networkx 中什么函数取代了 bipartite_configuration_model？
What function has replaced bipartite_configuration_model in networkx?
我有一段依赖于 networkx 的旧代码。我在最后一行收到错误消息：
# Generate a random graph with the appropriate degree sequence.
left_sequence = [left_degree for x in range(L)]
right_sequence = [right_degree for x in range(R)]
# Need to use `create_using=Graph()` or else networkx will create a
# multigraph.
graph = bipartite_configuration_model(left_sequence, right_sequence,
create_using=Graph(), seed=seed)
在较新版本的 networkx 中，什么功能取代了 bipartite_configuration_model？
方法 bipartite_configuration_model, which I've found in networkx 1.9 docs is the same as configuration_model，已移至 bipartite 模块。据我所知，这是通过迁移到 2.0 完成的，但我没有发现任何明确提及这一点。
我有一段依赖于 networkx 的旧代码。我在最后一行收到错误消息：
# Generate a random graph with the appropriate degree sequence.
left_sequence = [left_degree for x in range(L)]
right_sequence = [right_degree for x in range(R)]
# Need to use `create_using=Graph()` or else networkx will create a
# multigraph.
graph = bipartite_configuration_model(left_sequence, right_sequence,
create_using=Graph(), seed=seed)
在较新版本的 networkx 中，什么功能取代了 bipartite_configuration_model？
方法 bipartite_configuration_model, which I've found in networkx 1.9 docs is the same as configuration_model，已移至 bipartite 模块。据我所知，这是通过迁移到 2.0 完成的，但我没有发现任何明确提及这一点。