scipy.sparse.
hstack#
- scipy.sparse.hstack(blocks, format=None, dtype=None)[source]#
- Stack sparse matrices horizontally (column wise) - Parameters:
- blocks
- sequence of sparse matrices with compatible shapes 
- formatstr
- sparse format of the result (e.g., “csr”) by default an appropriate sparse matrix format is returned. This choice is subject to change. 
- dtypedtype, optional
- The data-type of the output matrix. If not given, the dtype is determined from that of blocks. 
 
- Returns:
- new_arraysparse matrix or array
- If any block in blocks is a sparse array, return a sparse array. Otherwise return a sparse matrix. - If you want a sparse array built from blocks that are not sparse arrays, use - block(hstack(blocks))or convert one block e.g.- blocks[0] = csr_array(blocks[0]).
 
 - See also - vstack
- stack sparse matrices vertically (row wise) 
 - Examples - >>> from scipy.sparse import coo_matrix, hstack >>> A = coo_matrix([[1, 2], [3, 4]]) >>> B = coo_matrix([[5], [6]]) >>> hstack([A,B]).toarray() array([[1, 2, 5], [3, 4, 6]])