Try out in mybinder:

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.

Ipyvolume currenty can

• Do volume rendering.
• Create scatter plots (up to ~1 million glyphs).
• Create quiver plots (like scatter, but with an arrow pointing in a particular direction).
• Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page).
• Render in stereo, for virtual reality with Google Cardboard.
• Animate in d3 style, for instance if the x coordinates or color of a scatter plots changes.
• Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots.
• Stylable (although still basic)
• Integrates with
• ipywidgets for adding gui controls (sliders, button etc), see an example at the documentation homepage
• bokeh by linking the selection
• bqplot by linking the selection

Ipyvolume will probably, but not yet:

• Render labels in latex.
• Do isosurface rendering.
• Do selections using mouse or touch.
• Show a custom popup on hovering over a glyph.

Documentation is generated at readthedocs:

(see more at the documentation)

To install use pip:

$ pip install ipyvolume

To install use pip (as non-admin):

$ pip install ipyvolume --user

Or with anaconda/conda:

$ conda install -c conda-forge ipyvolume

For jupyter lab:

$ jupyter labextension install ipyvolume
$ jupyter labextension install jupyter-threejs

For a development installation (requires npm),

$ git clone https://github.com/maartenbreddels/ipyvolume.git
$ cd ipyvolume
$ pip install -e .
$ jupyter nbextension install --py --symlink --sys-prefix ipyvolume
$ jupyter nbextension enable --py --sys-prefix ipyvolume

For all cases make sure ipywidgets is enabled if you use Jupyter notebook version < 5.3 (using --user instead of --sys-prefix if doing a local install):

$ jupyter nbextension enable --py --sys-prefix widgetsnbextension
$ jupyter nbextension enable --py --sys-prefix pythreejs
$ jupyter nbextension enable --py --sys-prefix ipywebrtc
$ jupyter nbextension enable --py --sys-prefix ipyvolume

After changing the javascript, run npm install from the js directory, or webpack --watch and work from the examples/dev.ipynb notebook.