We are pleased to announce Mayavi-4.7.2. Mayavi is a general purpose,
cross-platform Python package for 2-D and 3-D scientific data visualization.
Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic
wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help
visualize your data and works on Jupyter notebooks as well. Mayavi is easy
to extend and embed in your own dialogs and UIs.
For more information see here:
https://docs.enthought.com/mayavi/mayavi/index.html
The significant update for this release is that it is compatible with the
latest VTK-9.x series and is known to work with VTK 9.0.1 from PyPI. The
picker UI has changed to no longer pop up a UI window but instead show the
picked attributes on the render window directly. The original picker UI is now
available on the scene's UI in a separate "Picker" tab. This is accessible
from either the pipeline view when one edits the properties of a scene or
through the "configure scene" gear icon on the scene window toolbar.
For more details see https://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-7-2
36 pull requests were merged.
Thanks to the following who contributed to this release (in alphabetical
order): Amal S Sebastian, Eric Larson, Guillaume Favelier, Hans Moritz
Günther, Magnus Nord, Mark Dickinson, Poruri Sai Rahul, Prabhu Ramachandran,
Scott Talbert, Tetsuo Koyama.
cheers,
Mayavi developers
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