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forked from tdwojak/Python2018
Python2018/labs06/task02.py
2018-06-03 12:34:25 +02:00

60 lines
1.1 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: utf-8 -*-
def wczytaj_dane():
import pandas as pd
dane = pd.read_csv("labs06/mieszkania.csv")
dane.head()
def most_common_room_number(dane):
dane['Rooms'].value_counts().idxmax()
def cheapest_flats(dane, n):
def find_borough(desc):
dzielnice = ['Stare Miasto',
'Wilda',
'Jeżyce',
'Rataje',
'Piątkowo',
'Winogrady',
'Miłostowo',
'Dębiec']
pass
def add_borough(dane):
pass
def write_plot(dane, filename):
pass
def mean_price(dane, room_number):
pass
def find_13(dane):
pass
def find_best_flats(dane):
pass
def main():
dane = wczytaj_dane()
print(dane[:5])
print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
.format(most_common_room_number(dane)))
print("{} to najłądniejsza dzielnica w Poznaniu."
.format(find_borough("Grunwald i Jeżyce"))))
print("Średnia cena mieszkania 3-pokojowego, to: {}"
.format(mean_price(dane, 3)))
if __name__ == "__main__":
main()