forked from tdwojak/Python2017
122 lines
3.0 KiB
Python
122 lines
3.0 KiB
Python
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"""**ćwiczenie 4**
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Zainstaluj bibliotekę ``weather-api`` (https://pypi.python.org/pypi/weather-api). Korzystając z niej:
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* Wypisz informacje o aktualnej pogodzie.
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* Napisz funkcję, która zamieni stopnie ``F`` na ``C``.
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* Korzystając z prognozy, znajdź dzień, w którym będzie najzimniej.Wypisz nazwę tygodnia (w języku polskim) i temperaturę w C."""
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from weather import Weather
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weather = Weather()
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miasto ='Gdynia'
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location = weather.lookup_by_location(miasto)
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condition = location.condition()
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data = condition.date()
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dzien_slownie = data[0:3]
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dzien = data[5:7]
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miesiac = data[8:11]
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rok = data[12:16]
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def day_to_dzien_conv(n):
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if n == 'Mon':
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n = n.replace('Mon','Poniedzialek')
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return n
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if n == 'Tue':
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n = n.replace('Tue', 'Wtorek')
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return n
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if n == 'Wed':
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n = n.replace('Wed', 'Sroda')
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return n
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if n== "Thu":
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n = n.replace('Thu','Czwartek')
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return n
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if n == 'Fri':
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n = n.replace('Fri', 'Piątek')
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return n
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if n == 'Sat':
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n = n.replace('Sat', 'Sobota')
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return n
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if n == 'Sun':
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n = n.replace('Sun', 'Niedziela')
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return n
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dzien_slownie = day_to_dzien_conv(dzien_slownie)
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def month_to_miesiac_conv(z):
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if z == 'Jan':
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z = z.replace('Jan','Styczen')
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return z
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if z == 'Feb':
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z = z.replace('Feb', 'Luty')
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return z
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if z == 'Mar':
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z = z.replace('Mar', 'Marzec')
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return z
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if z== "Apr":
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z = z.replace('Apr','Kwiecien')
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return z
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if z == 'May':
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z = z.replace('May', 'Maj')
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return z
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if z == 'Jun':
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z = z.replace('Jun', 'Czerwiec')
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return z
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if z == 'Jul':
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z = z.replace('Jul', 'Lipiec')
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return z
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if z == 'Aug':
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z = z.replace('Aug', 'Sierpien')
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return z
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if z == 'Sep':
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z = z.replace('Sep', 'Wrzesien')
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return z
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if z == 'Oct':
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z = z.replace('Oct', 'Pazdziernik')
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return z
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if z == 'Nov':
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z = z.replace('Nov', 'Listopad')
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return z
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if z == 'Dec':
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z = z.replace('Dec', 'Grudzien')
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return z
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miesiac = month_to_miesiac_conv(miesiac)
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print(f"Aktualna pogoda w mieście: {miasto}")
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print(f'Data: {dzien_slownie}, {dzien}-{miesiac}-{rok}')
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print(f'Warunki (ang.): {condition.text()}')
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fahrenhait = condition.temp()
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def temp_conversion(fahrenhait):
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celsius = round(((int(fahrenhait) - 32) * 5/9),1)
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return (f'Temperatura: {celsius} C')
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print(temp_conversion(fahrenhait))
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temp_min = []
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date_temp_min = []
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forecasts = location.forecast()
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for forecast in forecasts:
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temp_min.append(forecast.low())
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date_temp_min.append(forecast.date())
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minimum = min(temp_min)
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indeks = temp_min.index(minimum)
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data_miminum = date_temp_min.pop(indeks)
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dzien_przew = data_miminum[0:2]
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miesiac_przew = data_miminum[3:6]
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rok_przew = data_miminum[7:11]
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miesiac_przew = month_to_miesiac_conv(miesiac_przew)
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print(f'Przewidywalna minimalna {temp_conversion(minimum)} nastąpi dnia {dzien_przew}-{miesiac_przew}-{rok_przew}')
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