This is documentation for an old release of NumPy (version 1.13). Read this page in the documentation of the latest stable release (version 2.2).
numpy.negative¶
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numpy.negative(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'negative'>¶ Numerical negative, element-wise.
Parameters: x : array_like or scalar
Input array.
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
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
**kwargs
For other keyword-only arguments, see the ufunc docs.
Returns: y : ndarray or scalar
Returned array or scalar: y = -x.
Examples
>>> np.negative([1.,-1.]) array([-1., 1.])