dpnp.argmin

dpnp.argmin(x1, axis=None, out=None)[source]

Returns the indices of the minimum values along an axis.

For full documentation refer to numpy.argmin.

Limitations

Input array is supported as dpnp.ndarray. Otherwise the function will be executed sequentially on CPU. Parameter axis is supported only with default value None. Parameter out is supported only with default value None. Input array data types are limited by supported DPNP Data types.

See also

dpnp.argmax: Returns the indices of the maximum values along an axis.
dpnp.amin: The minimum value along a given axis.
dpnp.unravel_index: Convert a flat index into an index tuple.
dpnp.take_along_axis: Apply np.expand_dims(index_array, axis) from argmin to an array as if by calling min.

Notes

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

Examples

>>> import dpnp as np
>>> a = np.arange(6).reshape((2, 3)) + 10
>>> a.shape
(2, 3)
>>> [i for i in a]
[10, 11, 12, 13, 14, 15]
>>> np.argmin(a)
0