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:

outndarray

The 2-D output array.

See also

diag

MATLAB work-alike for 1-D and 2-D arrays.

diagonal

Return specified diagonals.

trace

Sum along diagonals.

Examples

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>>> import numpy as np
>>> 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]])

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