pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python

pyEOF is a Python package for EOF and Rotated EOF Analysis . It takes advantage of

• sklearn.decomposition.PCA (for EOF)
• Advanced Priniciple Component Analysis (for varimax rotation // varimax rotated EOF // REOF)

Installation

Step 1: create an environment:

$ conda create -n pyEOF python=3.7
$ conda activate pyEOF
$ conda install -c conda-forge numpy pandas scipy scikit-learn rpy2

Step 2: install using pip:

$ pip install pyEOF

(optional) for jupyter notebook tutorial:

$ conda install -c conda-forge numpy pandas scipy scikit-learn rpy2 xarray matplotlib jupyter eofs pooch netcdf4

(optional) install from source:

$ git clone https://github.com/zzheng93/pyEOF.git
$ cd pyEOF
$ python setup.py install

How to use it?

You may reproduce the jupyter notebook example on Binder.

Please check online documentation for more information.

How to ask for help

The GitHub issue tracker is the primary place for bug reports.