[SciPy-User] scipy.optimize leastsq with numpy longdouble?
Charles R Harris
Wed Nov 17 11:20:59 CST 2010
On Wed, Nov 17, 2010 at 10:13 AM, Joan Smith <firstname.lastname@example.org> wrote:
> I'm fitting a maxwell-botlzmann distribution, using SciPy leastsq. Because
> of the data I'm fitting, I need high precision (on both the high and low
> ends), so I'm using numpy.longdouble for my types. Is there a way to use
> this type with leastsq? As it stands, I'm getting this error:
> v = leastsq(self.chi_squared, self.v_0, args=self.args, full_output=1)
> line 281, in leastsq
> maxfev, epsfcn, factor, diag)
> TypeError: array cannot be safely cast to required type
> I've been using leastsq for a while, and haven't seen this error before, so
> I suspect it has to do with using an unusual type.
Yep. But where is your data coming from? And how are you trying to do the
fit? I suspect that a change of method it the proper way to go here. Josef
may have something in the stats model package.
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