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zadanie domowe

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This commit is contained in:
Magda Zganiacz 2018-06-21 19:28:33 +02:00
parent adf2d4d587
commit 7f64a03469
1 changed files with 31 additions and 13 deletions
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40
labs06/task02.py
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@ -1,14 +1,19 @@
#!/usr/bin/env python #!/usr/bin/env python
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
import pandas as pd
from statistics import mode
import matplotlib.pyplot as plt
def wczytaj_dane(): def wczytaj_dane():
pass r = pd.read_csv("mieszkania.csv")
dane = r.dropna(axis='columns')
return dane
def most_common_room_number(dane): def most_common_room_number(dane):
pass return mode(dane.Rooms)
def cheapest_flats(dane, n): def cheapest_flats(dane, n):
pass return dane.sort_values(by=["Expected"]).head(n)
def find_borough(desc): def find_borough(desc):
dzielnice = ['Stare Miasto', dzielnice = ['Stare Miasto',
@ -19,23 +24,36 @@ def find_borough(desc):
'Winogrady', 'Winogrady',
'Miłostowo', 'Miłostowo',
'Dębiec'] 'Dębiec']
pass
indeks = len(desc)
nazwa_dzielnicy = "Inne"
for dzielnica in dzielnice:
indeks_dzielnica = desc.find(dzielnica)
if indeks_dzielnica < indeks and indeks_dzielnica != -1:
indeks = indeks_dzielnica
nazwa_dzielnicy = dzielnica
return nazwa_dzielnicy
def add_borough(dane): def add_borough(dane):
pass dane['Borough'] = dane['Location'].apply(find_borough)
return dane
def write_plot(dane, filename): def write_plot(dane, filename):
pass add_borough(dane)
dane_wykres = pd.Series(dane.Borough.value_counts())
dane_wykres.plot(x='Borough', y='Liczba ogłoszeń', kind = 'bar')
plt.savefig(filename, pad_inches=1, bbox_inches='tight')
def mean_price(dane, room_number): def mean_price(dane, room_number):
pass return dane.Expected[(dane['Rooms'] == room_number)].mean()
def find_13(dane): def find_13(dane):
pass add_borough(dane)
return dane.Borough[(dane['Floor'] == 13)].unique()
def find_best_flats(dane): def find_best_flats(dane):
pass add_borough(dane)
return dane[(dane['Borough'] == 'Winogrady') & (dane['Rooms'] == 3) & (dane['Floor'] == 1)]
def main(): def main():
dane = wczytaj_dane() dane = wczytaj_dane()
@ -44,8 +62,8 @@ def main():
print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}" print("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
.format(most_common_room_number(dane))) .format(most_common_room_number(dane)))
print("{} to najłądniejsza dzielnica w Poznaniu." print("{} to najładniejsza dzielnica w Poznaniu."
.format(find_borough("Grunwald i Jeżyce")))) .format(find_borough("Grunwald i Jeżyce")))
print("Średnia cena mieszkania 3-pokojowego, to: {}" print("Średnia cena mieszkania 3-pokojowego, to: {}"
.format(mean_price(dane, 3))) .format(mean_price(dane, 3)))