Metadata-Version: 2.1
Name: pyvista
Version: 0.20.2
Summary: Easier Pythonic interface to VTK
Home-page: https://github.com/pyvista/pyvista
Author: PyVista Developers
Author-email: info@pyvista.org
License: MIT
Description: #######
        PyVista
        #######
        
        **🚨🚨 PyVista was formerly vtki 🚨🚨 We recently had to change the name of this
        software and we apologize for any confusion this may be causing**
        
        .. image:: https://github.com/pyvista/pyvista/raw/master/docs/_static/pyvista_logo.png
            :alt: pyvista
        
        
        .. |zenodo| image:: https://zenodo.org/badge/92974124.svg
           :target: https://zenodo.org/badge/latestdoi/92974124
        
        .. |joss| image:: http://joss.theoj.org/papers/78f2901bbdfbd2a6070ec41e8282d978/status.svg
           :target: http://joss.theoj.org/papers/78f2901bbdfbd2a6070ec41e8282d978
        
        .. |pypi| image:: https://img.shields.io/pypi/v/pyvista.svg?logo=python&logoColor=white
           :target: https://pypi.org/project/pyvista/
        
        .. |conda| image:: https://img.shields.io/conda/vn/conda-forge/pyvista.svg
           :target: https://anaconda.org/conda-forge/pyvista
        
        .. |travis| image:: https://img.shields.io/travis/pyvista/pyvista/master.svg?label=build&logo=travis
           :target: https://travis-ci.org/pyvista/pyvista
        
        .. |appveyor| image:: https://img.shields.io/appveyor/ci/banesullivan/pyvista.svg?label=AppVeyor&style=flat&logo=appveyor
           :target: https://ci.appveyor.com/project/banesullivan/pyvista/history
        
        .. |codecov| image:: https://codecov.io/gh/pyvista/pyvista/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/pyvista/pyvista
        
        .. |codacy| image:: https://api.codacy.com/project/badge/Grade/e927f0afec7e4b51aeb7785847d0fd47
           :target: https://www.codacy.com/app/banesullivan/pyvista?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=akaszynski/pyvista&amp;utm_campaign=Badge_Grade
        
        
        +----------------------+------------------------+
        | Deployment           | |pypi| |conda|         |
        +----------------------+------------------------+
        | Build Status         | |travis| |appveyor|    |
        +----------------------+------------------------+
        | Metrics              | |codacy| |codecov|     |
        +----------------------+------------------------+
        | Citation             | |joss| |zenodo|        |
        +----------------------+------------------------+
        
        
        PyVista is a helper module for the Visualization Toolkit (VTK) that takes a
        different approach on interfacing with VTK through NumPy and direct array
        access. 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 dependent Python modules.
        
        
        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 join us on Slack_ or send one of the developers an email.
        The project support team can be reached at `info@pyvista.org`_.
        
        .. _pyvista/pyvista-support: https://github.com/pyvista/pyvista-support
        .. _Slack: http://slack.opengeovis.org
        .. _info@pyvista.org: mailto:info@pyvista.org
        
        
        Installation
        ============
        
        PyVista can be installed from `PyPI <http://pypi.python.org/pypi/pyvista>`_
        using ``pip`` on Python >= 3.5::
        
            pip install pyvista
        
        You can also visit `PyPi <http://pypi.python.org/pypi/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.
        
        
        Highlights
        ==========
        
        Head over to the `Quick Examples`_ page in the docs to learn more about using
        PyVista.
        
        .. _Quick Examples: http://docs.pyvista.org/examples/index.html
        
        Want to test-drive PyVista? Check out our live examples on MyBinder:
        
        .. image:: https://mybinder.org/badge_logo.svg
           :target: https://mybinder.org/v2/gh/pyvista/pyvista-examples/master
           :alt: Launch on Binder
        
        
        * Pythonic interface to VTK's Python-C++ bindings
        * Filtering/plotting tools built for interactivity in Jupyter notebooks (see `IPython Tools`_)
        * Direct access to common VTK filters (see Filters_)
        * Intuitive plotting routines with ``matplotlib`` similar syntax (see Plotting_)
        
        
        .. _IPython Tools: http://docs.pyvista.org/tools/ipy_tools.html
        .. _Filters: http://docs.pyvista.org/tools/filters.html
        .. _Plotting: http://docs.pyvista.org/tools/plotting.html
        
        
        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:
        
        * 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`` provides ``toVTK`` methods that return PyVista versions of their data types for `creating 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
        
        
        .. _pymeshfix: https://github.com/akaszynski/pymeshfix
        .. _pyansys: https://github.com/akaszynski/pyansys
        .. _PVGeo: https://github.com/OpenGeoVis/PVGeo
        .. _omfvista: https://github.com/OpenGeoVis/omfvista
        .. _discretize: http://discretize.simpeg.xyz/en/master/
        .. _creating compelling visualizations: http://discretize.simpeg.xyz/en/master/content/mixins.html#module-discretize.mixins.vtkModule
        .. _pymeshfix: https://github.com/akaszynski/pymeshfix
        .. _MeshFix: https://github.com/MarcoAttene/MeshFix-V2.1
        .. _tetgen: https://github.com/akaszynski/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 this guide will facilitate
        an understanding of the PyVista code repository. It is important to note that
        the  PyVista software package is 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. To learn more about
        contributing to PyVista, please see the `Contributing Guide`_.
        
        .. _Contributing Guide: http://docs.pyvista.org/dev/contributing.html
        
Keywords: vtk numpy plotting mesh
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*
Provides-Extra: ipy_tools
