Class Information:
def __init__(self):
self.name = 200
def ajust(self):
self.name = 250
Class Jesus:
def __init__(self):
self.age = 10
def ajust(self):
self.age = 20
Printdata = Information()
print(Printdata.name)
________________________
Result: >>> 200
This print is printing out the first name value. how can i get it to print the value after calling ajust? i want it to print 250, not 200. i have looked all over stackoverflow to find a solution. Keep in mind this is not my actual code, just a simple example to showcase my issue.
You need to call ajust() first
Printdata = Information()
Printdata.ajust()
print(Printdata.name)
However once you call it name will always be 250, I suggest you use property instead to allow more changes
class Information:
def __init__(self):
self.__name = 200
#property
def name(self):
return self.__name
#name.setter
def name(self, value):
self.__name = value
information = Information()
print(information.name) # 200
information.name = 250
print(information.name) # 250
Let's take a look at what's going on here behind the scenes.
Your class information has a constructor(in python these are defined by the method __init__(self).
When you call Information(), in reality you are calling the constructor, which returns an instance of your object, in this case an Information object, it also sets name to 200.
So when you print name on a newly built Information, name will be 200.
You have an ajust method. But you'll need to call it in order to update the name variable inside the class.
So your order of events should be: Build the class, call ajust, print name
Related
I have a parent class as follows:
class student:
def __init__(self, name, age, field):
self.name = name
self.age = age
self.field = field
def abilities(self):
abs = ["study", "drink", "party"]
action = np.random.choice(abs, replace = True)
return(action)
Now upon graduation this student becomes a grown-up and his abilities change:
class adult(student):
def abilities(self):
super().abilities()
abs.append("work")
abs.remove("party")
if action == work:
print("paying off that student loan")
This does not work. The error I get is: name 'abs' is not defined.
Now I tried to access the abilities method in the parent class by using super().abilities.abs but then I am referring to the object the function returns and with self.abilities.abs, but then I refer to the class.
Any suggestions as to how to access the array within the parent method from the child are much appreciated.
There are a few flaws in the code you wrote:
You are overwritting a built in function abs in your code. This should not be done.
You are calling super().abilities(), which returns a value without storing and using it.
When calling abs.append("work") you are trying to assign a value to a build in function and not the local variable abs from the parent. Extracting this to a object variable solves the issue. See, self.abs in the constructor
The adult abilities method is not returning anything.
You are not calling the super constructor in adult, which results in adult not storing any of the values passed in the constructor.
A fixed version could look as follows:
import numpy as np
class student:
def __init__(self, name, age, field):
self.name = name
self.age = age
self.field = field
self.abs = ["study", "drink", "party"]
def abilities(self):
action = np.random.choice(self.abs, replace = True)
return action
class adult(student):
def __init__(self, name, age, field):
super(adult, self).__init__(name, age, field)
self.abs.append("work")
self.abs.remove("party")
def abilities(self):
action = super().abilities()
if action == "work":
print("paying off that student loan")
return action
In addition to solving this issue, you should review the object inheritance structure as mentioned in the comment by #chepner.
I would like to know if it's possible, and if yes, how to access attribute(s) of a "super" class instance, when having composition implemented.
Example provided below is only to provide idea here and setup common ground on further explanations.
I want to have access to "id" attribute for an instance of MiniVan directly from object "door" (type DoorElement).
My Code
class Car:
def __init__(self, _id):
self.id = _id
class CarElement:
def __init__(self, name):
self.name = name
def get_car_id(self):
# Body which will access value of attribute "id"
return car_id
class MiniVan(Car):
def __init__(self, _id):
super(MiniVan, self).__init__(_id)
self.door = DoorElement('door')
self.engine = EngineElement('engine')
class DoorElement(CarElement):
def __init__(self, name):
super(DoorElement, self).__init__(name)
class EngineElement(CarElement):
def __init__(self, name):
super(EngineElement, self).__init__(name)
def main():
mini_van = MiniVan(123)
id_from_door = mini_van.door.get_car_id()
id_from_engine = mini_van.engine.get_car_id()
print(id_from_door) # Expected output 123
print(id_from_engine) # Expected output 123
if __name__ == '__main__':
main()
Expected:
Printed out twice "123"
What I've tried:
Passing required attribute during creating object
I know that I could just define init method with passing "car_id" but for some reasons I would love to avoid it if possible. If not, I would propably just go for it.
to set class attribute, and then call it from CarElement class within classmethod e.g.:
#classmethod
def get_id(cls):
return Car.id
But issue with this solution is that, I can have many child-classes for Car class (MiniVan, Truck, etc.) and I want have it still working.
