jax.numpy.nanargmin#

jax.numpy.nanargmin(a, axis=None, out=None, keepdims=None)[source]#

Return the index of the minimum value of an array, ignoring NaNs.

JAX implementation of numpy.nanargmin().

Parameters:

  • a (ArrayLike) – input array

  • axis (int | None | None) – optional integer specifying the axis along which to find the maximum value. If axis is not specified, a will be flattened.

  • out (None | None) – unused by JAX

  • keepdims (bool | None | None) – if True, then return an array with the same number of dimensions as a.

Returns:

an array containing the index of the minimum value along the specified axis.

Return type:

Array

Note

In the case of an axis with all-NaN values, the returned index will be -1. This differs from the behavior of numpy.nanargmin(), which raises an error.

See also

Examples

>>> x = jnp.array([jnp.nan, 3, 5, 4, 2])
>>> jnp.nanargmin(x)
Array(4, dtype=int32)

>>> x = jnp.array([[1, 3, jnp.nan],
...                [5, 4, jnp.nan]])
>>> jnp.nanargmin(x, axis=1)
Array([0, 1], dtype=int32)

>>> jnp.nanargmin(x, axis=1, keepdims=True)
Array([[0],
       [1]], dtype=int32)