[Matplotlib-users] a quick way to plot 3D surface with point coordination?

[ericyosho <eri...@gm...>]

Hi, All,

I have a bunch of 3D points with coordinations in a dict
pointset = {
(x1,y1):z1,
(x2,y2):z2,
...
}

It seems I have to
1. fire a loop to change each item and convert the whole dictionary into arrays;
x = []
y = []
for i in pointset.items():
    x.append(i[0][0])
    y.append(i[0][1])

2. send x and y ranges to meshgrid
3. loop again to put z values into proper positions
4. use plot_surface()

Is there any quicker ways to do that?

And we know that for points with coordination, scatter must be the
simplest way to visualize them.
Is there any trick to convert a scatter graph into a surface picture directly?

Appreciation for any ideas.


Zhe Yao
--------------
Department of Computer and Electrical Engineering
McGill University
Montreal, QC, Canada
H3A 2A7

zh...@ma...