Graphical block debugging: Difference between revisions
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Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations. | Some progress has been made on this, with the addition of a method in the <tt>system</tt> directory called <tt>system_write_graph</tt>. This method should output the incidence between a filtered set of variables and relations. The graph is drawn using [http://www.graphviz.org GraphViz]. | ||
[[Image:Lotka-graph.png|200px|thumb|none|Graph of the relationship between variables and relations in the {{src|models/johnpye/lotka.a4c}} example. | [[Image:Lotka-graph.png|200px|thumb|none|Graph of the relationship between variables and relations in the {{src|models/johnpye/lotka.a4c}} example.]] | ||
At present this functionality is available from the Python API as shown: | At present this functionality is available from the Python API as shown: | ||
Revision as of 01:41, 26 November 2017
Some images have been lost from this page during a recent server failure. We are working to restore the missing content.
This page documents an experimental feature. Please tell us if you experience any problems.
Some progress has been made on this, with the addition of a method in the system directory called system_write_graph. This method should output the incidence between a filtered set of variables and relations. The graph is drawn using GraphViz.

At present this functionality is available from the Python API as shown:
L=ascpy.Library() L.load('johnpye/lotka.a4c') M = self.L.findType('lotka').getSimulation('sim') M.build() f = file('lotka.png','w') M.write(f,"dot") f.close()
The file lotka.png can then be viewed in your preferred graphics viewer.
Some preliminary work at integrating these graphics into the PyGTK has been made, see Incidence Graph.