dpnp.put_along_axis

dpnp.put_along_axis(a, indices, values, axis)[source]

Put values into the destination array by matching 1d index and data slices.

For full documentation refer to numpy.put_along_axis.

Parameters:

a ({dpnp.ndarray, usm_ndarray}, (Ni..., M, Nk...)) -- Destination array.
indices ({dpnp.ndarray, usm_ndarray}, (Ni..., J, Nk...)) -- Indices to change along each 1d slice of a. This must match the dimension of input array, but dimensions in Ni and Nj may be 1 to broadcast against a.
values ({scalar, array_like}, (Ni..., J, Nk...)) -- Values to insert at those indices. Its shape and dimension are broadcast to match that of indices.
axis (int) -- The axis to take 1d slices along. If axis is None, the destination array is treated as if a flattened 1d view had been created of it.

See also

dpnp.put: Put values along an axis, using the same indices for every 1d slice.
dpnp.take_along_axis: Take values from the input array by matching 1d index and data slices.

Examples

For this sample array

>>> import dpnp as np
>>> a = np.array([[10, 30, 20], [60, 40, 50]])

We can replace the maximum values with:

>>> ai = np.argmax(a, axis=1, keepdims=True)
>>> ai
array([[1],
       [0]])
>>> np.put_along_axis(a, ai, 99, axis=1)
>>> a
array([[10, 99, 20],
       [99, 40, 50]])