[Scipy-tickets] [SciPy] #1204: optimize.curve_fit doesn't handle a single parameter
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Thu Jun 17 08:03:26 CDT 2010
#1204: optimize.curve_fit doesn't handle a single parameter
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Reporter: warren.weckesser | Owner: somebody
Type: defect | Status: new
Priority: normal | Milestone: 0.8.0
Component: scipy.optimize | Version: 0.7.0
Keywords: |
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Reported by Martin Paesold on the scipy-user mailing list:
{{{
I ran into trouble as I tried to fit data using only one fitting
parameter. The functions '_general_function' and
'_weigted_general_function' in the module
python2.6/site-packages/scipy/optimize/minpack.py throw an TypeError.
I use Python 2.6.5 -- EPD 6.2-1 (32-bit) on Ubuntu 9.10
I attached a file that produces the error. I think the problem is that
the argument 'params' of the above functions is passed to the model
used for the fit as 'function(xdata, *params)'. It seems that 'params'
can be scalar which causes the TypeError when calling 'function'. I
don't see why that happens, but for now I could solve my problem if
'_general_function' and '_weigted_general_function' check whether
'params' is scalar and cast it to a list if so:
'if isscalar(params): params = [params]'.
}}}
--
Ticket URL: <http://projects.scipy.org/scipy/ticket/1204>
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