xarray
CommunityLabel-driven analysis for geoscience data.
AuthorSteadfastAsArt
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Handling multi-dimensional geoscience data with simple labeled coordinates is painful with plain NumPy; xarray provides high-level labeled data structures and I/O for NetCDF/Zarr, climate/ocean datasets, and CF conventions.
Core Features & Use Cases
- Labeled multi-dimensional arrays and datasets for intuitive data organization.
- NetCDF/Zarr I/O and CF-conventions support enabling seamless data loading and saving.
- Temporal aggregations (daily/monthly/annual means) and time-series analysis.
- Area-weighted statistics and robust mathematical operations across large arrays.
- Dask-backed scalability to handle big geoscience datasets.
- Interoperability with climate/ocean workflows and integration with common Python tools.
Quick Start
Open a NetCDF file and begin exploring labeled multi-dimensional data with simple selections and aggregations.
Dependency Matrix
Required Modules
numpyxarrayscipy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: xarray Download link: https://github.com/SteadfastAsArt/geoscience-skills/archive/main.zip#xarray Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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