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)) > 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") Best, Tiago -- Tiago de Paula Peixoto <ti...@skewed.de>
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