def main():
from get_busRuns import get_busRuns
from get_URIDs import get_URIDs
import pandas as pd
print("2mi ambulatory taxi")
print("cost: $" + str(taxi(47.602558, -122.142807, 47.631370, -122.142979, False)))
# $ 8.20
print("2mi wheelchair taxi")
print("cost: $" + str(taxi(47.602558, -122.142807, 47.631370, -122.142979, True)))
# $28.00
data = pd.read_csv("../data/single_day_TimeWindows.csv")
bus = "680SEB"
print("Run 680SEB after 15:21 4/14/14 on provider 5")
print("cost: $" + str(newBusRun(get_busRuns(data, bus, get_URIDs(data, bus, 53684)[1]), 5)))
# 187.4
print("Run 680SEB after 15:21 4/14/14 on provider 6")
print("cost: $" + str(newBusRun(get_busRuns(data, bus, get_URIDs(data, bus, 53684)[1]), 6)))
def main():
import pandas as pd
import numpy as np
from get_URIDs import get_URIDs
from add_TimeWindows import add_TimeWindows
data_filepath = "../data/single_day_TimeWindows.csv"
data_allday = pd.read_csv(data_filepath) #import one day's QC'ed data
# print(data_allday)
windowsz = 30 * 60 #Variable window size, in seconds
# newdata = add_TimeWindows(data_allday, windowsz)
# Bus = newdata.Run.iloc[50]
bus = '680SEB'
busRun = get_busRuns(data_allday, bus,
get_URIDs(data_allday, bus, 53684)[1])
print busRun