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NumPy | diagflat method

schedule Aug 12, 2023
Last updated
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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. klink | 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]])
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Published by Isshin Inada
Edited by 0 others
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