How to convert the nc coords from (0, 360) to (-180,180)?
Source : link
lon_name = 'longitude' # whatever name is in the data
# Adjust lon values to make sure they are within (-180, 180)
ds['_longitude_adjusted'] = xr.where(
ds[lon_name] > 180,
ds[lon_name] - 360,
ds[lon_name])
# reassign the new coords to as the main lon coords
# and sort DataArray using new coordinate values
ds = (
ds
.swap_dims({lon_name: '_longitude_adjusted'})
.sel(**{'_longitude_adjusted': sorted(ds._longitude_adjusted)})
.drop(lon_name))
ds = ds.rename({'_longitude_adjusted': lon_name})
ds_new = ds.fillna(1.e+36)
ds_new.longitude.attrs["axis"] = "X"
ds_new.longitude.attrs["units"] = "degrees_east"
ds_new.longitude.attrs["standard_name"] = "Longitude"
ds_new.latitude.attrs["axis"] = "Y"
ds_new.time.attrs["axis"] = "T"
Reverse the dimension of lat : [90, 85, …, -85, -90] becomes [-90, -80, …, 85, 90]
Source: link
ds = ds.reindex(lat=ds.lat[::-1])
When you get Error : AttributeError: NetCDF: String match to name in use while saving the netcdf file,
Do: (source: link)
ds.to_netcdf(path+filename_save,format='NETCDF3_64BIT')