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NumPy | diagflat method
schedule Aug 12, 2023
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Numpy's diagflat(~)
method creates a 2D Numpy array with the diagonals specified by a flattened input array. All other entries are filled with zero.
Parameters
1. a
| array-like
The input array. Multi-dimensional arrays would be flattened automatically to 1D.
2. k
link | int
| optional
If k is positive, a diagonal on the top will be filled. If negative, then a diagonal on the bottom will be filled. By default, k=0
.
Return value
A 2D Numpy array.
Examples
Basic usage
Consider the following 2D array:
np.diagflat([4,5,6])
array([[4, 0, 0], [0, 5, 0], [0, 0, 6]])
Specifying an offset
np.diagflat([4,5,6], k=1)
array([[0, 4, 0, 0], [0, 0, 5, 0], [0, 0, 0, 6], [0, 0, 0, 0]])
np.diagflat([4,5], k=1)
array([[0, 4, 0], [0, 0, 5], [0, 0, 0]])
np.diagflat([4,5], k=-1)
array([[0, 0, 0], [4, 0, 0], [0, 5, 0]])
Published by Isshin Inada
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