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 isdetermined from that ofblocks.
- 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 sparsearrays, use
block(hstack(blocks))or convert one blocke.g.blocks[0]=csr_array(blocks[0]).
See also
vstackstack sparse matrices vertically (row wise)
Examples
>>>fromscipy.sparseimportcoo_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]])
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