scipy.sparse.csr_array.reshape#

csr_array.reshape(self, shape, order='C', copy=False)[source]#

Gives a new shape to a sparse matrix without changing its data.

Parameters:

shapelength-2 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 C-like index order; e.g., read entire first row, then second row, etc. ‘F’ means to read and write the elements using Fortran-like index order; e.g., read entire first column, then second column, etc.
copybool, 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_matrixsparse matrix: A sparse matrix with the given shape, not necessarily of the same format as the current object.