Geoscientific visualization tools for VTK and ParaView
This repository contains plugins tailored to data visualization in geophysics for the application ParaView by Kitware. These plugins are tailored to data visualization in the geosciences with a heavy focus on structured data sets like 2D or 3D time-varing grids.
Check out the demo page for a synopsis of the project and some visualization examples. Then check out the docs pages to explore the motivation for publishing this repo as well as to find all code documentation. This contains documentation for readers, filters, macros, and more as you need. NOTE: These are currently out of date and will be updated and finished by end of July 2018
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 firstname.lastname@example.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.
Requesting Features, Reporting Issues, and Contributing
Please feel free to post features you would like to see from this repo 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.
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.