 2 A 19 서 북 268 000 \n",
"3 210 2 B 19 서 동 270 090 \n",
"4 210 3 A 7 북 동 359 090 \n",
"5 210 3 B 4 북 남 000 180 \n",
"6 210 4 A 8 남 북 180 000 \n",
"7 210 4 B 3 남 서 180 270 \n",
"\n",
" inc_edge out_edge node_id \n",
"0 NaN NaN u60 \n",
"1 NaN NaN u60 \n",
"2 571500535_02 -571500535_02 u60 \n",
"3 571500535_02 -571500535_02 u60 \n",
"4 NaN NaN u60 \n",
"5 NaN NaN u60 \n",
"6 NaN NaN u60 \n",
"7 NaN NaN u60 "
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"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle \\\n",
"0 178 1 A 20 NaN NaN NaN \n",
"1 178 1 B 20 NaN NaN NaN \n",
"2 178 2 A 20 NaN NaN NaN \n",
"3 178 2 B 20 NaN NaN NaN \n",
"4 178 3 A 20 NaN NaN NaN \n",
"5 178 3 B 20 NaN NaN NaN \n",
"6 178 4 A 20 NaN NaN NaN \n",
"7 178 4 B 20 NaN NaN NaN \n",
"\n",
" out_angle inc_edge out_edge node_id \n",
"0 NaN NaN NaN c30 \n",
"1 NaN NaN NaN c30 \n",
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"5 NaN 571542116_02.96 571542116_02.164 c30 \n",
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" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>359</td>\n",
" <td>090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
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" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
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" <td>NaN</td>\n",
" <td>u60</td>\n",
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" <td>8</td>\n",
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" <td>000</td>\n",
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" <th>7</th>\n",
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" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
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"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 175 1 A 8 남 북 179 004 \n",
"1 175 1 B 4 북 남 003 176 \n",
"2 175 2 A 7 북 동 001 095 \n",
"3 175 2 B 3 남 서 179 270 \n",
"4 175 3 A 6 동 서 090 270 \n",
".. ... ... ... ... ... ... ... ... \n",
"3 210 2 B 19 서 동 270 090 \n",
"4 210 3 A 7 북 동 359 090 \n",
"5 210 3 B 4 북 남 000 180 \n",
"6 210 4 A 8 남 북 180 000 \n",
"7 210 4 B 3 남 서 180 270 \n",
"\n",
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"0 -571542797_02 571500487_01 i0 \n",
"1 -571500487_01 571542797_02 i0 \n",
"2 -571500487_01 571545870_01 i0 \n",
"3 -571542797_02 571510153_01 i0 \n",
"4 571545870_02 571510153_01 i0 \n",
".. ... ... ... \n",
"3 571500535_02 -571500535_02 u60 \n",
"4 NaN NaN u60 \n",
"5 NaN NaN u60 \n",
"6 NaN NaN u60 \n",
"7 NaN NaN u60 \n",
"\n",
"[116 rows x 11 columns]"
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],
"source": [
"# 유턴/연동교차로에 대하여 진입ID, 진출ID 부여\n",
"node2inter = dict(zip(inter_node['node_id'], inter_node['inter_no']))\n",
"\n",
"uturn = pd.read_csv('../../Data/tables/child_uturn.csv')\n",
"coord = pd.read_csv('../../Data/tables/child_coord.csv')\n",
"child_ids = inter_node[inter_node.inter_type=='child'].node_id.unique()\n",
"ch2pa = {} # child to parent\n",
"for child_id in child_ids:\n",
" parent_no = inter_node[inter_node.node_id==child_id].inter_no.iloc[0]\n",
" sub_inter_node = inter_node[inter_node.inter_no==parent_no]\n",
" ch2pa[child_id] = sub_inter_node[sub_inter_node.inter_type=='parent'].iloc[0].node_id\n",
"directions = ['북', '북동', '동', '남동', '남', '남서', '서', '북서'] # 정북기준 시계방향으로 8방향\n",
"u_ids = uturn.child_id.unique()\n",
"# 각 child uturn node에 대하여 (inc_edge_id, out_edge_id) 부여\n",
"cmatches = []\n",
"for _, row in uturn.iterrows():\n",
" child_id = row.child_id\n",
" parent_id = row.parent_id\n",
" direction = row.direction\n",
" condition = row.condition\n",
" inc_edge_id = row.inc_edge\n",
" out_edge_id = row.out_edge\n",
" ind = directions.index(direction)\n",
" if condition == \"좌회전시\":\n",
" print(child_id, parent_id, condition, direction)\n",
" inc_dire = direction\n",
" out_dire_A = out_dire_B = directions[(ind + 2) % len(directions)]\n",
" elif condition == \"직진시\":\n",
" print(child_id, parent_id, condition, direction)\n",
" inc_dire = direction\n",
" out_dire_A = out_dire_B = directions[(ind + 4) % len(directions)]\n",
" elif condition == \"직좌시\":\n",
" print(child_id, parent_id, condition, direction)\n",
" inc_dire = direction\n",
" out_dire_A = directions[(ind + 2) % len(directions)]\n",
" out_dire_B = directions[(ind + 4) % len(directions)]\n",
" elif condition == \"보행신호시\":\n",
" print(child_id, parent_id, condition, direction)\n",
" inc_dire = directions[(ind + 2) % len(directions)]\n",
" out_dire_A = directions[(ind - 2) % len(directions)]\n",
" out_dire_B = directions[(ind - 2) % len(directions)]\n",
" cmatch = match5.copy()[match5.node_id==parent_id] # match dataframe for a child node\n",
" cmatch = cmatch.sort_values(by=['phase_no', 'ring_type']).reset_index(drop=True)\n",
" cmatch['node_id'] = child_id\n",
" cmatch[['inc_edge', 'out_edge']] = np.nan\n",
" if condition == '직좌시':\n",
" ap = cmatch[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_A)].phase_no.iloc[0]\n",
" bp = cmatch[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_B)].phase_no.iloc[0]\n",
" # 직진과 좌회전이 같은 현시에 있는 경우에만 (inc_edge_id, out_edge_id)를 부여한다.\n",
" if ap == bp:\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_A), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_B), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" elif condition == '보행신호시':\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_A), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_B), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" # 이동류번호가 17(보행신호)이면서 유턴노드방향으로 가는 신호가 없으면 (inc_edge_id, out_edge_id)를 부여한다.\n",
" cmatch.loc[(cmatch.move_no==17) & (cmatch.out_dir!=direction), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" else:\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_A), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_B), ['inc_edge', 'out_edge']] = [inc_edge_id, out_edge_id]\n",
" # 유턴신호의 이동류번호를 19로 부여한다.\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_A), 'move_no'] = 19\n",
" cmatch.loc[(cmatch.inc_dir==inc_dire) & (cmatch.out_dir==out_dire_B), 'move_no'] = 19\n",
" display(cmatch)\n",
" cmatches.append(cmatch)\n",
"\n",
"# 각 child coordination node에 대하여 (inc_edge_id, out_edge_id) 부여\n",
"coord['inter_no'] = coord['parent_id'].map(node2inter)\n",
"coord = coord.rename(columns={'child_id':'node_id'})\n",
"coord[['inc_dir', 'out_dir', 'inc_angle','out_angle']] = np.nan\n",
"coord['move_no'] = 20\n",
"coord = coord[['inter_no', 'phase_no', 'ring_type', 'move_no', 'inc_dir', 'out_dir', 'inc_angle','out_angle', 'inc_edge', 'out_edge', 'node_id']]\n",
"# display(coord)\n",
"cmatches = pd.concat(cmatches)\n",
"display(coord)\n",
"match6 = pd.concat([match5, cmatches, coord]).drop_duplicates().sort_values(by=['inter_no', 'node_id', 'phase_no', 'ring_type'])\n",
"# with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
"display(match6)"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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" 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>inter_no</th>\n",
" <th>move_no</th>\n",
" <th>inc_dir</th>\n",
" <th>out_dir</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" <th>node_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>571545870_02</td>\n",
" <td>571542797_02</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>175</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>571510153_02</td>\n",
" <td>571545870_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>-571542797_02</td>\n",
" <td>571510153_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>175</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>-571500487_01</td>\n",
" <td>571542797_02</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>175</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>571510153_02</td>\n",
" <td>571500487_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>210</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>571500585_02</td>\n",
" <td>571511538_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>210</td>\n",
" <td>21</td>\n",
" <td>북</td>\n",
" <td>서</td>\n",
" <td>571511538_02.121</td>\n",
