nlcpy.nanargmin

nlcpy.nanargmin(a, axis=None)[ソース]

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.

参考

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])