## Question

Asked By – Andreas Mueller

I’m trying to get the indices of the maximum element in a Numpy array.

This can be done using `numpy.argmax`

. My problem is, that I would like to find the biggest element in the whole array and get the indices of that.

`numpy.argmax`

can be either applied along one axis, which is not what I want, or on the flattened array, which is kind of what I want.

My problem is that using `numpy.argmax`

with `axis=None`

returns the flat index when I want the multi-dimensional index.

I could use `divmod`

to get a non-flat index but this feels ugly. Is there any better way of doing this?

**Now we will see solution for issue: Argmax of numpy array returning non-flat indices **

## Answer

You could use `numpy.unravel_index()`

on the result of `numpy.argmax()`

:

```
>>> a = numpy.random.random((10, 10))
>>> numpy.unravel_index(a.argmax(), a.shape)
(6, 7)
>>> a[6, 7] == a.max()
True
```

This question is answered By – Sven Marnach

**This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **