from pgmpy.readwrite import BIFReader import networkx as nx import pydot from networkx.drawing.nx_pydot import graphviz_layout def summary_dag(filename): file = BIFReader(filename) model = file.get_model() # Cria um objeto BayesianModel nodes = model.nodes() asc = 0 des = 0 nodes_in = 0 nodes_out = 0 for x in nodes: # Obtem os nós pais e filhos de cada nós parents = model.get_parents(x) children = model.get_children(x) if len(parents) != 0: des += 1 if len(children) != 0: asc += 1 nodes_in += len(children) nodes_out += len(parents) return {'dag_file': filename, 'nodes': nodes, 'count_parents': des, 'count_children': asc, 'count_in_edges': nodes_in, 'count_out_edges': nodes_out} def summary_str(d): s = "DAG file: " + d["dag_file"] + "\n" s += " Number of nodes: " + str(len(d["nodes"])) + "\n" s += " Number of parents: " + str(d["count_parents"]) + "\n" s += " Number of children: " + str(d["count_children"]) + "\n" s += " Average in-degree: " + str(d["count_in_edges"]/len(d["nodes"])) + "\n" s += " Average out-degree: " + str(d["count_out_edges"]/len(d["nodes"])) + "\n" s += " Nodes:" + "\n" nodes = d["nodes"] for x in nodes: s += " " + str(x) + "\n" return s def show_dag(model): G = nx.DiGraph() for node in model.nodes: G.add_node(node) for edge in model.edges: G.add_edge(edge[0], edge[1]) # objeto pydot dot = pydot.Dot(graph_type='digraph') for node in model.nodes: dot.add_node(pydot.Node(node)) for edge in model.edges: dot.add_edge(pydot.Edge(edge[0], edge[1])) # defina o layout do grafo pos = graphviz_layout(G, prog='dot') # desenhe o grafo usando o networkx nx.draw(G, pos, with_labels=True) def save_dag(model, target_filename): G = nx.DiGraph() for node in model.nodes: G.add_node(node) for edge in model.edges: G.add_edge(edge[0], edge[1]) # objeto pydot dot = pydot.Dot(graph_type='digraph') for node in model.nodes: dot.add_node(pydot.Node(node)) for edge in model.edges: dot.add_edge(pydot.Edge(edge[0], edge[1])) # defina o layout do grafo pos = graphviz_layout(G, prog='dot') # renderize o grafo com o pydot graph = pydot.graph_from_dot_data(dot.to_string())[0] graph.write_png(target_filename) summary = summary_dag("asia2.bif") message = summary_str(summary) print(message)