xarray.DataArray (original) (raw)

N-dimensional array with labeled coordinates and dimensions.

DataArray provides a wrapper around numpy ndarrays that uses labeled dimensions and coordinates to support metadata aware operations. The API is similar to that for the pandas Series or DataFrame, but DataArray objects can have any number of dimensions, and their contents have fixed data types.

Getting items from or doing mathematical operations with a DataArray always returns another DataArray.

da = xr.DataArray( ... data=temperature, ... dims=["x", "y", "time"], ... coords=dict( ... lon=(["x", "y"], lon), ... lat=(["x", "y"], lat), ... time=time, ... reference_time=reference_time, ... ), ... attrs=dict( ... description="Ambient temperature.", ... units="degC", ... ), ... ) da <xarray.DataArray (x: 2, y: 2, time: 3)> Size: 96B array([[[29.11241877, 18.20125767, 22.82990387], [32.92714559, 29.94046392, 7.18177696]],

   [[22.60070734, 13.78914233, 14.17424919],
    [18.28478802, 16.15234857, 26.63418806]]])

Coordinates: lon (x, y) float64 32B -99.83 -99.32 -99.79 -99.23 lat (x, y) float64 32B 42.25 42.21 42.63 42.59