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scipy.sparse.

# block_array

scipy.sparse.block_array(blocks, *, format=None, dtype=None)

  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]])