Efficiently append an element to each of the lists in a large numpy array

2024/11/16 5:36:10

I have a really large numpy of array of lists, and I want to append an element to each of the arrays. I want to avoid using a loop for the sake of performance.

The following syntax is not working.

a=np.array([[],[1],[0,1]])[j.append(3) for j in a]

The expected result for this example would be

np.array([[3],[1,3],[0,1,3]) 

but I got

[None, None, None]

Any clue?

Answer

list.append() returns None, so you're just seeing that the 3 append operations each returned None.

However, if you print the contents of a you'll find that the appends were successful.

a=np.array([[],[1],[0,1]])
[j.append(3) for j in a]
print(a)
# prints "[list([3]) list([1, 3]) list([0, 1, 3])]"

I wouldn't recommend using a numpy array of lists for anything, but maybe you have some special use case where this makes sense. I suggest asking a separate quesiton that looks at the reasoning for using a numpy array of lists

https://en.xdnf.cn/q/119228.html

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