Compare commits
10 Commits
Author | SHA1 | Date | |
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8c2bf093de | |||
2077881ae8 | |||
ff3181b92e | |||
affdbe0687 | |||
371b21878e | |||
8f864fe5a7 | |||
9b8f95c72d | |||
2386b38ffe | |||
cd6b55c938 | |||
dea7ff8de5 |
@ -1,38 +1,24 @@
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ID | labs02:task07 | labs02:task08 | labs02:task09 | labs02:task10 | labs02:task11 | labs03 | labs04 | labs06 | Punkty | Ocena |
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ID | labs02:task07 | labs02:task08 | labs02:task09 | labs02:task10 | labs02:task11
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---------|-----------------|-----------------|-----------------|-----------------|-----------------|----------|----------|----------|--------|-------|
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---------|-----------------|-----------------|-----------------|-----------------|---------------
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s45146 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45168 | 0 | 0 | 0 | 0 | 0
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s45147 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45162 | 1 | 1 | 1 | 1 | 1
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s45148 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45158 | 1 | 1 | 0 | 0 | 1
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s45150 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 8 | 16 | 4 |
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szwedek | 1 | 1 | 1 | 1 | 1
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s45151 | 1 | 1 | 1 | 1 | 1 | 0 | 5 | 8 | 18 | 4.5 |
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s45155 | 1 | 1 | 1 | 1 | 1
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s45152 | 1 | 1 | 1 | 0 | 1 | 0 | 5 | 8 | 17 | 4 |
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s45152 | 1 | 1 | 1 | 0 | 1
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s45153 | 0 | 1 | 1 | 1 | 1 | 4 | 0 | 8 | 16 | 4 |
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s45148 | 1 | 1 | 1 | 1 | 1
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s45155 | 1 | 1 | 1 | 1 | 1 | 1 | 5 | 8 | 19 | 4.5 |
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s45166 | 1 | 1 | 1 | 1 | 1
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s45156 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45151 | 1 | 1 | 1 | 1 | 1
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s45157 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
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s45146 | 1 | 1 | 1 | 1 | 1
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s45158 | 1 | 1 | 0 | 0 | 1 | 4 | 5 | 8 | 19 | 4.5 |
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s45150 | 1 | 1 | 1 | 1 | 1
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s45159 | 1 | 1 | 1 | 1 | 1 | 2 | 3 | 8 | 18 | 4.5 |
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s45452 | 1 | 1 | 1 | 1 | 1
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s45160 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
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s45165 | 1 | 1 | 1 | 1 | 1
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s45161 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45160 | 1 | 1 | 1 | 1 | 1
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s45162 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45153 | 0 | 0 | 0 | 0 | 0
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s45163 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
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s45156 | 1 | 1 | 1 | 1 | 1
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s45164 | 1 | 1 | 0 | 1 | 0 | 0 | 5 | 8 | 16 | 4 |
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s45157 | 0 | 0 | 1 | 1 | 1
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s45165 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45167 | 1 | 1 | 1 | 1 | 1
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s45166 | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 8 | 22 | 5 |
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s45147 | 1 | 0 | 0 | 1 | 0
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s45167 | 1 | 1 | 1 | 1 | 1 | 0 | 5 | 8 | 17 | 4 |
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s45159 | 0 | 0 | 0 | 0 | 0
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s45168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
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s45161 | 1 | 1 | 1 | 1 | 1
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s45452 | 1 | 1 | 1 | 1 | 1 | 4 | 4 | 8 | 21 | 5 |
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s45164 | 1 | 1 | 0 | 1 | 0
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szwedek | 1 | 1 | 1 | 1 | 1 | 4 | 5 | 10 | 24 | 5 |
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Skala:
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Punkty | Ocena |
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-------|-------|
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24-20 | 5 |
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19-18 | 4.5 |
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17-16 | 4 |
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15-13 | 3 |
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12-0 | 2 |
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Max: 22
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@ -7,7 +7,7 @@ która zawiera tylko elementy z list o parzystych indeksach.
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"""
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"""
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def even_elements(lista):
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def even_elements(lista):
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pass
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return lista[::2]
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def tests(f):
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def tests(f):
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@ -5,8 +5,15 @@
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Napisz funkcję days_in_year zwracającą liczbę dni w roku (365 albo 366).
