Hi Tamas, I have different datasets- the smallest networks consist of 80 nodes, the largest even 10,000 (yes I have a lot of RAM), but I'm happy to only visualise the small ones. At the moment I've got a numpy matrix, but I can convert it into a list of lists or anything else that is needed.
Also, my matrix is really a distance matrix (each value is an inverse weight between the nodes), but I can easily convert it into a similarity matrix (weighted adjacency matrix). In reality the graph is fully connected, I'm planning to play around with the settings and select a cutoff value for the distance or maximum number of neighbours not to introduce too many edges. And additionally I have a list (or numpy array) with node labels, and another list with binary values which I would like to use to specify the node colour. Thanks for helping out, Jan T On 24 February 2015 at 13:24, Tamas Nepusz <[email protected]> wrote: > Hi, > > > I've just installed igraph-python hoping it will allow me to generate a > > visualisation of my network given the adjacency matrix. In the tutorial > > this is listed as TODO. Does this mean that this functionality had not > been > > yet implemented or is it simply not yet explained in the tutorial? > This is not explained yet in the tutorial but it is definitely possible to > create a graph out of an adjacency matrix in Python and then plot it. (And > if > you have an adjacency matrix and not an edge list then it probably cannot > be > _that_ big anyway ;)). How does your matrix look like? Is it an ordinary > Python > list-of-lists, or is it a NumPy matrix, or somethng else? > > T. > -- Jan Zaucha Bristol Centre for Complexity Sciences Computational Genomics Group University of Bristol
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