Trying to use descriptor
def __get__(self, instance, owner):
return instance.id
But I could understand it wrong, and actually getter (as far as I understand clean code) should return instance of a class and not any attribute.
Additional Info
I will ALWAYS use CarElement (or child classes) instances as attributes of instance of Car (or child classes) instances - different usage will be treated as use-error
There can be a lot of different child classes of Car class, but always within inheritance way ( Car <- RacingCar(Car) <- FormulaOneCar(RacingCar) ) but no composition
In order for your code to work, you would have to initialize all CarElement-s with car_id. Currently, the error you are getting comes from lack of such a variable in the scope of the method. My idea of a change is this:
class CarElement:
def __init__(self, name, car_id):
self.name = name
self.car_id = car_id
def get_car_id(self):
# Body which will access value of attribute id
return self.car_id
I can't see any other magic way.
I'm playing around with OOP in Python and I am trying to figure out some stuff related to inheritance. . I have some code here that has a few classes. A class called Blacksmith which behaves as expected and a class called Hero which I am trying to call a function from but I recieve an unexpected output.
class Character(object):
def __init__(self,name):
self.health=100
self.name = name
# self.player = player
def printName(self):
print self.name
#def printPlayerName(self):
# print self.player
class Blacksmith(Character):
def __init__(self,name, forgeName):
super(Blacksmith, self).__init__(name)
#self.name = "Billy"
self.forge = Forge(forgeName)
class Hero(Character):
playerName = "Player"
def __init__(self,name):
super(Hero, self).__init__(name)
def setplayername(self,inputplayername):
playerName = inputplayername
class Forge:
def __init__(self,forgeName):
self.name = forgeName
bs = Blacksmith("Billy", "Billy's Forge")
print bs.health
bs.printName()
print bs.forge.name
player1 = Hero("Methos")
print player1.name
player1.setplayername("Chris")
#print playher1.playerName
print player1.playerName
Output is:
raina#DESKTOP-291MTC0 ~/python
$ python learningoopclasses01.py
100
Billy
Billy's Forge
Methos
Player
Can anyone explain why this output says "Player" and not "Chris". Another question I have is I am not entirely sure how the init methods work. What does super do in these cases? What does calling init with a name value do exactly? Thanks.
__init__ is called when an object of that Class is created. With this method, we will also use the self variable to represent the instance of the object itself. It has to be explicitly declared in Python to be defined on an object.
For example,
class Student():
def __init__(self, score1, score2, score3):
self.scores = [score1, score2, score3]
If you want to assign scores to Student 1, you would only need to use because stu_1 already has score as an attribute in it:
stu_1 = Student(80, 90, 85)
In addition, __init__ also will notify you if any parameters are entered incorrectly according to what it has been set up.
super() is used to first call the parent(super) class of Blacksmith, which is Character, and allows you access Character's property.
The call to super() in Blacksmith's __init__ method is equal to its superclass, which in this case is Character.
You could also replace super(Blacksmith, self).__init__(name) with Character.__init__(self, name). The two are equivalent.
A slight adjustment to
def setplayername(self,inputplayername):
self.playerName = inputplayername
In the Hero class will fix it, if you don't want to change anything else.
One of my classes does a lot of aggregate calculating on a collection of objects, then assigns an attribute and value appropriate to the specific object: I.e.
class Team(object):
def __init__(self, name): # updated for typo in code, added self
self.name = name
class LeagueDetails(object):
def __init__(self): # added for clarity, corrected another typo
self.team_list = [Team('name'), ...]
self.calculate_league_standings() # added for clarity
def calculate_league_standings(self):
# calculate standings as a team_place_dict
for team in self.team_list:
team.place = team_place_dict[team.name] # a new team attribute
I know, as long as the calculate_league_standings has been run, every team has team.place. What I would like to be able to do is to scan the code for class Team(object) and read all the attributes, both created by class methods and also created by external methods which operate on class objects. I am getting a little sick of typing for p in dir(team): print p just to see what the attribute names are. I could define a bunch of blank attributes in the Team __init__. E.g.
class Team(object):
def __init__(self, name): # updated for typo in code, added self
self.name = name
self.place = None # dummy attribute, but recognizable when the code is scanned
It seems redundant to have calculate_league_standings return team._place and then add
#property
def place(self): return self._place
I know I could comment a list of attributes at the top class Team, which is the obvious solution, but I feel like there has to be a best practice here, something pythonic and elegant here.