" <td>571500535_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>210</td>\n",
" <td>21</td>\n",
" <td>서</td>\n",
" <td>남</td>\n",
" <td>571500535_02.18</td>\n",
" <td>571500585_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>210</td>\n",
" <td>21</td>\n",
" <td>남</td>\n",
" <td>동</td>\n",
" <td>571500585_02</td>\n",
" <td>571542115_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>210</td>\n",
" <td>21</td>\n",
" <td>동</td>\n",
" <td>북</td>\n",
" <td>-571542115_01</td>\n",
" <td>571511538_01</td>\n",
" <td>i6</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>74 rows × 7 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no move_no inc_dir out_dir inc_edge out_edge node_id\n",
"0 175 1 동 남 571545870_02 571542797_02 i0\n",
"1 175 2 서 동 571510153_02 571545870_01 i0\n",
"2 175 3 남 서 -571542797_02 571510153_01 i0\n",
"3 175 4 북 남 -571500487_01 571542797_02 i0\n",
"4 175 5 서 북 571510153_02 571500487_01 i0\n",
".. ... ... ... ... ... ... ...\n",
"69 210 8 남 북 571500585_02 571511538_01 i6\n",
"70 210 21 북 서 571511538_02.121 571500535_01 i6\n",
"71 210 21 서 남 571500535_02.18 571500585_01 i6\n",
"72 210 21 남 동 571500585_02 571542115_01 i6\n",
"73 210 21 동 북 -571542115_01 571511538_01 i6\n",
"\n",
"[74 rows x 7 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# 이동류 매칭\n",
"# 각 교차로에 대하여, 가능한 모든 이동류(1~18, 21)에 대한 진입·진출엣지ID를 지정한다.\n",
"# 모든 이동류에 대해 지정하므로, 시차제시 이전과 다른 이동류가 등장하더라도 항상 진입·진출 엣지 ID를 지정할 수 있다.\n",
"match7 = match6.copy()\n",
"match7 = match7[['inter_no', 'move_no', 'inc_dir', 'out_dir', 'inc_edge', 'out_edge', 'node_id']]\n",
"\n",
"parent_ids = sorted(inter_node[inter_node.inter_type=='parent'].node_id.unique())\n",
"child_ids = sorted(inter_node[inter_node.inter_type=='child'].node_id.unique())\n",
"\n",
"# (1) 가능한 (진입방향, 진출방향) 목록\n",
"flows = nema.dropna().apply(lambda row: (row['inc_dir'], row['out_dir']), axis=1).tolist()\n",
"# (2) 각 교차로별 방향 목록 : pdires (possible directions)\n",
"pdires = {}\n",
"for node_id in parent_ids:\n",
" dires = match7[match7.node_id == node_id][['inc_dir','out_dir']].values.flatten()\n",
" dires = {dire for dire in dires if type(dire)==str}\n",
" pdires[node_id] = dires\n",
"# (3) 각 (교차로, 진입방향) 별 진입id 목록 : inc2id (incoming direction to incoming edge_id)\n",
"inc2id = {}\n",
"for node_id in parent_ids:\n",
" for inc_dir in pdires[node_id]:\n",
" df = match7[(match7.node_id==node_id) & (match7.inc_dir==inc_dir)]\n",
" inc2id[(node_id, inc_dir)] = df.inc_edge.iloc[0]\n",
"# (4) 각 (교차로, 진출방향) 별 진출id 목록 : out2id (outgoing direction to outgoing edge_id)\n",
"out2id = {}\n",
"for node_id in parent_ids:\n",
" for out_dir in pdires[node_id]:\n",
" df = match7[(match7.node_id==node_id) & (match7.out_dir==out_dir)]\n",
" out2id[(node_id, out_dir)] = df.out_edge.iloc[0]\n",
"# (5) 각 교차로별 가능한 (진입방향, 진출방향) 목록 : pflow (possible flows)\n",
"pflow = {}\n",
"for node_id in parent_ids:\n",
" pflow[node_id] = [flow for flow in flows if set(flow).issubset(pdires[node_id])]\n",
"# (6) 가능한 이동류에 대하여 진입id, 진출id 배정 : matching\n",
"node2inter = dict(zip(match7['node_id'], match7['inter_no']))\n",
"dires_right = ['북', '서', '남', '동', '북'] # ex (북, 서), (서, 남) 등은 우회전 flow\n",
"matching = []\n",
"for node_id in parent_ids:\n",
" inter_no = node2inter[node_id]\n",
" # 좌회전과 직진(1 ~ 16)\n",
" for (inc_dir, out_dir) in pflow[node_id]:\n",
" move_no = nema[(nema.inc_dir==inc_dir) & (nema.out_dir==out_dir)].move_no.iloc[0]\n",
" inc_edge = inc2id[(node_id, inc_dir)]\n",
" out_edge = out2id[(node_id, out_dir)]\n",
" new_row = pd.DataFrame({'inter_no':[inter_no], 'move_no':[move_no],\n",
" 'inc_dir':[inc_dir], 'out_dir':[out_dir],\n",
" 'inc_edge':[inc_edge], 'out_edge':[out_edge], 'node_id':[node_id]})\n",
" matching.append(new_row)\n",
" # 보행신호(17), 전적색(18)\n",
" new_row = pd.DataFrame({'inter_no':[inter_no] * 2, 'move_no':[17, 18],\n",
" 'inc_dir':[None]*2, 'out_dir':[None]*2,\n",
" 'inc_edge':[None]*2, 'out_edge':[None]*2, 'node_id':[node_id]*2})\n",
" matching.append(new_row)\n",
" # 신호우회전(21)\n",
" for d in range(len(dires_right)-1):\n",
" inc_dir = dires_right[d]\n",
" out_dir = dires_right[d+1]\n",
" if {inc_dir, out_dir}.issubset(pdires[node_id]):\n",
" inc_edge = inc2id[(node_id, inc_dir)]\n",
" out_edge = out2id[(node_id, out_dir)]\n",
" new_row = pd.DataFrame({'inter_no':[inter_no], 'move_no':[21],\n",
" 'inc_dir':[inc_dir], 'out_dir':[out_dir],\n",
" 'inc_edge':[inc_edge], 'out_edge':[out_edge], 'node_id':[node_id]})\n",
" matching.append(new_row)\n",
"matching.append(match7[match7.node_id.isin(child_ids)])\n",
"matching = pd.concat(matching)\n",
"matching = matching.dropna().sort_values(by=['inter_no', 'node_id', 'move_no']).reset_index(drop=True)\n",
"matching['move_no'] = matching['move_no'].astype(int)\n",
"display(matching)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# B. 5초 간격으로 이동류번호 수집"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" 0%| | 0/17280 [00:00<?, ?it/s]"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|██████████| 17280/17280 [02:16<00:00, 126.70it/s]\n"
]
}
],
"source": [
"# 5초 단위로 이동류번호 저장 및 신호이력에서 유닉스시각 가져와서 표시, 한시간동안의 데이터만 보관\n",
"midnight = int(datetime(2024, 1, 5, 0, 0, 0).timestamp())\n",
"next_day = int(datetime(2024, 1, 6, 0, 0, 0).timestamp())\n",
"fsecs = range(midnight, next_day, 5) # fsecs : unix time by Five SECondS\n",
"fmins = range(midnight, next_day, 300) # fmins : unix time by Five MINuteS\n",
"# time2move = dict(zip(fsecs,moves)) # move : 어느 순간의 이동류정보\n",
"history = pd.read_csv('../../Data/tables/history.csv', index_col=0)\n",
"\n",
"time2movement = {} # movement : 어느 순간의, 그 순간으로부터 한시간 동안의 (교차로번호 + 현시별이동류번호 + 시작시간)\n",
"# - 아래 절차를 5초마다 반복\n",
"for fsec in tqdm(fsecs): # fsec : unix time by Five SECond\n",
" # 1. 상태 테이블 조회해서 전체 데이터중 필요데이터(교차로번호, A링 현시번호, A링 이동류번호, B링 현시번호, B링 이동류번호)만 수집 : A\n",
" # move = time2move[fsec]\n",
" move = pd.read_csv(f'../../Data/tables/moves/move_{fsec}.csv', index_col=0)\n",
" # 2. 이력 테이블 조회해서 교차로별로 유닉스시간 최대인 데이터(교차로변호, 종료유닉스타임)만 수집 : B\n",
" recent_histories = [group.iloc[-1:] for _, group in history[history['end_unix'] < fsec].groupby('inter_no')] # 교차로별로 유닉스시간이 최대인 행들\n",
" if not recent_histories:\n",
" rhistory = pd.DataFrame({'inter_no':[], 'end_unix':[]}) # recent history\n",
" else:\n",
" rhistory = pd.concat(recent_histories)\n",
" recent_unix = rhistory[['inter_no', 'end_unix']]\n",
" # 3. 상태 테이블 조회정보(A)와 이력 테이블 조회정보(B) 조인(키값 : 교차로번호) : C\n",
" move = pd.merge(move, recent_unix, how='left', on='inter_no')\n",
" move['end_unix'] = move['end_unix'].fillna(0).astype(int)\n",
" move = move.drop_duplicates()\n",
" # 4. C데이터 프레임에 신규 컬럼(시작 유닉스타임) 생성 후 종료유닉스 타임 값 입력, 종료 유닉스 타임 컬럼 제거\n",
" move = move.rename(columns = {'end_unix':'start_unix'})\n",
" # 5. 이동류 이력정보 READ\n",
" # - CSV 파일로 서버에 저장된 이동류정보를 읽어옴(파일이 없는 경우에는 데이터가 없는 프레임 D 생성)\n",
" try:\n",
" if isinstance(movement, pd.DataFrame): # movement가 존재할 경우 그걸 그대로 씀.\n",
" pass\n",
" else: \n",
" movement = pd.DataFrame()\n",
" except NameError: # movement가 존재하지 않는 경우 생성\n",
" movement = pd.DataFrame()\n",
" # 6. 이동류 이력정보 데이터테이블(D)에 C데이터 add\n",
" movement = pd.concat([movement, move])\n",
" # 7. D데이터 프레임에서 중복데이터 제거(교차로번호, 시작 유닉스타임, A링 현시번호, B링 현시번호 같은 행은 제거)\n",
" movement = movement.drop_duplicates(['inter_no','phas_A','phas_B','start_unix'])\n",
" # 8. D데이터 보관 시간 기준시간을 시작 유닉스 타임의 최대값 - 3600을 값으로 산출하고, 보관 시간 기준시간보다 작은 시작 유닉스 타임을 가진 행은 모두 제거(1시간 데이터만 보관)\n",
" movement = movement[movement.start_unix > fsec - 3600]\n",
" movement = movement.sort_values(by=['start_unix','inter_no','phas_A','phas_B']).reset_index(drop=True)\n",
"\n",
" time2movement[fsec] = movement\n",
" movement.to_csv(f'../../Data/tables/movements/movements_{fsec}.csv')\n",
"\n",
"# 각 movement들의 길이 시각화\n",
"import matplotlib.pyplot as plt\n",
"plt.plot(fsecs, [len(time2movement[fsec]) for fsec in fsecs])\n",
"plt.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# C. 5분 간격으로 신호이력 수집 및 통합테이블 생성"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [],
"source": [
"plan = pd.read_csv('../../Data/tables/plan.csv', index_col=0)\n",
"history = pd.read_csv('../../Data/tables/history.csv', index_col=0)\n",
"# plan은 A, B가 통합된 형식으로 history는 분리된 형식으로 표시되었음."
