scipy.sparse.
block_array#
- scipy.sparse.block_array(blocks, *, format=None, dtype=None)[source]#
- Build a sparse array from sparse sub-blocks - Parameters:
- blocksarray_like
- Grid of sparse arrays with compatible shapes. An entry of None implies an all-zero array. 
- format{‘bsr’, ‘coo’, ‘csc’, ‘csr’, ‘dia’, ‘dok’, ‘lil’}, optional
- The sparse format of the result (e.g. “csr”). By default an appropriate sparse array format is returned. This choice is subject to change. 
- dtypedtype, optional
- The data-type of the output array. If not given, the dtype is determined from that of blocks. 
 
- Returns:
- blocksparse array
 
 - See also - block_diag
- specify blocks along the main diagonals 
- diags
- specify (possibly offset) diagonals 
 - Examples - >>> from scipy.sparse import coo_array, block_array >>> A = coo_array([[1, 2], [3, 4]]) >>> B = coo_array([[5], [6]]) >>> C = coo_array([[7]]) >>> block_array([[A, B], [None, C]]).toarray() array([[1, 2, 5], [3, 4, 6], [0, 0, 7]]) - >>> block_array([[A, None], [None, C]]).toarray() array([[1, 2, 0], [3, 4, 0], [0, 0, 7]])