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4
BudiBadu
Online Xarray Compiler
Xarray is an open-source Python library that makes working with labeled multi-dimensional arrays simple and efficient. It introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, allowing for a more intuitive, concise, and less error-prone developer experience.
Our online Xarray compiler runs entirely in your browser using Pyodide. It allows you to experiment with Xarray's powerful data structures: DataArray (labeled N-dimensional arrays) and Dataset (a dictionary-like container of DataArrays). You can perform complex operations like group-by, reshaping, and mathematical computations using meaningful label names instead of integer indices.
Key Features
- Labeled Dimensions: Select and operate on data by name (e.g., 'time', 'lat') rather than axis ID.
- Metadata Tracking: Keep track of arbitrary metadata (units, descriptions) alongside your data.
- Powerful Indexing: Select data by label values, ranges, or boolean masks.
- Vectorized Operations: Apply mathematical operations across multiple dimensions automatically.
- Group-By Operations: Perform "split-apply-combine" operations on specific dimensions.
Ideal Use Cases
- Scientific Data Analysis: Climate science, meteorology, oceanography, and physics.
- Geospatial Analysis: Working with satellite imagery and gridded geographical data.
- Time Series Analysis: Handling complex multi-dimensional time series data.
- High-Dimensional Data: Simplifying manipulation of data with 3+ dimensions.
Part of the BudiBadu Ecosystem
Specialized Online Python compiler powered by Pyodide WebAssembly. Run Python Library directly in your browser with zero setup.
Pyodide
WebAssembly
Monaco Editor
Python 3.13