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]])