scipy.sparse.lil_matrix.reshape¶

lil_matrix.
reshape
(self, shape, order='C', copy=False)[source]¶ Gives a new shape to a sparse matrix without changing its data.
Parameters: shape : length2 tuple of ints
The new shape should be compatible with the original shape.
order : {‘C’, ‘F’}, optional
Read the elements using this index order. ‘C’ means to read and write the elements using Clike index order; e.g. read entire first row, then second row, etc. ‘F’ means to read and write the elements using Fortranlike index order; e.g. read entire first column, then second column, etc.
copy : bool, optional
Indicates whether or not attributes of self should be copied whenever possible. The degree to which attributes are copied varies depending on the type of sparse matrix being used.
Returns: reshaped_matrix : sparse matrix
A sparse matrix with the given
shape
, not necessarily of the same format as the current object.See also
np.matrix.reshape
 NumPy’s implementation of ‘reshape’ for matrices