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Napisz funkcję days_in_year zwracającą liczbę dni w roku (365 albo 366).
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"""
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"""
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def days_in_year(days):
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def days_in_year(year):
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pass
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if year % 4 == 0 and year % 100 == 0 and year % 400 == 0:
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return 366
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elif year % 4 == 0 and year % 100 != 0:
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return 366
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elif year % 4 == 0 and year % 100 == 0 and year % 400 != 0:
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return 365
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else:
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return 365
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def tests(f):
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def tests(f):
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inputs = [[2015], [2012], [1900], [2400], [1977]]
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inputs = [[2015], [2012], [1900], [2400], [1977]]
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@ -13,7 +13,11 @@ jak 'set', która przechowuje elementy bez powtórzeń.)
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def oov(text, vocab):
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def oov(text, vocab):
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pass
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s=set()
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for i in text.split():
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if i not in vocab:
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s.add(i)
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return s
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@ -7,7 +7,14 @@ Jeśli podany argument jest mniejszy od 1 powinna być zwracana wartość 0.
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"""
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"""
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def sum_from_one_to_n(n):
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def sum_from_one_to_n(n):
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pass
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if n<1:
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return 0
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else:
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x=0
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for i in range (n+1):
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x=x+i
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return x
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def tests(f):
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def tests(f):
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@ -9,8 +9,11 @@ trzyelementowe listy liczb zmiennoprzecinkowych.
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np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
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np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
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"""
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"""
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def euclidean_distance(x, y):
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def euclidean_distance(x, y):
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pass
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dist=((x[0]-y[0])**2+(x[1]-y[1])**2+(x[2]-y[2])**2)**(1/2)
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return dist
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def tests(f):
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def tests(f):
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inputs = [[(2.3, 4.3, -7.5), (2.3, 8.5, -7.5)]]
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inputs = [[(2.3, 4.3, -7.5), (2.3, 8.5, -7.5)]]
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@ -10,7 +10,14 @@ ma być zwracany napis "It's not a Big 'No!'".
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"""
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"""
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def big_no(n):
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def big_no(n):
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pass
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if n<5:
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return("It's not a Big 'No!'")
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else:
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tekst="N"
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for i in range (n):
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tekst += "O"
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tekst += "!"
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return(tekst)
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def tests(f):
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def tests(f):
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inputs = [[5], [6], [2]]
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inputs = [[5], [6], [2]]
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@ -6,7 +6,10 @@ Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
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sumę kodów ASCII znaków.
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sumę kodów ASCII znaków.
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"""
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"""
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def char_sum(text):
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def char_sum(text):
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pass
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suma=0
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for i in range (len(text)):
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suma+=ord(text[i])
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return(suma)
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def tests(f):
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def tests(f):
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inputs = [["this is a string"], ["this is another string"]]
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inputs = [["this is a string"], ["this is another string"]]
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@ -7,7 +7,12 @@ przez 3 lub 5 mniejszych niż n.
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"""
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"""
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def sum_div35(n):
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def sum_div35(n):
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pass
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suma=0
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for i in range(n):
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if i%3==0 or i%5==0:
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suma+=i
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return(suma)
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def tests(f):
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def tests(f):
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inputs = [[10], [100], [3845]]
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inputs = [[10], [100], [3845]]
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@ -9,7 +9,7 @@ Np. leet('leet') powinno zwrócić '1337'.
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def leet_speak(text):
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def leet_speak(text):
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pass
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return(text.replace("e","3").replace("l", "1").replace("o", "0").replace("t", "7"))
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def tests(f):
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def tests(f):
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@ -9,7 +9,14 @@ na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
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def pokemon_speak(text):
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def pokemon_speak(text):
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pass
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for i in range(len(text)):
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if i == 0:
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mytext=''.join(['', text[i].upper()])
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elif i % 2 == 0:
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mytext = ''.join([mytext[:i], text[i].upper()])
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else:
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mytext = ''.join([mytext[:i], text[i]])
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return (mytext)
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def tests(f):
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def tests(f):
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@ -23,4 +30,4 @@ def tests(f):
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return "TESTS PASSED"
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return "TESTS PASSED"
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if __name__ == "__main__":
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if __name__ == "__main__":
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print(tests(pokemon_speak))
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print(tests(pokemon_speak))
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@ -9,7 +9,14 @@ Oba napisy będą składać się wyłacznie z małych liter.
