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From: | Tamas Nepusz |
Subject: | Re: [igraph] Python iGraph: Create graph from numpy / pandas dataframe |
Date: | Sat, 15 Apr 2017 23:35:17 +0200 |
Hell All,I'm trying to figure out the most efficient way of creating an igraph object form an edgelist stored in a numpy array (or rather, technically, a pandas DataFrame).The DataFrame looks something like:a b weight100 101 1100 102 5101 103 1101 104 4The numbers in a and b are NOT sequential integers, though I can write code to make those conversion if necessary.One option is obviously to write out the data frame as a text file, then re-import as an ncol or such. But my dataset is very large (the edgelist has about 400,000,000 entries), which means that's a massively slow process, and I think loading the text file when importing into igraph may be requiring more ram than I have.I've found resources on importing adjacency matrices, but nothing on edgelists.Anyone run into this before / have any suggestions?Thanks!Nick
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