Below code demonstrates the difference between assignment, shallow copy using the copy method, shallow copy using the (slice) [:] and the deepcopy. Below example uses nested lists there by making the differences more evident.
A shallow copy constructs a new compound object and then (to the extent possible) inserts references into it to the objects found in the original. A deep copy constructs a new compound object and then, recursively, inserts copies into it of the objects found in the original.
To get a fully independent copy of an object you can use the copy.deepcopy() function. For more details about shallow and deep copying please refer to the other answers to this question and the nice explanation in this answer to a related question.
I am working with two files, and I need to copy a few lines from one file and paste them into another file. I know how to copy (yy) and paste (p) in the same file. But that doesn't work for different
When selecting a sub dataframe from a parent dataframe, I noticed that some programmers make a copy of the data frame using the .copy() method. For example, X = my_dataframe[features_list].copy() ...
If you want a copy, the fastest way of doing this would be to save the project. Then make a copy of the entire thing on the File System. Go back into Visual Studio and open the copy (by right clicking on solution => add existing project => open the copied project). From there, I would most likely recommend re-naming the project/solution (Steps of Safely Renaming Project are in the following ...
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How do I copy a file in Python?copy2(src,dst) is often more useful than copyfile(src,dst) because: it allows dst to be a directory (instead of the complete target filename), in which case the basename of src is used for creating the new file; it preserves the original modification and access info (mtime and atime) in the file metadata (however, this comes with a slight overhead). Here is a ...
