Question

PYTHON PROGRAMMING LANGUAGE

Make Example Code of Prediction Using Weather Dataset You Want (Humidity, Temperature, Pressure, Dew,Visibility).

You Can Use Any Machine Learning Algorithm (Neural Network / ARIMA / Others) and Please Make Explanation about it!!

Answer 1

def extract_weather_data(url, api_key, target_date, days):

records = []

for _ in range(days):

request = BASE_URL.format(API_KEY, target_date.strftime('%Y%m%d'))

response = requests.get(request)

if response.status_code == 200:

data = response.json()['history']['dailysummary'][0]

records.append(DailySummary(

date=target_date,

meantempm=data['meantempm'],

meandewptm=data['meandewptm'],

meanpressurem=data['meanpressurem'],

maxhumidity=data['maxhumidity'],

minhumidity=data['minhumidity'],

maxtempm=data['maxtempm'],

mintempm=data['mintempm'],

maxdewptm=data['maxdewptm'],

mindewptm=data['mindewptm'],

maxpressurem=data['maxpressurem'],

minpressurem=data['minpressurem'],

precipm=data['precipm']))

time.sleep(6)

target_date += timedelta(days=1)

return records