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scipy.sparse.csgraph.

# csgraph_from_dense

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

  Construct a CSR-format sparse graph 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:
    csgraphcsr_array

      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)
      <Compressed Sparse Row sparse array of dtype 'float64'
          with 4 stored elements and shape (4, 4)>