Mike:

Outstanding!  Thank you, I appreciate the help.

Regards,
slybro

On Sat, Jan 10, 2009 at 10:08 PM, Mike Hansen <[email protected]> wrote:

>
> Hello,
>
> On Sat, Jan 10, 2009 at 8:29 PM, slybro <[email protected]> wrote:
> >
> > I am having trouble using the polyfit function.  Here are the
> > commands:
> >
> > import numpy as np
> > import scipy as sc
> >
> > vp = np.array([1.0, 5.0, 10.0, 20.0, 40.0, 60.0, 100.0, 200.0, 400.0,
> > 760.0])
> >
> > T = np.array([-36.7, -19.6, -11.5, -2.6, 7.6, 15.4, 26.1, 42.2, 60.6,
> > 80.1])
> >
> > (a,b,c,d) = np.polyfit(vp,T,3)
>
> You must explicitly make the Numpy array's have dtype float as numpy
> does not automatically convert Sage's RealNumber to a float.  If you
> don't do this, the array's dtype will be "object'.
>
> sage: vp = np.array([1.0, 5.0, 10.0, 20.0, 40.0, 60.0, 100.0, 200.0,
> 400.0, 760.0],dtype=float)
> sage: T = np.array([-36.7, -19.6, -11.5, -2.6, 7.6, 15.4, 26.1, 42.2,
> 60.6, 80.1], dtype=float)
> sage: np.polyfit(vp,T,3)
> array([  1.13148994e-06,  -1.49004659e-03,   6.12784745e-01,
>        -2.13934587e+01])
>
> There are other ways to achieve a similar effect such as turning off
> the Sage preparser with "preparser(False)" or making Sage's RealNumber
> an alias of float ("RealNumber = float").
>
> --Mike
>
> >
>

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