Classe « lil_matrix »

Méthode scipy.sparse.lil_matrix.resize

Signature de la méthode resize

def resize(self, *shape) 

Description

resize.__doc__

Resize the matrix in-place to dimensions given by ``shape``

        Any elements that lie within the new shape will remain at the same
        indices, while non-zero elements lying outside the new shape are
        removed.

        Parameters
        ----------
        shape : (int, int)
            number of rows and columns in the new matrix

        Notes
        -----
        The semantics are not identical to `numpy.ndarray.resize` or
        `numpy.resize`. Here, the same data will be maintained at each index
        before and after reshape, if that index is within the new bounds. In
        numpy, resizing maintains contiguity of the array, moving elements
        around in the logical matrix but not within a flattened representation.

        We give no guarantees about whether the underlying data attributes
        (arrays, etc.) will be modified in place or replaced with new objects.