bundles / numpy 2.4.4 / numpy / tri
_ArrayFunctionDispatcher
numpy:tri
Signature
def tri ( N , M = None , k = 0 , dtype = <class 'float'> , * , like = None ) Summary
An array with ones at and below the given diagonal and zeros elsewhere.
Parameters
N: intNumber of rows in the array.
M: int, optionalNumber of columns in the array. By default,
Mis taken equal toN.k: int, optionalThe sub-diagonal at and below which the array is filled.
k= 0 is the main diagonal, whilek< 0 is below it, andk> 0 is above. The default is 0.dtype: dtype, optionalData type of the returned array. The default is float.
like: array_like, optionalReference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as
likesupports 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.
Returns
tri: ndarray of shape (N, M)Array with its lower triangle filled with ones and zero elsewhere; in other words
T[i,j] == 1forj <= i + k, 0 otherwise.
Examples
import numpy as np np.tri(3, 5, 2, dtype=int)✓
np.tri(3, 5, -1)
✗Aliases
-
numpy.tri -
numpy.lib._twodim_base_impl._tri_with_like