commited tasks

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 +5,11 @@
  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 or year % 400 == 0):
+        return 366
+    else:
+        return 365
 
 def tests(f):
     inputs = [[2015], [2012], [1900], [2400], [1977]]

labs02/task03.py

@@ -13,7 +13,12 @@ jak 'set', która przechowuje elementy bez powtórzeń.)
 
 
 def oov(text, vocab):
-    pass
+    test_list = []
+    _textSPlit =text.split(" ")
+    for i in _textSPlit:
+        if i not in vocab:
+            test_list.append(i)
+    return test_list
 
 
 

labs02/task04.py

@@ -7,7 +7,13 @@ Jeśli podany argument jest mniejszy od 1 powinna być zwracana wartość 0.
 """
 
 def sum_from_one_to_n(n):
-    pass
+    if n < 0:
+        return 0
+    else:
+        x = 0
+        for i in range(n+1):
+            x = x + i
+    return x
 
 
 def tests(f):

labs02/task05.py

@@ -10,7 +10,11 @@ np. odległość pomiędzy punktami (0, 0, 0) i (3, 4, 0) jest równa 5.
 """
 
 def euclidean_distance(x, y):
-    pass
+    dist = 0
+    for i in range(len(x)):
+        dist += (x[i]-y[i])**2
+    dist = dist**0.5
+    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:
+        out = "It's not a Big 'No!'"
+    else:
+        out = "N"
+        for i in range(n):
+            out += "O"
+        out += "!"
+    return out
 
 def tests(f):
     inputs = [[5], [6], [2]]

labs02/task07.py

@@ -6,7 +6,12 @@ Napisz funkcję char_sum, która dla zadanego łańcucha zwraca
 sumę kodów ASCII znaków.
 """
 def char_sum(text):
-    pass
+    sumaAsci = 0
+    text_tmp = text
+
+    for i in text_tmp:
+         sumaAsci += ord(i)
+    return sumaAsci
 
 def tests(f):
     inputs = [["this is a string"], ["this is another string"]]

labs02/task08.py

@@ -7,7 +7,13 @@ przez 3 lub 5 mniejszych niż n.
 """
 
 def sum_div35(n):
-    pass
+    suma = 0
+    i = 0
+    while i < n:
+        if i%3 == 0 or i%5 == 0:
+            suma += i
+        i += 1
+    return suma
 
 def tests(f):
     inputs = [[10], [100], [3845]]

labs02/task09.py

@@ -9,8 +9,20 @@ Np. leet('leet') powinno zwrócić '1337'.
 
 
 def leet_speak(text):
-    pass
-
+    text_tmp = text
+    lista_temp = ""
+    for i in text_tmp:
+        if i =='e':
+            lista_temp += '3'
+        elif i =='l':
+            lista_temp += '1'
+        elif i =='o':
+            lista_temp += '0'
+        elif i =='t':
+            lista_temp +='7'
+        else:
+            lista_temp +=i
+    return lista_temp
 
 def tests(f):
     inputs = [['leet'], ['do not want']]

labs02/task10.py

@@ -9,7 +9,23 @@ na wielką. Np. pokemon_speak('pokemon') powinno zwrócić 'PoKeMoN'.
 
 
 def pokemon_speak(text):
-    pass
+    #spacja Asci 32
+
+    lista_temp = ""
+    j = 1
+
+    for i in text:
+        if ord(i) == 32:
+            j=1
+            lista_temp += i
+        else:
+            if j%2 == 0:
+                lista_temp += i
+            else:
+                lista_temp += i.upper()
+        j += 1
+    return lista_temp
+
 
 
 def tests(f):

labs02/task11.py

@@ -9,7 +9,21 @@ Oba napisy będą składać się wyłacznie z małych liter.
 """
 
 def common_chars(string1, string2):
-    pass
+    string1=''.join(sorted(string1))
+    string1 = string1.strip(' ')
+    #print string1
+    string2 = ''.join(sorted(string2))
+    string2 = string2.strip(' ')
+    #print string2
+    slist = list()
+    for char in string1:
+        count=string2.count(char)
+        if count > 0:
+            if char not in slist:
+                slist.append(char)
+    #print(slist)
+    return(slist)
+
 
