How to clip only some values of numpy array?

Question

I have an array (100,72) and I need to clip only the values of some columns. For example, I want that only the negative values in the column from 15 to column 72 are set to 0 I have seen that using the np.clip() function it is not possible to do this. Is there a quick way or do I have to decompose and reassemble the array?

swag2198 · Accepted Answer · 2021-04-22 14:34:16Z

2

Do this:

arr[:, 15:73] = np.clip(arr[:, 15:73], a_min = 0)

In general, if cols is the list of column indices, you can use arr[:, cols] to perform the operation selectively on the specified columns. Reference: numpy indexing.

edited Apr 22, 2021 at 14:34

answered Apr 22, 2021 at 14:25

swag2198

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1 Comment

Eric Hansen Over a year ago

This raises an error because the argument a_max was excluded.

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