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"""
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"""
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def common_chars(string1, string2):
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def common_chars(string1, string2):
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pass
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s=[]
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s1 = list(set(string1.replace(' ','')))
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s2 = list(set(string2.replace(' ','')))
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for i in s1:
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if i in s2:
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s.append(i)
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s.sort()
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return s
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def tests(f):
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def tests(f):
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@ -1 +0,0 @@
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BLEU = 17.66, 49.6/22.6/12.3/7.0 (BP=1.000, ratio=1.019, hyp_len=43697, ref_len=42903)
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8
labs03/task01.py
Normal file
8
labs03/task01.py
Normal file
@ -0,0 +1,8 @@
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|
lista=[1,2,3,4,5,23,4,1,2,3]
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print (id(lista))
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|
napis='Hello'
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print (id(napis))
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|
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|
zmiennoprzecinkowa=12.233
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|
print (id(zmiennoprzecinkowa))
|
0
labs03/task02.py
Normal file
0
labs03/task02.py
Normal file
0
labs03/task03.py
Normal file
0
labs03/task03.py
Normal file
16
labs03/task05.py
Normal file
16
labs03/task05.py
Normal file
@ -0,0 +1,16 @@
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|
import glob
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|
import re
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|
files=glob.glob("scores\*.*")
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|
c=[]
|
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|
for file in files:
|
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|
with open(file, 'r') as current_file:
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|
a=current_file.read(12)
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|
a=a[7:12]
|
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|
a = [float(i) for i in re.findall(r"[-+]?\d*\.\d*", a)]
|
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|
c.append(a)
|
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|
c[0]
|
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|
w=c.index(max(c))
|
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|
myfile=files[w]
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|
import os
|
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|
print (os.getcwd()+"\\"+ myfile)
|
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|
|
@ -309,13 +309,13 @@
|
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{
|
{
|
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"ename": "AttributeError",
|
"ename": "AttributeError",
|
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"evalue": "'Parser' object has no attribute '__parse'",
|
"evalue": "'Parser' object has no attribute '__parse'",
|
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"output_type": "error",
|
|
||||||
"traceback": [
|
"traceback": [
|
||||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
|
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
|
||||||
"\u001b[0;32m<ipython-input-6-80ee186598d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mParser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__parse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
"\u001b[0;32m<ipython-input-6-80ee186598d3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mParser\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__parse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||||
"\u001b[0;31mAttributeError\u001b[0m: 'Parser' object has no attribute '__parse'"
|
"\u001b[0;31mAttributeError\u001b[0m: 'Parser' object has no attribute '__parse'"
|
||||||
]
|
],
|
||||||
|
"output_type": "error"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
@ -465,13 +465,13 @@
|
|||||||
{
|
{
|
||||||
"ename": "FileNotFoundError",
|
"ename": "FileNotFoundError",
|
||||||
"evalue": "[Errno 2] No such file or directory: 'nieistniejący_plik.txt'",
|
"evalue": "[Errno 2] No such file or directory: 'nieistniejący_plik.txt'",
|
||||||
"output_type": "error",
|
|
||||||
"traceback": [
|
"traceback": [
|
||||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
|
"\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)",
|
||||||
"\u001b[0;32m<ipython-input-20-41928d542bef>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"nieistniejący_plik.txt\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
"\u001b[0;32m<ipython-input-20-41928d542bef>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"nieistniejący_plik.txt\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||||
"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'nieistniejący_plik.txt'"
|
"\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'nieistniejący_plik.txt'"
|
||||||
]
|
],
|
||||||
|
"output_type": "error"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
@ -614,13 +614,13 @@
|
|||||||
{
|
{
|
||||||
"ename": "MyError",
|
"ename": "MyError",
|
||||||
"evalue": "Coś poszło nie tak!",
|
"evalue": "Coś poszło nie tak!",
|
||||||
"output_type": "error",
|
|
||||||
"traceback": [
|
"traceback": [
|
||||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||||
"\u001b[0;31mMyError\u001b[0m Traceback (most recent call last)",
|
"\u001b[0;31mMyError\u001b[0m Traceback (most recent call last)",
|
||||||
"\u001b[0;32m<ipython-input-36-4fb306b42ebc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Coś poszło nie tak!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
"\u001b[0;32m<ipython-input-36-4fb306b42ebc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Coś poszło nie tak!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||||
"\u001b[0;31mMyError\u001b[0m: Coś poszło nie tak!"
