numpy.negative¶

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 havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

Returns:

y:ndarray or scalar Returned array or scalar:y = -x.This is a scalar ifx is a scalar.

Examples

>>>np.negative([1.,-1.])array([-1.,  1.])