xarray

Xarray provides a pandas-like experience for multidimensional data. It is the core of the Pangeo ecosystem and is essential for working with NetCDF, GRIB, and Zarr formats.

Official docs: https://docs.xarray.dev/ Tutorials: https://tutorial.xarray.dev/ Search patterns: xr.DataArray, xr.Dataset, ds.sel, ds.groupby, ds.resample, xr.opendataset

| DataArray | A single labeled N-dimensional array. | Like a pandas.Series but N-D. | | Dataset | A dict-like container of multiple DataArrays. | Like a pandas.DataFrame but N-D. |

N-dimensional labeled arrays and datasets in Python. Built on top of NumPy and Dask. It introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, making data analysis in physical sciences more intuitive and less error-prone. Use for working with multi-dimensional scientific data, NetCDF/GRIB/Zarr files, climate/weather/oceanographic datasets, remote sensing, geospatial imaging, large out-of-memory datasets with Dask, and labeled array operations. Source: tondevrel/scientific-agent-skills.