[homework lab6] ready for review

homeworks/results.md

@@ -1,38 +1,24 @@
-ID       |  labs02:task07  |  labs02:task08  |  labs02:task09  |  labs02:task10  |  labs02:task11  |  labs03  |  labs04  |  labs06  | Punkty | Ocena |
----------|-----------------|-----------------|-----------------|-----------------|-----------------|----------|----------|----------|--------|-------|
-s45146   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45147   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45148   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45150   |  1              |  1              |  1              |  1              |  1              |  2       |  1       |  8       |  16    | 4     |
-s45151   |  1              |  1              |  1              |  1              |  1              |  0       |  5       |  8       |  18    | 4.5   |
-s45152   |  1              |  1              |  1              |  0              |  1              |  0       |  5       |  8       |  17    | 4     |
-s45153   |  0              |  1              |  1              |  1              |  1              |  4       |  0       |  8       |  16    | 4     |
-s45155   |  1              |  1              |  1              |  1              |  1              |  1       |  5       |  8       |  19    | 4.5   |
-s45156   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45157   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45158   |  1              |  1              |  0              |  0              |  1              |  4       |  5       |  8       |  19    | 4.5   |
-s45159   |  1              |  1              |  1              |  1              |  1              |  2       |  3       |  8       |  18    | 4.5   |
-s45160   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45161   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45162   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45163   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-s45164   |  1              |  1              |  0              |  1              |  0              |  0       |  5       |  8       |  16    | 4     |
-s45165   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45166   |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  8       |  22    | 5     |
-s45167   |  1              |  1              |  1              |  1              |  1              |  0       |  5       |  8       |  17    | 4     |
-s45168   |  0              |  0              |  0              |  0              |  0              |  0       |  0       |  0       |   0    | 2     |
-s45452   |  1              |  1              |  1              |  1              |  1              |  4       |  4       |  8       |  21    | 5     |
-szwedek  |  1              |  1              |  1              |  1              |  1              |  4       |  5       |  10      |  24    | 5     |
-
-Skala:
-
-Punkty | Ocena |
--------|-------|
-24-20  |   5   |
-19-18  | 4.5   |
-17-16  |   4   |
-15-13  |   3   |
-12-0   |   2   |
-
-
-Max: 22
+ID       |  labs02:task07  |  labs02:task08  |  labs02:task09  |  labs02:task10  |  labs02:task11
+---------|-----------------|-----------------|-----------------|-----------------|---------------
+s45168   |  0              |  0              |  0              |  0              |  0
+s45162   |  1              |  1              |  1              |  1              |  1
+s45158   |  1              |  1              |  0              |  0              |  1
+szwedek  |  1              |  1              |  1              |  1              |  1
+s45155   |  1              |  1              |  1              |  1              |  1
+s45152   |  1              |  1              |  1              |  0              |  1
+s45148   |  1              |  1              |  1              |  1              |  1
+s45166   |  1              |  1              |  1              |  1              |  1
+s45151   |  1              |  1              |  1              |  1              |  1
+s45146   |  1              |  1              |  1              |  1              |  1
+s45150   |  1              |  1              |  1              |  1              |  1
+s45452   |  1              |  1              |  1              |  1              |  1
+s45165   |  1              |  1              |  1              |  1              |  1
+s45160   |  1              |  1              |  1              |  1              |  1
+s45153   |  0              |  0              |  0              |  0              |  0
+s45156   |  1              |  1              |  1              |  1              |  1
+s45157   |  0              |  0              |  1              |  1              |  1
+s45167   |  1              |  1              |  1              |  1              |  1
+s45147   |  1              |  0              |  0              |  1              |  0
+s45159   |  0              |  0              |  0              |  0              |  0
+s45161   |  1              |  1              |  1              |  1              |  1
+s45164   |  1              |  1              |  0              |  1              |  0

labs02/task01.py

@@ -7,7 +7,7 @@ która zawiera tylko elementy z list o parzystych indeksach.
 """
 
 def even_elements(lista):
-    pass
+    return lista[::2]
 
 
 def tests(f):

labs02/task02.py

@@ -5,8 +5,15 @@
  Napisz funkcję days_in_year zwracającą liczbę dni w roku (365 albo 366).
 """
 
