import argparse
import pandas as pd
import json
import sys
from progress_bar import InitBar as ib
from datetime import datetime as dt
import datetime
import os

parser=argparse.ArgumentParser()
parser.add_argument("-d","--dataset",
                    help="Path of dataset. default: extra/sample_data.csv",
                    default="extra/data.csv/train.csv")
parser.add_argument("-o","--output",
                    help="Path of output. default: sample/dbscan/DBSCAN_XX_YY.txt",
                    default="./sample/")
parser.add_argument("-s","--start",
                    help="Start interval : H/d/m/y",
                    )
parser.add_argument("-e","--end",
                    help="End interval : H/d/m/y"
                    )

args = parser.parse_args()
print("Parsing datas ...")
datas_brute = pd.read_csv(args.dataset,converters={'TRIP_ID':lambda x: x[-8:]+"_"+x,'TIMESTAMP':lambda x: dt.fromtimestamp(int(x))})
datas = datas_brute.loc[(datas_brute['TIMESTAMP'] >= dt.strptime(args.start,'%H/%d/%m/%Y')) & (datas_brute['TIMESTAMP'] < dt.strptime(args.end,'%H/%d/%m/%Y'))].loc[datas_brute['MISSING_DATA'] == False]
# print(datas.head())
# with pb.ProgressBar(max_value=datas.shape[0]) as bar:
pbar = ib()
print("Datarow building ...")
for i,row in datas.iterrows():
    pbar(i/datas.shape[0])
    g = open("./meta/inputTID.txt","a")
    print(row['TRIP_ID'],file=g)
    g.close()
    cpt = 0
    for i,point in enumerate(json.loads(row['POLYLINE'])):
        if(i%4 == 0):
            key = "DBScan"+(row['TIMESTAMP']+datetime.timedelta(seconds=60*cpt)).strftime('_%H_%M')+".txt"
            cpt += 1
            f = open(args.output+key,"a")
            print(row['TRIP_ID']+" "+str(point[1])+" "+str(point[0]),file=f)
            f.close()
del pbar

6e00b0c255007815d882d03c04eb7cdafa209bde
<mask token>

<mask token>
parser.add_argument('-d', '--dataset', help=
    'Path of dataset. default: extra/sample_data.csv', default=
    'extra/data.csv/train.csv')
parser.add_argument('-o', '--output', help=
    'Path of output. default: sample/dbscan/DBSCAN_XX_YY.txt', default=
    './sample/')
parser.add_argument('-s', '--start', help='Start interval : H/d/m/y')
parser.add_argument('-e', '--end', help='End interval : H/d/m/y')
<mask token>
print('Parsing datas ...')
<mask token>
print('Datarow building ...')
for i, row in datas.iterrows():
    pbar(i / datas.shape[0])
    g = open('./meta/inputTID.txt', 'a')
    print(row['TRIP_ID'], file=g)
    g.close()
    cpt = 0
    for i, point in enumerate(json.loads(row['POLYLINE'])):
        if i % 4 == 0:
            key = 'DBScan' + (row['TIMESTAMP'] + datetime.timedelta(seconds
                =60 * cpt)).strftime('_%H_%M') + '.txt'
            cpt += 1
            f = open(args.output + key, 'a')
            print(row['TRIP_ID'] + ' ' + str(point[1]) + ' ' + str(point[0]
                ), file=f)
            f.close()
del pbar

<mask token>
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--dataset', help=
    'Path of dataset. default: extra/sample_data.csv', default=
    'extra/data.csv/train.csv')
parser.add_argument('-o', '--output', help=
    'Path of output. default: sample/dbscan/DBSCAN_XX_YY.txt', default=
    './sample/')
parser.add_argument('-s', '--start', help='Start interval : H/d/m/y')
parser.add_argument('-e', '--end', help='End interval : H/d/m/y')
args = parser.parse_args()
print('Parsing datas ...')
datas_brute = pd.read_csv(args.dataset, converters={'TRIP_ID': lambda x: x[
    -8:] + '_' + x, 'TIMESTAMP': lambda x: dt.fromtimestamp(int(x))})
datas = datas_brute.loc[(datas_brute['TIMESTAMP'] >= dt.strptime(args.start,
    '%H/%d/%m/%Y')) & (datas_brute['TIMESTAMP'] < dt.strptime(args.end,
    '%H/%d/%m/%Y'))].loc[datas_brute['MISSING_DATA'] == False]
pbar = ib()
print('Datarow building ...')
for i, row in datas.iterrows():
    pbar(i / datas.shape[0])
    g = open('./meta/inputTID.txt', 'a')
    print(row['TRIP_ID'], file=g)
    g.close()
    cpt = 0
    for i, point in enumerate(json.loads(row['POLYLINE'])):
        if i % 4 == 0:
            key = 'DBScan' + (row['TIMESTAMP'] + datetime.timedelta(seconds
                =60 * cpt)).strftime('_%H_%M') + '.txt'
            cpt += 1
            f = open(args.output + key, 'a')
            print(row['TRIP_ID'] + ' ' + str(point[1]) + ' ' + str(point[0]
                ), file=f)
            f.close()
del pbar

