zips=csv.reader(open("zipCodes.csv","rb"),delimiter=',')
z3=list(zips)
#dictionary holding all zip codes' population from zipcodes.csv
zippop={}
#dictionary for borough, takes user input
boroughs={userboro:0}
#fill in zipcode
for i in range(1,len(z3)):
zippop[z3[i][0]]=z3[i][10]
# instantiate Borough class in the dictionary
# class has 3 parameters, name, zipcodes as an array and sum of population in zip codes in the borough
boroughs[userboro]=Borough(userboro)
boroughs[userboro].zipcodes=[]
boroughs[userboro].sumpopul=0
#first check if in boroughs.csv zip exists
#if we find user defined borough name proceed to zip population dictionary
#append the zip code to the class object
#zort is a list as (zipcode, population in the zipcode)
for i in range(0,len(b1)):
if b1[i][1] == userboro:
zipcode = Zipcode(int(b1[i][0]))
if str(zipcode.number) in zippop.keys():
if zippop[str(zipcode.number)]!='':
det=int(zippop[str(zipcode.number)])
keep = []
for entry in list:
if entry not in found:
found.append(entry)
keep.append(entry)
return keep
with open('boroughs.csv') as f:
rows = csv.reader(f, delimiter=',')
for row in rows:
thiszip = Zipcode(row[0])
rowentry = row[1]
if (rowentry.lower() == borough.name):
borough.addZipcode(thiszip.number)
borough.zipcodes = makeunique(borough.zipcodes)
with open('zipCodes.csv') as f:
rows = csv.reader(f, delimiter=',')
rows.next()
for row in rows:
if (row[10] != ''):
rowzip = row[1]
rowpop = float(row[10].strip())
for line in borough.zipcodes:
if (int(rowzip) == int(line)):
borough.addPopulation(rowpop)
borough.findAverage()
print borough.average
