numpy.nanargmax

numpy.nanargmin

# numpy.argmin¶

`numpy.``argmin`(a, axis=None, out=None)[source]

Returns the indices of the minimum values along an axis.

Parameters: a : array_like Input array. axis : int, optional By default, the index is into the flattened array, otherwise along the specified axis. out : array, optional If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype. index_array : ndarray of ints Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed.

`amin`
The minimum value along a given axis.
`unravel_index`
Convert a flat index into an index tuple.

Notes

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

Examples

```>>> a = np.arange(6).reshape(2,3)
>>> a
array([[0, 1, 2],
[3, 4, 5]])
>>> np.argmin(a)
0
>>> np.argmin(a, axis=0)
array([0, 0, 0])
>>> np.argmin(a, axis=1)
array([0, 0])
```

Indices of the minimum elements of a N-dimensional array:

```>>> ind = np.unravel_index(np.argmin(a, axis=None), a.shape)
>>> ind
(0, 0)
>>> a[ind]
0
```
```>>> b = np.arange(6)
>>> b = 0
>>> b
array([0, 1, 2, 3, 0, 5])
>>> np.argmin(b)  # Only the first occurrence is returned.
0
```