I have two pandas dataframes, nodes_df and edges_df. The nodes_df contains node identifiers and attributes, while the edges_df contains the source and target nodes and edge attributes (in my case, weights and edge type). I would like to create an ig.Graph (I use import igraph as ig) from these two …

Update You can now directly construct a graph based on a pandas DataFrame using Graph.DataFrame . Old answer The easiest is to use Graph.DictList as follows: G = ig.Graph.DictList( vertices=nodes_df.to_dict('records'), edges=edges_df.to_dict('records'), directed=True…

Hey, sorry, but could you provide a reproducible example? The answer is otherwise difficult to understand.

[image] pratikunterwegs: could you provide a reproducible example? What is exactly not reproducible about this? If you have a node dataframe with a column named id, and an edge dataframe with two columns named source and target, the code is immediately usable.

How to create a graph from pandas dataframes?

Usage

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How to create a graph from pandas dataframes?

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