|
"\u001b[0;31mMyError\u001b[0m: Coś poszło nie tak!"
|
||||||
]
|
],
|
||||||
|
"output_type": "error"
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -1,3 +1,10 @@
|
|||||||
#!/usr/bin/env python2
|
#!/usr/bin/env python2
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
|
|
||||||
|
def is_numeric(lista):
|
||||||
|
result=[]
|
||||||
|
for i in range(len(lista)):
|
||||||
|
result.append(isinstance(lista[i], (int,float)))
|
||||||
|
print (result)
|
||||||
|
|
||||||
|
is_numeric([1,'a',3.7])
|
@ -1,3 +1,8 @@
|
|||||||
#!/usr/bin/env python2
|
#!/usr/bin/env python2
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
|
|
||||||
|
class Employee:
|
||||||
|
def __init__(self, imie, nazwisko):
|
||||||
|
|
||||||
|
def get_id():
|
||||||
|
return(id)
|
@ -1,3 +1,56 @@
|
|||||||
#!/usr/bin/env python2
|
#!/usr/bin/env python2
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
|
|
||||||
|
#Zaimplementuj własny wyjątek ``DimensionError``, który zostaje wyrzucony, jeżeli dodawany punkt ma inny wymiar.
|
||||||
|
class DimensionError(Exception):
|
||||||
|
pass
|
||||||
|
|
||||||
|
#Stwórz klasę ``Point``, która będzie reprezentować punkt w przestrzeni wielowymiarowej:
|
||||||
|
class Point:
|
||||||
|
# * Konstruktor ma przyjąc tylko 1 parametr: listę współrzednych.
|
||||||
|
def __init__(self, vertexes):
|
||||||
|
self.vertexes = vertexes
|
||||||
|
|
||||||
|
#sprawdź, czy lista zawiera wyłącznie liczby.
|
||||||
|
def is_numeric(vertexes):
|
||||||
|
if isinstance(vertexes,(float,int))==True:
|
||||||
|
pass
|
||||||
|
else:
|
||||||
|
print("list does not contain only numbers")
|
||||||
|
|
||||||
|
#Napisz metodę add, która doda dwa punkty po współrzędnych i zwróci obiekt typu ``Punkt``. Zaimplementuj własny wyjątek ``DimensionError``, który zostaje wyrzucony, jeżeli dodawany punkt ma inny wymiar.
|
||||||
|
def add(self, newpoint):
|
||||||
|
sum=[]
|
||||||
|
if len(newpoint)!=len(self.vertexes):
|
||||||
|
raise DimensionError("Dimensions does not match")
|
||||||
|
else:
|
||||||
|
for i in range(len(newpoint)):
|
||||||
|
sum.append(self.vertexes[i] + newpoint[i])
|
||||||
|
return Point(sum)
|
||||||
|
|
||||||
|
|
||||||
|
#Napisz metodę ``to\_string``, która zwróci łancuch znakowy, który w czytelny sposób przedstawi punkt.
|
||||||
|
def to_string(self):
|
||||||
|
return str(self.vertexes)
|
||||||
|
def __to_string__(self):
|
||||||
|
return self.to_string()
|
||||||
|
#Napisz metodę __len__, która zwróci liczbę współrzędnych punktu.
|
||||||
|
def how_many(self):
|
||||||
|
return len(self.vertexes)
|
||||||
|
def __len__(self):
|
||||||
|
return self.how_many()
|
||||||
|
|
||||||
|
#Zobacz, czy możesz teraz wywołać funkcję len na obiekcie typu punkt.
|
||||||
|
figures = [2,1,3,4,2,7]
|
||||||
|
my_point = Point(figures)
|
||||||
|
no_of_coordinates=len(my_point)
|
||||||
|
print("Number of coordinates: ")
|
||||||
|
print(no_of_coordinates)
|
||||||
|
|
||||||
|
#Wyświetl obiekt typy Point korzystając z funkcji print.
