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 weight
100 101 1
100 102 5
101 103 1
101 104 4
The 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
<http://stackoverflow.com/questions/29655111/igraph-graph-from-numpy-or-pandas-adjacency-matrix>,
but nothing on edgelists.
Anyone run into this before / have any suggestions?
Thanks!
Nick
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