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s45159 2018-01-21 00:47:49 +01:00
parent 9a66adcef5
commit 8ba0a6d612
1 changed files with 22 additions and 11 deletions
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33
labs06/task02.py
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@ -10,10 +10,12 @@ def wczytaj_dane():
return pd.DataFrame(mieszkania)
def most_common_room_number (dane):
return dane['Rooms'].value_counts().head()
most_common = dane['Rooms'].value_counts().head()
return most_common
def cheapest_flats(dane, n):
return dane.sort_values('Expected').head(n)
cheapest = dane.sort_values('Expected').head(n)
return cheapest
def find_borough(desc):
dzielnice = ['Stare Miasto',
@ -41,24 +43,33 @@ def write_plot(dane, filename):
figure_data.savefig ( filename )
def mean_price(dane, room_number):
pass
rooms = dane[ dane['Rooms']==room_number]['Expected'].mean()
return rooms
def find_13(dane):
pass
floor_13 = dane[dane['Floor'] == 13]['Borough'].values
return floor_13
def find_best_flats(dane):
pass
best_flats = dane[(dane['Borough'] == 'Winogrady') & (dane['Rooms'] == 3) & (dane['Floor'] == 1)]
return best_flats
def main():
dane = wczytaj_dane()
print(dane[:5])
def main ( ):
dane = wczytaj_dane ( )
print(dane[ :5 ])
print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}".format ( most_common_room_number ( dane ) ))
print("Najtańsze mieszkania, to: {}".format(cheapest_flats(dane, 5)))
print("{} to najłądniejsza dzielnica w Poznaniu.".format ( find_borough ( "Grunwald i Jeżyce" ) ))
print("{} to najłądniejsza dzielnica w Poznaniu.".format(find_borough("Grunwald i Jeżyce")))
print("Średnia cena mieszkania 3-pokojowego, to: {:.2f}".format ( mean_price ( dane , 3 ) ))
dane = add_borough(dane)
print("Dzielnice z ofertami na 13 pietrze: {}".format ( find_13 ( dane ) ))
print("Najlepsze oferty: {}".format ( find_best_flats ( dane ) ))
if __name__ == "__main__":
main()
main ( )