scipy.sparse.csr_matrix.reshape

csr_matrix.reshape(self, shape, order='C', copy=False)

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.

See also

np.matrix.reshape

NumPy’s implementation of ‘reshape’ for matrices