neato

Visualizing networks in GWT [closed]

由 与世无争的帅哥 提交于 2020-01-15 12:35:10
问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 5 years ago . I'd like to integrate network visualization into my GWT app. I was thinking of using JUNG (check out this question) or neato to do the layout work and GWT-Graphics to do the drawing. It's also possible to combine GWT-Graphics with Processing and use a Processing library for

How to run neato from pygraphviz on Windows

由 柔情痞子 提交于 2020-01-01 02:45:12
问题 I am trying to use pygraphviz and networkx in python (v 2.7) to create a network map. I found a script that looks very useful on stackoverflow: import networkx as nx import numpy as np import string import pygraphviz dt = [('len', float)] A = np.array([(0, 0.3, 0.4, 0.7), (0.3, 0, 0.9, 0.2), (0.4, 0.9, 0, 0.1), (0.7, 0.2, 0.1, 0) ])*10 A = A.view(dt) G = nx.from_numpy_matrix(A) G = nx.relabel_nodes(G, dict(zip(range(len(G.nodes())),string.ascii_uppercase))) G = nx.to_agraph(G) G.node_attr

How can I make DOT/neato graphs more compact without introducing overlap?

由 一世执手 提交于 2020-01-01 02:41:11
问题 My question is essentially the same as this one but the given answer doesn't work for me. Here is a sample rendering (source) with compound=true; overlap=scalexy; splines=true; layout=neato; There is some unnecessary overlap in the edges but this isn't too bad, the main problem is all the wasted space. I tried setting sep=-0.7; and here's what happens. The spacing is much better but now there is some overlap with the nodes. I experimented with different overlap parameters and this is the only

What is the best way to draw large graph using graphvis

由 不想你离开。 提交于 2019-12-23 03:02:02
问题 I need to draw large dataset on image, I used graphvis command lines with all available tools (dot, neato, twopi .. etc) but the result is not readable and contains overlapping. What I need is display the nodes with labels on the edges, with minimum overlapping so the graph can be readable and also printed on A4 or A3 paper. I used the options overlap=false, splines=true in neato and same overlapping result. Here is the dataset: graph { graph [ bgcolor=ivory2, overlap=false, splines=true,

How to avoid overlapping nodes in graphviz?

由 随声附和 提交于 2019-12-21 07:07:31
问题 I am trying to draw a graph with many nodes and edges. However, the graph is becoming too clumsy, with nodes and edges overlapping. I tried (unsuccessfully), the following, all or combinations of these. size = "12.0, 20.0!"; margin = 0.0; len = 1.0; I am using neato to generate a png file. The size specification did not even seem to work. Any tips will be appreciated. 回答1: Try using sfdp or fdp from the same graphviz package. This tools have two parameters K and repulsiveforce which control

how to use neato with spline and avoid mutual edges overlapping?

由 三世轮回 提交于 2019-12-12 18:40:19
问题 I have a directed graph with ~20 nodes that I need to have their positions fixed. So, I'm using neato to generate my svg file. The problem is that if I use the straight lines, I have edges overlapping some of the nodes. If a set -Gsplines=true -Gsep=1 the edges avoid the nodes nicely but them the mutual nodes (that is, nodes from a -> b and b -> a) are displayed on top of each other... Below is a piece of it, for example, where edges 9 -> 12 and 12 -> are completely overlapped. Does anyone

How to avoid overlapping nodes in graphviz?

由 爷，独闯天下 提交于 2019-12-03 23:32:04
I am trying to draw a graph with many nodes and edges. However, the graph is becoming too clumsy, with nodes and edges overlapping. I tried (unsuccessfully), the following, all or combinations of these. size = "12.0, 20.0!"; margin = 0.0; len = 1.0; I am using neato to generate a png file. The size specification did not even seem to work. Any tips will be appreciated. Try using sfdp or fdp from the same graphviz package. This tools have two parameters K and repulsiveforce which control how far the nodes will be from each other. Look here for further details Augustin Try using SFDP using graph

How to set the 'spring' force with graphviz for compact graph layouts

由 与世无争的帅哥 提交于 2019-12-03 12:27:21
问题 I'm generating diagram with graphviz and I have a problem - there are several nodes that are very large - and large number of small nodes. I tried generating png with neato and fdp but both generate very large graphics, which are mostly blank (nodes are very far apart). Is there a way to set a larger spring 'strength' for these tools to force nodes closer together? 回答1: When using neato, you may fiddle with the overlap and with the sep attribute. overlap can be set to false , compress ,

How to run neato from pygraphviz on Windows

由 若如初见. 提交于 2019-12-03 06:56:29
I am trying to use pygraphviz and networkx in python (v 2.7) to create a network map. I found a script that looks very useful on stackoverflow: import networkx as nx import numpy as np import string import pygraphviz dt = [('len', float)] A = np.array([(0, 0.3, 0.4, 0.7), (0.3, 0, 0.9, 0.2), (0.4, 0.9, 0, 0.1), (0.7, 0.2, 0.1, 0) ])*10 A = A.view(dt) G = nx.from_numpy_matrix(A) G = nx.relabel_nodes(G, dict(zip(range(len(G.nodes())),string.ascii_uppercase))) G = nx.to_agraph(G) G.node_attr.update(color="red", style="filled") G.edge_attr.update(color="blue", width="2.0") G.draw('/tmp/out.png',

How to set the 'spring' force with graphviz for compact graph layouts

由 穿精又带淫゛_ 提交于 2019-12-03 02:54:25
I'm generating diagram with graphviz and I have a problem - there are several nodes that are very large - and large number of small nodes. I tried generating png with neato and fdp but both generate very large graphics, which are mostly blank (nodes are very far apart). Is there a way to set a larger spring 'strength' for these tools to force nodes closer together? When using neato, you may fiddle with the overlap and with the sep attribute. overlap can be set to false , compress , scalexy , and more . sep may either designate an additive margin when used with a preceding plus sign, otherwise
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