Abstract

Pyleoclim is a Python package primarily geared towards the analysis and visualization of paleoclimate data. Such data often come in the form of timeseries with missing values and age uncertainties, so the package includes several low-level methods to deal with these issues, as well as high-level methods that re-use those within scientific workflows. High-level modules assume that data are stored in the Linked Paleo Data (LiPD) format and makes extensive use of the LiPD utilities. Low-level modules are primarily based on NumPy arrays or Pandas dataframes, so Pyleoclim contains a lot of timeseries analysis code (eg spectral analysis, singular spectrum analysis, wavelet analysis, correlation analysis) that can apply to these more common types as well.

Date

March 15, 2026

Authors

Deborah Khider, Feng Zhu, Julien Emile-Geay

Journal

Zenodo