I have been working on a similar problem related to finance. What I
have done is call the "R" statistical software from Python and then use
matplotlib for graphing within Python
I use Python2.4, the "R" statistical package, and a Python package
called rpy which interfaces to "R" from Python
LINKs:
http://rpy.sourceforge.net/
http://www.r-project.org/
My tendency is to submit the data to "R" which does the statistical
calculations, return the results to Python, and then use Matplotlib to
plot. Keep in mind that "R" also has good plotting capabilities and you
might just go with that solution.
###########################################
Eric Firing wrote:
>You might get a good answer here (although I don't have it), but be
>aware that your question relates to math, not plotting, so it is not
>really a matplotlib question. You need nonlinear least-squares. Look
>in scipy, and try the amazing Google.
>
>Eric
>
>Adrian Price-Whelan wrote:
>
>
>>Hey guys -
>>
>>I'm working on a Histogram of pixel values from an astronomical image
>>that looks like a Gaussian curve and then polynomial decay. I'm
>>trying to figure out a way to fit a Gaussian regression to the
>>histogram, but can't find any documentation on this. thanks!
>>
>>-adrian
>>
>>
>
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