Metadata-Version: 2.1
Name: omfvista
Version: 0.2.5
Summary: 3D visualization for the Open Mining Format (omf)
Home-page: https://github.com/OpenGeoVis/omfvista
Author: Bane Sullivan
Author-email: info@pvgeo.org
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Description-Content-Type: text/x-rst
Requires-Dist: omf (>=1.0.0)
Requires-Dist: vectormath (>=0.2.2)
Requires-Dist: pyvista (>=0.20.1)
Requires-Dist: numpy
Requires-Dist: matplotlib

Open Mining Format: PyVista (VTK) Interface
===========================================

.. image:: https://img.shields.io/pypi/v/omfvista.svg?logo=python&logoColor=white
   :target: https://pypi.org/project/omfvista/
   :alt: PyPI

.. image:: https://codecov.io/gh/OpenGeoVis/omfvista/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/OpenGeoVis/omfvista

.. image:: https://img.shields.io/github/stars/OpenGeoVis/omfvista.svg?style=social&label=Stars
   :target: https://github.com/OpenGeoVis/omfvista
   :alt: GitHub


A PyVista (and VTK) interface for the `Open Mining Format package`_ (``omf``)
providing Python 3D visualization and useable mesh data structures for
processing datasets in the OMF specification.


.. _Open Mining Format package: https://omf.readthedocs.io/en/latest/

Documentation is hosted at https://opengeovis.github.io/omfvista/

Check out the `Example Notebook`_ on NBViewer! Or
`launch the Notebook on MyBinder`_ to run the code yourself!

.. _Example Notebook: https://nbviewer.jupyter.org/github/OpenGeoVis/omfvista/blob/master/Example.ipynb
.. _launch the Notebook on MyBinder: https://mybinder.org/v2/gh/OpenGeoVis/omfvista/master?filepath=Example.ipynb

.. image:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/scene.png
   :alt: Integrated Scene

Installation
------------

Installation is simply::

    pip install omfvista

All necessary dependencies will be installed alongside ``omfvista``. Please
note that this package heavily leverages the PyVista_ package.

.. _PyVista: https://github.com/pyvista/pyvista


Questions & Support
-------------------

For general questions about the project, its applications, or about software
usage, please create an issue in the `pyvista/pyvista-support`_ repository
where the  PyVista community can collectively address your questions.
You are also welcome to join us on join `@OpenGeoVis`_ on our
`Slack workspace`_ under the ``#omfvista`` channel or send one of the
developers an email. The project support team can be reached at
`info@opengeovis.org`_.

.. _pyvista/pyvista-support: https://github.com/pyvista/pyvista-support
.. _@OpenGeoVis: https://github.com/OpenGeoVis
.. _Slack workspace: http://slack.opengeovis.org
.. _info@opengeovis.org: mailto:info@opengeovis.org

Example Use
-----------

.. image:: https://mybinder.org/badge_logo.svg
   :target: https://mybinder.org/v2/gh/OpenGeoVis/omfvista/master?filepath=Example.ipynb

Be sure to check out the `Example Notebook`_ that demos ``omfvista`` or our
`Example Gallery`_ in the documentation!
Here's an example using the sample data hosted in the `OMF repository`_.

.. _Example Gallery: https://opengeovis.github.io/omfvista/examples/index.html
.. _OMF repository: https://github.com/gmggroup/omf/tree/master/assets

.. code-block:: python

    import pyvista as pv
    import omfvista

    project = omfvista.load_project('test_file.omf')
    project

.. image:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/table-repr.png
   :alt: Table Representation


Once the data is loaded as a ``pyvista.MultiBlock`` dataset from ``omfvista``, then
that object can be directly used for interactive 3D visualization from PyVista_:

.. code-block:: python

    project.plot(multi_colors=True)

An interactive scene can be created and manipulated to create a compelling
figure. First, grab the elements from the project:

.. code-block:: python

    # Grab a few elements of interest and plot em up!
    vol = project['Block Model']
    assay = project['wolfpass_WP_assay']
    topo = project['Topography']
    dacite = project['Dacite']

Then create a 3D scene with these spatial data and apply a filtering tool from
PyVista_ to the volumetric data:

.. code-block:: python

    # Create a plotting window
    p = pv.Plotter(notebook=False)
    # Add our datasets
    p.add_mesh(topo, cmap='gist_earth', opacity=0.5)
    p.add_mesh(assay, color='blue', line_width=3)
    p.add_mesh(dacite, color='yellow', opacity=0.6)
    # Add the volumetric dataset with a thresholding tool
    p.add_mesh_threshold(vol)
    # Add the bounds axis
    p.show_bounds()
    # Redner the scene in a pop out window
    p.show()


.. figure:: https://github.com/OpenGeoVis/omfvista/raw/master/assets/interactive.gif
   :alt: Interactive Rendering


