pyvista / Pyvista
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####### PyVista #######
.. image:: https://github.com/pyvista/pyvista/raw/master/docs/_static/pyvista_banner_small.png :target: https://docs.pyvista.org/examples/index.html :alt: pyvista
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.. |azure| image:: https://dev.azure.com/pyvista/PyVista/_apis/build/status/pyvista.pyvista?branchName=master :target: https://dev.azure.com/pyvista/PyVista/_build/latest?definitionId=3&branchName=master
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+----------------------+------------------------+ | Deployment | |pypi| |conda| | +----------------------+------------------------+ | Build Status | |azure| | +----------------------+------------------------+ | Metrics | |codacy| |codecov| | +----------------------+------------------------+ | Citation | |joss| |zenodo| | +----------------------+------------------------+ | License | |MIT| | +----------------------+------------------------+ | Community | |slack| |gitter| | +----------------------+------------------------+
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
PyVista is...
-
"VTK for humans": 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
.. _Visualization Toolkit: https://vtk.org
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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Highlights
.. |binder| image:: https://static.mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/pyvista/pyvista-examples/master :alt: Launch on Binder
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: |binder|
.. _Quick Examples: http://docs.pyvista.org/examples/index.html
Overview of Features
- Extensive gallery of examples (see
Quick Examples
_) - Interactive plotting in Jupyter Notebooks (server-side rendering with
ipyvtk_simple
_) - 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 bymeshio
_ is built-in! - Export meshes as VTK, STL, OBJ, or PLY (
mesh.save()
) file types or any formats supported by meshio_ (pyvista.save_meshio()
)
.. _ipyvtk_simple: https://github.com/Kitware/ipyvtk-simple .. _Widgets: https://docs.pyvista.org/plotting/widgets.html .. _Filters: https://docs.pyvista.org/core/filters.html .. _Plotting: https://docs.pyvista.org/plotting/index.html .. _meshio: https://github.com/nschloe/meshio
Documentation
Refer to the documentation <http://docs.pyvista.org/>
_ for detailed
installation and usage details.
For general questions about the project, its applications, or about software
usage, please create an issue in the pyvista/pyvista-support
_ repository
where the community can collectively address your questions. You are also
welcome to join us on Slack_ or send one of the developers an email.
The project support team can be reached at [email protected]
_.
.. _pyvista/pyvista-support: https://github.com/pyvista/pyvista-support .. _Slack: http://slack.pyvista.org .. [email protected]: mailto:[email protected]
Installation
PyVista can be installed from PyPI <https://pypi.org/project/pyvista/>
_
using pip
on Python >= 3.6::
pip install pyvista
You can also visit PyPi <https://pypi.org/project/pyvista/>
,
Anaconda <https://anaconda.org/conda-forge/pyvista>
, or
GitHub <https://github.com/pyvista/pyvista>
_ to download the source.
See the Installation <http://docs.pyvista.org/getting-started/installation.html#install-ref.>
_
for more details 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. Here are a few open-source projects that leverage PyVista:
- itkwidgets_: Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D. Supports all PyVista mesh types.
- pyansys_: Pythonic interface to ANSYS result, full, and archive files
- PVGeo_: Python package of VTK-based algorithms to analyze geoscientific data and models. PyVista is used to make the inputs and outputs of PVGeo's algorithms more accessible.
- omfvista_: 3D visualization for the Open Mining Format (omf). PyVista provides the foundation for this library's visualization.
- discretize_: Discretization tools for finite volume and inverse problems.
discretize
providestoVTK
methods that return PyVista versions of their data types forcreating compelling visualizations
_. - pymeshfix_: Python/Cython wrapper of Marco Attene's wonderful, award-winning MeshFix software.
- tetgen_: Python Interface to Hang Si's C++ TetGen Library
.. _itkwidgets: https://github.com/InsightSoftwareConsortium/itkwidgets .. _pyansys: https://github.com/akaszynski/pyansys .. _PVGeo: https://github.com/OpenGeoVis/PVGeo .. _omfvista: https://github.com/OpenGeoVis/omfvista .. _discretize: https://discretize.simpeg.xyz/en/master/ .. _creating compelling visualizations: https://discretize.simpeg.xyz/en/master/api/generated/discretize.mixins.vtk_mod.InterfaceVTK.html .. _pymeshfix: https://github.com/pyvista/pymeshfix .. _MeshFix: https://github.com/MarcoAttene/MeshFix-V2.1 .. _tetgen: https://github.com/pyvista/tetgen
Authors
Please take a look at the contributors page
_ and the active list of authors
_
to learn more about the developers of PyVista.
.. _contributors page: https://github.com/pyvista/pyvista/graphs/contributors/ .. _list of authors: http://docs.pyvista.org/authors
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 commutinity to share
their ideas. To learn more about contributing to PyVista, please see the
Contributing Guide
_ and our Code of Conduct
_.
.. _Contributing Guide: https://github.com/pyvista/pyvista/blob/master/CONTRIBUTING.md .. _Code of Conduct: https://github.com/pyvista/pyvista/blob/master/CODE_OF_CONDUCT.md
Citing PyVista
There is a paper about PyVista <https://doi.org/10.21105/joss.01450>
_!
If you are using PyVista in your scientific research, please help our scientific visibility by citing our work!
Sullivan et al., (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:
.. code::
@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 = {C. 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}
}