-def days_in_year(days):
-    pass
+def days_in_year(year):
+    if year % 4 == 0 and year % 100 == 0 and year % 400 == 0:
+        return 366
+    elif year % 4 == 0 and year % 100 != 0:
+        return 366
+    elif year % 4 == 0 and year % 100 == 0 and year % 400 != 0:
+        return 365
+    else:
+        return 365
 
 def tests(f):
     inputs = [[2015], [2012], [1900], [2400], [1977]]

labs02/task03.py

@@ -13,7 +13,11 @@ jak 'set', która przechowuje elementy bez powtórzeń.)
 
 
 def oov(text, vocab):
-    pass
+    s=set()
+    for i in text.split():
+        if i not in vocab:
+            s.add(i)
+    return s
 
 
 

labs02/task04.py

@@ -7,7 +7,14 @@ Jeśli podany argument jest mniejszy od 1 powinna być zwracana wartość 0.
 """
 
 def sum_from_one_to_n(n):
-    pass
+    if n<1:
+        return 0
+    else:
+        x=0
+        for i in range (n+1):
+           x=x+i
+        return x
+
 
 
 def tests(f):

labs02/task05.py

@@ -9,8 +9,11 @@ trzyelementowe listy liczb zmiennoprzecinkowych.
 np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
 """
 
+
+
 def euclidean_distance(x, y):
-    pass
+    dist=((x[0]-y[0])**2+(x[1]-y[1])**2+(x[2]-y[2])**2)**(1/2)
+    return dist
 
 def tests(f):
     inputs = [[(2.3, 4.3, -7.5), (2.3, 8.5, -7.5)]]

labs02/task06.py

@@ -10,7 +10,14 @@ ma być zwracany napis "It's not a Big 'No!'".
 """
 
 def big_no(n):
-    pass
+    if n<5:
+        return("It's not a Big 'No!'")
+    else:
+        tekst="N"
+        for i in range (n):
+            tekst += "O"
+        tekst += "!"
+        return(tekst)
 
 def tests(f):
     inputs = [[5], [6], [2]]

labs02/task07.py

@@ -6,7 +6,10 @@ Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
 sumę kodów ASCII znaków.
 """
 def char_sum(text):
-    pass
+    suma=0
+    for i in range (len(text)):
+        suma+=ord(text[i])
+    return(suma)
 
 def tests(f):
     inputs = [["this is a string"], ["this is another string"]]

labs02/task08.py

@@ -7,7 +7,12 @@ przez 3 lub 5 mniejszych niż n.
 """
 
 def sum_div35(n):
-    pass
+    suma=0
+    for i in range(n):
+        if i%3==0 or i%5==0:
+            suma+=i
+    return(suma)
+
 
 def tests(f):
     inputs = [[10], [100], [3845]]

labs02/task09.py

@@ -9,7 +9,7 @@ Np. leet('leet') powinno zwrócić '1337'.
 
 
 def leet_speak(text):
-    pass
+    return(text.replace("e","3").replace("l", "1").replace("o", "0").replace("t", "7"))
 
 
 def tests(f):

labs02/task10.py

@@ -9,7 +9,14 @@ na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
 
 
 def pokemon_speak(text):
-    pass
+    for i in range(len(text)):
+        if i == 0:
+            mytext=''.join(['', text[i].upper()])
+        elif i % 2 == 0:
+            mytext = ''.join([mytext[:i], text[i].upper()])
+        else:
+            mytext = ''.join([mytext[:i], text[i]])
+    return (mytext)
 
 
 def tests(f):

labs02/task11.py

@@ -9,7 +9,14 @@ Oba napisy będą składać się wyłacznie z małych liter.
 """
 
