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block_array — SciPy v1.16.1 Manual

scipy.sparse.

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]])

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