Pickle with custom classes

Question

Suppose I have a simple python class definition in a file myClass.py

class Test:
    A = []

And I also have two test scripts. The first scr

Answer 1

It is because you are setting Test.A as a class attribute instead of an instance attribute. Really what is happening is that with the test1.py, the object being read back from the pickle file is the same as test2.py, but its using the class in memory where you had originally assigned x.A.

When your data is being unpickled from the file, it creates a new instance of the class type, and then applies whatever instance data it needs to. But your only data was a class attribute. Its always referring back to the class thats in memory, which you modified in one, but not in another file.

Compare the differences in this example:

class Test:
    A = []  # a class attribute
    def __init__(self):
        self.a = []  # an instance attribute

You will notice that the instance attribute a will be pickled and unpickled properly, while the class attribute A will simply refer to the class in memory.

for i in xrange(5):
    x.A.append(i)
    x.a.append(i)  

with open('data', 'w') as f:
    pickle.dump(x,f)

with open('data') as f:
    y = pickle.load(f)

>>> y.A
[0, 1, 2, 3, 4]
>>> y.a
[0, 1, 2, 3, 4]
>>> Test.A
[0, 1, 2, 3, 4]
>>> Test.A = []  # resetting the class attribute
>>> y.a 
[0, 1, 2, 3, 4]
>>> y.A  # refers to the class attribute
[]

Answer 2

This is an old question, if you see it now you probably want to set __getstate__ and __setstate__ of your class so pickle would know how to dump and load your defined class.

See examples here.

If your class is simple (e.g. only have ints and strings as members and any method) it should be pickalable automatically.