jax.numpy.diagflat(v, k=0)[source]#

Create a two-dimensional array with the flattened input as a diagonal.

LAX-backend implementation of numpy.diagflat().

This differs from np.diagflat for some scalar values of v, jax always returns a two-dimensional array, whereas numpy may return a scalar depending on the type of v.

Original docstring below.

  • v (array_like) – Input data, which is flattened and set as the k-th diagonal of the output.

  • k (int, optional) – Diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.


out – The 2-D output array.

Return type: