Skip to main content

Regridding tools using xarray and flox.

Project description

xarray-regrid: Regridding utilities for xarray.


With xarray-regrid it is possible to regrid between two rectilinear grids. The following methods are supported:

  • Linear
  • Nearest-neighbor
  • Conservative
  • Cubic
  • "Most common value" (zonal statistics)

Note that "Most common value" is designed to regrid categorical data to a coarse resolution. For regridding categorical data to a finer resolution, please use "nearest-neighbor" regridder.



pip install xarray-regrid


The xarray-regrid routines are accessed using the "regrid" accessor on an xarray Dataset:

import xarray_regrid

ds = xr.open_dataset("")
ds_grid = xr.open_dataset("")


For examples, see the benchmark notebooks and the demo notebooks.


The benchmark notebooks contain comparisons to more standard methods (CDO, xESMF).

To be able to run the notebooks, a conda environment is required (due to ESMF and CDO). You can install this environment using the environment.yml file in this repository. Micromamba is a lightweight version of the much faster "mamba" conda alternative.

micromamba create -n environment_name -f environment.yml


This package was developed under Netherlands eScience Center grant NLESC.OEC.2022.017.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xarray_regrid-0.2.3.tar.gz (1.1 MB view hashes)

Uploaded Source

Built Distribution

xarray_regrid-0.2.3-py3-none-any.whl (16.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page