 
 def tests(f):

labs03/Podstawy 2.ipynb

@@ -232,13 +232,13 @@
     {
      "ename": "TypeError",
      "evalue": "unhashable type: 'list'",
-     "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
       "\u001b[0;32m<ipython-input-25-2bd2fa17fbf5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
       "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [
@@ -398,13 +398,13 @@
     {
      "ename": "ValueError",
      "evalue": "I/O operation on closed file.",
-     "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
       "\u001b[0;32m<ipython-input-47-f06513c1bbec>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mlinia\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mplik\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadlines\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[1;32m      3\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlinia\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \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[0m",
       "\u001b[0;31mValueError\u001b[0m: I/O operation on closed file."
-     ]
+     ],
+     "output_type": "error"
     }
    ],
    "source": [

labs03/task01

@@ -0,0 +1,4 @@
+
+print(id(2))
+print(id("Ala ma kotA"))
+print(id([1, 3, 11]))

labs03/task02.py

@@ -0,0 +1,15 @@
+#task02
+#Fibonacci
+
+def fibonacci(n):
+    if n <= 1:
+        return n
+    else:
+        return fibonacci(n-2) + fibonacci(n-1)
+
+print(fibonacci(0))
+print(fibonacci(1))
+print(fibonacci(2))
+print(fibonacci(3))
+print(fibonacci(4))
+print(fibonacci(20))

labs03/task03.py

@@ -0,0 +1,16 @@
+
+#task 03
+
+
+import requests
+
+url = "https://api.fixer.io/latest"
+
+response = requests.get(url)
+
+ALLData = response.json()
+
+CurrancyPLN = ALLData['rates']
+
+print("Kurs EURO: {} PLN".format(CurrancyPLN['PLN']))
+

labs03/task04.py

@@ -0,0 +1,55 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+**ćwiczenie 4**
+Zainstaluj bibliotekę ``weather-api`` (https://pypi.python.org/pypi/weather-api). Korzystając z niej:
+ * Wypisz informacje o aktualnej pogodzie.
+ * Napisz funkcję, która zamieni stopnie ``F`` na ``C``.
+ * Korzystając z prognozy, znajdź dzień, w którym będzie najzimniej. Wypisz nazwę tygodnia (w języku polskim) i temperaturę w C.
+"""
+#task04
+
+from weather import Weather
+DD = {'Mon':'Poniedziałek','Tue':'Poniedziałek','Wed':'Środa','Thu':'Czwartek','Fri':'Piątek','Sat':'Sobota','Sun':'Niedziela'}
+MM = {'Jan':'Styczeń','Feb':'Luty','Mar':'Marzec','Apr':'Kwiecień','May':'Maj','Jun':'Czerwiec','Jul':'Lipiec','Aug':'Sierpień','Sep':'Wrzesień','Oct':'Październik','Nov':'Listopad','Dec':'Grudzień'}
+
+def ConvertF_TO_C (F):
+    conF = round((float(F) - 32) / 1.8,1)
+    return conF
+
+weather = Weather()
+
+miasto ='Poznań'
+location = weather.lookup_by_location(miasto)
+
+condition = location.condition()
+OgolnieP = condition.text()
+dataP = condition.date()
+TempC = ConvertF_TO_C(condition.temp())
+
+ddayD=dataP.split(',')[0]
+dday=dataP.split(' ')[1]
+MMonth=dataP.split(' ')[2]
+YYYY=dataP.split(' ')[3]
+
+print"Data = ", dday, '-',MM[MMonth], '-', YYYY, "  ", DD[ddayD]
+print "Pogoda ogólnie (ang.) = ", OgolnieP
+print "Temperatura = ", TempC, " C"
+
+forcst = location.forecast()
+tmin = condition.temp()
+dmin = condition.date()
+
+for fc in forcst:
+    if fc.low() < tmin:
+        dmin = fc.date()
+        tmin = fc.low()
+
+print("Prognoza:")
+
+dmin = dmin.split(' ')
+MMonth=dmin[1]
+
+print "Min temp: ", tmin, " C"
+print "W dniu: ",dmin[0] , "-",MM[MMonth] ,'-', dmin[2]
+

