index.rst

Overview

.grid-container { display: flex; column-gap: 20px; row-gap: 20px; flex-flow: row wrap; } .grid-container a { flex: 1 0 40%; max-width: 50%; max-height: 50%; border: 3px solid #343a40; } .grid-container2 img { width: 48%; vertical-align: bottom; }

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()

.. k3d_plot ::
  :filename: plot.py

Advanced Examples

Offscreen rendering

Click to open YouTube video.

.. toctree::
    :maxdepth: 1
    :hidden:

    User Guide <user/index>
    API reference <reference/index>
    Gallery <gallery/index>