example xarray to pandas conversion

demo_xarray_to_pandas.py

import xarray as xr 
from pathlib import Path 


if __name__ == "__main__":
    data_dir = Path("/Users/tommylees/github/spatio_temporal/data")
    # list(data_dir.glob("*.nc"))
    ds = xr.open_dataset(data_dir / "camels_static.nc")
    df = ds.to_dataframe()

    print(df.head())

An example of how to use the xarray .to_dataframe() functionality. The reality is that most often you want netcdf format files to remain in xarray as xr.DataArray or xr.Dataset objects. But there are cases where it can make sense to convert to pd.DataFrame objects.