An introduction to the PyLiPD package

This book contains several science-driven examples on how to use the PyLiPD python package, which is dedicated to the loading and manipulation of paleoclimate datasets in the LiPD format.

Contributors

Made with contrib.rocks.

The notebooks are organized in three levels:

• Getting Started: Provides basic tutorials on the various ways to load LiPD datasets and work with a LiPD, including export to Pandas DataFrame.

• Basic Functionalities: These tutorials walk through some of the basic manipulations of LiPD files such as obtaining information about variables, archives, bibliography, location, and working with ensembles. It also highlights some of the pre-defined filtering capabilities.

• Advanced Querying: The strength of PyLiPD is that it unlocks advanced querying capabilities through the SPARQL (pronounced ‘sparkle’) language. However, with great powers comes a learning curve. In this case, you will need to become more familiar with this query language.

Dataset Representation in PyLiPD

• Understanding how datasets are represented in PyLiPD
• Standard, Standards, and More Standards.

Getting Started

• Reading LiPD formatted datasets with PyLiPD
• Basic manipulation of pylipd.LiPD objects

Basic Functionalities

• Working with ensembles in PyLiPD
• Retrieving textual information from LiPD files
• Filtering through queries

Advanced Querying using SPARQL

• Custom queries on LiPD objects
• Directly querying the LiPDGraph

Editing LiPD files

• The Dataset class
• Editing LiPD Files

Acknowledgements

This work was supported by NSF Grant ICER 2126510.