Overview ======== .. raw:: html 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 -------------- .. code-block:: python3 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 ----------------- .. raw:: html