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Emplacement :

Description des améliorations :

Classe « spmatrix »

Méthode scipy.sparse.spmatrix.mean

Signature de la méthode mean

def mean(self, axis=None, dtype=None, out=None) 

Description

mean.__doc__

        Compute the arithmetic mean along the specified axis.

        Returns the average of the matrix elements. The average is taken
        over all elements in the matrix by default, otherwise over the
        specified axis. `float64` intermediate and return values are used
        for integer inputs.

        Parameters
        ----------
        axis : {-2, -1, 0, 1, None} optional
            Axis along which the mean is computed. The default is to compute
            the mean of all elements in the matrix (i.e., `axis` = `None`).
        dtype : data-type, optional
            Type to use in computing the mean. For integer inputs, the default
            is `float64`; for floating point inputs, it is the same as the
            input dtype.

            .. versionadded:: 0.18.0

        out : np.matrix, optional
            Alternative output matrix in which to place the result. It must
            have the same shape as the expected output, but the type of the
            output values will be cast if necessary.

            .. versionadded:: 0.18.0

        Returns
        -------
        m : np.matrix

        See Also
        --------
        numpy.matrix.mean : NumPy's implementation of 'mean' for matrices