xorbits.numpy.tri#
- xorbits.numpy.tri(N, M=None, k=0, dtype=<class 'float'>, chunk_size=None, gpu=None)[源代码]#
An array with ones at and below the given diagonal and zeros elsewhere.
- 参数
N (int) – Number of rows in the array.
M (int, optional) – Number of columns in the array. By default, M is taken equal to N.
k (int, 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.
dtype (dtype, optional) – Data type of the returned array. The default is float.
like (array_like, optional (Not supported yet)) –
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as
like
supports the__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.1.20.0(numpy) 新版功能.
- 返回
tri – Array with its lower triangle filled with ones and zero elsewhere; in other words
T[i,j] == 1
forj <= i + k
, 0 otherwise.- 返回类型
ndarray of shape (N, M)
实际案例
>>> 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.]])
This docstring was copied from numpy.