Hi, On Fri, Jun 5, 2015 at 4:31 AM, Tiago de Paula Peixoto <[email protected]> wrote:
> On 04.06.2015 23:01, Santiago Videla wrote: > > From the docs I'd expect h[0][1] == np.mean(w) (which is the case) and > h[1][1] == np.std(w) (which is not the case). > > As it is written in the documentation, the second value computed is the > standard deviation of the _mean_, not the standard deviation of the > _population_, which is what you are computing. The standard deviation of > the mean is: std(w) / sqrt(len(w)) > thanks! I missed that > > > In fact, I got to this issue trying to implement the analogous > > function to graph_tool.correlations.avg_neighbour_corr but looking at > > *in_neighbours* instead of *out_neighbours* > > This is trivial, just compute the avg_neighbour_corr with the reversed > graph: > > avg_neighbour_corr(GraphView(g, reversed=True), "in", "out") > sweet! I'm just starting with graph-tool and I didn't get to know the whole api yet. Regards, > > Best, > Tiago > > -- > Tiago de Paula Peixoto <[email protected]> > > > _______________________________________________ > graph-tool mailing list > [email protected] > http://lists.skewed.de/mailman/listinfo/graph-tool > > -- Santiago Videla http://www.linkedin.com/in/svidela
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