mplstereonet

Yes, you can calculate mean orientation for bedding planes, joints, and fold axes directly within your stereonet plots. This functionality supports structural geology workflows for analyzing and comparing orientation datasets.

Yes, you can create publication-ready stereonet plots using matplotlib. The Skill generates equal-area stereonets visualizing structural geology orientation data, saving the resulting figures for bedding analysis, joint-set studies, and fold-axis interpretation.

To create a stereonet from strike and dip data, you need to load your orientation dataset using pandas and numpy, then pass the values to the plotting functions. The Skill uses mplstereonet and matplotlib to visualize the planes and save the resulting figure.

To visualize fold axes and bedding planes, you plot the orientation data as poles, planes, and lineations on an equal-area stereonet. This method provides clear fold-axis interpretation and bedding analysis for structural geology datasets.

The Skill is applicable in structural geology workflows for analyzing orientation datasets, comparing datasets, and producing publication-ready figures. It requires mplstereonet and matplotlib to plot poles, planes, lineations, density contours, and mean orientations.