labs03/task05.py

@@ -0,0 +1,28 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+#task05
+
+import os
+import glob
+
+BLEUValue = 0
+BLEUFileMax = ''
+
+for Fname in glob.glob(os.getcwd() + '\scores\*.bleu'):
+    with open(Fname, 'r') as fp:
+        #print(fp.name)
+        for lineFile in fp:
+            iList=lineFile
+            iList= iList.split(',')
+            #print(iList)
+            BLEUValueTmp = iList[0][7:]
+            BLEUValueTmp = float(BLEUValueTmp)
+            #print(BLEUValueTmp)
+            if BLEUValueTmp > BLEUValue:
+                BLEUValue = BLEUValueTmp
+                BLEUFileMax = fp.name
+    fp.close
+
+print "Max:", BLEUValue
+print "File Name: ", BLEUFileMax

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 +1,11 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+def isNumeric(x):
+    for i in range(len(x)):
+        if isinstance(x[i], (int , float ))==False:
+            return False
+    return True
+
+print(isNumeric([1,4,4.8,1]))
+

labs04/task02.py

@@ -1,3 +1,58 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+class Employee:
+    id_prac = 0
+    def __init__ (self,imie, nazwisko):
+        Employee.id_prac += 1
+        self.imie = imie
+        self.nazwisko = nazwisko
+        self.id_prac = Employee.id_prac
+
+    def get_id (self):
+        return self.id_prac
+
+
+class Recruiter (Employee):
+    def __int__(self,imieR, nazwiskoR):
+        Employee.__init__(self,imieR, nazwiskoR)
+        self.recruited=[]
+
+    def recruit(self,id):
+        self.recruited.append(id)
+
+    def __str__(self):
+        return '<Rekruter %s,%s,%s>' % (self.imieR, self.nazwiskoR, self.recruited)
+
+class Programmer(Recruiter):
+    def __int__(self,imieP,nazwiskoP,rekruter):
+        Recruiter.__init__(self,imieP,nazwiskoP)
+        Recruiter.id_prac = rekruter
+
+    def __str__(self):
+        return '<Programista %s,%s, został zrekrutowany przez rekrutera o ID = >' % (self.imieP, self.nazwiskoP, Recruiter.id_prac)
+
+
+prac1 = Employee("X1","Y1")
+prac2 = Employee("X2","Y2")
+prac3 = Employee("XY","Y3")
+
+print(prac1.get_id())
+print(prac2.get_id())
+print(prac3.get_id())
+
+print(Employee.id_prac )
+
+prac4 = Recruiter('Rek1', 'RekN1')
+print(prac4.imie)
+print(prac4.nazwisko)
+print(prac4.id_prac)
+
+#to mi jeszcze nie działa
+#prac5 = Programmer('Bozena','Bozeniasta', 4)
+#print(prac5.imie)
+#print(prac5.nazwisko)
+#print(prac5.id_prac)
+#print(prac5.get_id())
+
+

labs04/task03.py

@@ -1,3 +1,28 @@
 #!/usr/bin/env python2
 # -*- coding: utf-8 -*-
 
+
+class DimensionError(Exception):
+    def __init__(self):
+        super().__init__(self)
+        self.msg = 'Błąd !!!'
+
+
+class Point():
+    def __int__(self,wspolrzedne):
+        if self.isNumeric(wspolrzedne):
+            self.wspolrzedne = wspolrzedne
+        else:
+            self.wspolrzedne = None
+
+
+    def isNumeric(x):
+        for i in range(len(x)):
+            if isinstance(x[i], (int, float)) == False:
+                return False
+        return True
+
+
+pkt1 = Point([1, 1, 1])
+
+pkt2 = Point([3, 3, 3])

