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Module « numpy.matlib »

Fonction nextafter - module numpy.matlib

Signature de la fonction nextafter

def nextafter(*args, **kwargs) 

Description

help(numpy.matlib.nextafter)

nextafter(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature])

Return the next floating-point value after x1 towards x2, element-wise.

Parameters
----------
x1 : array_like
    Values to find the next representable value of.
x2 : array_like
    The direction where to look for the next representable value of `x1`.
    If ``x1.shape != x2.shape``, they must be broadcastable to a common
    shape (which becomes the shape of the output).
out : ndarray, None, or tuple of ndarray and None, optional
    A location into which the result is stored. If provided, it must have
    a shape that the inputs broadcast to. If not provided or None,
    a freshly-allocated array is returned. A tuple (possible only as a
    keyword argument) must have length equal to the number of outputs.
where : array_like, optional
    This condition is broadcast over the input. At locations where the
    condition is True, the `out` array will be set to the ufunc result.
    Elsewhere, the `out` array will retain its original value.
    Note that if an uninitialized `out` array is created via the default
    ``out=None``, locations within it where the condition is False will
    remain uninitialized.
**kwargs
    For other keyword-only arguments, see the
    :ref:`ufunc docs <ufuncs.kwargs>`.

Returns
-------
out : ndarray or scalar
    The next representable values of `x1` in the direction of `x2`.
    This is a scalar if both `x1` and `x2` are scalars.

Examples
--------
>>> import numpy as np
>>> eps = np.finfo(np.float64).eps
>>> np.nextafter(1, 2) == eps + 1
True
>>> np.nextafter([1, 2], [2, 1]) == [eps + 1, 2 - eps]
array([ True,  True])

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