Sunday, October 25, 2026 4,350 lists 78,100 records on file
List your app or device

  1. Home
  2. Statistical Analysis Software
  3. eofs

eofs

On the record

Analysis outputs
Solver methods return EOFs, principal component time series, eigenvalues, variance fractions, and reconstructed fields, among other quantities.ajdawson.github.io · read 8 Oct 2026
Bayesian analysis
Noajdawson.github.io · read 24 Sep 2026
Citation
The project asks users of eofs in published research to cite its peer-reviewed paper and optionally a version-specific Zenodo DOI.ajdawson.github.io · read 8 Oct 2026
Data import formats
NetCDF via Iris example; NumPy arrays; xarray objectsajdawson.github.io · read 24 Sep 2026
Data interfaces
The package provides interfaces for NumPy and Dask arrays, plus metadata-enabled interfaces for Iris and xarray.ajdawson.github.io · read 8 Oct 2026
Dependencies
NumPy is required; dask is optional, while Iris and xarray are needed only for their respective metadata interfaces.ajdawson.github.io · read 8 Oct 2026
Deployment
desktopajdawson.github.io · read 24 Sep 2026
Examples
The documentation includes standard, Iris, and xarray examples for North Atlantic Oscillation and El Niño analyses.ajdawson.github.io · read 8 Oct 2026
Implementation
The implementation is pure Python using NumPy and has no Fortran or C dependencies.ajdawson.github.io · read 8 Oct 2026
Installation
The project documents installation through conda-forge, pip, or a source archive.ajdawson.github.io · read 8 Oct 2026
Intended use
The package is presented for analyzing spatial-temporal data, with examples including climate patterns.ajdawson.github.io · read 8 Oct 2026
Interfaces
The standard interface accepts NumPy or dask arrays, and metadata interfaces support Iris or xarray data.ajdawson.github.io · read 8 Oct 2026
Large datasets
The package is designed to compute efficiently on large output datasets from modern climate models.ajdawson.github.io · read 8 Oct 2026
License
The repository describes eofs as licensed under GNU GPLv3.github.com · read 8 Oct 2026
Metadata
Optional Iris and xarray interfaces carry metadata from input fields into output fields.github.com · read 8 Oct 2026
Missing values
Missing values are removed during computations and placed back into output fields.ajdawson.github.io · read 8 Oct 2026
Purpose
eofs is a Python package for empirical orthogonal function analysis of spatial-temporal data.ajdawson.github.io · read 8 Oct 2026
Regression models
Noajdawson.github.io · read 24 Sep 2026

Alternatives to eofs

Every alternative, ranked