numpy.diagflat(v, k=0)
[source]
Create a two-dimensional array with the flattened input as a diagonal.
Parameters: |
v : array_like Input data, which is flattened and set as the k : int, optional Diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) |
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Returns: |
out : ndarray The 2-D output array. |
See also
>>> 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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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.diagflat.html