[英]Networkx: Network graph from pandas dataframe
I have the following dataset:我有以下数据集:
Company_ID Firm_Name
125911 Ampersand
125911 BancBoston
32679 BP Corp
74240 CORNING
32679 DIEBOLD
32679 DIEBOLD
74240 Fidelity
74240 Greylock
32679 INCO
67734 INCO
67734 Innova
32679 Kleiner
67734 Kleiner
67734 Kleiner
67734 Mayfield
32679 Pliant
67734 Pliant
67734 Sofinnova
43805 Warburg
The dataframe shows when different investment firms have invested in the same Company during a year. dataframe 显示不同投资公司在一年内投资同一家公司的时间。 I want to create a network graph of the Connections between the Firm_ID only.
我只想创建 Firm_ID 之间的连接的网络图。 For example Ampersand and BancBoston have both invested in the same company and should therefore be connected.
例如,Ampersand 和 BancBoston 都投资了同一家公司,因此应该建立联系。 The code I have tried is:
我试过的代码是:
G = nx.Graph()
G = nx.from_pandas_edgelist(df, 'Company_ID', 'Firm_Name')
nx.draw_shell(H, with_labels=True)
Which generates the following graph:这会生成以下图表:
This shows the connections of both Company_ID and Firm_Name.这显示了 Company_ID 和 Firm_Name 的连接。 I only want to have the Firms as nodes, where they are connected if they have invested in the same company.
我只想将这些公司作为节点,如果他们投资了同一家公司,它们就会连接起来。 I have not found any similar problems or similar datasets where networkx is used.
我没有发现任何使用 networkx 的类似问题或类似数据集。 Any help is greatly appreciated!
任何帮助是极大的赞赏!
Try with merge
尝试
merge
out = df.merge(df,on=['Company_ID'])
G = nx.Graph()
G = nx.from_pandas_edgelist(df, 'Firm_Name_x', 'Firm_Name_y')
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