From e69a13c79af046a1461d5f3234450e50806edea5 Mon Sep 17 00:00:00 2001 From: s45148 Date: Sat, 6 Jan 2018 00:11:57 +0100 Subject: [PATCH] labs04 z1 --- labs06/task02.py | 34 +++++++++++++++++++++------------- 1 file changed, 21 insertions(+), 13 deletions(-) diff --git a/labs06/task02.py b/labs06/task02.py index 740e1e6..9f83185 100755 --- a/labs06/task02.py +++ b/labs06/task02.py @@ -1,23 +1,27 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- import pandas as pd +import sys +import numpy as np def wczytaj_dane(): my_data = pd.read_csv('mieszkania.csv', encoding='utf-8', - index_col='Id') + index_col='Id', + sep = ',') return my_data #print(my_data) def most_common_room_number(dane): - room_num = dane['Rooms'] - room_num_rank = room_num.value_counts() - room_num_list = list(room_num_rank) - return type(room_num_rank) + rooms = dane['Rooms'] + rooms_max = rooms.value_counts().index[0] + return rooms_max #return ( room_num_list[room_num_list.index(max(room_num_list))] ) #pass def cheapest_flats(dane, n): - pass + expected = dane['Expected'] + n_cheapest = expected.sort_values().head(n) + return n_cheapest def find_borough(desc): dzielnice = ['Stare Miasto', @@ -28,23 +32,27 @@ 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.apply(lambda row: find_borough(row['Location'])) def write_plot(dane, filename): - pass + dane['Borough'].value_counts().plot.bar().get_figure().savefig(filename) def mean_price(dane, room_number): - pass + mean_value = dane.loc[dane['Rooms'] == room_number]['Expected'].mean() + return mean_value def find_13(dane): - pass + return dane.loc[dane['Floor'] == 13]['Borough'].unique() def find_best_flats(dane): - pass + best_flats = dane.loc[(df['Borough'] == 'Winogrady') & (dane['Rooms'] == 3) & (dane['Floor'] == 1)] + return best_flats def main(): dane = wczytaj_dane()