[SciPy-User] Finding Derivatives of a 2D Interpolation Using RectBivariateSpline.__call__

[Delaram Ghoreishi]

Hello Evgeni,

I tried what you told me to do (copy and pasted your code basically) but I
got this error:
 __call__() got an unexpected keyword argument 'grid'
I have no idea what's wrong here. I appreciate your help a lot.

On Sun, Nov 22, 2015 at 6:18 PM, Evgeni Burovski <evgeny.burovskiy at gmail.com
> wrote:

> In [20]: x = np.arange(8)
>
> In [21]: y = np.arange(8)
>
> In [22]: z = x[:, None] + y[None, :]
>
> In [23]: spl = RectBivariateSpline(x, y, z)
>
> In [24]: spl(x, y, grid=False, dx=1)       # Notice the dx argument.
> Out[24]: array([ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.])
>
> HTH,
>
> Evgeni
>
>
> On Sun, Nov 22, 2015 at 9:21 PM, Delaram Ghoreishi <delaramq at gmail.com>
> wrote:
> > Hi. I need to find partial derivatives of 2d interpolation using
> > RectBivariateSpline.__call__ from scipy. This is the code that I have so
> > far:
> >
> > import numpy as np
> > from scipy import interpolate
> > xm = np.arange(-180.,182.,2)  #rank-1 array length 181
> > ym = np.arange(-180.,182.,2)  #rank-1 array length 181
> > zm = np.loadtxt('data.dat', dtype = np.double) #rank-2 array length
> > (181x181)
> > V = interpolate.RectBivariateSpline(xm, ym, zm, s=0)
> >
> > this code works fine when I need to know the value of the interpolated
> > function at a given point, now how should I proceed from here to also
> find
> > the derivatives at any specific point.
> >
> > Thanks a lot for the help.
> >
> >
> > --
> > Delaram Ghoreishi
> > Ph.D. Student
> > Department of Physics
> > University of Florida
> > P.O. Box 118440
> > Gainesville, Florida 32611
> >
> > _______________________________________________
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> > SciPy-User at scipy.org
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> >
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-- 
Delaram Ghoreishi
Ph.D. Student
Department of Physics
University of Florida
P.O. Box 118440
Gainesville, Florida 32611
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