Geoscientific visualization tools for VTK and ParaView
Project description
PVGeo
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.
Check out the demo page for a synopsis of the project and some visualization examples. Then check out the website to explore the technical aspects of the project and to find use examples.
Requesting Features, Reporting Issues, and Contributing
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, please report it in the issues section so we can promptly address it. For other questions please join the PVGeo community on Slack.
About the Authors
The PVGeo code library 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, please 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. Please take a look at the Contributors Page to learn more about the developers of PVGeo.
Getting Started
To begin using the PVGeo python package, create a new virtual environment and install PVGeo through pip.
$ conda create -n PVGeoEnv python=2.7
# Install VTK through conda as this is OS-independent
$ conda install -n PVGeoEnv vtk
$ source activate PVGeoEnv
(PVGeoEnv) $ pip install PVGeo
# Test the install on non-Windows OS
(PVGeoEnv) $ python -m PVGeo test
Now PVGeo is ready for use in your standard python environment. To use the PVGeo library as plugins in ParaView, please see the detailed explanation here.
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