s45159/Python2017
1
0
Fork 0
forked from tdwojak/Python2017
Code Releases Activity

commit

Browse Source
This commit is contained in:
s45159 2018-01-21 00:03:22 +01:00
parent 40c98ed400
commit 9a66adcef5
1 changed files with 24 additions and 16 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

36
labs06/task02.py
View File

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