numpy.diagflat¶
- 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-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.
Returns: out : ndarray
The 2-D output array.
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]])