I have an example of fitting distributions to bus arrival times using
'R' that may be helpful. I wanted to calculate the latest time I could
arrive at the bus stop and have a better than 95% chance of catching
the bus. I tend to use R and Scipy whereever each is strongest.

http://www.oplnk.net/~ajackson/software/
http://www.oplnk.net/~ajackson/software/BusStats.R

On Sun, 11 May 2008 18:49:58 -0500
glenn andrews <[EMAIL PROTECTED]> wrote:

> 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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