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Software . 2021
Data sources: Datacite
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Software . 2021
Data sources: ZENODO
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pyvista/pyvista: Improved Jupyterlab Support

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 May 2021Publisher:Zenodo
Authors: Bane Sullivan; Alex Kaszynski; Guillaume Favelier; Tetsuo Koyama; Jevin Jones; Rodrigo Mologni; Andras Deak; +22 Authors
Code repository: https://github.com/pyvista/pyvista/tree/0.30.0

doi: 10.5281/zenodo.4746358

pyvista/pyvista: Improved Jupyterlab Support

Abstract

This release includes a several new features including better integration with jupyterlab plotting, better documentation, and a variety of fixes. The following is a non-comprehensive list of changes, features, and bug-fixes: New Features Add shadows Add physically based rendering Add jupyter backends Documentation Interactive examples on docs.pyvista.org Use pydata-sphinx-theme Improve pyvista.Camera class documentation. API Changes Refactor inplace so it always returns an object. Bug Fixes Fix Window Closing Fix docstrings Fix floor coloring

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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