petropandas

Pandas accessors for petrologists

Installation

pip install petropandas

Optional extras

Extra	Includes	Description
`database`	`requests`	Client for the remote petrodb REST API (`petropandas.database`)
`extra`	`jupyterlab`	JupyterLab support
`tests`	`pytest`, `nbval`	Run the test suite
`docs`	`mkdocs`, ...	Build documentation locally
`dev`	all of the above	Development setup

pip install petropandas[database]      # basic + database client
pip install petropandas[dev]           # full development setup

Getting started

petropandas provides several pandas.DataFrame accessors to seemlesly integrate common petrological calculations to your Python data analysis workflow.

from petropandas import pd, mindb

For more details check the documentation.

df = pd.read_excel("some/folder/data.xlsx")
df.oxides.molprop()
df.oxides.cations(noxy=12)

df.ree.normalize(reservoir='CI Chondrites', reference='McDonough & Sun 1995')

Database client (optional)

The petropandas.database module provides a client for a remote petrodb REST API. Install the extra and use it alongside the accessors:

pip install petropandas[database]

from petropandas.database import PetroDB

db = PetroDB('http://127.0.0.1:8000', 'user', 'password')
project = db.projects(name="MyProject")
sample = project.samples(name="DB250")
df = sample.spots.df(mineral="Grt")

License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3

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