stereonet 0.2.1

StereonetForge: dependency-light stereonet plotter for planes (Dip/DipDir) with 1..N groups

StereonetForge

Author: Dr. Aram Fathian
Affiliation: Department of Earth, Energy, and Environment; Water, Sediment, Hazards, and Earth-surface Dynamics (waterSHED) Lab; University of Calgary
License: MIT

StereonetForge is a dependency-light stereonet plotter for planar geology data (e.g., Dip / Dip Direction).
It works with one or many groups (or no group column), computes mean planes, KDE pole-density rings, and optional intersection lines between mean planes.

How to cite

Fathian, A. (2025). StereonetForge (v0.2.1) [Software]. Zenodo. https://doi.org/10.5281/zenodo.17140123

Install

Option A — from GitHub (recommended until on PyPI)

python -m pip install "git+https://github.com/aramfathian/StereonetForge.git@main"

Option B — from a numbered tag

python -m pip install "git+https://github.com/aramfathian/StereonetForge.git@v0.2.1"
# If you see "did not match any file(s) known to git", use the exact tag listed on the Releases page.

Option C — from the local folder

python -m pip install .

Once published to PyPI, users can do: pip install stereonet-forge

Command Line

# Single group (no group column)
stereonet-plot examples_general/example_one_group.csv --out-prefix ex1

# With group column 'Set'
stereonet-plot examples_general/example_two_groups.csv --group-col Set --out-prefix ex2

# Only Strike + Dip (derive Dip Direction)
stereonet-plot examples_general/example_three_groups_strike.csv --group-col Group --dip-col Dip --out-prefix ex3

# Combined 'Dip/DipDir' column called Dip_DD
stereonet-plot examples_general/example_combined_column.csv --group-col Domain --out-prefix ex4

Options

• --dip-col, --dipdir-col, --group-col (auto-detects if omitted; can parse combined "Dip/DipDir")
• --intersections none|auto|all|A|B,B|C
• --cmap tab10 (colormap per group), --kde-bandwidth 0.09
• --figsize 10.5,10.5, --dpi 170

Library

from stereonet_forge import plot_stereonet_from_csv, Style
fig, ax = plot_stereonet_from_csv("my.csv", group_col="Face", out_prefix="myplot")

Development

• See CONTRIBUTING.md for guidelines.
• Typical build & publish:

python -m pip install --upgrade build twine
python -m build
twine check dist/*
twine upload dist/*