I have many large dataframes of the following structure with 1 input node in each row and multiple output nodes and edge weights. input_node output_nodes edge-weights id-attr attribute 1 11347-5 ['64837-1', '116228-0'] [0.01001617, 0.01778383] 82249852 372856 2 116228-0 ['14328-3'] [0.3505] 82283186 372892 3 39644-0 ['116228-0'] [0.10184362] 82273700 372878 4 116228-0 ['116228-0'] [0.21326264] 82278451 372887 5 116228-0 ['64827-1', '116228-0'] [0.02947139, 0.08275262] 82249816 372855 >
For example, rows 1 and 5 have 1 input node, 2 output nodes, the corresponding 2 edge weights (they are numbers), and few attributes; rows 2 through 4 have 1 input, and 1 output, etc . How do I read this dataframe in igraph to make a graph while retaining attributes. Typically igraph asks for the dataframe to have the first 2 columns to be individual and output nodes. This is a large dataframe where, the # of output nodes could be large in some rows. I can imagine doing this by a "for" loop and regex. But, that would be too slow and the new dataframe would require more memory. Would appreciate any suggestions. Thank you. Sid
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