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 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. |
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Returns: |
y : ndarray or scalar Returned array or scalar: |
>>> np.negative([1.,-1.]) array([-1., 1.])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.negative.html