xarray is a Python package for working with labelled multi-dimensional arrays and datasets.
It adds names, coordinates and metadata to NumPy-like arrays, giving users a clearer way to analyse scientific and numerical data with dimension-aware code. The project is particularly useful for netCDF-style data and integrates with Dask for parallel computing, while offering a broad collection of tools for analytics and visualisation.
This is free and open source software.
Key Features
- Applies calculations over named dimensions rather than relying only on array axis positions.
- Selects data by labels, coordinates and dimension names.
- Supports vectorised mathematical operations with automatic broadcasting by dimension name.
- Provides split-apply-combine workflows with groupby operations.
- Aligns datasets using coordinate labels while handling missing values.
- Stores arbitrary metadata as attributes attached to arrays and datasets.
Website: github.com/pydata/xarray
Support:
Developer: xarray Developers
License: Apache License 2.0
xarray is written in Python. Learn Python with our recommended free books and free tutorials.
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