Geoscientific visualization tools for VTK and ParaView
Project description
PVGeo
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The PVGeo Python package contains VTK powered tools for data visualization in geophysics which are wrapped for direct use within the application ParaView by Kitware. These tools are tailored to data visualization in the geosciences with a heavy focus on structured data sets like 2D or 3D time-varying grids.
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Demonstrations of PVGeo
For a quick overview of how PVGeo can be used in a Python environment or directly within ParaView, checkout the code snippets and videos on the About Examples Page
Connections
This package provides many VTK-like algorithms designed for geoscientific data
formats and types to perform data integration and analysis.
To ensure our users have powerful and easy to use tools that can visualize the
results of PVGeo algorithms, we are actively involved in the development of
vista: a toolset for easy access to
VTK data objects and 3D visualization in Python.
To learn more about pairing PVGeo with vista, please check out the
example Jupyter notebooks.
Getting Started
To begin using the PVGeo Python package, create/activate your Python virtual environment (we highly recommend using anaconda) and install PVGeo through pip:
pip install PVGeo
Now PVGeo is ready for use in your standard Python environment (2.7 or >=3.6) with all dependencies installed! Go ahead and test your install:
python -c "import PVGeo; print(PVGeo.__version__)"
Note that Windows users must use Python >=3.6 when outside of ParaView. Further insight can be found in the Getting Started Guide.
Report Issues and Contribute
Please feel free to post features you would like to see from this package on the issues page as a feature request. If you stumble across any bugs or crashes while using code distributed here, report them in the issues section so we can promptly address it. For other questions, join the PVGeo community on Slack.
About the Authors 
The PVGeo code library was created and is managed by Bane Sullivan, graduate student in the Hydrological Science and Engineering interdisciplinary program at the Colorado School of Mines under Whitney Trainor-Guitton. If you would like to contact us, inquire with info@pvgeo.org.
It is important to note the project is open source and that many features in this repository were made possible by contributors volunteering their time. Head over to the Contributors Page to learn more about the developers of PVGeo.
Linking PVGeo to ParaView
To use the PVGeo library as plugins in ParaView, please see the detailed explanation here where you must create a second isolated Python 2.7 environment that will host PVGeo for ParaView.
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