numpy.nanargmax

numpy.nanargmax(a, axis=None)

Return the indices of the maximum values in the specified axis ignoring NaNs. For all-NaN slices ValueError is raised. Warning: the results cannot be trusted if a slice contains only NaNs and -Infs.

Parameters:

a : array_like

Input data.

axis : int, optional

Axis along which to operate. By default flattened input is used.

Returns:

index_array : ndarray

An array of indices or a single index value.

See also

argmax, nanargmin

Examples

>>> a = np.array([[np.nan, 4], [2, 3]])
>>> np.argmax(a)
0
>>> np.nanargmax(a)
1
>>> np.nanargmax(a, axis=0)
array([1, 0])
>>> np.nanargmax(a, axis=1)
array([1, 1])