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traffic_dataproc/nb_003_quantizing.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from math import floor, ceil"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"#1. Let's get the minimum and maximum times recorded here..."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"start_time = float('inf')\n",
"end_time = 0"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1404360000 1404922886\n",
"1404360000 1404922886\n",
"1404360000 1405378217\n",
"1404360000 1405378217\n",
"1404360000 1405601962\n",
"1404360000 1405601962\n",
"1404360000 1405601962\n",
"1404360000 1405778475\n",
"1404360000 1405778475\n",
"1404360000 1405778475\n",
"1404360000 1405827968\n",
"1404360000 1405827968\n"
]
}
],
"source": [
"for fn in [\"./data/od_part-m-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(12)]:\n",
" df = pd.read_pickle(fn)\n",
" start_time = min(start_time, min(df[\"ptime\"]))\n",
" end_time = max(end_time, max(df[\"ptime\"]))\n",
" start_time = min(start_time, min(df[\"dtime\"]))\n",
" end_time = max(end_time, max(df[\"dtime\"]))\n",
" \n",
" print(start_time, end_time)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1404360000 1405828798\n",
"1404360000 1405828798\n"
]
}
],
"source": [
"for fn in [\"./data/gps_part-r-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(2)]:\n",
" df = pd.read_pickle(fn)\n",
" start_time = min(start_time, min(df[\"time\"]))\n",
" end_time = max(end_time, max(df[\"time\"]))\n",
" \n",
" print(start_time, end_time)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1404360000\n",
"1405828798\n"
]
}
],
"source": [
"print(start_time)\n",
"print(end_time)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# 2. Now let's convert an arbitrary time to an array index!\n",
"def time_to_index(tt, st = 1404360000, divisor=60):\n",
" return floor((tt-st)/divisor)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"assert time_to_index(start_time) == 0\n",
"assert time_to_index(start_time + 59) == 0\n",
"assert time_to_index(start_time + 60) == 1\n",
"assert time_to_index(start_time + 61) == 1"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"24480\n"
]
}
],
"source": [
"NN = ceil((end_time - start_time)/60)\n",
"print(NN)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"# 3. RegionID-ifier!\n",
"from matplotlib import path\n",
"\n",
"def process_line(line):\n",
" # Not sure what these values are\n",
" val1 = line[0]\n",
" val2 = line[1]\n",
" polyline = [float(v) for v in line[2:]]\n",
" polyline = np.array(list(zip(polyline[0::2], polyline[1::2])))\n",
" return val1, val2, polyline \n",
"\n",
"with open(\"./DataForUConn/DecideRegion/area.txt\") as f:\n",
" area = [process_line(line.split(\",\")) for line in f.read().strip().split(\"\\n\")]\n",
"\n",
"#polypaths = [path.Path(line[2][1:]) for line in area]\n",
"polypaths = [path.Path(line[2]) for line in area]\n",
"\n",
"def point_to_rids(point, polypaths=polypaths, radius=0.0):\n",
" RIDs = []\n",
" for rid, polypath in enumerate(polypaths):\n",
" if polypath.contains_point(point, radius=radius):\n",
" RIDs.append(rid)\n",
" \n",
" return RIDs"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_pickle(\"./data/od_part-m-000.pkl\")\n",
"ppoint = (df[\"plon\"][0], df[\"plat\"][0])"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./data/od_part-m-000.pkl\n",
"ppoint 11 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 239 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 341 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 341 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 789 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 790 --> [181, 191]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 805 --> [31, 241]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1021 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1186 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1270 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1274 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 1275 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 1380 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"ppoint 4875 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 5491 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 5492 --> []\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 6562 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 7597 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"ppoint 7667 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 7811 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 7812 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 7846 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 7973 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8213 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 8292 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8406 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8484 --> [30, 134]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 8622 --> [255, 341]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8690 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9082 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 9190 --> [31, 133]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9209 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9430 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 9444 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9461 --> [331, 339]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9615 --> [251, 265]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 9754 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10007 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 10008 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10008 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10014 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 10015 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10441 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 10442 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10442 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10763 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10979 --> [256, 342]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11109 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11343 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 11343 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11454 --> [203, 276]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11520 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11600 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 11844 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11854 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 11939 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 12021 --> [283, 286]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 12025 --> [289, 309]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 12509 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 12698 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 12784 --> []\n",
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"dpoint 12784 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 12812 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 12956 --> [5, 6]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13164 --> [313, 324]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13258 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13464 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13732 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 13742 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 13831 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 14207 --> [185, 186]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 14395 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 14629 --> [179, 275]\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"ppoint 14879 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 14946 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"ppoint 15541 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"ppoint 16494 --> []\n",
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"ppoint 16830 --> []\n",
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"dpoint 16830 --> []\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 17375 --> []\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 59039 --> []\n",
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"dpoint 59210 --> []\n",
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"ppoint 59211 --> []\n",
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"dpoint 59211 --> []\n",
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"ppoint 59212 --> []\n",
