- numpy.tri(N, M=None, k=0, dtype=<class 'float'>, *, like=None)#
An array with ones at and below the given diagonal and zeros elsewhere.
Number of rows in the array.
- Mint, optional
Number of columns in the array. By default, M is taken equal to N.
- kint, optional
The sub-diagonal at and below which the array is filled. k = 0 is the main diagonal, while k < 0 is below it, and k > 0 is above. The default is 0.
- dtypedtype, optional
Data type of the returned array. The default is float.
- likearray_like, optional
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as
__array_function__protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.
New in version 1.20.0.
- trindarray of shape (N, M)
Array with its lower triangle filled with ones and zero elsewhere; in other words
T[i,j] == 1for
j <= i + k, 0 otherwise.
>>> np.tri(3, 5, 2, dtype=int) array([[1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1]])
>>> np.tri(3, 5, -1) array([[0., 0., 0., 0., 0.], [1., 0., 0., 0., 0.], [1., 1., 0., 0., 0.]])