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## Re: [igraph] Python: Converting large, sparse network from Scipy to Igra

**From**: |
Tamás Nepusz |

**Subject**: |
Re: [igraph] Python: Converting large, sparse network from Scipy to Igraph |

**Date**: |
Wed, 3 Jul 2013 17:51:04 +0200 |

>* data.toarray() converts the sparse matrix to dense/full format, which blows *
>* my memory out of the water. What ought I to be doing?*
Use the nonzero() method of your sparse matrix to extract the row/column
indices of the nonzero elements of your matrix, then construct the graph using
the standard Graph() constructor which accepts an edge list. If you want to
keep the weights as well, there should be a way in SciPy to extract the values
of the nonzero elements in the same order (probably A[A.nonzero()] will do the
trick) and then you can assign that vector to the "weight" attribute of your
graph.
--
T.