nlcpy.nanargmin

nlcpy.nanargmin(a, axis=None)

Returns the indices of the minimum 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

aarray_like

Input data.

axisint, optional

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

Returns

index_arrayndarray

An array of indices or a single index value.

See also

argmin

Returns the indices of the minimum values along an axis.

nanargmax

Returns the indices of the maximum values in the specified axis ignoring NaNs.

Examples

>>> import nlcpy as vp
>>> a = vp.array([[vp.nan, 4], [2, 3]])
>>> vp.argmin(a)
array(0)
>>> vp.nanargmin(a)
array(2)
>>> vp.nanargmin(a, axis=0)
array([1, 1])
>>> vp.nanargmin(a, axis=1)
array([1, 0])