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( Software (L) )

Python Package for the Analysis of Paleoclimate Data

Current version : 0.2.3

What is it?

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, and the package includes several low-level methods to deal with these issues, as well as high-level methods that re-use those to perform scientific workflows.

The package assumes that data are stored in the Linked Paleo Data (LiPD) format and makes extensive use of the LiPD utilities. The package is aware of age ensembles stored via LiPD and uses them for time-uncertain analyses very much like GeoChronR.

Current Capabilities

  • binning
  • interpolation
  • plotting maps, timeseries, and basic age model information
  • paleo-aware correlation analysis (isopersistent, isospectral and classical t-test)

Future Capabiltities

  • paleo-aware singular spectrum analysis (AR(1) null eigenvalue identification, missing data)
  • spectral analysis (Multi-Taper Method, Lomb-Scargle)
  • weighted wavelet Z transform (WWZ)
  • cross-wavelet analysis
  • index reconstruction
  • climate reconstruction
  • ensemble methods for most of the above

If you have specific requests, please contact us.

Version Information

Versioning System

The Pyleoclim versioning system follows the x.y.z nomeclature where x represents major package update (version 1.0.0 will correspond to the package where most of the capabitlites listed above are included), y represents a package update offering new functionalities, and z represents changes due to reported bugs or to maintain compatibilities with the dependecies.

Previous versions

  • 0.2.3: Freeze LiPD version to 1.2 to avoid conflicts with 1.3
  • 0.2.2: Change progressbar to tqdm and add standardization function
  • 0.2.1: Update package requirements
  • 0.2.0: Restructure the package so that the main functions can be called without the use of a LiPD files and associated timeseries objects.
  • 0.1.4: Rename function using camel case and consistency with LiPD utilities version
  • 0.1.3: Compatible with LiPD utilities version Function openLiPD() renamed openLiPDs()
  • 0.1.2: Compatible with LiPD utilities version Uses basemap instead of cartopy
  • 0.1.1: Freezes the package prior to version of LiPD utilities
  • 0.1.0: First release


Python v3.5 is required. Not fully compatible with Python v3.6

Pyleoclim is published through PyPi and easily installed via `pip`

 pip install pyleoclim 

QuickStart Guide

  1. Open your command line application (Terminal or Command Prompt).
  2. Install with command: `pip install pyleoclim`.
  3. Wait for installation to complete, then:
    1. Import the package into your favorite Python environment (we recommend the use of Spyder, which comes standard with the Anaconda package)
    2. Use Jupyter Notebook to go through the tutorial contained in the `PyleoclimQuickstart.ipynb` Notebook, which can be downloaded here.
  4. Help with functionalities can be found in the Documentation folder on our GitHub repositoryand on Pypi.


  • LiPD >=, <=
  • pandas v0.19+
  • numpy v1.12+
  • matplotlib v2.0+
  • Basemap v1.0.7+
  • scipy >=0.19.0
  • statsmodel>=0.8.0
  • seaborn>=0.7.0
  • scikit-learn>=0.17.1
  • tqdm>=4.14.0

The installer will automatically check for the needed updates

Note: Some of the Pyleoclim dependencies are not supported on Windows

Further Information


Python and Anaconda:

Jupyter Notebook:


Please report issues to


The project is licensed under the GNU Public License.


This material is based upon work supported by the National Science Foundation under Grant Number ICER-1541029. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the investigators and do not necessarily reflect the views of the National Science Foundation.