]
},
{
"cell_type": "code",
"execution_count": 109,
"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>start_hour</th>\n",
" <th>start_minute</th>\n",
" <th>start_seconds</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1704380400</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>1704405600</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" <td>1704412800</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>18</td>\n",
" <td>30</td>\n",
" <td>1704447000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" start_hour start_minute start_seconds\n",
"0 0 0 1704380400\n",
"1 7 0 1704405600\n",
"2 9 0 1704412800\n",
"3 18 30 1704447000"
]
},
"execution_count": 109,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# split, isplit : A,B 분리 혹은 통합시 사용될 수 있는 딕셔너리\n",
"splits = {} # splits maps (inter_no, start_hour, start_minute) to split\n",
"for i, row in plan.iterrows():\n",
" inter_no = row.inter_no\n",
" start_hour = row.start_hour\n",
" start_minute = row.start_minute\n",
" cycle = row.cycle\n",
" cums_A = row[[f'dura_A{j}' for j in range(1,9)]].cumsum()\n",
" cums_B = row[[f'dura_B{j}' for j in range(1,9)]].cumsum()\n",
" splits[(inter_no, start_hour, start_minute)] = {} # split maps (phas_A, phas_B) to k\n",
" k = 0\n",
" for t in range(cycle):\n",
" new_phas_A = len(cums_A[cums_A < t]) + 1\n",
" new_phas_B = len(cums_B[cums_B < t]) + 1\n",
" if k == 0 or ((new_phas_A, new_phas_B) != (phas_A, phas_B)):\n",
" k += 1\n",
" phas_A = new_phas_A\n",
" phas_B = new_phas_B\n",
" splits[(inter_no, start_hour, start_minute)][(phas_A, phas_B)] = k\n",
"\n",
"isplits = {} # the inverse of splits\n",
"for i in splits:\n",
" isplits[i] = {splits[i][k]:k for k in splits[i]} # isplit maps k to (phas_A, phas_B)\n",
"\n",
"# timetable\n",
"timetable = plan[['start_hour', 'start_minute']].drop_duplicates()\n",
"timetable['start_seconds'] = midnight + timetable['start_hour'] * 3600 + timetable['start_minute'] * 60\n",
"timetable"
]
},
{
"cell_type": "code",
"execution_count": 170,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'i0': 175,\n",
" 'u00': 175,\n",
" 'i1': 176,\n",
" 'i2': 177,\n",
" 'u20': 177,\n",
" 'c30': 178,\n",
" 'i3': 178,\n",
" 'u30': 178,\n",
" 'u31': 178,\n",
" 'u32': 178,\n",
" 'i8': 201,\n",
" 'i9': 202,\n",
" 'i7': 206,\n",
" 'i6': 210,\n",
" 'u60': 210}"
]
},
"execution_count": 170,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"node2inter"
]
},
{
"cell_type": "code",
"execution_count": 186,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-01-05 02:30:00\n"
]
}
],
"source": [
"m = 30\n",
"fmins = range(midnight, next_day, 300) # fmins : unix time by Five MINuteS\n",
"present_time = fmins[m] # 현재시점\n",
"print(datetime.fromtimestamp(present_time))\n",
"\n",
"Rhists = [] # Recent history (1시간 이내)\n",
"for inter_no in history.inter_no.unique():\n",
" # - 5분마다 신호이력 데이터 수집해서 통합테이블 생성할때\n",
" # 1. 조회시점의 유닉스 타임을 기준으로 신호이력의 유닉스 타임이 1시간 이내인(Rhist) 데이터 수집\n",
" rhistory = history.copy() # recent history (3시간 이내 : 1시간 이내의 이력에 대한 전처리를 위해 3시간 이내 데이터가 필요함)\n",
" rhistory = rhistory[(rhistory.end_unix < present_time) & (rhistory.end_unix >= present_time - 10800)]\n",
" hours = np.array(range(midnight, next_day + 1, 3600))\n",
" rhist = rhistory.copy()[rhistory.inter_no == inter_no] # 특정한 inter_no\n",
" rhist = rhist.reset_index(drop=True)\n",
" new_rows = []\n",
" # 1-1. 결측치 처리 : 인접한 두 end_unix의 차이가 계획된 주기의 두 배보다 크면 결측이 일어났다고 판단\n",
" for n in range(len(rhist) - 1):\n",
" curr_unix = rhist.iloc[n].end_unix # current end_unix\n",
" next_unix = rhist.iloc[n+1].end_unix # next end_unix\n",
" cycle = rhist.iloc[n].cycle\n",
" if next_unix - curr_unix >= 2 * cycle:\n",
" # 현재 unix를 계획된 주기만큼 늘려가면서 한 행씩 채워나간다.\n",
" #(다음 unix와의 차이가 계획된 주기보다 작거나 같아질 때까지)\n",
" while next_unix - curr_unix > cycle:\n",
" curr_unix += cycle\n",
" start_seconds = np.array(timetable.start_seconds)\n",
" idx = (start_seconds <= curr_unix).sum() - 1\n",
" start_hour = timetable.iloc[idx].start_hour\n",
" start_minute = timetable.iloc[idx].start_minute\n",
" prow = plan[(plan.inter_no==inter_no) & (plan.start_hour==start_hour) & (plan.start_minute==start_minute)] # planned row\n",
" prow = prow.drop(['start_hour', 'start_minute'], axis=1)\n",
" prow['end_unix'] = curr_unix\n",
" cycle = prow.iloc[0].cycle\n",
" new_rows.append(prow)\n",
" rhist = pd.concat([rhist] + new_rows).sort_values(['end_unix'])\n",
" rhist = rhist.reset_index(drop=True)\n",
"\n",
" # 1-2. 이상치 처리 : 기준유닉스로부터의 시간차이와 현시시간합이 11 이상 차이나면 이상치가 발생했다고 판단\n",
" Rhist = rhist.copy() # recent history 1704393231\n",
" Rhist = Rhist[(Rhist.end_unix < present_time) & (Rhist.end_unix >= present_time - 3600)] # Recent history (1시간 이내)\n",
" Rhist = Rhist.reset_index(drop=True)\n",
" Rhist['D_n'] = 0\n",
" Rhist['S_n'] = 0\n",
" for n in range(len(Rhist)):\n",
" curr_unix = Rhist.iloc[n].end_unix # current end_unix\n",
" cycle = Rhist.iloc[n].cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" # S_n : 현시시간합\n",
" S_n = ddurations.values.sum() // 2\n",
" Rhist.loc[n, ['D_n', 'S_n']] = [D_n, S_n]\n",
" n = 1\n",
" while n < len(Rhist):\n",
" prev_unix = Rhist[Rhist.index==n-1]['end_unix'].iloc[0] # previous end_unix\n",
" curr_unix = Rhist[Rhist.index==n]['end_unix'].iloc[0] # current end_unix\n",
" R_n = (curr_unix - prev_unix) / cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" # S_n : 현시시간합\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" S_n = ddurations.values.sum() // 2\n",
" # 비율이 0.5보다 작거나 같으면 해당 행을 삭제\n",
" if (abs(D_n - S_n) > 10) & (R_n <= 0.5):\n",
" # print(\"lt\", inter_no, curr_unix, round(R_n,2), D_n, S_n)\n",
" # display(Rhist.iloc[n])\n",
" Rhist = Rhist.drop(index=n)\n",
" n += 1\n",
" # 행삭제에 따른 curr_unix, D_n, S_n 등 재정의\n",
" if not Rhist[Rhist.index==n]['end_unix'].empty: # 마지막 행을 삭제하여 뒤의 행이 없을 때를 대비\n",
" curr_unix = Rhist[Rhist.index==n]['end_unix'].iloc[0] # current end_unix\n",
" R_n = (curr_unix - prev_unix) / cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" # S_n : 현시시간합\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" S_n = ddurations.values.sum() // 2\n",
" # 비율이 0.5보다 크면 해당 행 조정 (비율을 유지한 채로 현시시간 대체)\n",
" if (abs(D_n - S_n) > 10) & (R_n > 0.5):\n",
" start_seconds = np.array(timetable.start_seconds)\n",
" idx = (start_seconds <= curr_unix).sum() - 1\n",
" start_hour = timetable.iloc[idx].start_hour\n",
" start_minute = timetable.iloc[idx].start_minute\n",
" prow = plan[(plan.inter_no==inter_no) & (plan.start_hour==start_hour) & (plan.start_minute==start_minute)].copy().reset_index(drop=True).iloc[0] # planned row\n",
" adjusted_dur = prow[[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]] * R_n\n",
" # 조정된 현시시간을 정수로 바꿈\n",
" int_parts = adjusted_dur.apply(lambda x: int(x))\n",
" frac_parts = adjusted_dur - int_parts\n",
" difference = int(round(adjusted_dur.sum())) - int_parts.sum()\n",
" # 소수 부분이 가장 큰 상위 'difference'개의 값에 대해 올림 처리\n",
" for _ in range(difference):\n",
" max_frac_index = frac_parts.idxmax()\n",
" int_parts[max_frac_index] += 1\n",
" frac_parts[max_frac_index] = 0 # 이미 처리된 항목은 0으로 설정\n",
" Rhist.loc[n, [f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]] = int_parts.values\n",
" Rhist.loc[n, 'cycle'] = int_parts.sum() // 2\n",
" # print(\"gt\", inter_no, curr_unix, round(R_n,2), D_n, S_n)\n",
" n += 1\n",
