[graph-tool] How can I extract the positions of the nodes and edges of the dendrogram obtained from minimize_nested_blockmodel_dl?
Hi. I'm trying to create an interactive web plot with the result obtained form minimize_nested_blockmodel_dl. Until now, I'm able to draw the edges and nodes positions in webgl. However, I have a issue. How can I get the node positions and edges from the dendrogram graph? graph-tool result https://ibb.co/hLKrcxs webgl result https://ibb.co/YLnhy83 ```python state = gt.inference.minimize.minimize_nested_blockmodel_dl(g, ... pos, tg, tpos = state.draw(**options) ``` # beizer control points cts = gt.draw.get_hierarchy_control_points(g, tg, tpos) ``` Thanks ___ graph-tool mailing list -- graph-tool@skewed.de To unsubscribe send an email to graph-tool-le...@skewed.de
[graph-tool] Re: get_hierarchy_control_points return values
I have the same question as Davide Cittaro. I'm trying to create the same plot got from minimize_nested_blockmodel_dl and draw_hyerarch, but using the threejs (https://threejs.org/docs/?q=curve#api/in/extras/curves/Quadratic Bezier Curve) I'm using this code to extract the control points ``` state = gt.inference.minimize.minimize_nested_blockmodel_dl(g) pos, t, tpos = state.draw(**options) cts = gt.draw.get_hierarchy_control_points(g, t, tpos) ``` However I couldn't get how the control points are enconded in the cts ds. For example, a sinlge instance of cts object I have this print(list(cts)[100] ) [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.03 0.09 0.05 0.18 0.11 0.36 0.17 0.48 0.23 0.61 0.3 0.69 0.36 0.84 0.42 0.99 0.46 1.21 0.5 1.23 0.55 1.25 0.6 1.06 0.65 0.87 0.7 0.69 0.75 0.5 0.81 0.35 0.87 0.21 0.93 0.1 0.97 0.05 1. 0. 1. 0. 1. 0. 1. 0. 1. 0. 1. 0. ] What's the meaning of the first 12 elements? How (x,y) for control points are encoded? Best regards ___ graph-tool mailing list -- graph-tool@skewed.de To unsubscribe send an email to graph-tool-le...@skewed.de
