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scipy.sparse.csgraph.

# csgraph_masked_from_dense

scipy.sparse.csgraph.csgraph_masked_from_dense(graph, null_value=0, nan_null=True, infinity_null=True, copy=True)

  Construct a masked array graph representation from a dense matrix.

  Added in version 0.11.0.

  Parameters:
    grapharray_like

      Input graph. Shape should be (n_nodes, n_nodes).

    null_valuefloat or None (optional)

      Value that denotes non-edges in the graph. Default is zero.

    infinity_nullbool

      If True (default), then infinite entries (both positive and negative) are treated as null edges.

    nan_nullbool

      If True (default), then NaN entries are treated as non-edges

  Returns:
    csgraphMaskedArray

      masked array representation of graph

  Examples

      >>> from scipy.sparse.csgraph import csgraph_masked_from_dense

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

      >>> csgraph_masked_from_dense(graph)
      masked_array(
        data=[[--,  1,  2, --],
              [--, --, --,  1],
              [--, --, --,  3],
              [--, --, --, --]],
        mask=[[ True, False, False,  True],
              [ True,  True,  True, False],
              [ True,  True,  True, False],
              [ True,  True,  True,  True]],
        fill_value=0)