Classe « spmatrix »

Méthode scipy.sparse.spmatrix.sum

Signature de la méthode sum

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

Description

sum.__doc__

        Sum the matrix elements over a given axis.

        Parameters
        ----------
        axis : {-2, -1, 0, 1, None} optional
            Axis along which the sum is computed. The default is to
            compute the sum of all the matrix elements, returning a scalar
            (i.e., `axis` = `None`).
        dtype : dtype, optional
            The type of the returned matrix and of the accumulator in which
            the elements are summed.  The dtype of `a` is used by default
            unless `a` has an integer dtype of less precision than the default
            platform integer.  In that case, if `a` is signed then the platform
            integer is used while if `a` is unsigned then an unsigned integer
            of the same precision as the platform integer is used.

            .. 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
        -------
        sum_along_axis : np.matrix
            A matrix with the same shape as `self`, with the specified
            axis removed.

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