Module « scipy.sparse.csgraph »

Fonction csgraph_from_dense - module scipy.sparse.csgraph

Signature de la fonction csgraph_from_dense

Description

csgraph_from_dense.__doc__

    csgraph_from_dense(graph, null_value=0, nan_null=True, infinity_null=True)

    Construct a CSR-format sparse graph from a dense matrix.

    .. versionadded:: 0.11.0

    Parameters
    ----------
    graph : array_like
        Input graph.  Shape should be (n_nodes, n_nodes).
    null_value : float or None (optional)
        Value that denotes non-edges in the graph.  Default is zero.
    infinity_null : bool
        If True (default), then infinite entries (both positive and negative)
        are treated as null edges.
    nan_null : bool
        If True (default), then NaN entries are treated as non-edges

    Returns
    -------
    csgraph : csr_matrix
        Compressed sparse representation of graph,

    Examples
    --------
    >>> from scipy.sparse.csgraph import csgraph_from_dense

    >>> graph = [
    ... [0, 1 , 2, 0],
    ... [0, 0, 0, 1],
    ... [0, 0, 0, 3],
    ... [0, 0, 0, 0]
    ... ]

    >>> csgraph_from_dense(graph)
    <4x4 sparse matrix of type '<class 'numpy.float64'>'
        with 4 stored elements in Compressed Sparse Row format>