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.
x2 is a scalar, its sign will be copied to all elements of
x1 : array_like
Values to change the sign of.
x2 : array_like
The sign of
x2 is copied to
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.
For other keyword-only arguments, see the ufunc docs.
out : ndarray or scalar
The values of
x1 with the sign of
x2. This is a scalar if both
x2 are scalars.
>>> np.copysign(1.3, -1)
>>> 1/np.copysign(0, 1)
>>> 1/np.copysign(0, -1)
>>> np.copysign([-1, 0, 1], -1.1)
array([-1., -0., -1.])
>>> np.copysign([-1, 0, 1], np.arange(3)-1)
array([-1., 0., 1.])