Trisurf3d demo ¶

Triangular 3D surfaces ¶

URL: http://matplotlib.org/examples/mplot3d/trisurf3d_demo.html

Most examples work across multiple plotting backends, this example is also available for:

Matplotlib - Triangular 3D surfaces

HoloViews ¶

In [1]:

import numpy as np
import holoviews as hv
hv.extension('plotly')

The plotly backend is experimental, and is not supported at this time. If you would like to volunteer to help maintain this backend by adding documentation, responding to user issues, keeping the backend up to date as other code changes, or by adding support for other elements, please email holoviews@gmail.com

Define data ¶

In [2]:

n_radii = 8
n_angles = 36

# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)

# Repeat all angles for each radius.
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)

# Convert polar (radii, angles) coords to cartesian (x, y) coords.
# (0, 0) is manually added at this stage,  so there will be no duplicate
# points in the (x, y) plane.
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())

# Compute z to make the pringle surface.
z = np.sin(-x*y)

trisurface = hv.Trisurface((x, y, z))

Plot ¶

In [3]:

%%output size=150
trisurface

Out[3]:

Drawing...

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