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Module « numpy »

Fonction tri - module numpy

Signature de la fonction tri

def tri(N, M=None, k=0, dtype=<class 'float'>, *, like=None) 

Description

help(numpy.tri)

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.

    .. versionadded:: 1.20.0

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)
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.]])

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