" Rhist = Rhist.drop(columns=['offset', 'D_n', 'S_n'])\n",
" Rhists.append(Rhist)\n",
"Rhists = pd.concat(Rhists)\n",
"Rhists['node_id'] = Rhists['inter_no'].map(inter2node)\n",
"Rhists = Rhists[['node_id'] + list(Rhists.columns[1:-1])]\n",
"Rhists = Rhists.sort_values(by=['end_unix', 'node_id']).reset_index(drop=True)"
]
},
{
"cell_type": "code",
"execution_count": 242,
"metadata": {},
"outputs": [
{
"data": {
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" </tr>\n",
" </tbody>\n",
"</table>\n",
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"</div>"
],
"text/plain": [
" node_id end_unix dura_A1 dura_A2 dura_A3 dura_A4 dura_A5 dura_A6 \\\n",
"0 i1 1704385800 37 73 40 0 0 0 \n",
"1 i2 1704385800 36 20 68 26 0 0 \n",
"2 i0 1704385840 37 39 55 29 0 0 \n",
"3 i7 1704385840 33 35 26 26 0 0 \n",
"4 i3 1704385860 38 39 40 23 0 0 \n",
".. ... ... ... ... ... ... ... ... \n",
"197 i7 1704389320 33 35 26 26 0 0 \n",
"198 i0 1704389360 37 39 55 29 0 0 \n",
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"[202 rows x 19 columns]"
]
},
"execution_count": 242,
"metadata": {},
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}
],
"source": [
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]
},
{
"cell_type": "code",
"execution_count": 254,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>178</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>2</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>178</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u32</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 175 1 A 8 남 북 179 004 \n",
"1 175 1 B 4 북 남 003 176 \n",
"2 175 2 A 19 북 동 001 095 \n",
"3 175 2 B 3 남 서 179 270 \n",
"4 175 3 A 6 동 서 090 270 \n",
"5 175 3 B 1 동 남 090 180 \n",
"6 175 4 A 5 서 북 268 000 \n",
"7 175 4 B 2 서 동 270 090 \n",
"0 177 1 A 8 남 북 180 000 \n",
"1 177 1 B 4 북 남 001 176 \n",
"2 177 2 A 7 북 동 000 090 \n",
"3 177 2 B 3 남 서 179 270 \n",
"4 177 3 A 17 NaN NaN NaN NaN \n",
"5 177 3 B 18 NaN NaN NaN NaN \n",
"6 177 4 A 5 서 북 268 000 \n",
"7 177 4 B 1 동 남 090 180 \n",
"0 178 1 A 20 NaN NaN NaN NaN \n",
"1 178 1 B 20 NaN NaN NaN NaN \n",
"2 178 2 A 20 NaN NaN NaN NaN \n",
"3 178 2 B 20 NaN NaN NaN NaN \n",
"4 178 3 A 20 NaN NaN NaN NaN \n",
"5 178 3 B 20 NaN NaN NaN NaN \n",
"6 178 4 A 20 NaN NaN NaN NaN \n",
"7 178 4 B 20 NaN NaN NaN NaN \n",
"0 178 1 A 8 남 북 180 000 \n",
"1 178 1 B 4 북 남 000 180 \n",
"2 178 2 A 7 북 동 000 090 \n",
"3 178 2 B 3 남 서 180 270 \n",
"4 178 3 A 5 서 북 270 000 \n",
"5 178 3 B 2 서 동 270 090 \n",
"6 178 4 A 19 동 서 090 270 \n",
"7 178 4 B 1 동 남 090 180 \n",
"0 178 1 A 19 남 북 180 000 \n",
"1 178 1 B 4 북 남 000 180 \n",
"2 178 2 A 7 북 동 000 090 \n",
"3 178 2 B 3 남 서 180 270 \n",
"4 178 3 A 5 서 북 270 000 \n",
"5 178 3 B 2 서 동 270 090 \n",
"6 178 4 A 6 동 서 090 270 \n",
"7 178 4 B 1 동 남 090 180 \n",
"0 178 1 A 8 남 북 180 000 \n",
"1 178 1 B 19 북 남 000 180 \n",
"2 178 2 A 7 북 동 000 090 \n",
"3 178 2 B 3 남 서 180 270 \n",
"4 178 3 A 5 서 북 270 000 \n",
"5 178 3 B 2 서 동 270 090 \n",
"6 178 4 A 6 동 서 090 270 \n",
"7 178 4 B 1 동 남 090 180 \n",
"\n",
" inc_edge out_edge node_id \n",
"0 NaN NaN u00 \n",
"1 NaN NaN u00 \n",
"2 571500487_02 571500487_01.32 u00 \n",
"3 NaN NaN u00 \n",
"4 NaN NaN u00 \n",
"5 NaN NaN u00 \n",
"6 NaN NaN u00 \n",
"7 NaN NaN u00 \n",
"0 NaN NaN u20 \n",
"1 NaN NaN u20 \n",
"2 NaN NaN u20 \n",
"3 NaN NaN u20 \n",
"4 571542810_01.51 571542810_02 u20 \n",
"5 NaN NaN u20 \n",
"6 NaN NaN u20 \n",
"7 NaN NaN u20 \n",
"0 NaN NaN c30 \n",
"1 NaN NaN c30 \n",
"2 571542116_01 -571542116_02.96 c30 \n",
"3 571542116_02.96 571542116_02.164 c30 \n",
"4 571542116_01 -571542116_02.96 c30 \n",
"5 571542116_02.96 571542116_02.164 c30 \n",
"6 571542116_01 -571542116_02.96 c30 \n",
"7 571542116_02.96 571542116_02.164 c30 \n",
"0 NaN NaN u30 \n",
"1 NaN NaN u30 \n",
"2 NaN NaN u30 \n",
"3 NaN NaN u30 \n",
"4 NaN NaN u30 \n",
"5 NaN NaN u30 \n",
"6 571556452_01 571556452_02 u30 \n",
"7 NaN NaN u30 \n",
"0 571500475_02 571500475_01.26 u31 \n",
"1 NaN NaN u31 \n",
"2 NaN NaN u31 \n",
"3 NaN NaN u31 \n",
"4 NaN NaN u31 \n",
"5 NaN NaN u31 \n",
"6 NaN NaN u31 \n",
"7 NaN NaN u31 \n",
"0 NaN NaN u32 \n",
"1 571540303_02 -571540303_02 u32 \n",
"2 NaN NaN u32 \n",
"3 NaN NaN u32 \n",
"4 NaN NaN u32 \n",
"5 NaN NaN u32 \n",
"6 NaN NaN u32 \n",
"7 NaN NaN u32 "
]
},
"execution_count": 254,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"child_ids = inter_node[inter_node.inter_type == 'child'].node_id.unique()\n",
"print(child_ids)\n",
"# match6[match6.node_id.isin(child_ids)].drop_duplicates(subset=['inc_edge', 'out_edge'])\n",
"match6[match6.node_id.isin(child_ids)]#.dropna(subset=['inc_edge', 'out_edge'])\n",
"#match6[match6.node_id=='c30']"
]
},
{
"cell_type": "code",
"execution_count": 243,
"metadata": {},
"outputs": [
{
"data": {
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" 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>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" <th>inc_dir</th>\n",
" <th>out_dir</th>\n",
" <th>inc_angle</th>\n",
" <th>out_angle</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" <th>node_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>270</td>\n",
" <td>356</td>\n",
" <td>571543469_02</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542811_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
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" <td>001</td>\n",
" <td>176</td>\n",
" <td>571542811_02</td>\n",
" <td>571542809_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>000</td>\n",
" <td>090</td>\n",
" <td>571542811_02</td>\n",
" <td>571542107_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>177</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>179</td>\n",
" <td>270</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542809_01</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>i2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
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" <tr>\n",
" <th>21</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
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" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>177</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
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" <td>북</td>\n",
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" <td>u20</td>\n",
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" <th>2</th>\n",
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" <td>북</td>\n",
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" <tr>\n",
" <th>3</th>\n",
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" <td>NaN</td>\n",
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" <td>u20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>17</td>\n",
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>571542810_01.51</td>\n",
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" <tr>\n",
" <th>5</th>\n",
" <td>177</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>18</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>5</td>\n",
" <td>서</td>\n",
" <td>북</td>\n",
" <td>268</td>\n",
" <td>000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>177</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>1</td>\n",
" <td>동</td>\n",
" <td>남</td>\n",
" <td>090</td>\n",
