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Module « numpy »

Fonction logical_not - module numpy

Signature de la fonction logical_not

Description

logical_not.__doc__

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

Compute the truth value of NOT x element-wise.

Parameters
----------
x : array_like
    Logical NOT is applied to the elements of `x`.
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 : bool or ndarray of bool
    Boolean result with the same shape as `x` of the NOT operation
    on elements of `x`.
    This is a scalar if `x` is a scalar.

See Also
--------
logical_and, logical_or, logical_xor

Examples
--------
>>> np.logical_not(3)
False
>>> np.logical_not([True, False, 0, 1])
array([False,  True,  True, False])

>>> x = np.arange(5)
>>> np.logical_not(x<3)
array([False, False, False,  True,  True])