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Fonction square - module numpy

Signature de la fonction square

Description

square.__doc__

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

Return the element-wise square of the input.

Parameters
----------
x : array_like
    Input data.
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
-------
out : ndarray or scalar
    Element-wise `x*x`, of the same shape and dtype as `x`.
    This is a scalar if `x` is a scalar.

See Also
--------
numpy.linalg.matrix_power
sqrt
power

Examples
--------
>>> np.square([-1j, 1])
array([-1.-0.j,  1.+0.j])