numpy.diagflat#

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

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

Parameters

varray_like: Input data, which is flattened and set as the k-th diagonal of the output.
kint, 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.

Returns

See also

Examples

>>> np.diagflat([[1,2], [3,4]])
array([[1, 0, 0, 0],
       [0, 2, 0, 0],
       [0, 0, 3, 0],
       [0, 0, 0, 4]])

>>> np.diagflat([1,2], 1)
array([[0, 1, 0],
       [0, 0, 2],
       [0, 0, 0]])

numpy.mgrid

numpy.tri