How to return all the minimum indices in numpy

Question

I am a little bit confused reading the documentation of argmin function in numpy. It looks like it should do the job:

Reading this

Return the

Answer 1

See the documentation for numpy.argmax (which is referred to by the docs for numpy.argmin):

In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned.

The phrasing of the documentation ("indices" instead of "index") refers to the multidimensional case when axis is provided.

So, you can't do it with np.argmin. Instead, this will work:

np.where(arr == arr.min())