pyrolite

name	pyrolite
description	Geochemistry data analysis and visualization for igneous, metamorphic, and sedimentary rocks. Use when Claude needs to: (1) Create ternary diagrams for compositional data, (2) Plot REE spider diagrams with normalization, (3) Build TAS or other classification diagrams, (4) Apply log-ratio transforms to compositional data, (5) Calculate CIPW norms, (6) Generate Harker variation diagrams, (7) Compute element ratios and anomalies.
version	1.0.0
author	Geoscience Skills
license	MIT
tags	["Geochemistry","REE","Spider Diagram","TAS","Compositional Data"]
dependencies	["pyrolite>=0.3.0","pandas","matplotlib"]
complements	[]
workflow_role	visualization

pyrolite - Geochemistry Analysis

Quick Reference

import pandas as pd
import matplotlib.pyplot as plt
from pyrolite.geochem.norm import get_reference_composition

df = pd.read_csv('samples.csv')
df.pyrochem   # Geochemistry methods
df.pyrocomp   # Compositional methods

# Normalize and plot REE
chondrite = get_reference_composition('Chondrite_McDonough1995')
ax = df.pyrochem.normalize_to(chondrite, units='ppm').pyroplot.REE(unity_line=True)

Key Modules

Module	Purpose
pyrolite.plot	Ternary, spider diagrams
pyrolite.geochem.norm	Normalization references
pyrolite.comp	CLR, ALR, ILR transforms
pyrolite.plot.templates	TAS, Pearce diagrams
pyrolite.mineral.normative	CIPW norm

Essential Operations

Ternary Diagram

ax = df[['SiO2', 'CaO', 'Na2O']].pyroplot.scatter(c='k', s=50)

TAS Diagram

from pyrolite.plot.templates import TAS
df['Na2O_K2O'] = df['Na2O'] + df['K2O']
ax = TAS()
ax.scatter(df['SiO2'], df['Na2O_K2O'], c='red', s=50)

REE Pattern

chondrite = get_reference_composition()
ax = df.pyrochem.normalize_to(chondrite, units=).pyroplot.REE(unity_line=)