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@ -13,7 +13,8 @@ def most_common_room_number(dane):
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def cheapest_flats(dane, n):
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def cheapest_flats(dane, n):
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p = dane.sort_values(['Expected'], ascending=[0])
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p.head(7)
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def find_borough(desc):
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def find_borough(desc):
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dzielnice = ['Stare Miasto',
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dzielnice = ['Stare Miasto',
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@ -34,13 +35,18 @@ def write_plot(dane, filename):
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pass
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pass
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def mean_price(dane, room_number):
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def mean_price(dane, room_number):
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pass
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p1 = dane[dane['Rooms'] == 2]
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p2 = p1['Expected']
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p2.mean()
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def find_13(dane):
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def find_13(dane):
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pass
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p1 = dane[dane['Floor'] == 13]
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p1.Location.unique()
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def find_best_flats(dane):
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def find_best_flats(dane):
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pass
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p_index = dane['Location'].str.contains('Winogrady')
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p = dane[p_index]
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p[(p['Rooms'] == 3) & (p['Floor'] == 1)]
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def main():
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def main():
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dane = wczytaj_dane()
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dane = wczytaj_dane()
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