forked from tdwojak/Python2017
71 lines
1.4 KiB
Python
Executable File
71 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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import pandas as pd
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def wczytaj_dane():
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flats_data = pd.read_csv('mieszkania.csv',
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sep=',', # separator
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index_col='Id') # ustawienie indeksu na kolumnę 'Id'
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flats_as_frame = pd.DataFrame(flats_data)
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return flats_as_frame
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def most_common_room_number(dane):
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rooms = dane['Rooms']
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counter = rooms.value_counts()
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# new_dict = {}
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# for i in counter:
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# new_dict.update([i])
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# print (new_dict)
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print (max(counter))
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def cheapest_flats(dane, n):
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pass
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def find_borough(desc):
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dzielnice = ['Stare Miasto',
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'Wilda',
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'Jeżyce',
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'Rataje',
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'Piątkowo',
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'Winogrady',
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'Miłostowo',
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'Dębiec']
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pass
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def add_borough(dane):
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pass
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def write_plot(dane, filename):
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pass
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def mean_price(dane, room_number):
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pass
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def find_13(dane):
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pass
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def find_best_flats(dane):
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pass
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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("{} to najłądniejsza dzielnica w Poznaniu."
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.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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