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"dpoint 59212 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 59220 --> [255, 341]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 59254 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 59557 --> [340, 406]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 59618 --> [224, 227]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 59831 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 59846 --> [31, 133]\n",
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"dpoint 59860 --> []\n",
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"dpoint 59998 --> []\n",
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"ppoint 60027 --> []\n",
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"dpoint 60027 --> []\n",
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"ppoint 60075 --> []\n",
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"ppoint 60089 --> []\n",
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"ppoint 60138 --> []\n",
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"ppoint 60152 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 60492 --> [381, 453]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 60679 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 60679 --> []\n",
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"ppoint 60680 --> []\n",
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"dpoint 60681 --> []\n",
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"dpoint 60702 --> []\n",
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"dpoint 61284 --> [139, 240]\n",
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"ppoint 61365 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 61366 --> [19, 218]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 61564 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 61723 --> []\n",
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"ppoint 61835 --> [317, 319]\n",
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"dpoint 61962 --> []\n",
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"ppoint 62590 --> [182, 294]\n",
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"dpoint 62926 --> [220, 350]\n",
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"dpoint 63146 --> [313, 324]\n",
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"dpoint 63321 --> [281, 283]\n",
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"ppoint 63322 --> [281, 283]\n",
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"dpoint 63374 --> []\n",
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"ppoint 64075 --> [249, 250]\n",
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"ppoint 64410 --> [258, 343]\n",
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"dpoint 65887 --> [182, 294]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 65983 --> []\n",
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"ppoint 66027 --> [235, 238]\n",
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"dpoint 66229 --> []\n",
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"dpoint 66511 --> [389, 390]\n",
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"ppoint 66514 --> []\n",
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"dpoint 67014 --> [306, 310]\n",
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"ppoint 67022 --> [431, 436]\n",
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"ppoint 67169 --> [306, 310]\n",
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"dpoint 67322 --> []\n",
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"ppoint 67419 --> [305, 308]\n",
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"dpoint 67651 --> []\n",
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"dpoint 67739 --> []\n",
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"dpoint 67922 --> [267, 268]\n",
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"ppoint 67923 --> [267, 268]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 68070 --> [256, 342]\n",
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"ppoint 68141 --> [251, 265]\n",
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"ppoint 68212 --> []\n",
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"ppoint 68877 --> [331, 340]\n",
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"dpoint 69212 --> []\n",
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"ppoint 69532 --> [187, 305]\n",
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"dpoint 70133 --> [43, 196]\n",
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"ppoint 70193 --> []\n",
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"dpoint 70617 --> []\n",
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"ppoint 70680 --> [306, 310]\n",
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"ppoint 70693 --> []\n",
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"dpoint 70693 --> []\n",
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"dpoint 70750 --> []\n",
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"ppoint 70793 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71023 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 71024 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
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"./data/od_part-m-000.pkl\n",
"dpoint 71119 --> [226, 227]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71239 --> [31, 241]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71291 --> [139, 240]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71355 --> [203, 275]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71426 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 71427 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71596 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71623 --> [251, 265]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 71682 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 71858 --> [127, 130]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 72022 --> [306, 310]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 72093 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72094 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 72094 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72095 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72228 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 72228 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72428 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72434 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72597 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72736 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72743 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 72743 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72780 --> [31, 133]\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-28-b31f325d0aaa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mppoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mdpoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mppoint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"ppoint {ii} --> {point_to_rids(ppoint)}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<ipython-input-17-8b8331e1fde3>\u001b[0m in \u001b[0;36mpoint_to_rids\u001b[0;34m(point, polypaths, radius)\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mRIDs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 19\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mrid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpolypath\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpolypaths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mpolypath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains_point\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mradius\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 21\u001b[0m \u001b[0mRIDs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/matplotlib/path.py\u001b[0m in \u001b[0;36mcontains_point\u001b[0;34m(self, point, transform, radius)\u001b[0m\n\u001b[1;32m 467\u001b[0m \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 468\u001b[0m \u001b[0mtransform\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 469\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_path\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoint_in_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 470\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 471\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcontains_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# 3.1. Let's check that each lat-lon coordinate in each file corresponds to exactly ONE rid!\n",
"\n",
"for fn in [\"./data/od_part-m-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(12)]:\n",
" df = pd.read_pickle(fn)\n",
" for ii in range(len(df)):\n",
