def build_data(self):
cnt = 1
with open(self.filename, newline='') as csvfile:
datareader = csv.reader(csvfile, delimiter=',')
for row in datareader:
if cnt == 1:
cnt += 1
continue # Skip first line with only column names
#print(row)
if len(row[1]) > 0:
self.Date = u.format_date(row[0])
self.AverageTemperature = u.scrub_decimal(row[1])
# Build dictionary for the selected month
if u.is_month(self.Date, self.month):
self.result_dict[self.Date] = round(
self.AverageTemperature, 2)
cnt += 1
return self.result_dict
next_target_goal = 100000
next_target = next_target_goal
# Import csv
with open(filename, newline='') as csvfile:
datareader = csv.reader(csvfile, delimiter=',')
for row in datareader:
if cnt == 1:
cnt += 1
continue #Skip first line with only column names
#print(row)
Date = u.format_date(row[0])
AverageTemperature = u.scrub_decimal(row[1])
AverageTemperatureUncertainty = u.scrub_decimal(row[2])
City = row[3]
Country = row[4]
Latitude = row[5]
Longitude = row[6]
if City not in cities:
cities.append(City)
"""
print("Date: {}".format(Date))
print("AverageTemperature: {}".format(u.scrub_decimal(AverageTemperature)))
print("AverageTemperatureUncertainty: {}".format(u.scrub_decimal(AverageTemperatureUncertainty)))
print("City: {}".format(City))
print("Country: {}".format(Country))
print("Latitude: {}".format(Latitude))
start = end - no_years
# Import csv
with open(filename, newline = '') as csvfile:
datareader = csv.reader(csvfile, delimiter=',')
for row in datareader:
if cnt == 1:
cnt += 1
continue #Skip first line with only column names
#print(row)
if len(row[1]) > 0:
Date = u.format_date(row[0])
AverageTemperature = u.scrub_decimal(row[1])
#Build dictionary for the selected month
if u.is_month(Date, month):
result_dict[Date] = AverageTemperature
cnt += 1
# Prepare graph data
x = [] #
xt = [] #Years
y_cnt = [] #Temperatures
cnt = 1
for race_label in sorted(result_dict.keys(), reverse=False):