import argparse
import pandas as pd
import json
import sys
from progress_bar import InitBar as ib
from datetime import datetime as dt
import datetime
import os
parser = argparse.ArgumentParser()
parser.add_argument('-d', '--dataset', help=
    'Path of dataset. default: extra/sample_data.csv', default=
    'extra/data.csv/train.csv')
parser.add_argument('-o', '--output', help=
    'Path of output. default: sample/dbscan/DBSCAN_XX_YY.txt', default=
    './sample/')
parser.add_argument('-s', '--start', help='Start interval : H/d/m/y')
parser.add_argument('-e', '--end', help='End interval : H/d/m/y')
args = parser.parse_args()
print('Parsing datas ...')
datas_brute = pd.read_csv(args.dataset, converters={'TRIP_ID': lambda x: x[
    -8:] + '_' + x, 'TIMESTAMP': lambda x: dt.fromtimestamp(int(x))})
datas = datas_brute.loc[(datas_brute['TIMESTAMP'] >= dt.strptime(args.start,
    '%H/%d/%m/%Y')) & (datas_brute['TIMESTAMP'] < dt.strptime(args.end,
    '%H/%d/%m/%Y'))].loc[datas_brute['MISSING_DATA'] == False]
pbar = ib()
print('Datarow building ...')
for i, row in datas.iterrows():
    pbar(i / datas.shape[0])
    g = open('./meta/inputTID.txt', 'a')
    print(row['TRIP_ID'], file=g)
    g.close()
    cpt = 0
    for i, point in enumerate(json.loads(row['POLYLINE'])):
        if i % 4 == 0:
            key = 'DBScan' + (row['TIMESTAMP'] + datetime.timedelta(seconds
                =60 * cpt)).strftime('_%H_%M') + '.txt'
            cpt += 1
            f = open(args.output + key, 'a')
            print(row['TRIP_ID'] + ' ' + str(point[1]) + ' ' + str(point[0]
                ), file=f)
            f.close()
del pbar

import argparse
import pandas as pd
import json
import sys
from progress_bar import InitBar as ib
from datetime import datetime as dt
import datetime
import os

parser=argparse.ArgumentParser()
parser.add_argument("-d","--dataset",
                    help="Path of dataset. default: extra/sample_data.csv",
                    default="extra/data.csv/train.csv")
parser.add_argument("-o","--output",
                    help="Path of output. default: sample/dbscan/DBSCAN_XX_YY.txt",
                    default="./sample/")
parser.add_argument("-s","--start",
                    help="Start interval : H/d/m/y",
                    )
parser.add_argument("-e","--end",
                    help="End interval : H/d/m/y"
                    )

args = parser.parse_args()
print("Parsing datas ...")
datas_brute = pd.read_csv(args.dataset,converters={'TRIP_ID':lambda x: x[-8:]+"_"+x,'TIMESTAMP':lambda x: dt.fromtimestamp(int(x))})
datas = datas_brute.loc[(datas_brute['TIMESTAMP'] >= dt.strptime(args.start,'%H/%d/%m/%Y')) & (datas_brute['TIMESTAMP'] < dt.strptime(args.end,'%H/%d/%m/%Y'))].loc[datas_brute['MISSING_DATA'] == False]
# print(datas.head())
# with pb.ProgressBar(max_value=datas.shape[0]) as bar:
pbar = ib()
print("Datarow building ...")
for i,row in datas.iterrows():
    pbar(i/datas.shape[0])
    g = open("./meta/inputTID.txt","a")
    print(row['TRIP_ID'],file=g)
    g.close()
    cpt = 0
    for i,point in enumerate(json.loads(row['POLYLINE'])):
        if(i%4 == 0):
            key = "DBScan"+(row['TIMESTAMP']+datetime.timedelta(seconds=60*cpt)).strftime('_%H_%M')+".txt"
            cpt += 1
            f = open(args.output+key,"a")
            print(row['TRIP_ID']+" "+str(point[1])+" "+str(point[0]),file=f)
            f.close()
del pbar