If I half understand your question, you want to keep track of which attributes of an instance have been added after initialization. If this is the case, you could use something like this:
#! /usr/bin/python3.2
def trackable (cls):
cls._tracked = {}
oSetter = cls.__setattr__
def setter (self, k, v):
try: self.initialized
except: return oSetter (self, k, v)
try: self.k
except:
if not self in self.__class__._tracked:
self.__class__._tracked [self] = []
self.__class__._tracked [self].append (k)
return oSetter (self, k, v)
cls.__setattr__ = setter
oInit = cls.__init__
def init (self, *args, **kwargs):
o = oInit (self, *args, **kwargs)
self.initialized = 42
return o
cls.__init__ = init
oGetter = cls.__getattribute__
def getter (self, k):
if k == 'tracked': return self.__class__._tracked [self]
return oGetter (self, k)
cls.__getattribute__ = getter
return cls
#trackable
class Team:
def __init__ (self, name, region):
self.name = name
self.region = region
#set name and region during initialization
t = Team ('A', 'EU')
#set rank and ELO outside (hence trackable)
#in your "aggregate" functions
t.rank = 4 # a new team attribute
t.ELO = 14 # a new team attribute
#see witch attributes have been created after initialization
print (t.tracked)
If I did not understand the question, please do specify which part I got wrong.
Due to Python's dynamic nature, I don't believe there is a general answer to your question. An attribute of an instance can be set in many ways, including pure assignment, setattr(), and writes to __dict__ . Writing a tool to statically analyze Python code and correctly determine all possible attributes of an class by analyzing all these methods would be very difficult.
In your specific case, as the programmer you know that class Team will have a place attribute in many instances, so you can decide to be explicit and write its constructor like so:
class Team(object):
def __init__(name ,place=None):
self.name = name
self.place = place
I would say there is no need to define a property of a simple attribute, unless you wanted side effects or derivations to happen at read or write time.
I have no idea what is wrong! This is a very simple program and I have done a lot head banging! Please someone enlighten me!
This a lab problem from the CSE 111 - Programming Language II course. They teach Java at the university and the code I wrote in Java works fine.
I just have to create a Student class with some fields to hold the basic information about a student with methods to get and set the attributes. Then create an instance of that class and tryout the methods.
But every time I run this program the following error occurs:
TypeError: set_name() takes exactly 1 positional argument (2 given)
Here is the code I wrote.
class Student:
'''Student class'''
name = None
id = 0
address = None
cgpa = None
def get_name():
return name
def set_name(n):
name = n
def get_id():
return id
def set_id(i):
id = i
def get_address():
return address
def set_address(a):
address = a
def get_cgpa():
return cgpa
def set_cgpa(c):
cgpa = c
#An object of Student class
jack = Student()
jack.set_name('jacky')
print(jack.get_name())
You're not accepting a reference to your instance as the first argument to that method, i.e. your set_name() should be written:
def set_name(self, n):
self.name = n
This is somewhat different from other languages where there is a built-in keyword (such as this) that refers to the current object. Python passes that reference explicitly, as an argument to the method.
All your other methods must be modified similarly.
Note that just setting name = n sets a local variable name which goes away when the method ends; it does not set anything on the instance. You have to explicitly set self.name if you want an instance attribute.
Also, and this is a matter of style, but you do not usually write set and get methods in Python. It is normal practice to set and get attributes directly. If you want to do validation of values, use a property instead. So basically, none of your methods are actually necessary in good style.
However, you don't have an __init__() method. Usually you would pass the desired attributes of the instance when instantiating the class and save these on the instance.
class Student:
def __init__(self, name, id, address, cgpa):
self.name = name
self.id = id
self.address = address
self.cgpa = cgpa
herman = Student("Herman Munster", 12345, "1313 Mockingbird Lane", 4.0)
Try this:
import sys
class Student:
'''Student class'''
self.name = None
self.id = 0
self.address = None
self.cgpa = None
def get_name(self):
return self.name
def set_name(self, n):
self.name = n
def get_id(self):
return self.id
def set_id(self, i):
self.id = i
def get_address(self):
return self.address
def set_address(self, a):
self.address = a
def get_cgpa(self):
return self.cgpa
def set_cgpa(self, c):
self.cgpa = c
You need to pass self as the first argument to each member function of the class. Member variables must then be referred to with self, i.e. self.name. Furthermore, you may wish to include an __init__() function; this serves usually to initialize any member variables, and is called at the instantiation of the class.
Take a look at the Python documentation here for some examples on well-formed classes: http://docs.python.org/tutorial/classes.html#random-remarks
In Python, you need to pass in self for each of your member functions. You also need to reference class variables as self.x, if you want them to take an effect.
Here are a couple examples that you need to apply to the rest of your code.
def set_name(self, n):
self.name = n
def get_cgpa(self):
return self.cgpa
There is some explanation for why this is the case in the documentation.
This is because first argument of methods is self - the class instance.
See What is the purpose of self?
and http://docs.python.org/tutorial/classes.html#class-objects