copy#
Generic (shallow and deep) copying operations.
Interface summary:
import copy
x = copy.copy(y) # make a shallow copy of y x = copy.deepcopy(y) # make a deep copy of y
For module specific errors, copy.Error is raised.
The difference between shallow and deep copying is only relevant for compound objects (objects that contain other objects, like lists or class instances).
A shallow copy constructs a new compound object and then (to the extent possible) inserts the same objects into it that the original contains.
A deep copy constructs a new compound object and then, recursively, inserts copies into it of the objects found in the original.
Two problems often exist with deep copy operations that don’t exist with shallow copy operations:
recursive objects (compound objects that, directly or indirectly, contain a reference to themselves) may cause a recursive loop
because deep copy copies everything it may copy too much, e.g. administrative data structures that should be shared even between copies
Python’s deep copy operation avoids these problems by:
keeping a table of objects already copied during the current copying pass
letting user-defined classes override the copying operation or the set of components copied
This version does not copy types like module, class, function, method, nor stack trace, stack frame, nor file, socket, window, nor any similar types.
Classes can use the same interfaces to control copying that they use to control pickling: they can define methods called __getinitargs__(), __getstate__() and __setstate__(). See the documentation for module “pickle” for information on these methods.
Functions
|
Shallow copy operation on arbitrary Python objects. |
|
Deep copy operation on arbitrary Python objects. |
Exceptions