Vous êtes un professionnel et vous avez besoin d'une formation ? RAG (Retrieval-Augmented Generation)
et Fine Tuning d'un LLM Voir le programme détaillé

Module « numpy.matlib »

Fonction isposinf - module numpy.matlib

Signature de la fonction isposinf

def isposinf(x, out=None) 

Description

help(numpy.matlib.isposinf)

Test element-wise for positive infinity, return result as bool array.

Parameters
----------
x : array_like
    The input array.
out : array_like, optional
    A location into which the result is stored. If provided, it must have a
    shape that the input broadcasts to. If not provided or None, a
    freshly-allocated boolean array is returned.

Returns
-------
out : ndarray
    A boolean array with the same dimensions as the input.
    If second argument is not supplied then a boolean array is returned
    with values True where the corresponding element of the input is
    positive infinity and values False where the element of the input is
    not positive infinity.

    If a second argument is supplied the result is stored there. If the
    type of that array is a numeric type the result is represented as zeros
    and ones, if the type is boolean then as False and True.
    The return value `out` is then a reference to that array.

See Also
--------
isinf, isneginf, isfinite, isnan

Notes
-----
NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic
(IEEE 754).

Errors result if the second argument is also supplied when x is a scalar
input, if first and second arguments have different shapes, or if the
first argument has complex values

Examples
--------
>>> import numpy as np
>>> np.isposinf(np.inf)
True
>>> np.isposinf(-np.inf)
False
>>> np.isposinf([-np.inf, 0., np.inf])
array([False, False,  True])

>>> x = np.array([-np.inf, 0., np.inf])
>>> y = np.array([2, 2, 2])
>>> np.isposinf(x, y)
array([0, 0, 1])
>>> y
array([0, 0, 1])

Vous êtes un professionnel et vous avez besoin d'une formation ? Programmation Python
Les compléments Voir le programme détaillé