jax.numpy.append

jax.numpy.append(arr, values, axis=None)

Return a new array with values appended to the end of the original array.

JAX implementation of numpy.append().

Parameters:

• arr (ArrayLike) – original array.

• values (ArrayLike) – values to be appended to the array. The values must have the same number of dimensions as arr, and all dimensions must match except in the specified axis.

• axis (int | None) – axis along which to append values. If None (default), both arr and values will be flattened before appending.

Returns:

A new array with values appended to arr.

Return type:

Array

See also

• jax.numpy.insert()

• jax.numpy.delete()

Examples

>>> a = jnp.array([1, 2, 3])
>>> b = jnp.array([4, 5, 6])
>>> jnp.append(a, b)
Array([1, 2, 3, 4, 5, 6], dtype=int32)

Appending along a specific axis:

>>> a = jnp.array([[1, 2],
...                [3, 4]])
>>> b = jnp.array([[5, 6]])
>>> jnp.append(a, b, axis=0)
Array([[1, 2],
       [3, 4],
       [5, 6]], dtype=int32)

Appending along a trailing axis:

>>> a = jnp.array([[1, 2, 3],
...                [4, 5, 6]])
>>> b = jnp.array([[7], [8]])
>>> jnp.append(a, b, axis=1)
Array([[1, 2, 3, 7],
       [4, 5, 6, 8]], dtype=int32)