" <td>180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>20</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>c30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>178</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>20</td>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>c30</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"12 176 3 A 5 서 북 270 356 \n",
"13 176 3 B 18 NaN NaN NaN NaN \n",
"14 177 1 A 8 남 북 180 000 \n",
"15 177 1 B 4 북 남 001 176 \n",
"16 177 2 A 7 북 동 000 090 \n",
"17 177 2 B 3 남 서 179 270 \n",
"18 177 3 A 17 NaN NaN NaN NaN \n",
"19 177 3 B 18 NaN NaN NaN NaN \n",
"20 177 4 A 5 서 북 268 000 \n",
"21 177 4 B 1 동 남 090 180 \n",
"0 177 1 A 8 남 북 180 000 \n",
"1 177 1 B 4 북 남 001 176 \n",
"2 177 2 A 7 북 동 000 090 \n",
"3 177 2 B 3 남 서 179 270 \n",
"4 177 3 A 17 NaN NaN NaN NaN \n",
"5 177 3 B 18 NaN NaN NaN NaN \n",
"6 177 4 A 5 서 북 268 000 \n",
"7 177 4 B 1 동 남 090 180 \n",
"0 178 1 A 20 NaN NaN NaN NaN \n",
"1 178 1 B 20 NaN NaN NaN NaN \n",
"\n",
" inc_edge out_edge node_id \n",
"12 571543469_02 -571542797_02.99 i1 \n",
"13 NaN NaN i1 \n",
"14 -571542809_01 571542811_01 i2 \n",
"15 571542811_02 571542809_01 i2 \n",
"16 571542811_02 571542107_01 i2 \n",
"17 -571542809_01 571542809_01 i2 \n",
"18 NaN NaN i2 \n",
"19 NaN NaN i2 \n",
"20 -571542809_01 571542811_01 i2 \n",
"21 571542107_02 571542809_01 i2 \n",
"0 NaN NaN u20 \n",
"1 NaN NaN u20 \n",
"2 NaN NaN u20 \n",
"3 NaN NaN u20 \n",
"4 571542810_01.51 571542810_02 u20 \n",
"5 NaN NaN u20 \n",
"6 NaN NaN u20 \n",
"7 NaN NaN u20 \n",
"0 NaN NaN c30 \n",
"1 NaN NaN c30 "
]
},
"execution_count": 243,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match6[20:40]"
]
},
{
"cell_type": "code",
"execution_count": 237,
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
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" <th></th>\n",
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" <th>dura_B7</th>\n",
" <th>dura_B8</th>\n",
" <th>cycle</th>\n",
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" <th>0</th>\n",
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" node_id end_unix dura_A1 dura_A2 dura_A3 dura_A4 dura_A5 dura_A6 \\\n",
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"[202 rows x 19 columns]"
]
},
"execution_count": 237,
"metadata": {},
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}
],
"source": [
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{
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"execution_count": 236,
"metadata": {},
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{
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" node_id end_unix dura_A1 dura_A2 dura_A3 dura_A4 dura_A5 dura_A6 \\\n",
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{
"cell_type": "code",
"execution_count": 225,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'u00'"
]
},
"execution_count": 225,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parent_id = 'i0'\n",
"child_ids = pa2ch[parent_id]\n",
"child_ids\n",
"child_id = child_ids[0]\n",
"child_id"
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},
{
"cell_type": "code",
"execution_count": 229,
"metadata": {},
"outputs": [
{
"data": {
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"source": [
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{
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" }\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>inter_no</th>\n",
" <th>phase_no</th>\n",
" <th>ring_type</th>\n",
" <th>move_no</th>\n",
" <th>inc_dir</th>\n",
" <th>out_dir</th>\n",
" <th>inc_angle</th>\n",
" <th>out_angle</th>\n",
" <th>inc_edge</th>\n",
" <th>out_edge</th>\n",
" <th>node_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>179</td>\n",
" <td>004</td>\n",
" <td>-571542797_02</td>\n",
" <td>571500487_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>175</td>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>003</td>\n",
" <td>176</td>\n",
" <td>-571500487_01</td>\n",
" <td>571542797_02</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>175</td>\n",
" <td>2</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>001</td>\n",
" <td>095</td>\n",
" <td>-571500487_01</td>\n",
" <td>571545870_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>175</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>179</td>\n",
" <td>270</td>\n",
" <td>-571542797_02</td>\n",
" <td>571510153_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>175</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>6</td>\n",
" <td>동</td>\n",
" <td>서</td>\n",
" <td>090</td>\n",
" <td>270</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_01</td>\n",
" <td>i0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>210</td>\n",
" <td>2</td>\n",
" <td>B</td>\n",
" <td>19</td>\n",
" <td>서</td>\n",
" <td>동</td>\n",
" <td>270</td>\n",
" <td>090</td>\n",
" <td>571500535_02</td>\n",
" <td>-571500535_02</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>A</td>\n",
" <td>7</td>\n",
" <td>북</td>\n",
" <td>동</td>\n",
" <td>359</td>\n",
" <td>090</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>210</td>\n",
" <td>3</td>\n",
" <td>B</td>\n",
" <td>4</td>\n",
" <td>북</td>\n",
" <td>남</td>\n",
" <td>000</td>\n",
" <td>180</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>A</td>\n",
" <td>8</td>\n",
" <td>남</td>\n",
" <td>북</td>\n",
" <td>180</td>\n",
" <td>000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>210</td>\n",
" <td>4</td>\n",
" <td>B</td>\n",
" <td>3</td>\n",
" <td>남</td>\n",
" <td>서</td>\n",
" <td>180</td>\n",
" <td>270</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>u60</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>116 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" inter_no phase_no ring_type move_no inc_dir out_dir inc_angle out_angle \\\n",
"0 175 1 A 8 남 북 179 004 \n",
"1 175 1 B 4 북 남 003 176 \n",
"2 175 2 A 7 북 동 001 095 \n",
"3 175 2 B 3 남 서 179 270 \n",
"4 175 3 A 6 동 서 090 270 \n",
".. ... ... ... ... ... ... ... ... \n",
"3 210 2 B 19 서 동 270 090 \n",
"4 210 3 A 7 북 동 359 090 \n",
"5 210 3 B 4 북 남 000 180 \n",
"6 210 4 A 8 남 북 180 000 \n",
"7 210 4 B 3 남 서 180 270 \n",
"\n",
" inc_edge out_edge node_id \n",
"0 -571542797_02 571500487_01 i0 \n",
"1 -571500487_01 571542797_02 i0 \n",
"2 -571500487_01 571545870_01 i0 \n",
"3 -571542797_02 571510153_01 i0 \n",
"4 571545870_02 571510153_01 i0 \n",
".. ... ... ... \n",
"3 571500535_02 -571500535_02 u60 \n",
"4 NaN NaN u60 \n",
"5 NaN NaN u60 \n",
"6 NaN NaN u60 \n",
"7 NaN NaN u60 \n",
"\n",
"[116 rows x 11 columns]"
]
},
"execution_count": 235,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"match6"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [],
"source": [
"def make_rhistory(m:int):\n",
" '''\n",
" input : m\n",
" - m ranges from 0 to 287, but 0 makes an error where 288 = 86400//300\n",
" - present_time = fmins[m] : 현재시점\n",
" output : rhistory\n",
" - recent history\n",
" - 현재시각(present_time) 이전 1시간 동안의 신호이력에 대하여 결측치 및 이상치를 처리한 결과\n",
" - 교차로번호(inter_no), 종료유닉스(end_unix), 현시시간(dur_Aj, dur_Bj), 주기(cycle), 옵셋(offset)\n",
" '''\n",
" fmins = range(midnight, next_day, 300) # fmins : unix time by Five MINuteS\n",
" present_time = fmins[m] # 현재시점\n",
" print(datetime.fromtimestamp(present_time))\n",
"\n",
