Thanks, I didn't even notice that extra 0 in there.
On Sep 12, 10:16 am, Marshall Hampton <hampto...@gmail.com> wrote:
> I think John is right that your problem is mainly from giving
> list_plot3d too many points. I assume in your original code that you
> have done "import numpy as np" somewhere. Then your code works fine
> for me if I use "grid=np.arange(-32,32,0.5)" instead of 0.05. With
> the 0.05 differences, you are asking for a surface interpolated
> between 1280^2 = 1638400 points. For visualization purposes this is
> apparently overkill.
>
> -M. Hampton
>
> On Sep 11, 5:43 pm, John H Palmieri <jhpalmier...@gmail.com> wrote:
>
>
>
> > On Sep 11, 11:02 am, Ranjit <rjcha...@gmail.com> wrote:
>
> > > Yeah, the sample code works for me too. I'm not sure I see what's
> > > different about what I'm doing.
>
> > > Here's an example of something that doesn't work for me:
>
> > > var("rho_X rho_Y R")
> > > R=6
> > > rho=sqrt(rho_X^2+rho_Y^2)
> > > EE(rho_X,rho_Y)=exp(-rho/R)
> > > ee=fast_float(EE)
> > > grid=np.arange(-32,32,0.05)
>
> > I don't know what "np.arange" is. I used "srange" instead; is that
> > similar?
>
> > > eeM=[[ee(x,y) for x in grid] for y in grid]
> > > list_plot3d(eeM)
>
> > This didn't work for me, either -- maybe there are too many points for
> > jmol to handle it? When I used
>
> > grid = srange(-32, 32, 0.1)
>
> > it worked, though it is a bit sluggish. It is more responsive the
> > larger I make that last parameter.
>
> > John
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