negative(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Some inconsistencies with the Dask version may exist.
Numerical negative, element-wise.
Input array.
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.
This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`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 <ufuncs.kwargs>
.
Returned array or scalar: :None:None:`y = -x`. This is a scalar if x is a scalar.
This docstring was copied from numpy.negative.
>>> np.negative([1.,-1.]) # doctest: +SKIP array([-1., 1.])
The unary -
operator can be used as a shorthand for np.negative
on ndarrays.
>>> x1 = np.array(([1., -1.])) # doctest: +SKIPSee :
... -x1 # doctest: +SKIP array([-1., 1.])
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