ondrolexa / petropandas

Pandas accessors for petrologists

petropandas

Pandas accessors for petrologists

• Github repository: https://github.com/ondrolexa/petropandas/
• Documentation https://ondrolexa.github.io/petropandas/

Getting started

First, import the petropandas. Note that numpy, matplotlib.pyplot, pandas and seaborn are also imported using common aliases np, plt, pd and sns:

from petropandas import *

You are now ready to use petropandas tools.

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')

GitHub actions

The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

Documentation

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

• Create an API Token on Pypi.
• Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
• Create a new release on Github.
• Create a new tag in the form *.*.*.

For more details, see here.

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Repository initiated with fpgmaas/cookiecutter-poetry.