numpy.nextafter
-
numpy.nextafter(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'nextafter'>
-
Return the next floating-point value after x1 towards x2, element-wise.
- Parameters
-
-
x1array_like
-
Values to find the next representable value of.
-
x2array_like
-
The direction where to look for the next representable value of
x1
. Ifx1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output). -
outndarray, 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.
-
wherearray_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, theout
array will retain its original value. Note that if an uninitializedout
array is created via the defaultout=None
, locations within it where the condition is False will remain uninitialized. - **kwargs
-
For other keyword-only arguments, see the ufunc docs.
-
- Returns
-
-
outndarray or scalar
-
The next representable values of
x1
in the direction ofx2
. This is a scalar if bothx1
andx2
are scalars.
-
Examples
>>> 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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Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.nextafter.html