cupy.nanargmin#

cupy.nanargmin(a, axis=None, dtype=None, out=None, keepdims=False)[source]#

Return the indices of the minimum values in the specified axis ignoring NaNs. For all-NaN slice -1 is returned. Subclass cannot be passed yet, subok=True still unsupported

Parameters:

  • a (cupy.ndarray) – Array to take nanargmin.

  • axis (int) – Along which axis to find the minimum. a is flattened by default.

Returns:

The indices of the minimum of a along an axis ignoring NaN values.

Return type:

cupy.ndarray

Note

For performance reasons, cupy.nanargmin returns out of range values for all-NaN slice whereas numpy.nanargmin raises ValueError

See also

numpy.nanargmin()