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@ -1,16 +1,19 @@
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import pandas as pd
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import numpy as np
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def wczytaj_dane():
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mieszkania = pd.read_csv('mieszkania.csv',
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index_col='Id')
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return (mieszkania)
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mieszkania = pd.read_csv('mieszkania.csv',
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encoding='utf-8',
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sep=',',
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index_col='Id')
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return pd.DataFrame(mieszkania)
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def most_common_room_number(dane):
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pass
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def most_common_room_number (dane):
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return dane['Rooms'].value_counts().head()
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def cheapest_flats(dane, n):
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pass
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return dane.sort_values('Expected').head(n)
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def find_borough(desc):
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dzielnice = ['Stare Miasto',
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@ -21,14 +24,21 @@ def find_borough(desc):
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'Winogrady',
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'Miłostowo',
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'Dębiec']
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pass
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for dzielnica in dzielnice:
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if dzielnica in desc:
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return dzielnica
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return 'Inne'
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def add_borough(dane):
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pass
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dane['Borough'] = dane['Location'].apply(find_borough)
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return dane
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def write_plot(dane, filename):
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pass
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data = add_borough(dane)
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plot_data = data['Borough'].value_counts()
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plot_data.plot( Kind = 'bar',title='Mieszkania z podziałem na dzielnice')
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figure_data = plot_data.get_figure()
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figure_data.savefig ( filename )
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def mean_price(dane, room_number):
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pass
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@ -43,14 +53,12 @@ def main():
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dane = wczytaj_dane()
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print(dane[:5])
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print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
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.format(most_common_room_number(dane)))
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print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}".format ( most_common_room_number ( dane ) ))
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print("{} to najłądniejsza dzielnica w Poznaniu."
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.format(find_borough("Grunwald i Jeżyce"))))
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print("Najtańsze mieszkania, to: {}".format(cheapest_flats(dane, 5)))
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print("{} to najłądniejsza dzielnica w Poznaniu.".format(find_borough("Grunwald i Jeżyce")))
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print("Średnia cena mieszkania 3-pokojowego, to: {}"
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.format(mean_price(dane, 3)))
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if __name__ == "__main__":
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main()
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