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Homework#6

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s45162 2018-01-20 15:40:45 +01:00
parent ba9dc1422a
commit 689e3bc8ee
2 changed files with 24 additions and 15 deletions
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labs06/task02.py
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@ -1,14 +1,18 @@
#!/usr/bin/env python #!/usr/bin/env python
# -*- coding: utf-8 -*- # -*- coding: utf-8 -*-
import pandas as pd
def wczytaj_dane(): def wczytaj_dane():
pass mieszkania = pd.read_csv('mieszkania.csv', # ścieżka do pliku
sep=',', # separator
encoding='UTF-8',
usecols=[0,1,2,3,4,5,6])
return mieszkania
def most_common_room_number(dane): def most_common_room_number(dane):
pass return dane.mode(numeric_only =True)["Rooms"][0]
def cheapest_flats(dane, n): def cheapest_flats(dane, n):
pass return dane.sort_values("Expected")[:n]
def find_borough(desc): def find_borough(desc):
dzielnice = ['Stare Miasto', dzielnice = ['Stare Miasto',
@ -19,36 +23,41 @@ def find_borough(desc):
'Winogrady', 'Winogrady',
'Miłostowo', 'Miłostowo',
'Dębiec'] 'Dębiec']
pass inputList=desc.split(' ')
for i in inputList:
if i in dzielnice:
return i
break
return "Inne"
def add_borough(dane): def add_borough(dane):
pass newcol=dane["Location"].apply(find_borough)
dane["Borough"]=newcol
return dane
def write_plot(dane, filename): def write_plot(dane, filename):
pass bar=dane["Borough"].value_counts().plot(kind="bar", figsize=(6,6))
fig=bar.get_figure()
fig.savefig(filename)
def mean_price(dane, room_number): def mean_price(dane, room_number):
pass return dane[dane["Rooms"]==room_number]["Expected"].mean()
def find_13(dane): def find_13(dane):
pass return dane[dane["Floor"]==13]["Borough"].unique()
def find_best_flats(dane): def find_best_flats(dane):
pass return dane[(dane["Borough"]=="Winogrady") & (dane["Floor"]==1) & (dane["Rooms"]==3)]
def main(): def main():
dane = wczytaj_dane() dane = wczytaj_dane()
print(dane[:5]) print(dane[:5])
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 najłądniejsza 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)))
if __name__ == "__main__": if __name__ == "__main__":
main() main()