numpy.copysign
-
numpy.copysign(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'copysign'> -
Change the sign of x1 to that of x2, element-wise.
If
x2is a scalar, its sign will be copied to all elements ofx1.- Parameters
-
-
x1array_like -
Values to change the sign of.
-
x2array_like -
The sign of
x2is copied tox1. 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
outarray will be set to the ufunc result. Elsewhere, theoutarray will retain its original value. Note that if an uninitializedoutarray 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 values of
x1with the sign ofx2. This is a scalar if bothx1andx2are scalars.
-
Examples
>>> np.copysign(1.3, -1) -1.3 >>> 1/np.copysign(0, 1) inf >>> 1/np.copysign(0, -1) -inf
>>> np.copysign([-1, 0, 1], -1.1) array([-1., -0., -1.]) >>> np.copysign([-1, 0, 1], np.arange(3)-1) array([-1., 0., 1.])
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.copysign.html