labs05/task00.py

@@ -2,10 +2,10 @@
 # -*- coding: utf-8 -*-
 
 def suma(liczby):
-    pass
+    return sum(liczby)
 
 def main():
-    print(summa([1, 2, 3, 4]))
+    print(suma([1, 2, 3, 4]))
 
 if __name__ == "__main__":
     main()

labs05/task01.py

@@ -0,0 +1,15 @@
+#!/usr/bin/env python2
+# -*- coding: utf-8 -*-
+
+import task00
+import sys
+
+
+def main():
+    print(sys.argv)
+    
+    task00.suma()
+
+
+if __name__ == "__main__":
+    main()

labs06/task02.py

@@ -1,14 +1,38 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 
+import sys
+reload(sys)
+sys.setdefaultencoding("utf-8")
+
+import pandas as pd
+
+
 def wczytaj_dane():
-    pass
+    rooms_data = pd.read_csv('mieszkania.csv',  # ścieżka  do pliku
+                            sep=',',  # separator
+                            encoding='utf-8',  # kodowanie
+                            index_col='Id')  # ustawienie indeksu na kolumnę Date
+    return rooms_data
 
 def most_common_room_number(dane):
-    pass
+    d=dane['Rooms']
+    d= d.value_counts()
+    j=0
+    """
+    for i in d:
+        print d.index[j] , i
+        j +=1
+    """
+    d = d.index[0]
+    return d
+
 
 def cheapest_flats(dane, n):
-    pass
+    SortDane = dane.sort_values('Expected',ascending=True)
+    PriceCheapest = SortDane['Expected']
+    PriceCheapest = PriceCheapest.head(n)
+    return PriceCheapest
 
 def find_borough(desc):
     dzielnice = ['Stare Miasto',
@@ -19,36 +43,74 @@ def find_borough(desc):
                  'Winogrady',
                  'Miłostowo',
                  'Dębiec']
-    pass
+    for district in dzielnice:
+        if district in desc: return district
+    return 'Inne'
 
 
 def add_borough(dane):
-    pass
+    boroughArr = []
+    for current_location in dane:
+        findborough =  find_borough(current_location)
+        #print current_location , findborough
+        boroughArr.append(findborough)
+    return pd.Series(boroughArr)
 
 def write_plot(dane, filename):
-    pass
+    add_borough(dane)
+    hist_data = dane['Borough'].value_counts()
+    Hist_out = hist_data.plot(kind='bar', alpha=0.5, title="Appartments in Distrinct",fontsize=5, figsize=(7, 5))
+    fig = Hist_out.get_figure()
+    fig.savefig(filename)
 
 def mean_price(dane, room_number):
-    pass
+    AVGdane = dane[dane.Rooms == room_number]
+    AVGdane = round(AVGdane.Expected.mean(),2)
+    return AVGdane
+
 
 def find_13(dane):
-    pass
+    add_borough(dane)
+    List_13 = []
+    WhatLookFor = dane['Borough'].loc[dane['Floor'] == 13]
+    for j in WhatLookFor:
+        List_13.append(j)
+    return List_13
 
 def find_best_flats(dane):
-    pass
+    add_borough(dane)
+    TheBest = dane[(dane.Borough == 'Winogrady') & (dane.Rooms == 3) & (dane.Floor == 1)]
+    return TheBest
 
 def main():
     dane = wczytaj_dane()
-    print(dane[:5])
+    #print(dane[:5])
+
 
     print ("Najpopularniejsza liczba pokoi w mieszkaniu to: {}"
           .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)))
 
+    roomCheapest = cheapest_flats(dane, 5)
+    print roomCheapest
+
+    district = add_borough(dane['Location'])
+    dane['Borough'] = district.values
+    #print(dane[:5])
+
+    write_plot(dane, 'plot.png')
+
+    list_13 = find_13(dane)
+    print list_13
+
+    TheBestFlat = find_best_flats(dane)
+    print TheBestFlat['Location']
+
+
 if __name__ == "__main__":
     main()