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Description:

pyvista 0.44.1

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

PyVista is:

Pythonic VTK: a high-level API to the Visualization Toolkit (VTK)
mesh data structures and filtering methods for spatial datasets
3D plotting made simple and built for large/complex data geometries

PyVista is a helper module for the Visualization Toolkit (VTK) that wraps the VTK library
through NumPy and direct array access through a variety of methods and classes.
This package provides a Pythonic, well-documented interface exposing
VTK’s powerful visualization backend to facilitate rapid prototyping, analysis,
and visual integration of spatially referenced datasets.
This module can be used for scientific plotting for presentations and research
papers as well as a supporting module for other mesh 3D rendering dependent
Python modules; see Connections for a list of projects that leverage
PyVista.
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PyVista is a NumFOCUS affiliated project

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Highlights
Head over to the Quick Examples page in the docs to explore our gallery of
examples showcasing what PyVista can do. Want to test-drive PyVista?
All of the examples from the gallery are live on MyBinder for you to test
drive without installing anything locally:

Overview of Features

Extensive gallery of examples (see Quick Examples)
Interactive plotting in Jupyter Notebooks with server-side and client-side
rendering with trame.
Filtering/plotting tools built for interactivity (see Widgets)
Direct access to mesh analysis and transformation routines (see Filters)
Intuitive plotting routines with matplotlib similar syntax (see Plotting)
Import meshes from many common formats (use pyvista.read()). Support for all formats handled by meshio is built-in.
Export meshes as VTK, STL, OBJ, or PLY (mesh.save()) file types or any formats supported by meshio (pyvista.save_meshio())

Documentation
Refer to the documentation for detailed
installation and usage details.
For general questions about the project, its applications, or about software
usage, please create a discussion in pyvista/discussions
where the community can collectively address your questions. You are also
welcome to join us on Slack.

Installation
PyVista can be installed from PyPI
using pip on Python >= 3.8:
pip install pyvista
You can also visit PyPI,
Anaconda, or
GitHub to download the source.
See the Installation
for more details regarding optional dependencies or if the installation through pip doesn’t work out.

Connections
PyVista is a powerful tool that researchers can harness to create compelling,
integrated visualizations of large datasets in an intuitive, Pythonic manner.
Learn more about how PyVista is used across science and engineering disciplines
by a diverse community of users on our Connections page.

Authors
Please take a look at the contributors page and the active list of authors
to learn more about the developers of PyVista.

Made with contrib rocks.

Contributing

We absolutely welcome contributions and we hope that our Contributing Guide
will facilitate your ability to make PyVista better. PyVista is mostly
maintained on a volunteer basis and thus we need to foster a community that can
support user questions and develop new features to make this software a useful
tool for all users while encouraging every member of the community to share
their ideas. To learn more about contributing to PyVista, please see the
Contributing Guide and our Code of Conduct.

Citing PyVista
There is a paper about PyVista.
If you are using PyVista in your scientific research, please help our scientific
visibility by citing our work.

Sullivan and Kaszynski, (2019). PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK). Journal of Open Source Software, 4(37), 1450, https://doi.org/10.21105/joss.01450

BibTex:
@article{sullivan2019pyvista,
doi = {10.21105/joss.01450},
url = {https://doi.org/10.21105/joss.01450},
year = {2019},
month = {May},
publisher = {The Open Journal},
volume = {4},
number = {37},
pages = {1450},
author = {Bane Sullivan and Alexander Kaszynski},
title = {{PyVista}: {3D} plotting and mesh analysis through a streamlined interface for the {Visualization Toolkit} ({VTK})},
journal = {Journal of Open Source Software}
}

Professional Support
While PyVista is an Open Source project with a big community, you might be looking for professional support.
This section aims to list companies with VTK/PyVista expertise who can help you with your software project.

Company Name
Kitware Inc.

Description
Kitware is dedicated to build solutions
for our customers based on our
well-established open source platforms.

Expertise
CMake, VTK, PyVista, ParaView, Trame

Contact
https://www.kitware.com/contact/