" Rhists = [] # Recent history (1시간 이내)\n",
" for inter_no in history.inter_no.unique():\n",
" # - 5분마다 신호이력 데이터 수집해서 통합테이블 생성할때\n",
" # 1. 조회시점의 유닉스 타임을 기준으로 신호이력의 유닉스 타임이 1시간 이내인(Rhist) 데이터 수집\n",
" rhistory = history.copy() # recent history (3시간 이내 : 1시간 이내의 이력에 대한 전처리를 위해 3시간 이내 데이터가 필요함)\n",
" rhistory = rhistory[(rhistory.end_unix < present_time) & (rhistory.end_unix >= present_time - 10800)]\n",
" hours = np.array(range(midnight, next_day + 1, 3600))\n",
" rhist = rhistory.copy()[rhistory.inter_no == inter_no] # 특정한 inter_no\n",
" rhist = rhist.reset_index(drop=True)\n",
" new_rows = []\n",
" # 1-1. 결측치 처리 : 인접한 두 end_unix의 차이가 계획된 주기의 두 배보다 크면 결측이 일어났다고 판단\n",
" for n in range(len(rhist) - 1):\n",
" curr_unix = rhist.iloc[n].end_unix # current end_unix\n",
" next_unix = rhist.iloc[n+1].end_unix # next end_unix\n",
" cycle = rhist.iloc[n].cycle\n",
" if next_unix - curr_unix >= 2 * cycle:\n",
" # 현재 unix를 계획된 주기만큼 늘려가면서 한 행씩 채워나간다.\n",
" #(다음 unix와의 차이가 계획된 주기보다 작거나 같아질 때까지)\n",
" while next_unix - curr_unix > cycle:\n",
" curr_unix += cycle\n",
" start_seconds = np.array(timetable.start_seconds)\n",
" idx = (start_seconds <= curr_unix).sum() - 1\n",
" start_hour = timetable.iloc[idx].start_hour\n",
" start_minute = timetable.iloc[idx].start_minute\n",
" prow = plan[(plan.inter_no==inter_no) & (plan.start_hour==start_hour) & (plan.start_minute==start_minute)] # planned row\n",
" prow = prow.drop(['start_hour', 'start_minute'], axis=1)\n",
" prow['end_unix'] = curr_unix\n",
" cycle = prow.iloc[0].cycle\n",
" new_rows.append(prow)\n",
" rhist = pd.concat([rhist] + new_rows).sort_values(['end_unix'])\n",
" rhist = rhist.reset_index(drop=True)\n",
"\n",
" # 1-2. 이상치 처리 : 기준유닉스로부터의 시간차이와 현시시간합이 11 이상 차이나면 이상치가 발생했다고 판단\n",
" Rhist = rhist.copy() # recent history 1704393231\n",
" Rhist = Rhist[(Rhist.end_unix < present_time) & (Rhist.end_unix >= present_time - 3600)] # Recent history (1시간 이내)\n",
" Rhist = Rhist.reset_index(drop=True)\n",
" Rhist['D_n'] = 0\n",
" Rhist['S_n'] = 0\n",
" for n in range(len(Rhist)):\n",
" curr_unix = Rhist.iloc[n].end_unix # current end_unix\n",
" cycle = Rhist.iloc[n].cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" # S_n : 현시시간합\n",
" S_n = ddurations.values.sum() // 2\n",
" Rhist.loc[n, ['D_n', 'S_n']] = [D_n, S_n]\n",
" n = 1\n",
" while n < len(Rhist):\n",
" prev_unix = Rhist[Rhist.index==n-1]['end_unix'].iloc[0] # previous end_unix\n",
" curr_unix = Rhist[Rhist.index==n]['end_unix'].iloc[0] # current end_unix\n",
" R_n = (curr_unix - prev_unix) / cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" # S_n : 현시시간합\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" S_n = ddurations.values.sum() // 2\n",
" # 비율이 0.5보다 작거나 같으면 해당 행을 삭제\n",
" if (abs(D_n - S_n) > 10) & (R_n <= 0.5):\n",
" # print(\"lt\", inter_no, curr_unix, round(R_n,2), D_n, S_n)\n",
" # display(Rhist.iloc[n])\n",
" Rhist = Rhist.drop(index=n)\n",
" n += 1\n",
" # 행삭제에 따른 curr_unix, D_n, S_n 등 재정의\n",
" if not Rhist[Rhist.index==n]['end_unix'].empty: # 마지막 행을 삭제하여 뒤의 행이 없을 때를 대비\n",
" curr_unix = Rhist[Rhist.index==n]['end_unix'].iloc[0] # current end_unix\n",
" R_n = (curr_unix - prev_unix) / cycle\n",
" ghour_lt_curr_unix = hours[hours < curr_unix].max() # the greatest hour less than curr_unix\n",
" end_unixes = rhist.end_unix.unique()\n",
" end_unixes_lt_ghour = np.sort(end_unixes[end_unixes < ghour_lt_curr_unix]) # end unixes less than ghour_lt_end_unix\n",
" base_unix = end_unixes_lt_ghour[-5] # 기준유닉스 : curr_unix보다 작은 hour 중에서 가장 큰 값으로부터 다섯 번째로 작은 end_unix\n",
" # D_n : 시간차이\n",
" D_n = curr_unix - base_unix\n",
" # S_n : 현시시간합\n",
" ddurations = rhist[(rhist.end_unix > base_unix) & (rhist.end_unix <= curr_unix)][[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]]\n",
" S_n = ddurations.values.sum() // 2\n",
" # 비율이 0.5보다 크면 해당 행 조정 (비율을 유지한 채로 현시시간 대체)\n",
" if (abs(D_n - S_n) > 10) & (R_n > 0.5):\n",
" start_seconds = np.array(timetable.start_seconds)\n",
" idx = (start_seconds <= curr_unix).sum() - 1\n",
" start_hour = timetable.iloc[idx].start_hour\n",
" start_minute = timetable.iloc[idx].start_minute\n",
" prow = plan[(plan.inter_no==inter_no) & (plan.start_hour==start_hour) & (plan.start_minute==start_minute)].copy().reset_index(drop=True).iloc[0] # planned row\n",
" adjusted_dur = prow[[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]] * R_n\n",
" # 조정된 현시시간을 정수로 바꿈\n",
" int_parts = adjusted_dur.apply(lambda x: int(x))\n",
" frac_parts = adjusted_dur - int_parts\n",
" difference = int(round(adjusted_dur.sum())) - int_parts.sum()\n",
" # 소수 부분이 가장 큰 상위 'difference'개의 값에 대해 올림 처리\n",
" for _ in range(difference):\n",
" max_frac_index = frac_parts.idxmax()\n",
" int_parts[max_frac_index] += 1\n",
" frac_parts[max_frac_index] = 0 # 이미 처리된 항목은 0으로 설정\n",
" Rhist.loc[n, [f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]] = int_parts.values\n",
" Rhist.loc[n, 'cycle'] = int_parts.sum() // 2\n",
" # print(\"gt\", inter_no, curr_unix, round(R_n,2), D_n, S_n)\n",
" n += 1\n",
" Rhist = Rhist.drop(columns=['offset', 'D_n', 'S_n'])\n",
" Rhists.append(Rhist)\n",
" Rhists = pd.concat(Rhists)\n",
" Rhists = Rhists.sort_values(by=['end_unix', 'inter_no']).reset_index(drop=True)\n",
" return Rhists"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-01-05 03:20:00\n",
"2024-01-05 03:19:51\n",
"2024-01-05 02:20:00\n"
]
}
],
"source": [
"rhistory = make_rhistory(40)\n",
"print(datetime.fromtimestamp(rhistory.end_unix.max()))\n",
"print(datetime.fromtimestamp(rhistory.end_unix.min()))"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [],
"source": [
"def make_histid(m):\n",
" fmins = range(midnight, next_day, 300) # fmins : unix time by Five MINuteS\n",
" present_time = fmins[m]\n",
" rhistory = make_rhistory(m)\n",
" # 2. 시작 유닉스 타임컬럼 생성 후 종류 유닉스 타임에서 현시별 현시기간 컬럼의 합을 뺀 값으로 입력\n",
" # - 현시시간의 합을 뺀 시간의 +- 10초 이내에 이전 주기정보가 존재하면 그 유닉스 시간을 시작 유닉스시간 값으로 하고, 존재하지 않으면 현시시간의 합을 뺀 유닉스 시간을 시작 유닉스 시간으로 지정\n",
" for i, row in rhistory.iterrows():\n",
" # 이전 유닉스 존재하지 않음 => 현시시간 합의 차\n",
" # 이전 유닉스 존재, abs < 10 => 이전 유닉스\n",
" # 이전 유닉스 존재, abs >=10 => 현시시간 합의 차\n",
" inter_no = row.inter_no\n",
" end_unix = row.end_unix\n",
" elapsed_time = row[[f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)]].sum() // 2 # 현시시간 합\n",
" start_unix = end_unix - elapsed_time\n",
" pre_rows = history[:i] # previous rows\n",
" if inter_no in pre_rows.inter_no.unique(): # 이전 유닉스 존재\n",
" pre_unix = pre_rows[pre_rows.inter_no == inter_no]['end_unix'].iloc[-1] # previous unix time\n",
" if abs(pre_unix - start_unix) < 10: # abs < 10\n",
" start_unix = pre_unix\n",
" else: # abs >= 10\n",
" pass\n",
" rhistory.loc[i, 'start_unix'] = start_unix\n",
" rhistory[rhistory.isna()] = 0\n",
" rhistory['start_unix'] = rhistory['start_unix'].astype(int)\n",
" # # with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
" # # display(rhistory)\n",
" rhistory = rhistory[['inter_no', 'start_unix'] + [f'dura_{alph}{j}' for alph in ['A', 'B'] for j in range(1,9)] + ['cycle']]\n",
"\n",
" # 계층화된 형태로 변환\n",
" hrhistory = [] # hierarchied recent history\n",
" for i, row in rhistory.iterrows():\n",
" inter_no = row.inter_no\n",
" start_unix = row.start_unix\n",
"\n",
" ind = (timetable['start_seconds'] <= row.start_unix).sum() - 1\n",
" start_hour = timetable.iloc[ind].start_hour\n",
