Module « scipy.sparse »

Fonction bmat - module scipy.sparse

Signature de la fonction bmat

def bmat(blocks, format=None, dtype=None) 

Description

bmat.__doc__

    Build a sparse matrix from sparse sub-blocks

    Parameters
    ----------
    blocks : array_like
        Grid of sparse matrices with compatible shapes.
        An entry of None implies an all-zero matrix.
    format : {'bsr', 'coo', 'csc', 'csr', 'dia', 'dok', 'lil'}, optional
        The sparse format of the result (e.g. "csr"). By default an
        appropriate sparse matrix format is returned.
        This choice is subject to change.
    dtype : dtype, optional
        The data-type of the output matrix. If not given, the dtype is
        determined from that of `blocks`.

    Returns
    -------
    bmat : sparse matrix

    See Also
    --------
    block_diag, diags

    Examples
    --------
    >>> from scipy.sparse import coo_matrix, bmat
    >>> A = coo_matrix([[1, 2], [3, 4]])
    >>> B = coo_matrix([[5], [6]])
    >>> C = coo_matrix([[7]])
    >>> bmat([[A, B], [None, C]]).toarray()
    array([[1, 2, 5],
           [3, 4, 6],
           [0, 0, 7]])

    >>> bmat([[A, None], [None, C]]).toarray()
    array([[1, 2, 0],
           [3, 4, 0],
           [0, 0, 7]])