K3D-jupyter Documentation#

K3D-jupyter is a Jupyter Notebook 3D visualization package.

The primary aim of K3D-jupyter is to be an easy 3D visualization tool, designed with native interoperation with existing powerful libraries such as PyVista, without being strictly dependent on them.

K3D-jupyter plots ipywidgets assuring a perfect interaction of a browser-side widget with Python kernel by a proven and standardized protocol.

Brief Examples#

import k3d
import numpy as np
from k3d import matplotlib_color_maps

data = np.load('streamlines_data.npz')
plot = k3d.plot()
plot += k3d.line(data['lines'], width=0.00007, color_range=[0, 0.5], shader='mesh',
                 attribute=data['v'], color_map=matplotlib_color_maps.Inferno)

plot += k3d.mesh(data['vertices'], data['indices'],
                 opacity=0.25, wireframe=True, color=0x0002)
plot.display()

Advanced Examples#

_images/points_cloud.gif _images/streamlines.gif _images/vr.gif _images/tf_edit.gif

Offscreen rendering#

Click to open YouTube video.

https://i3.ytimg.com/vi/zCeQ_ZXy_Ps/maxresdefault.jpg https://i3.ytimg.com/vi/9evYSq3ieVs/maxresdefault.jpg https://i3.ytimg.com/vi/DbCiauTuJrU/maxresdefault.jpg https://i3.ytimg.com/vi/wIbBpUlB5vc/maxresdefault.jpg