import csv

import haversine

with open('market_data.csv', 'rU') as market_data:

reader = csv.reader(market_data)

market_list = list(reader)

market_list = [map(float, i) for i in market_list]

with open('match_data.csv', 'rU') as match_data:

reader = csv.reader(match_data)

match_list = list(reader)

match_list = [map(float, i) for i in match_list]

#print market_list[0]

#print match_list

def distance(point1, point2):

start = ((point1[0], 0, 0), (point1[1], 0, 0))

end = ((point2[0], 0, 0), (point2[1], 0, 0))

return haversine.points2distance(start, end)

def min_position(location):

return position + 1 # because excel starts at 1 instead of 0

def key_maker():

return position_key

market_position_array = key_maker()

with open("position_of_markets.csv",'wb') as position_of_markets:

writer = csv.writer(position_of_markets)

writer.writerows(market_position_array)