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.
The copy module does not use the copy_reg registration module. In order for a class to define its own copy implementation, it can define special methods __copy__() and __deepcopy__(). The former is called to implement the shallow copy operation; no additional arguments are passed.
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() ...
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
You should check the ADD and COPY documentation for a more detailed description of their behaviors, but in a nutshell, the major difference is that ADD can do more than COPY: ADD allows <src> to be a URL Referring to comments below, the ADD documentation states that: If is a local tar archive in a recognized compression format (identity, gzip, bzip2 or xz) then it is unpacked as a directory ...
This is the best solution because in one command you can copy an entire filesystem's worth of changes into an image layer. I keep a /resources directory in my source repo that mirrors the parts of the image filesystem to be added/overwritten.
This answer explains copy by reference vs copy by value. Shallow copy vs deep copy is a concept that applies to collections. See this answer and this answer.
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 ...
