Numpy minimum in (row, column) format

Question

How can I know the (row, column) index of the minimum of a numpy array/matrix?

For example, if A = array([[1, 2], [3, 0]]), I want to get (1, 1)

Thanks!

Solution 1

Use unravel_index:

numpy.unravel_index(A.argmin(), A.shape)

Solution 2

[Corrected typo]

Another simple solution is

ri, ci = A.argmin()//A.shape[1], A.argmin()%A.shape[1]

As numpy.argmin returns the index reading in row-major order

---

Yes, you are right, it was a typo, which worked for square matrix