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bundles / numpy 2.4.3 / numpy / tri

_ArrayFunctionDispatcher

numpy:tri

source: /numpy/lib/_twodim_base_impl.py :389

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 : 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

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.

Returns

tri : ndarray of shape (N, M)

Array with its lower triangle filled with ones and zero elsewhere; in other words T[i,j] == 1 for j <= 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