omfvista 0.2.2

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.

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.

Example Use

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.

import pyvista as pv
import omfvista

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

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:

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:

# 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:

# 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()