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xarray n d labeled arrays and datasets in python features try ecosystem sponsors donate blog documentation english english en spanish es portuguese pt check out the latest blog post xarray ️ napari a plan for seamless integration xarray n d labeled arrays and datasets in python xarray is an open source project and python package that introduces labels in the form of dimensions coordinates and attributes on top of raw numpy like arrays which allows for more intuitive more concise and less error prone user experience xarray includes a large and growing library of domain agnostic functions for advanced analytics and visualization with these data structures get started why xarray key features capabilities xarray provides data models for working with labeled arrays and datasets its toolkit includes a broad set of domain agnostic functions for advanced analytics and visualization with these data structures interoperability interoperable with the scientific python ecosystem including numpy dask pandas and matplotlib apply operations over named dimensions select values by label instead of integer location vectorized operations mathematical operations vectorize across multiple dimensions array broadcasting based on dimension names not shape groupby operations flexible split apply combine operations with groupby database like operations database like alignment based on coordinate labels that smoothly handles missing values arbitrary metadata tracking keep track of arbitrary metadata in the form of a python dictionary flexible and extensible i o backend api read and write data to and from netcdf hdf zarr opendap and grib try xarray try xarray in a repl directly in your browser no installation needed 1 2 to try xarray in the browser 3 use the console located or 4 1 type code in the input cell and press 5 shift enter to execute 6 2 or copy paste the code and click on 7 the run button in the toolbar 8 9 import xarray as xr 10 import pandas as pd 11 import numpy as np 12 13 data xr dataarray 14 np random randn 3 2 3 15 dims time lat lon 16 coords 17 lat 10 20 18 time pd date_range 19 2020 01 periods 3 freq ms 20 21 22 23 24 positional and by integer label like numpy 25 data 0 26 27 loc or location positional and 28 coordinate label like pandas 29 data loc 10 30 31 isel or integer select by dimension name 32 and integer label 33 data isel lat 0 34 35 sel or select by dimension name and 36 coordinate label 37 data sel time 2020 01 38 39 data aggregations uses dimension names 40 instead of axis numbers 41 data mean dim time lat 42 43 quick and convenient visualizations 44 data isel lon 0 plot 45 46 pretty neat eh 47 for more head over to the documentation page copy ecosystem xarray is part of the larger scientific python ecosystem it is built on top of numpy pandas and dask and supports a wide range of domain specific scientific applications scientific domains array libraries this section lists some of the standalone packages projects developed with xarray backend agnostic tools for diagnostics and visualizations of bayesian inference in python bayesian inference an accessor for xarray objects that interprets climate and forecast cf metadata convention attributes geoscience verification of weather and climate forecasts geoscience a high level plotting api for the pydata ecosystem built on holoviews visualization collection of tools for reading visualizing and performing calculations with weather data meteorology integrated modeling and experimental data analysis software for magnetically confined thermonuclear fusion experiments plasma physics a community platform for big data geoscience geoscience scalable statistical genetic data analysis in python genomics collection of tools for the analysis and visualization of spatial molecular data bioinformatics python library for processing spatial data and interpolating it on regular grids ️ geographic processing raster based spatial analytics for python ️ geographic processing general circulation model postprocessing with xarray oceanography analysis ready cmip6 data in python the easy way with pangeo tools geoscience see more xarray supports multiple array backends allowing users to choose array types that work best for their application numpy view numpy s github view numpy s website numpy is the fundamental package for array computing with python dask view dask s github view dask s website distributed arrays and advanced parallelism for analytics enabling performance at scale cupy view cupy s github view cupy s website numpy compatible array library for gpu accelerated computing with python zarr view zarr s github view zarr s website an implementation of chunked compressed n dimensional arrays for python sparse view sparse s github view sparse s website sparse multi dimensional arrays for the pydata ecosystem pint view pint s github view pint s website operate and manipulate physical quantities in python supported by we thank these institutions for generously supporting the development and maintenance of xarray donate xarray is a numfocus sponsored project a 501 c 3 nonprofit charity in the united states numfocus provides xarray with fiscal legal and administrative support to help ensure the health and sustainability of the project for more information visit numfocus org if you like xarray and want to support our mission please consider making a donation to support our efforts donate 2026 xarray core developers apache 2 0 licensed main twitter github youtube blog rss feed xarray dashboard blog team citing xarray roadmap brand assets resources documentation tutorials example gallery compatible projects community contribute github discussions issue tracker stack overflow mailing list