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import requests
import statistics
api_url=’
name_City = input(‘City Name :’)
url = api_url + name_City
json_data = requests.get(url).json()
Latitude_data = json_data[‘coord’][‘lat’]
Longitude_data = json_data[‘coord’][‘lon’]
url_part1 = ‘
url_part2 = ‘,’
url_part3 = ‘,’
url_part5 = ‘T’
url_part4 = ‘-‘
url_part6 = ‘?exclude=currently,flags’
currentYear = int(input(‘enterdate ([YYYY]): ‘))
yr1prev = currentYear – 1
yr2prev = currentYear – 2
yr3prev = currentYear – 3
monthDay = input(‘enterdate ([MM]-[DD]): ‘)
time = input(‘[HH]:[MM]:[SS]): ‘)
#————————————————————————–
urlYear1 = url_part1 + str(Latitude_data) + url_part2 + str(Longitude_data) + url_part3 + str(yr1prev) + url_part4 + monthDay + url_part5 + time + url_part6
json_data = requests.get(urlYear1).json()
temp1 = json_data[‘hourly’][‘data’][0][‘temperature’]
wind_speed1 = json_data[‘hourly’][‘data’][0][‘windSpeed’]
humidity1 = json_data[‘hourly’][‘data’][0][‘humidity’]
#rain_prob1 = json_data[‘hourly’][‘data’][0][‘precipProbability’]
#weather_info1 = json_data[‘hourly’][‘data’][0][‘icon’]
description1 = json_data[‘hourly’][‘summary’]
Fahrenheit_to_Celsius1 = (temp1 – 32) * (5/9)
temp_in_celsius1 = round(Fahrenheit_to_Celsius1, 2)
humidity_in_percentage1 = humidity1 * 100
#rain_prob1_percentage = rain_prob1 * 100
#————————————————————————–
urlYear2 = url_part1 + str(Latitude_data) + url_part2 + str(Longitude_data) + url_part3 + str(yr2prev) + url_part4 + monthDay + url_part5 + time + url_part6
json_data = requests.get(urlYear2).json()
temp2 = json_data[‘hourly’][‘data’][0][‘temperature’]
wind_speed2 = json_data[‘hourly’][‘data’][0][‘windSpeed’]
humidity2 = json_data[‘hourly’][‘data’][0][‘humidity’]
#rain_prob2 = json_data[‘hourly’][‘data’][0][‘precipProbability’]
#weather_info = json_data[‘hourly’][‘data’][0][‘icon’]
description = json_data[‘hourly’][‘summary’]
Fahrenheit_to_Celsius2 = (temp2 – 32) * (5/9)
temp_in_celsius2 = round(Fahrenheit_to_Celsius2, 2)
humidity_in_percentage2 = humidity2 * 100
#rain_prob2_percentage = rain_prob2 * 100
#————————————————————————–
urlYear3 = url_part1 + str(Latitude_data) + url_part2 + str(Longitude_data) + url_part3 + str(yr3prev) + url_part4 + monthDay + url_part5 + time + url_part6
json_data = requests.get(urlYear3).json()
temp3 = json_data[‘hourly’][‘data’][0][‘temperature’]
wind_speed3 = json_data[‘hourly’][‘data’][0][‘windSpeed’]
humidity3 = json_data[‘hourly’][‘data’][0][‘humidity’]
#rain_prob3 = json_data[‘hourly’][‘data’][0][‘precipProbability’]
#weather_info = json_data[‘hourly’][‘data’][0][‘icon’]
description = json_data[‘hourly’][‘summary’]
Fahrenheit_to_Celsius3 = (temp3 – 32) * (5/9)
temp_in_celsius3 = round(Fahrenheit_to_Celsius3, 2)
humidity_in_percentage3 = humidity3 * 100
#rain_prob3_percentage = rain_prob3 * 100
#————————————————————————–
listofTemp = [temp_in_celsius1, temp_in_celsius2, temp_in_celsius3]
averageTemp = round(statistics.mean(listofTemp), 2)
listWindspeed = [wind_speed1, wind_speed2, wind_speed3]
averageWindspeed = round(statistics.mean(listWindspeed), 2)
listHumidities = [humidity_in_percentage1, humidity_in_percentage2, humidity_in_percentage3]
averageHumidity = round(statistics.mean(listHumidities), 2)
#listRainProb = [rain_prob1_percentage, rain_prob2_percentage, rain_prob3_percentage]
#averageRainProb = round(statistics.mean(listRainProb), 2)
#————————————————————————–
print(”)
print(”)
#print (‘Weather at given time: {} ‘.format(weather_info1))
print(‘General weather on this day: {} ‘.format(description1))
print(‘Temperature : {} degree celsius. ‘.format(averageTemp))
print(‘Wind Speed : {} m/s. ‘.format(averageWindspeed))
print(‘Humidity : {} %. ‘.format(averageHumidity))
#print(‘Probability of Rain: {} %. ‘.format(averageRainProb))
print(‘Description : {}’.format(description1))