" ppoint = (df[\"plon\"][ii], df[\"plat\"][ii])\n",
" dpoint = (df[\"dlon\"][ii], df[\"dlat\"][ii])\n",
" if not len(point_to_rids(ppoint)) == 1:\n",
" print(fn)\n",
" print(f\"ppoint {ii} --> {point_to_rids(ppoint)}\")\n",
" if not len(point_to_rids(dpoint)) == 1:\n",
" print(fn)\n",
" print(f\"dpoint {ii} --> {point_to_rids(dpoint)}\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true,
"jupyter": {
"outputs_hidden": true
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./data/od_part-m-000.pkl\n",
"ppoint 0 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 2 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 3 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 5 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 6 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 10 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 14 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 16 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 16 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 25 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 28 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 29 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 29 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 30 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 31 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 34 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 36 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 37 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 38 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 39 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 41 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 42 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 42 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 43 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 44 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 45 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 46 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 46 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 47 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 47 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 48 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 48 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 49 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 49 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 50 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 50 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 51 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 52 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 53 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 54 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 55 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 56 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 56 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 57 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 58 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 63 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 63 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 64 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 66 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 67 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 67 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 68 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 68 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 71 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 73 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 74 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 77 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 78 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 81 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 81 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 82 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 85 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 86 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 87 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 88 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 92 --> []\n",
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"ppoint 97 --> []\n",
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"ppoint 98 --> []\n",
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"ppoint 100 --> []\n",
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"dpoint 101 --> []\n",
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"dpoint 103 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 104 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 106 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 110 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 112 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 117 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 118 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 120 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 120 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 121 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 121 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 125 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 128 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 129 --> []\n",
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"ppoint 131 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 132 --> []\n",
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"ppoint 133 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 134 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 135 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 136 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 137 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 138 --> []\n",
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"dpoint 140 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 141 --> []\n",
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"ppoint 142 --> []\n",
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"dpoint 142 --> []\n",
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"dpoint 143 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 144 --> []\n",
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"dpoint 144 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 154 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 154 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 156 --> []\n",
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"dpoint 157 --> []\n",
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"dpoint 160 --> []\n",
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"ppoint 161 --> []\n",
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"dpoint 165 --> []\n",
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"ppoint 166 --> []\n",
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"dpoint 166 --> []\n",
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"dpoint 167 --> []\n",
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"ppoint 168 --> []\n",
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"dpoint 171 --> []\n",
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"dpoint 172 --> []\n",
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"ppoint 176 --> []\n",
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"dpoint 176 --> []\n",
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"dpoint 178 --> []\n",
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"ppoint 184 --> []\n",
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"dpoint 188 --> []\n",
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"ppoint 189 --> []\n",
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"ppoint 195 --> []\n",
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"ppoint 204 --> []\n",
