Figure 1
An example of a multidimensional labeled array. This figure (map) is showing the global surface air temperature for May 1, 2016 from ERA-Interim Reanalyis [11]. The map is labeled with the array's coordinates: longitude and latitude.
Figure 2
An overview of xarray’s main data structures. Types are annotated using Python 3 style type hints [23]. “Mapping of” denotes an ordered mapping with values of the given type.
Figure 3
An example of how a dataset (netCDF or xarray) for a weather forecast might be structured. This dataset has three dimensions, time, y, and x, each of which is also a one-dimensional coordinate. Temperature and precipitation are three-dimensional data variables. Also included in the dataset are two-dimensional coordinates latitude and longitude, having dimensions y and x, and reference time, a zero-dimensional (scalar) coordinate.