The PVGeo Python package contains VTK powered tools for data visualization in geophysics which are wrapped for direct use with PyVista. 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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For a quick overview of how PVGeo can be used, checkout the code snippets and videos on the About Examples Page
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 PyVista: a toolset for easy access to VTK data objects and 3D visualization in Python. To learn more about pairing PVGeo with PyVista, please check out the example Jupyter notebooks.
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 PVGeoNow PVGeo is ready for use in your standard Python environment (>=3.8) with all dependencies installed! Go ahead and test your install:
python -c "import PVGeo; print(PVGeo.__version__)"Further insight can be found in the Getting Started Guide.
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.
Interested in contributing to PVGeo? Please see the contributing guide
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 [email protected].
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.
There is a paper about PVGeo!
If you are using PVGeo in your scientific research, please help our scientific visibility by citing our work!
Sullivan et al., (2019). PVGeo: an open-source Python package for geoscientific visualization in VTK and ParaView. Journal of Open Source Software, 4(38), 1451, https://doi.org/10.21105/joss.01451
See CITATION.rst for more details.
While PVGeo was previously design to be used as plugins directly in ParaView, we are unable to maintain support for ParaView and recommend using PyVista instead.