Description
Adds labeled multi-dimensional arrays and datasets to Python, commonly used for scientific, climate, geospatial, and analytical data. It helps users work with dimensions, coordinates, and metadata instead of only raw numeric positions.
Researchers and developers use it as a data-analysis library. Results depend on the source data and coordinate definitions, so verify units, dimensions, and missing values before drawing conclusions.