labs04 z1

labs06/task00.py

@@ -0,0 +1 @@
+import pandas as pd

labs06/task02.py

@@ -1,12 +1,21 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
+import pandas as pd
 
 def wczytaj_dane():
-    pass
+    my_data = pd.read_csv('mieszkania.csv',
+                          encoding='utf-8',
+                          index_col='Id')
+    return my_data
+    #print(my_data)
 
 def most_common_room_number(dane):
-    pass
-
+    room_num = dane['Rooms']
+    room_num_rank = room_num.value_counts()
+    room_num_list = list(room_num_rank)
+    return type(room_num_rank)
+    #return ( room_num_list[room_num_list.index(max(room_num_list))] )
+    #pass
 def cheapest_flats(dane, n):
     pass
 
@@ -45,7 +54,7 @@ def main():
           .format(most_common_room_number(dane)))
 
     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: {}"
           .format(mean_price(dane, 3)))