Classe « lil_matrix »

Méthode scipy.sparse.lil_matrix.toarray

Signature de la méthode toarray

def toarray(self, order=None, out=None) 

Description

toarray.__doc__

        Return a dense ndarray representation of this matrix.

        Parameters
        ----------
        order : {'C', 'F'}, optional
            Whether to store multidimensional data in C (row-major)
            or Fortran (column-major) order in memory. The default
            is 'None', indicating the NumPy default of C-ordered.
            Cannot be specified in conjunction with the `out`
            argument.

        out : ndarray, 2-D, optional
            If specified, uses this array as the output buffer
            instead of allocating a new array to return. The provided
            array must have the same shape and dtype as the sparse
            matrix on which you are calling the method. For most
            sparse types, `out` is required to be memory contiguous
            (either C or Fortran ordered).

        Returns
        -------
        arr : ndarray, 2-D
            An array with the same shape and containing the same
            data represented by the sparse matrix, with the requested
            memory order. If `out` was passed, the same object is
            returned after being modified in-place to contain the
            appropriate values.