pygraphviz

问题 I can't understand what is going on but I no longer seem to be able to plot a pomegranate graph from inside PyCharm. I'm using conda as package manager and have gone though the usual: conda install graphviz conda install python-graphviz but every time I call model.plot() from inside PyCharm I get Traceback (most recent call last): File "<input>", line 1, in <module> File "/Applications/PyCharm.app/Contents/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile pydev_imports.execfile

问题 I am using pygraphviz to create graphs for my project. I am unable to figure out how to center the xlabel of nodes and also how to change the color of xlabel. graph.add_node(row[3], color='goldenrod2', style='filled', shape='box', xlabel=round(self.pi_dict.get(row[3]), 2), fontname='calibri') I tried using xlp='10,10!' and xlabelfontcolor='red' . Both attributes don't seem to work. Where am I going wrong. As you can see in the attached fig. above, the xlabel is positioned by default towards

问题 I am using pygraphviz to create graphs for my project. I am unable to figure out how to center the xlabel of nodes and also how to change the color of xlabel. graph.add_node(row[3], color='goldenrod2', style='filled', shape='box', xlabel=round(self.pi_dict.get(row[3]), 2), fontname='calibri') I tried using xlp='10,10!' and xlabelfontcolor='red' . Both attributes don't seem to work. Where am I going wrong. As you can see in the attached fig. above, the xlabel is positioned by default towards

问题 I'm unable to install pygraphviz even after installing graphviz and ensuring that cgraph.h is present in the directory. I've also manually specified the directory for install. e.g. install-path fatal error C1083: Cannot open include file: 'graphviz/cgraph.h': No such file or directory Looking for any and all suggestions. Using Windows. C:\Users\mmcgown\Desktop\School\MSDS452\pygraphviz-1.5>python setup.py install --prefix=C:\Program_Files_(x86)\Graphviz2.38 --include-path=C:\Program_Files_

问题 I am using pygraphviz library to plot a python graph created using networkx library. Overall I am quite happy with the 'neato' layout, which produces something like this: Now, my data is structured in a way that I always have a central node, then a set of nodes that are at distance 1 from the center, and then another set of nodes wich are at distance 2 from the center. By "distance" I mean number of links before reaching the central node. Because of this, I would like to force the position of

问题 I am using the following code to create a pygraphviz graph. But is it possible to make it render latex math equations (see Figure 1)? If not, is there an alternative python library that plots similar graphs but supports latex rendering ? import networkx as nx from networkx.drawing.nx_agraph import to_agraph G=nx.DiGraph() G.add_node(1,color='blue',style='filled', fillcolor='white',shape='square', label="$3x+2$") G.add_node(2) G.add_node(3) G.add_edge(1, 2) G.add_edge(1, 3) G.add_edge(3, 4) A

问题 I am using the following code to create a pygraphviz graph. But is it possible to make it render latex math equations (see Figure 1)? If not, is there an alternative python library that plots similar graphs but supports latex rendering ? import networkx as nx from networkx.drawing.nx_agraph import to_agraph G=nx.DiGraph() G.add_node(1,color='blue',style='filled', fillcolor='white',shape='square', label="$3x+2$") G.add_node(2) G.add_node(3) G.add_edge(1, 2) G.add_edge(1, 3) G.add_edge(3, 4) A

问题 I am using the following code to create a pygraphviz graph. But is it possible to make it render latex math equations (see Figure 1)? If not, is there an alternative python library that plots similar graphs but supports latex rendering ? import networkx as nx from networkx.drawing.nx_agraph import to_agraph G=nx.DiGraph() G.add_node(1,color='blue',style='filled', fillcolor='white',shape='square', label="$3x+2$") G.add_node(2) G.add_node(3) G.add_edge(1, 2) G.add_edge(1, 3) G.add_edge(3, 4) A

问题 NetworkX is mostly for graph analysis, PyGraphviz mostly for drawing, and they're designed to work together. However, there's at least one respect in which NetworkX's graph drawing (via MatPlotLib) is superior to PyGraphviz's graph drawing (via Graphviz), namely that NetworkX has a spring layout algorithm (accessible via the spring_layout function) specifically for directed graphs while PyGraphviz has several spring layout algorithms (accessible via the neato program, and others) that lay out

问题 I am trying to draw a 100 node multi-graph G in graphviz layout in python's networkx so I made two trials so far: Trial 1 nx.draw_graphviz function as follows nx.draw_graphviz(G) but I get the following error repeated for all nodes in the graph: Error: node 1, position [0.127506302389087, 0.3262608552621944], expected two doubles Then trying to figure a solution I used trial 2 A=nx.to_agraph(G) to get a pygraphviz graph but when I try to draw with nx.draw_graphviz(A) I get the following Error