Module « numpy »

Fonction negative - module numpy

Signature de la fonction negative

Description

negative.__doc__

negative(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

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
    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.
**kwargs
    For other keyword-only arguments, see the
    :ref:`ufunc docs <ufuncs.kwargs>`.

Returns
-------
y : ndarray or scalar
    Returned array or scalar: `y = -x`.
    This is a scalar if `x` is a scalar.

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

The unary ``-`` operator can be used as a shorthand for ``np.negative`` on
ndarrays.

>>> x1 = np.array(([1., -1.]))
>>> -x1
array([-1.,  1.])