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]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-29-bbd39e32d4e3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mppoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0mdpoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mprids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mppoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 10\u001b[0m \u001b[0mdrids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprids\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<ipython-input-17-8b8331e1fde3>\u001b[0m in \u001b[0;36mpoint_to_rids\u001b[0;34m(point, polypaths, radius)\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mRIDs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 19\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mrid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpolypath\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpolypaths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 20\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mpolypath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains_point\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mradius\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 21\u001b[0m \u001b[0mRIDs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/matplotlib/path.py\u001b[0m in \u001b[0;36mcontains_point\u001b[0;34m(self, point, transform, radius)\u001b[0m\n\u001b[1;32m 467\u001b[0m \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 468\u001b[0m \u001b[0mtransform\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 469\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_path\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoint_in_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 470\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 471\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcontains_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/matplotlib/path.py\u001b[0m in \u001b[0;36msimplify_threshold\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 234\u001b[0m \u001b[0mbe\u001b[0m \u001b[0msimplified\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 235\u001b[0m \"\"\"\n\u001b[0;32m--> 236\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_simplify_threshold\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 237\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 238\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0msimplify_threshold\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# oh no -- appears to be a lot of empty points and a lot of overlaps!\n",
"# let's try again, with some radius.\n",
"\n",
"for fn in [\"./data/od_part-m-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(12)]:\n",
" df = pd.read_pickle(fn)\n",
" for ii in range(len(df)):\n",
" ppoint = (df[\"plon\"][ii], df[\"plat\"][ii])\n",
" dpoint = (df[\"dlon\"][ii], df[\"dlat\"][ii])\n",
" prids = point_to_rids(ppoint, radius=0.001)\n",
" drids = point_to_rids(dpoint, radius=0.001)\n",
" if not len(prids) >= 1:\n",
" print(fn)\n",
" print(f\"ppoint {ii} --> {prids}\")\n",
" if not len(drids) >= 1:\n",
" print(fn)\n",
" print(f\"dpoint {ii} --> {drids}\")"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./data/od_part-m-000.pkl\n",
"ppoint 11 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 239 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 341 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 341 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 789 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 790 --> [181, 191]\n",
"./data/od_part-m-000.pkl\n",
"ppoint 805 --> [31, 241]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1021 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1186 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1270 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1274 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 1275 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 1380 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 1438 --> [267, 268]\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1442 --> [263, 267]\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-31-216f057c890f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_pickle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mii\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mppoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0mdpoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mppoint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 2968\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2969\u001b[0m \u001b[0;31m# shortcut if the key is in columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2970\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2971\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2972\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36m__contains__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 4226\u001b[0m \"\"\"\n\u001b[1;32m 4227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4228\u001b[0;31m \u001b[0;34m@\u001b[0m\u001b[0mAppender\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_index_shared_docs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"contains\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0m_index_doc_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4229\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__contains__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4230\u001b[0m \u001b[0mhash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# hm. let's change polypaths to include that one line at the beginning, turn radius back to 0, and try...\n",
"for fn in [\"./data/od_part-m-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(12)]:\n",
" df = pd.read_pickle(fn)\n",
" for ii in range(len(df)):\n",
" ppoint = (df[\"plon\"][ii], df[\"plat\"][ii])\n",
" dpoint = (df[\"dlon\"][ii], df[\"dlat\"][ii])\n",
" if not len(point_to_rids(ppoint)) == 1:\n",
" print(fn)\n",
" print(f\"ppoint {ii} --> {point_to_rids(ppoint)}\")\n",
" if not len(point_to_rids(dpoint)) == 1:\n",
" print(fn)\n",
" print(f\"dpoint {ii} --> {point_to_rids(dpoint)}\")"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./data/od_part-m-000.pkl\n",
"ppoint 0 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 0 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 1 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 2 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 3 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 4 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 5 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 6 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 8 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 9 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 10 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 10 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 11 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 13 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 14 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 16 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 16 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 25 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 28 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 29 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 29 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 30 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 31 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 31 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 32 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 33 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 34 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 36 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 36 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 37 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 38 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 39 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 41 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 42 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 42 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 43 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 44 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 45 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 45 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 46 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 46 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 47 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 47 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 48 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 48 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 49 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 49 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 50 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 50 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 51 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 51 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 52 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 53 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 54 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 55 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 56 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 56 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 57 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 57 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 58 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 60 