loc + '-job-results.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
for row in readCSV:
numValueofSalary = re.findall(
r'\d+', row[4])
if (len(numValueofSalary) > 1):
count += 1
avg = (float(numValueofSalary[0]) +
float(numValueofSalary[1])) / 2
# print(avg)
averageSalary = movingAverage(
averageSalary, avg, count)
job = Job(row[0], row[1], row[2], row[3],
numValueofSalary)
locat.addJob(job)
locat.setAverageSalary(averageSalary)
locat.setSalaryCostRatio()
f.write(locat.getCity() + "," +
str(locat.getAverageSalary()) + "," +
str(locat.getCostOfLivingIndex()) +
"," + str(locat.getSalaryCostRatio()))
f.write('\n')
print("Average salary: " + str(averageSalary))
colLocations.addLocation(locat)
print("TOPS")
fName = 'top10' + "-" + job1 + ".txt"
topPicks = open(fName, 'w')
colLocations.getTop10().sort(key=lambda a: a.salaryCostRatio,
