python – Networkx Multigraph from_pandas_dataframe

更新：
所写的问题与Networkx版本相关< 2.0. from_pandas_dataframe方法 has been dropped.
要在Networkx> = 2.0中完成相同的任务,请参阅对已接受答案的更新.

尝试使用networkx的from_pandas_dataframe从pandas DataFrame创建一个MultiGraph()实例.我在下面的例子中做错了什么？

In [1]: import pandas as pd
        import networkx as nx

        df = pd.DataFrame([['geneA', 'geneB', 0.05, 'method1'],
                           ['geneA', 'geneC', 0.45, 'method1'],
                           ['geneA', 'geneD', 0.35, 'method1'],
                           ['geneA', 'geneB', 0.45, 'method2']], 
                           columns = ['gene1','gene2','conf','type'])

首先尝试使用默认的nx.Graph()：

In [2]: G= nx.from_pandas_dataframe(df, 'gene1', 'gene2', edge_attr=['conf','type'], 
                                    create_using=nx.Graph())

作为一个非MultiGraph(),我错过了一个重复的边：

In [3]: G.edges(data=True)
Out[3]: [('geneA', 'geneB', {'conf': 0.45, 'type': 'method2'}),
         ('geneA', 'geneC', {'conf': 0.45, 'type': 'method1'}),
         ('geneA', 'geneD', {'conf': 0.35, 'type': 'method1'})]

使用MultiGraph()：

In [4]: MG= nx.from_pandas_dataframe(df, 'gene1', 'gene2', edge_attr=['conf','type'], 
                             create_using=nx.MultiGraph())

这个：

TypeError                                 Traceback (most recent call last)
<ipython-input-49-d2c7b8312ea7> in <module>()
----> 1 MG= nx.from_pandas_dataframe(df, 'gene1', 'gene2', ['conf','type'], create_using=nx.MultiGraph())

/usr/lib/python2.7/site-packages/networkx-1.10-py2.7.egg/networkx/convert_matrix.pyc in from_pandas_dataframe(df, source, target, edge_attr, create_using)
    209         # Iteration on values returns the rows as Numpy arrays
    210         for row in df.values:
--> 211             g.add_edge(row[src_i], row[tar_i], {i:row[j] for i, j in edge_i})
    212 
    213     # If no column names are given, then just return the edges.

/usr/lib/python2.7/site-packages/networkx-1.10-py2.7.egg/networkx/classes/multigraph.pyc in add_edge(self, u, v, key, attr_dict, **attr)
    340             datadict.update(attr_dict)
    341             keydict = self.edge_key_dict_factory()
--> 342             keydict[key] = datadict
    343             self.adj[u][v] = keydict
    344             self.adj[v][u] = keydict

TypeError: unhashable type: 'dict'

题
如何从pandas数据帧中实例化MultiGraph()？

最佳答案

Networkx< 2.0：
这是一个错误,我在GitHub上打开了一个问题,一旦我建议了 edit：

它将convert_matrix.py的第211行更改为：

g.add_edge(row[src_i], row[tar_i], attr_dict={i:row[j] for i, j in edge_i})

这一变化的结果:(已被纳入)

MG= nx.from_pandas_dataframe(df, 'gene1', 'gene2', edge_attr=['conf','type'], 
                                 create_using=nx.MultiGraph())

MG.edges(data=True)
[('geneA', 'geneB', {'conf': 0.05, 'type': 'method1'}),
         ('geneA', 'geneB', {'conf': 0.45, 'type': 'method2'}),
         ('geneA', 'geneC', {'conf': 0.45, 'type': 'method1'}),
         ('geneA', 'geneD', {'conf': 0.35, 'type': 'method1'})]

Networkx> = 2.0：
在具有此格式(边缘列表)的DataFrame中,使用from_pandas_edgelist

MG= nx.from_pandas_edgelist(df, 'gene1', 'gene2', edge_attr=['conf','type'], 
                             create_using=nx.MultiGraph())

MG.edges(data=True)
MultiEdgeDataView([('geneA', 'geneB', {'conf': 0.05, 'type': 'method1'}),
                   ('geneA', 'geneB', {'conf': 0.45, 'type': 'method2'}),
                   ('geneA', 'geneC', {'conf': 0.45, 'type': 'method1'}), 
                   ('geneA', 'geneD', {'conf': 0.35, 'type': 'method1'})])

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