        return None

    learned_graph = nx.DiGraph(pc.causal_matrix)
    # Relabel the nodes
    MAPPING = {k: n for k, n in zip(range(len(names)), names)}
    learned_graph = nx.relabel_nodes(learned_graph, MAPPING, copy=True)
    edges =learned_graph.edges
    fedges =[]
    for tup in edges:
        if tup not in fedges:
            fedges.append(tup)
        if (tup[1] ,tup[0]) not in fedges:
            fedges.append((tup[1] ,tup[0]))
    return fedges</code></pre>
</details>
</dd>
<dt id="PdmContext.