bundles / numpy 2.4.4 / numpy / tril
_ArrayFunctionDispatcher
numpy:tril
Signature
def tril(m, k = 0)Summary
Lower triangle of an array.
Extended Summary
Return a copy of an array with elements above the k-th diagonal zeroed. For arrays with ndim exceeding 2, tril will apply to the final two axes.
Parameters
m: array_like, shape (..., M, N)Input array.
k: int, optionalDiagonal above which to zero elements.
k = 0(the default) is the main diagonal,k < 0is below it andk > 0is above.
Returns
tril: ndarray, shape (..., M, N)Lower triangle of
m, of same shape and data-type asm.
Examples
import numpy as np np.tril([[1,2,3],[4,5,6],[7,8,9],[10,11,12]], -1)✓
array([[ 0, 0, 0],
[ 4, 0, 0],
[ 7, 8, 0],
[10, 11, 12]])
np.tril(np.arange(3*4*5).reshape(3, 4, 5))
✗array([[[ 0, 0, 0, 0, 0],
[ 5, 6, 0, 0, 0],
[10, 11, 12, 0, 0],
[15, 16, 17, 18, 0]],
[[20, 0, 0, 0, 0],
[25, 26, 0, 0, 0],
[30, 31, 32, 0, 0],
[35, 36, 37, 38, 0]],
[[40, 0, 0, 0, 0],
[45, 46, 0, 0, 0],
[50, 51, 52, 0, 0],
[55, 56, 57, 58, 0]]])
See also
- triu
same thing, only for the upper triangle
Aliases
numpy.tril