" start_minute = timetable.iloc[ind].start_minute\n",
" isplit = isplits[(inter_no, start_hour, start_minute)]\n",
" phas_As = [isplit[j][0] for j in isplit.keys()]\n",
" phas_Bs = [isplit[j][1] for j in isplit.keys()]\n",
" durs_A = row[[f'dura_A{j}' for j in range(1,9)]]\n",
" durs_B = row[[f'dura_B{j}' for j in range(1,9)]]\n",
" cums_A = durs_A.cumsum()\n",
" cums_B = durs_B.cumsum()\n",
" cycle = durs_A.sum()\n",
" cums = np.unique(np.concatenate((cums_A,cums_B)))\n",
" durations = np.concatenate(([cums[0]], np.diff(cums)))\n",
" new_rows = pd.DataFrame({'inter_no':[inter_no] * len(durations), 'start_unix':[start_unix] * len(durations),\n",
" 'phas_A':phas_As, 'phas_B':phas_Bs, 'duration':durations})\n",
" hrhistory.append(new_rows)\n",
" hrhistory = pd.concat(hrhistory)\n",
" hrhistory = hrhistory.sort_values(by = ['start_unix', 'inter_no', 'phas_A', 'phas_B']).reset_index(drop=True)\n",
"\n",
" # 5초단위로 수집한 이동류정보(time2movement[present_time])와 최근 1시간 신호이력(hrhistory)을 병합\n",
" movedur = pd.merge(time2movement[present_time], hrhistory, how='inner', on=['inter_no', 'start_unix', 'phas_A', 'phas_B']) # movements and durations\n",
" movedur = movedur.sort_values(by=['start_unix', 'inter_no', 'phas_A','phas_B'])\n",
" movedur = movedur[['inter_no', 'start_unix', 'phas_A', 'phas_B', 'move_A', 'move_B', 'duration']]\n",
" # 이동류 매칭 테이블에서 진입id, 진출id를 가져와서 붙임.\n",
" for i, row in movedur.iterrows():\n",
" inter_no = row.inter_no\n",
" start_unix = row.start_unix\n",
" move_A = row.move_A\n",
" move_B = row.move_B\n",
" if move_A in [17, 18]:\n",
" inc_edge_A = np.nan\n",
" out_edge_A = np.nan\n",
" elif move_B in [17, 18]:\n",
" inc_edge_B = np.nan\n",
" out_edge_B = np.nan\n",
" else:\n",
" match_A = matching[(matching.inter_no == inter_no) & (matching.move_no == move_A)].iloc[0]\n",
" match_B = matching[(matching.inter_no == inter_no) & (matching.move_no == move_B)].iloc[0]\n",
" inc_edge_A = match_A.inc_edge\n",
" inc_edge_B = match_B.inc_edge\n",
" out_edge_A = match_A.out_edge\n",
" out_edge_B = match_B.out_edge\n",
" movedur.loc[i, ['inc_edge_A', 'inc_edge_B', 'out_edge_A', 'out_edge_B']] = [inc_edge_A, inc_edge_B, out_edge_A, out_edge_B]\n",
" # 이동류 컬럼 제거\n",
" movedur = movedur.drop(['move_A', 'move_B'], axis=1)\n",
"\n",
" histid = movedur.copy() # history with edge ids (incoming and outgoing edge ids)\n",
" return histid"
]
},
{
"cell_type": "code",
"execution_count": 265,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-01-05 13:20:00\n"
]
},
{
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],
"text/plain": [
" inter_no start_unix phas_A phas_B duration inc_edge_A \\\n",
"0 177 1704424880 1 1 43 -571542809_01 \n",
"1 177 1704424880 2 2 27 571542811_02 \n",
"2 177 1704424880 3 3 70 NaN \n",
"3 177 1704424880 4 4 40 -571542809_01 \n",
"4 201 1704424880 1 1 33 -571500569_01 \n",
".. ... ... ... ... ... ... \n",
"448 206 1704428200 2 2 53 NaN \n",
"449 206 1704428200 3 3 26 -571511538_02 \n",
"450 206 1704428200 4 4 26 NaN \n",
"451 202 1704428230 1 1 46 571510152_02 \n",
"452 202 1704428230 2 2 114 NaN \n",
"\n",
" inc_edge_B out_edge_A out_edge_B \n",
"0 571542811_02 571542811_01 571542809_01 \n",
"1 -571542809_01 571542107_01 571542809_01 \n",
"2 -571542809_01 NaN 571542809_01 \n",
"3 571542107_02 571542811_01 571542809_01 \n",
"4 -571500569_01 571500583_02 571500618_01 \n",
".. ... ... ... \n",
"448 571542073_01 NaN 571511538_02 \n",
"449 571542073_01 571542073_02 571511538_02 \n",
"450 571542073_01 NaN 571511538_02 \n",
"451 571510152_01 -571510152_01 571510152_01.65 \n",
"452 571510152_01 NaN 571510152_01.65 \n",
"\n",
"[453 rows x 9 columns]"
]
},
"execution_count": 265,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"make_histid(160)"
]
},
{
"cell_type": "code",
"execution_count": 159,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-01-05 04:10:00\n",
"2024-01-05 04:10:00\n",
"2024-01-05 04:00:20\n",
"2024-01-05 04:07:20\n",
"[175, 176, 177, 178, 201, 202, 206, 210]\n",
"[175, 176, 177, 178, 201, 202, 206, 210]\n"
]
},
{
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],
"text/plain": [
" inter_no start_unix phas_A phas_B duration inc_edge_A \\\n",
"440 175 1704394960 1 1 37 -571542797_02 \n",
"441 175 1704394960 2 2 39 -571500487_01 \n",
"442 175 1704394960 3 3 25 571545870_02 \n",
"443 175 1704394960 3 4 30 571545870_02 \n",
"444 175 1704394960 4 4 29 571510153_02 \n",
".. ... ... ... ... ... ... \n",
"496 210 1704395210 1 1 24 NaN \n",
"497 210 1704395210 1 2 19 -571542115_01 \n",
"498 210 1704395210 2 2 29 571500535_02.18 \n",
"499 210 1704395210 3 3 56 571511538_02.121 \n",
"500 210 1704395210 4 4 22 571500585_02 \n",
"\n",
" inc_edge_B out_edge_A out_edge_B start_dt \n",
"440 -571500487_01 571500487_01 571542797_02 2024-01-05 04:02:40 \n",
"441 -571542797_02 571545870_01 571510153_01 2024-01-05 04:02:40 \n",
"442 571545870_02 571510153_01 571542797_02 2024-01-05 04:02:40 \n",
"443 571510153_02 571510153_01 571545870_01 2024-01-05 04:02:40 \n",
"444 571510153_02 571500487_01 571545870_01 2024-01-05 04:02:40 \n",
".. ... ... ... ... \n",
"496 NaN NaN NaN 2024-01-05 04:06:50 \n",
"497 571500535_02.18 571500535_01 571542115_01 2024-01-05 04:06:50 \n",
"498 571500535_02.18 571511538_01 571542115_01 2024-01-05 04:06:50 \n",
"499 571511538_02.121 571542115_01 571500585_01 2024-01-05 04:06:50 \n",
"500 571500585_02 571511538_01 571500535_01 2024-01-05 04:06:50 \n",
"\n",
"[88 rows x 10 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"m = 50\n",
"rhistory = make_rhistory(m)\n",
"histid = make_histid(m)\n",
"histid = histid[histid.start_unix > fmins[m] - 600]\n",
"print(datetime.fromtimestamp(histid.start_unix.min()))\n",
"print(datetime.fromtimestamp(histid.start_unix.max()))\n",
"histid = histid.sort_values(by=['inter_no', 'start_unix', 'phas_A'])\n",
"histid['start_dt'] = histid['start_unix'].map(lambda x:datetime.fromtimestamp(x))\n",
"# histid = histid[['inter_no', 'start_dt', 'phas_A', 'phas_B', 'duration', 'inc_edge_A', 'inc_edge_B', 'out_edge_A', 'out_edge_B']]\n",
"print(sorted(histid.inter_no.unique()))\n",
"print(sorted(rhistory.inter_no.unique()))\n",
"display(histid)"
]
},
{
"cell_type": "code",
"execution_count": 261,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2024-01-05 04:00:20\n",
"2024-01-05 04:07:20\n"
]
},
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" <td>-571500487_01</td>\n",
" <td>-571542797_02</td>\n",
" <td>571545870_01</td>\n",
" <td>571510153_01</td>\n",
" <td>2024-01-05 04:02:40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>442</th>\n",
" <td>175</td>\n",
" <td>1704394960</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>25</td>\n",
" <td>571545870_02</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_01</td>\n",
" <td>571542797_02</td>\n",
" <td>2024-01-05 04:02:40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>443</th>\n",
" <td>175</td>\n",
" <td>1704394960</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>30</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_02</td>\n",
" <td>571510153_01</td>\n",
" <td>571545870_01</td>\n",
" <td>2024-01-05 04:02:40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>444</th>\n",
" <td>175</td>\n",
" <td>1704394960</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>29</td>\n",
