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# How to make a Gaussian Fit?

 P: n/a Anyone knows how to make a Gaussian fit to a histogram data using Python, or where I can find a library that helps me in this task? Tks everyone... Paxcal Jul 18 '05 #1
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 P: n/a "Xcal" wrote in message news:40***********************@news.telepac.pt... Anyone knows how to make a Gaussian fit to a histogram data using Python, or where I can find a library that helps me in this task? The standard way to fit Guassian distributions to data is to match mean and standard deviation. Take a look in some statistics texts. TJR Jul 18 '05 #2

 P: n/a Xcal wrote: Anyone knows how to make a Gaussian fit to a histogram data using Python, or where I can find a library that helps me in this task? Tks everyone... Paxcal Install the Numeric module, then import MLab a = range(10) mean = MLab.mean(a) 4.5 standard_deviation = MLab.std(a) 3.0276503540974917 Carl Jul 18 '05 #3

 P: n/a Xcal wrote: Anyone knows how to make a Gaussian fit [...] Put it on a mean exercise program and don't allow any deviation. Jul 18 '05 #4

 P: n/a "Xcal" wrote in message news:<40***********************@news.telepac.pt>.. . Anyone knows how to make a Gaussian fit to a histogram data using Python, or where I can find a library that helps me in this task? This is a special case of non-linear fitting, which you can do with the modules in ScientificPython. See http://starship.python.net/~hinsen/ScientificPython/ Here is an extract from the relevant docs... ----------------------------------------------------------------------- Module Scientific.Functions.LeastSquares Functions * leastSquaresFit() General non-linear least-squares fit using the Levenberg-Marquardt algorithm and automatic derivatives. .... ----------------------------------------------------------------------- Cheers Will Jul 18 '05 #5

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