I've started on a project graphing Tomcat logs using gnuplot-py, specifically correlating particular requests with memory allocation and garbage collection. What is the collective wisdom on gnuplot-py vs Matplotlib for Python graphing. Are there better graphing libraries out there I haven't heard of? My general considerations are: <ul> <li>While gnuplot has large amounts of documentation, gnuplot-py doesn't. How good is documentation community for Matplotlib?</li> <li>Are there things which gnuplot can do, but gnuplot-py can't? </li> <li>Does Matplotlib have better Python support?</li> <li>Are there are big show stopping bugs in either? Annoyances?</li> <li>Currently gnuplot is graphing 100,000's of points, I'm planning on scaling this up to millions. Should I expect problems? How well does Matplotlib handle this?</li> <li>Ease of use, turnaround time for gnuplot vs Matplotlib?</li> <li>How easy would it be to port existing gnuplot-py code to Matplotlib?</li> </ul> How would you approach this task?

<ul> <li>You can check matplotlib's documentation yourself. I find it quite comprehensive.</li> <li>I have very little experience with gnuplot-py, so I can not say whether it can do all gnuplot can.</li> <li>Matplotlib is written in and designed specifically for Python, so it fits very nicely with Python idioms and such.</li> <li>Matplotlib is a mature project. NASA uses it for some stuff.</li> <li>I've plotted tens of millions of points in Matplotlib, and it still looked beautiful and responded quickly.</li> <li>Beyond the object-oriented way of using Matplotlib is the pylab interface, which makes plotting as easy as it is in MATLAB -- that is, very easy.</li> <li>As for porting from gnuplot-py to matplotlib, I have no idea.</li> </ul>

gnuplot vs Matplotlib [closed]

Tags:

python

logging

matplotlib

gnuplot

graphing

I've started on a project graphing Tomcat logs using gnuplot-py, specifically correlating particular requests with memory allocation and garbage collection. What is the collective wisdom on gnuplot-py vs Matplotlib for Python graphing. Are there better graphing libraries out there I haven't heard of?

My general considerations are:

While gnuplot has large amounts of documentation, gnuplot-py doesn't. How good is documentation community for Matplotlib?
Are there things which gnuplot can do, but gnuplot-py can't?
Does Matplotlib have better Python support?
Are there are big show stopping bugs in either? Annoyances?
Currently gnuplot is graphing 100,000's of points, I'm planning on scaling this up to millions. Should I expect problems? How well does Matplotlib handle this?
Ease of use, turnaround time for gnuplot vs Matplotlib?
How easy would it be to port existing gnuplot-py code to Matplotlib?

How would you approach this task?

748

asked May 26 '09 16:05

Ethan Heilman

1 Answers

You can check matplotlib's documentation yourself. I find it quite comprehensive.
I have very little experience with gnuplot-py, so I can not say whether it can do all gnuplot can.
Matplotlib is written in and designed specifically for Python, so it fits very nicely with Python idioms and such.
Matplotlib is a mature project. NASA uses it for some stuff.
I've plotted tens of millions of points in Matplotlib, and it still looked beautiful and responded quickly.
Beyond the object-oriented way of using Matplotlib is the pylab interface, which makes plotting as easy as it is in MATLAB -- that is, very easy.
As for porting from gnuplot-py to matplotlib, I have no idea.

109

answered Sep 18 '22 06:09

Autoplectic

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