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From: | Tom Backer Johnsen |
Subject: | Re: [igraph] Language remmendations |
Date: | Sat, 31 Jan 2009 13:30:44 +0100 |
User-agent: | Thunderbird 2.0.0.19 (Windows/20081209) |
Tamas Nepusz wrote:
I have downloaded the documentation for the R version of igraph package. However, I have not been able to locate anything specifically for the 2.5 version of Python. Does that mean that theNot exactly, but there are no huge differences. The most notable difference is that in Python, igraph's functionality is mostly implemented as methods on instances of a Graph object, while you just simply call functions in R. So, in Python, you do something like this:calls on functions are essentially the same?from igraph import * g = Graph([(0,1), (1,2), (2, 0), (0,3)]) print g.diameter()(Note that "diameter" is a method of the newly created Graph object, not an independent function of its own).At any point in Python, you can simply type help(Graph) to get the documentation of the Graph object which encapsulates most of igraph's functionality. (Of course this works only if you executed "from igraph import *" before to import igraph's objects into the main namespace). Note that the list of Graph methods is fairly long; if you are looking for the documentation of a specific method, you can call help() with that specific method.By the way, the full API of igraph's Python interface is to be found here: http://cneurocvs.rmki.kfki.hu/igraph/doc/python/ The best starting points are the documentation for the Graph and GraphBase classes: http://cneurocvs.rmki.kfki.hu/igraph/doc/python/igraph.Graph-class.html http://cneurocvs.rmki.kfki.hu/igraph/doc/python/igraph.GraphBase-class.html
For some reason the links do not work for me at the moment, but that may be temporary.
(Note that Graph is inherited from GraphBase and you shouldn't use GraphBase directly)I'm in the process of writing a tutorial for the Python interface; it should be ready in a week or so, please let me know if you want to take a look at it before the next release.
I would really appreciate that. At the moment I am leaning towards the use of Python, and that might be a help.
Also, the R documentation I have is at least half a year old, which may make a difference, given the fair amount of activity on this list.The most recent stable version of igraph is 0.5.1; if your R docs are for that version, then that's fine.
That is the version I have.
I'm not really familiar with NetLogo; if you feel that connecting NetLogo with R can be done without too much effort, then I think it's better for you to go with them as you know both of these tools. On the other hand, I use Python extensively and I do all my network-related research using Python and igraph's Python interface - but I know that the docs for the Python interface could be made better (and I'm working on it).For instance, would it be advisable to drop Python altogether and exclusively work with a combination of Netlogo and R? Or is the versatility of Python useful?
That is reassuring. In any case, that you for a very informative response to my somewhat vague questions!
Tom
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