borInput = borInput.title()
boroughZipRef = open('boroughs.csv','r')
zipPopRef = open('zipCodes.csv','r')
#Set the input borough as an instance of the class Borough
borObj = Borough(borInput)
#Add to the list of zip codes in the borough class using the method addZipcode
boroughDict = csv.DictReader(boroughZipRef, ['ZipVal','BorName'])
for row in boroughDict:
if row['BorName'] == borInput:
borObj.addZipcode(row['ZipVal'])
#Sum the population in the zips of the borough by comparing zipcode values from the file to the zipcodes list in boroughs
popBorInput = csv.DictReader(zipPopRef)
totPopBor = 0
count = 0
for row in popBorInput:
if row['Total Population per ZIP Code'] != '':
pop = row['Total Population per ZIP Code']
zipcode = row['name']
if zipcode in borObj.zipcodes:
count = count + 1
totPopBor = totPopBor + int(pop)
#Calculate Average through the method in the borough class
borObj.calcAvgPop(totPopBor, count)
print borObj.avg
if line[1] == 'Bronx':
countBx = countBx +1
if line[1] == 'Brooklyn':
countBrook = countBrook +1
if line[1] == 'Staten':
countSI = countSI +1
if line[1] == 'Queens':
countQ = countQ +1
print countM
print countBx
print countBrook
print countSI
print countQ
#use the class borough to calculate the average population for the given borough
BorObj.calcAvgPop(totPop, count)
#I tried to do it this way by making a dictionary and appending the population
#to the zip and borough, but it kept giving me errors. And then I found a different
#way to do it with collections but still gave me errors.
# boroughgroup = collections.defaultdict(list)
# boroughgroup = {}
# for line in csvreaderb:
# if line[0]>10000:
# line[1] = line[1]
# count = 0
# for line in csvreaderzc:
# if (count>0 and line[0] in boroughgroup):