" <td>571510153_02</td>\n",
" <td>571510153_02</td>\n",
" <td>571500487_01</td>\n",
" <td>571545870_01</td>\n",
" <td>2024-01-05 04:02:40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>483</th>\n",
" <td>175</td>\n",
" <td>1704395120</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>37</td>\n",
" <td>-571542797_02</td>\n",
" <td>-571500487_01</td>\n",
" <td>571500487_01</td>\n",
" <td>571542797_02</td>\n",
" <td>2024-01-05 04:05:20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>484</th>\n",
" <td>175</td>\n",
" <td>1704395120</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>39</td>\n",
" <td>-571500487_01</td>\n",
" <td>-571542797_02</td>\n",
" <td>571545870_01</td>\n",
" <td>571510153_01</td>\n",
" <td>2024-01-05 04:05:20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>485</th>\n",
" <td>175</td>\n",
" <td>1704395120</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>25</td>\n",
" <td>571545870_02</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_01</td>\n",
" <td>571542797_02</td>\n",
" <td>2024-01-05 04:05:20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>486</th>\n",
" <td>175</td>\n",
" <td>1704395120</td>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>30</td>\n",
" <td>571545870_02</td>\n",
" <td>571510153_02</td>\n",
" <td>571510153_01</td>\n",
" <td>571545870_01</td>\n",
" <td>2024-01-05 04:05:20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>487</th>\n",
" <td>175</td>\n",
" <td>1704395120</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>29</td>\n",
" <td>571510153_02</td>\n",
" <td>571510153_02</td>\n",
" <td>571500487_01</td>\n",
" <td>571545870_01</td>\n",
" <td>2024-01-05 04:05:20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>429</th>\n",
" <td>176</td>\n",
" <td>1704394950</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>37</td>\n",
" <td>-571542810_01</td>\n",
" <td>571542797_02.99</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>571542810_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>430</th>\n",
" <td>176</td>\n",
" <td>1704394950</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>73</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>571543469_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>431</th>\n",
" <td>176</td>\n",
" <td>1704394950</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>40</td>\n",
" <td>-571542810_01</td>\n",
" <td>NaN</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>NaN</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>469</th>\n",
" <td>176</td>\n",
" <td>1704395100</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>37</td>\n",
" <td>-571542810_01</td>\n",
" <td>571542797_02.99</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>571542810_01</td>\n",
" <td>2024-01-05 04:05:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>470</th>\n",
" <td>176</td>\n",
" <td>1704395100</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>73</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542810_01</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>571543469_01</td>\n",
" <td>2024-01-05 04:05:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>471</th>\n",
" <td>176</td>\n",
" <td>1704395100</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>40</td>\n",
" <td>-571542810_01</td>\n",
" <td>NaN</td>\n",
" <td>-571542797_02.99</td>\n",
" <td>NaN</td>\n",
" <td>2024-01-05 04:05:00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>432</th>\n",
" <td>177</td>\n",
" <td>1704394950</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>36</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542811_02</td>\n",
" <td>571542811_01</td>\n",
" <td>571542809_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>433</th>\n",
" <td>177</td>\n",
" <td>1704394950</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>20</td>\n",
" <td>571542811_02</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542107_01</td>\n",
" <td>571542809_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>434</th>\n",
" <td>177</td>\n",
" <td>1704394950</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>68</td>\n",
" <td>NaN</td>\n",
" <td>-571542809_01</td>\n",
" <td>NaN</td>\n",
" <td>571542809_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>435</th>\n",
" <td>177</td>\n",
" <td>1704394950</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>26</td>\n",
" <td>-571542809_01</td>\n",
" <td>571542107_02</td>\n",
" <td>571542811_01</td>\n",
" <td>571542809_01</td>\n",
" <td>2024-01-05 04:02:30</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" inter_no start_unix phas_A phas_B duration inc_edge_A \\\n",
"440 175 1704394960 1 1 37 -571542797_02 \n",
"441 175 1704394960 2 2 39 -571500487_01 \n",
"442 175 1704394960 3 3 25 571545870_02 \n",
"443 175 1704394960 3 4 30 571545870_02 \n",
"444 175 1704394960 4 4 29 571510153_02 \n",
"483 175 1704395120 1 1 37 -571542797_02 \n",
"484 175 1704395120 2 2 39 -571500487_01 \n",
"485 175 1704395120 3 3 25 571545870_02 \n",
"486 175 1704395120 3 4 30 571545870_02 \n",
"487 175 1704395120 4 4 29 571510153_02 \n",
"429 176 1704394950 1 1 37 -571542810_01 \n",
"430 176 1704394950 2 2 73 -571542810_01 \n",
"431 176 1704394950 3 3 40 -571542810_01 \n",
"469 176 1704395100 1 1 37 -571542810_01 \n",
"470 176 1704395100 2 2 73 -571542810_01 \n",
"471 176 1704395100 3 3 40 -571542810_01 \n",
"432 177 1704394950 1 1 36 -571542809_01 \n",
"433 177 1704394950 2 2 20 571542811_02 \n",
"434 177 1704394950 3 3 68 NaN \n",
"435 177 1704394950 4 4 26 -571542809_01 \n",
"\n",
" inc_edge_B out_edge_A out_edge_B start_dt \n",
"440 -571500487_01 571500487_01 571542797_02 2024-01-05 04:02:40 \n",
"441 -571542797_02 571545870_01 571510153_01 2024-01-05 04:02:40 \n",
"442 571545870_02 571510153_01 571542797_02 2024-01-05 04:02:40 \n",
"443 571510153_02 571510153_01 571545870_01 2024-01-05 04:02:40 \n",
"444 571510153_02 571500487_01 571545870_01 2024-01-05 04:02:40 \n",
"483 -571500487_01 571500487_01 571542797_02 2024-01-05 04:05:20 \n",
"484 -571542797_02 571545870_01 571510153_01 2024-01-05 04:05:20 \n",
"485 571545870_02 571510153_01 571542797_02 2024-01-05 04:05:20 \n",
"486 571510153_02 571510153_01 571545870_01 2024-01-05 04:05:20 \n",
"487 571510153_02 571500487_01 571545870_01 2024-01-05 04:05:20 \n",
"429 571542797_02.99 -571542797_02.99 571542810_01 2024-01-05 04:02:30 \n",
"430 -571542810_01 -571542797_02.99 571543469_01 2024-01-05 04:02:30 \n",
"431 NaN -571542797_02.99 NaN 2024-01-05 04:02:30 \n",
"469 571542797_02.99 -571542797_02.99 571542810_01 2024-01-05 04:05:00 \n",
"470 -571542810_01 -571542797_02.99 571543469_01 2024-01-05 04:05:00 \n",
"471 NaN -571542797_02.99 NaN 2024-01-05 04:05:00 \n",
"432 571542811_02 571542811_01 571542809_01 2024-01-05 04:02:30 \n",
"433 -571542809_01 571542107_01 571542809_01 2024-01-05 04:02:30 \n",
"434 -571542809_01 NaN 571542809_01 2024-01-05 04:02:30 \n",
"435 571542107_02 571542811_01 571542809_01 2024-01-05 04:02:30 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(datetime.fromtimestamp(histid.start_unix.min()))\n",
"print(datetime.fromtimestamp(histid.start_unix.max()))\n",
"display(histid[:20])"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "rts",
"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
}