- dask.array.tri(N, M=None, k=0, dtype=<class 'float'>, chunks='auto', *, like=None)¶
An array with ones at and below the given diagonal and zeros elsewhere.
This docstring was copied from numpy.tri.
Some inconsistencies with the Dask version may exist.
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.]])