 def common_chars(string1, string2):
-    pass
+    s=[]
+    s1 = list(set(string1.replace(' ','')))
+    s2 = list(set(string2.replace(' ','')))
+    for i in s1:
+        if i  in s2:
+            s.append(i)
+    s.sort()
+    return s
 
 
 def tests(f):

labs03/scores/model.iter410000.npz.bleu

@@ -1 +0,0 @@
-BLEU = 17.66, 49.6/22.6/12.3/7.0 (BP=1.000, ratio=1.019, hyp_len=43697, ref_len=42903)

labs03/task01.py

@@ -0,0 +1,8 @@
+lista=[1,2,3,4,5,23,4,1,2,3]
+print (id(lista))
+
+napis='Hello'
+print (id(napis))
+
+zmiennoprzecinkowa=12.233
+print (id(zmiennoprzecinkowa))

labs03/task05.py

@@ -0,0 +1,16 @@
+import glob
+import re
+files=glob.glob("scores\*.*")
+c=[]
+for file in files:
+    with open(file, 'r') as current_file:
+        a=current_file.read(12)
+        a=a[7:12]
+        a = [float(i) for i in re.findall(r"[-+]?\d*\.\d*", a)]
+        c.append(a)
+c[0]
+w=c.index(max(c))
+myfile=files[w]
+import os
+print (os.getcwd()+"\\"+ myfile)
+

labs04/Klasy.ipynb

@@ -309,13 +309,13 @@
     {
      "ename": "AttributeError",
      "evalue": "'Parser' object has no attribute '__parse'",
-     "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\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;31mAttributeError\u001b[0m: 'Parser' object has no attribute '__parse'"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [
@@ -465,13 +465,13 @@
     {
      "ename": "FileNotFoundError",
      "evalue": "[Errno 2] No such file or directory: 'nieistniejący_plik.txt'",
-     "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\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;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'nieistniejący_plik.txt'"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [
@@ -614,13 +614,13 @@
     {
      "ename": "MyError",
      "evalue": "Coś poszło nie tak!",
-     "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\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;31mMyError\u001b[0m: Coś poszło nie tak!"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [

labs04/task01.py

@@ -1,3 +1,10 @@
 #!/usr/bin/env python2
 # -*- 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])

labs04/task02.py

@@ -1,3 +1,8 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+class Employee:
+    def __init__(self, imie, nazwisko):
+
+    def get_id():
+        return(id)

labs04/task03.py

@@ -1,3 +1,56 @@
 #!/usr/bin/env python2
 # -*- 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)

labs06/task02.py

@@ -1,15 +1,36 @@
 #!/usr/bin/env python
 # -*- 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():
+    dane = pd.read_csv('mieszkania.csv', sep=',')
+    dane.rename(columns={'Unnamed: 11': 'Borough'}, inplace=True)
+    #type(dane)
+    #print(dane.head())
+    return(dane)
     pass
 
+
 def most_common_room_number(dane):
+    m = dane.groupby(['Rooms']).count()
+    return(m['Id'].idxmax())
     pass
 
+
+
 def cheapest_flats(dane, n):
+    dane2 = dane.sort_values(by=['Expected'])
+    return(dane2.head(n))
     pass
 
+
 def find_borough(desc):
     dzielnice = ['Stare Miasto',
                  'Wilda',
@@ -19,24 +40,54 @@ def find_borough(desc):
                  'Winogrady',
                  'Miłostowo',
                  '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
 
 
 def add_borough(dane):
+    for i in range(5000):#len(dane.axes[0])):
+        dane['Borough'][i] = find_borough(dane['Location'][i])
+
     pass
 
+
 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
 
+
 def mean_price(dane, room_number):
+    m = dane.groupby(['Rooms']).mean()
+    return(m['Expected'][room_number])
     pass
 
+
 def find_13(dane):
+    df_filtered = dane[dane['Floor'] == 13]
+    return(df_filtered['Borough'])
     pass
 
+
 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
 
+
 def main():
     dane = wczytaj_dane()
     print(dane[:5])
@@ -45,7 +96,7 @@ 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)))