|
||||||
|
print("Coordinates as a string: ")
|
||||||
|
print(my_point.to_string())
|
||||||
|
|
||||||
|
B=[2,1,2,3,1]
|
||||||
|
my_sum=Point(B)
|
||||||
|
my_point.add(B)
|
||||||
|
@ -1,15 +1,36 @@
|
|||||||
#!/usr/bin/env python
|
#!/usr/bin/env python
|
||||||
# -*- coding: utf-8 -*-
|
# -*- coding: utf-8 -*-
|
||||||
|
import os;
|
||||||
|
os.chdir('J:\PycharmProjects\Python2017\labs06')
|
||||||
|
import pandas as pd
|
||||||
|
import numpy as np
|
||||||
|
import matplotlib.pyplot as plt
|
||||||
|
import matplotlib
|
||||||
|
matplotlib.style.use('ggplot')
|
||||||
|
plt.rcParams['figure.figsize'] = (15, 5)
|
||||||
|
|
||||||
def wczytaj_dane():
|
def wczytaj_dane():
|
||||||
|
dane = pd.read_csv('mieszkania.csv', sep=',')
|
||||||
|
dane.rename(columns={'Unnamed: 11': 'Borough'}, inplace=True)
|
||||||
|
#type(dane)
|
||||||
|
#print(dane.head())
|
||||||
|
return(dane)
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def most_common_room_number(dane):
|
def most_common_room_number(dane):
|
||||||
|
m = dane.groupby(['Rooms']).count()
|
||||||
|
return(m['Id'].idxmax())
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
def cheapest_flats(dane, n):
|
def cheapest_flats(dane, n):
|
||||||
|
dane2 = dane.sort_values(by=['Expected'])
|
||||||
|
return(dane2.head(n))
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def find_borough(desc):
|
def find_borough(desc):
|
||||||
dzielnice = ['Stare Miasto',
|
dzielnice = ['Stare Miasto',
|
||||||
'Wilda',
|
'Wilda',
|
||||||
@ -19,24 +40,54 @@ def find_borough(desc):
|
|||||||
'Winogrady',
|
'Winogrady',
|
||||||
'Miłostowo',
|
'Miłostowo',
|
||||||
'Dębiec']
|
'Dębiec']
|
||||||
|
tekst = desc.split(" ")
|
||||||
|
for i in range(len(tekst)):
|
||||||
|
for j in range(len(dzielnice)):
|
||||||
|
if tekst[i] == dzielnice[j]:
|
||||||
|
return(dzielnice[j])
|
||||||
|
else:
|
||||||
|
j = j + 1
|
||||||
|
i = i + 1
|
||||||
|
return('Inne')
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def add_borough(dane):
|
def add_borough(dane):
|
||||||
|
for i in range(5000):#len(dane.axes[0])):
|
||||||
|
dane['Borough'][i] = find_borough(dane['Location'][i])
|
||||||
|
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def write_plot(dane, filename):
|
def write_plot(dane, filename):
|
||||||
|
my_plot = dane['Borough'].hist()
|
||||||
|
fig = my_plot.get_figure()
|
||||||
|
|
||||||
|
dir_name = 'J:/PycharmProjects/Python2017/labs06/'
|
||||||
|
filename_suffix = 'pdf'
|
||||||
|
fig.savefig(os.path.join(dir_name, filename + "." + filename_suffix))
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def mean_price(dane, room_number):
|
def mean_price(dane, room_number):
|
||||||
|
m = dane.groupby(['Rooms']).mean()
|
||||||
|
return(m['Expected'][room_number])
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def find_13(dane):
|
def find_13(dane):
|
||||||
|
df_filtered = dane[dane['Floor'] == 13]
|
||||||
|
return(df_filtered['Borough'])
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def find_best_flats(dane):
|
def find_best_flats(dane):
|
||||||
|
df_filtered = dane[dane['Floor'] == 1]
|
||||||
|
df_filtered2=df_filtered[df_filtered['Borough']=='Winogrady']
|
||||||
|
df_filtered3 = df_filtered2[df_filtered2['Rooms'] == 3]
|
||||||
pass
|
pass
|
||||||
|
|
||||||
|
|
||||||
def main():
|
def main():
|
||||||
dane = wczytaj_dane()
|
dane = wczytaj_dane()
|
||||||
print(dane[:5])
|
print(dane[:5])
|
||||||
@ -45,7 +96,7 @@ def main():
|
|||||||
.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)))
|
||||||
|
Loading…
Reference in New Issue
Block a user