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 61 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 63 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 63 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 64 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 66 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 66 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 67 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 67 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 68 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 68 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 71 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 72 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 73 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 74 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 75 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 76 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 77 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 77 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 78 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 81 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 81 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 82 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 85 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 86 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 87 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 88 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 92 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 97 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 98 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 98 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 100 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 101 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 103 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 104 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 106 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 110 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 112 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 117 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 118 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 120 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 120 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 121 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 121 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 124 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 125 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 127 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 128 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 129 --> []\n",
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"ppoint 131 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 132 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 133 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 133 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 134 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 135 --> []\n",
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"ppoint 136 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 137 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 138 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 140 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 141 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 142 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 142 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 143 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 144 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 144 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 150 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 151 --> []\n",
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"ppoint 154 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 154 --> []\n",
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"ppoint 156 --> []\n",
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"dpoint 157 --> []\n",
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"dpoint 159 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 160 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 161 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 165 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 166 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 167 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 168 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 169 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 170 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 171 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 172 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 175 --> []\n",
"./data/od_part-m-000.pkl\n",
"ppoint 176 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 176 --> []\n",
"./data/od_part-m-000.pkl\n",
"dpoint 177 --> []\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-35-faede70f5f30>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mppoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"plat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mdpoint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlon\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dlat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mii\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mprids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mppoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mdrids\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpoint_to_rids\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.001\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprids\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m<ipython-input-30-33c81ea1a11c>\u001b[0m in \u001b[0;36mpoint_to_rids\u001b[0;34m(point, polypaths, radius)\u001b[0m\n\u001b[1;32m 19\u001b[0m \u001b[0mRIDs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mrid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpolypath\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpolypaths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mpolypath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains_point\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mradius\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 22\u001b[0m \u001b[0mRIDs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/envs/ds/lib/python3.7/site-packages/matplotlib/path.py\u001b[0m in \u001b[0;36mcontains_point\u001b[0;34m(self, point, transform, radius)\u001b[0m\n\u001b[1;32m 467\u001b[0m \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 468\u001b[0m \u001b[0mtransform\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 469\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_path\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoint_in_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoint\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 470\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 471\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mcontains_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mradius\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# retry again with radius=1...\n",
"polypaths = [path.Path(line[2][1:]) for line in area]\n",
"for fn in [\"./data/od_part-m-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(12)]:\n",
" df = pd.read_pickle(fn)\n",
" for ii in range(len(df)):\n",
" ppoint = (df[\"plon\"][ii], df[\"plat\"][ii])\n",
" dpoint = (df[\"dlon\"][ii], df[\"dlat\"][ii])\n",
" prids = point_to_rids(ppoint, radius=0.001)\n",
" drids = point_to_rids(dpoint, radius=0.001)\n",
" if not len(prids) >= 1:\n",
" print(fn)\n",
" print(f\"ppoint {ii} --> {prids}\")\n",
" if not len(drids) >= 1:\n",
" print(fn)\n",
" print(f\"dpoint {ii} --> {drids}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#cur_min_x = 113.735223\n",
"#cur_max_x = 114.649835\n",
"#cur_min_y = 22.426765\n",
"#cur_max_y = 22.845040"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"\n",
"for fn in [\"./data/gps_part-r-{x}.pkl\".format(x=str(x).rjust(3,\"0\")) for x in range(2)]:\n",
" df = pd.read_pickle(fn)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# TODO:\n",
"\n",
"# Redo this notebook, using the *shapely* package, which supposedly works a lot better!\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# 4. Start the math...\n",
"\n",
"# We want, indexed by timestamp [0..24480) and regionID [0,..491),\n",
"# 1. Number of occupied, vacant, low-battery, and charging vehicles,\n",
"# 2. Demand (number of pickups in that timeslot),\n",
"# 3. Supply (something hard to calculate -- we'll get the code for this!)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}