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
(optional) install from source:
$ git clone https://github.com/zzheng93/pyEOF.git $ cd pyEOF $ python setup.py install
1 maintainer
Release files for pyEOF 0.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pyEOF-0.0.0.tar.gz | 9.1 kB | Details |
Release files / pyEOF-0.0.0.tar.gz
| Download URL | pyEOF-0.0.0.tar.gz |
|---|---|
| Size | 9.1 kB |
| Tags | Source |
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