Trisurface ¶
- Title
- Trisurface Element
- Dependencies
- Matplotlib
- Backends
- Matplotlib
import numpy as np
import holoviews as hv
hv.extension('matplotlib')
The
Trisurface
Element renders any collection of 3D points as a surface by applying
Delaunay triangulation
. It is therefore useful for plotting an arbitrary collection of datapoints as a 3D surface. Like other 3D elements it supports
azimuth
,
elevation
and
distance
plot options to control the camera position:
%%opts Trisurface [azimuth=30 elevation=30 fig_size=200]
y,x = np.mgrid[-5:5, -5:5] * 0.1
heights = np.sin(x**2+y**2)
hv.Trisurface((x.flat,y.flat,heights.flat))
Like all other colormapped plots we can easily add a
colorbar
and control the
cmap
of the plot:
%%opts Trisurface [fig_size=200 colorbar=True] (cmap='fire')
u=np.linspace(0,2*np.pi, 24)
v=np.linspace(-1,1, 8)
u,v=np.meshgrid(u,v)
u=u.flatten()
v=v.flatten()
#evaluate the parameterization at the flattened u and v
tp=1+0.5*v*np.cos(u/2.)
x=tp*np.cos(u)
y=tp*np.sin(u)
z=0.5*v*np.sin(u/2.)
surface = hv.Trisurface((x, y, z), label='Moebius band')
surface
Download this notebook from GitHub (right-click to download).