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        "author": "Bane Sullivan",
        "author_email": "info@pvgeo.org",
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            "License :: OSI Approved :: BSD License",
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        "description": "OMF-VTK\n=======\n\n.. image:: https://img.shields.io/pypi/v/omfvista.svg?logo=python&logoColor=white\n   :target: https://pypi.org/project/omfvista/\n   :alt: PyPI\n\n.. image:: https://img.shields.io/travis/OpenGeoVis/omfvista/master.svg?label=build&logo=travis\n   :target: https://travis-ci.org/OpenGeoVis/omfvista\n   :alt: Build Status Linux\n\n.. image:: https://ci.appveyor.com/api/projects/status/49tewkw60mykh1nb?svg=true\n   :target: https://ci.appveyor.com/project/banesullivan/omfvista\n   :alt: Build Status Windows\n\n.. image:: https://codecov.io/gh/OpenGeoVis/omfvista/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/OpenGeoVis/omfvista\n\n.. image:: https://img.shields.io/github/stars/OpenGeoVis/omfvista.svg?style=social&label=Stars\n   :target: https://github.com/OpenGeoVis/omfvista\n   :alt: GitHub\n\n\nA PyVista (and VTK) interface for the `Open Mining Format package`_ (``omf``)\nproviding Python 3D visualization and useable mesh data structures for\nprocessing datasets in the OMF specification.\n\n\n.. _Open Mining Format package: https://omf.readthedocs.io/en/latest/\n\nDocumentation is hosted at https://opengeovis.github.io/omfvista/\n\nCheck out the `Example Notebook`_ on NBViewer! Or\n`launch the Notebook on MyBinder`_ to run the code yourself!\n\n.. _Example Notebook: https://nbviewer.jupyter.org/github/OpenGeoVis/omfvista/blob/master/Example.ipynb\n.. _launch the Notebook on MyBinder: https://mybinder.org/v2/gh/OpenGeoVis/omfvista/master?filepath=Example.ipynb\n\nInstallation\n------------\n\nInstallation is simply::\n\n    pip install omfvista\n\nAll necessary dependencies will be installed alongside ``omfvista``. Please\nnote that this package heavily leverages the PyVista_ package.\n\n.. _PyVista: https://github.com/pyvista/pyvista\n\n\nQuestions & Support\n-------------------\n\nFor general questions about the project, its applications, or about software\nusage, please create an issue in the `pyvista/pyvista-support`_ repository\nwhere the  PyVista community can collectively address your questions.\nYou are also welcome to join us on join `@OpenGeoVis`_ on our\n`Slack workspace`_ under the ``#omfvista`` channel or send one of the\ndevelopers an email. The project support team can be reached at\n`info@opengeovis.org`_.\n\n.. _pyvista/pyvista-support: https://github.com/pyvista/pyvista-support\n.. _@OpenGeoVis: https://github.com/OpenGeoVis\n.. _Slack workspace: http://slack.opengeovis.org\n.. _info@opengeovis.org: mailto:info@opengeovis.org\n\nExample Use\n-----------\n\n.. image:: https://mybinder.org/badge_logo.svg\n   :target: https://mybinder.org/v2/gh/OpenGeoVis/omfvista/master?filepath=Example.ipynb\n\nBe sure to check out the `Example Notebook`_ that demos ``omfvista`` or our\n`Example Gallery`_ in the documentation!\nHere's an example using the sample data hosted in the `OMF repository`_.\n\n.. _Example Gallery: https://opengeovis.github.io/omfvista/examples/index.html\n.. _OMF repository: https://github.com/gmggroup/omf/tree/master/assets\n\n.. code-block:: python\n\n    import pyvista as pv\n    import omfvista\n\n    project = omfvista.load_project('test_file.omf')\n    project\n\n.. image:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/table-repr.png\n   :alt: Table Representation\n\n\nOnce the data is loaded as a ``pyvista.MultiBlock`` dataset from ``omfvista``, then\nthat object can be directly used for interactive 3D visualization from PyVista_:\n\n.. code-block:: python\n\n    project.plot(notebook=False)\n\nOr an interactive scene can be created and manipulated to create a compelling\nfigure directly in a Jupyter notebook. First, grab the elements from the project:\n\n.. code-block:: python\n\n    # Grab a few elements of interest and plot em up!\n    vol = project['Block Model']\n    assay = project['wolfpass_WP_assay']\n    topo = project['Topography']\n    dacite = project['Dacite']\n\nThen apply a filtering tool from PyVista_ to the volumetric data:\n\n.. code-block:: python\n\n    thresher = pv.Threshold(vol)\n\n.. figure:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/threshold.gif\n   :alt: IPython Thresholding Tool\n\nThen you can put it all in one environment!\n\n.. code-block:: python\n\n    # Grab the active plotting window\n    #  from the thresher tool\n    p = thresher.plotter\n    # Add our datasets\n    p.add_mesh(topo, cmap='gist_earth', opacity=0.5)\n    p.add_mesh(assay, color='blue', line_width=3)\n    p.add_mesh(dacite, color='yellow', opacity=0.6)\n    # Add the bounds axis\n    p.show_bounds()\n\n\n.. figure:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/interactive.gif\n   :alt: Interactive Rendering\n\n\nAnd once you like what the render view displays, you can save a screenshot:\n\n.. code-block:: python\n\n    p.screenshot('wolfpass.png')\n\n.. image:: https://github.com/OpenGeoVis/omfvista/raw/master/wolfpass.png\n   :alt: Wolf Pass Screenshot",
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