Thanks Ben. I had tried turning off the shading but that makes it
impossible to see the features of the surface. I ended up combining the
surface values and resampling with scipy.interpolate.griddata so that I
have a single surface.
Derek
On Fri, Dec 6, 2013 at 12:23 PM, Benjamin Root <ben.r...@ou.edu> wrote:
> Shading is a bit complicated in plot_surface(). In your particular case,
> it is simply shading based on the results of calculating the normal vector
> of each facet on the surface. It then normalizes the shading it has to do
> based on what it has to get the full dynamic. This is why your image looks
> the way it does (plus, there might be an issue where the normals for one of
> your pieces is pointed inward instead of outward, probably due to the order
> of the datapoints for the surface).
>
> You can turn off shading altogether by simply passing shade=False as a
> keyword argument to plot_surface().
>
> I hope that helps!
> Ben Root
>
>
>
> On Fri, Dec 6, 2013 at 12:43 PM, Derek Thomas <derekctho...@gmail.com>wrote:
>
>> I have a surface that is defined in four distinct sections. The sections
>> are continuous and at least C^1 smooth at the interface. When I plot this
>> in 3D with matplotlib, each section is shaded differently. Is it possible
>> to make the shading uniform? I have attached a figure. The main goal is
>> to make this look like one continuous surface. Thanks,
>>
>> Derek
>>
>>
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