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.
Related Software
| Python Data Analysis | |
|---|---|
| pandas | High-level building block for doing practical, real world data analysis |
| NumPy | Core package for scientific computing with Python |
| SciPy | Ecosystem for mathematics, science, and engineering |
| Polars | DataFrame interface on top of an OLAP Query Engine |
| statsmodels | Statistical modeling and econometrics in Python |
| Dask | Advanced parallelism for analytics |
| Orange | Component-based framework for machine learning and data mining |
| Modin | Drop-in replacement for pandas |
| Vaex | Fast visualization of big data |
| AWS DW | Extends the power of pandas library |
| yt | Multi-code Toolkit for Analyzing and Visualizing Volumetric Data |
| HoloViews | Make Data Analysis and Visualization Seamless |
| datatable | Manipulate 2-dimensional tabular data structures |
| xarray | Work with labelled multi-dimensional arrays and datasets |
| pyjanitor | Extend pandas with readable data-cleaning functions |
| Optimus | Agile Data Preparation Workflows |
Read our verdict in the software roundup.
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