What happened?

I am reading in a dataset with 360 longitudes that span -179.5 to 179.5 by 1 degree. Instead I want the data to run from 0.5 to 359.5 by 1 degree. Using ds = xc.open_dataset(filename, use_cftime = True, lon_orient=(0, 360)), it successfully reorients the longitudes to be positive definite (in degrees East), but it adds an additional longitude such that I have both 359.5 and 360.

What did you expect to happen? Are there are possible answers you came across?

I expected this to keep the same longitudes, but orient the data from 0.5 to 359.5 without adding that 360 degree point.

Minimal Complete Verifiable Example (MVCE)

On NERSC:

filename='/global/cfs/cdirs/m4581/obs4MIPs/obs4MIPs_input/MOHC/HadISST1-1/v20231114/HadISST.1.1.sst.nc'
ds0 = xc.open_mfdataset(filename, use_cftime = True)
ds1 = xc.open_mfdataset(filename, use_cftime = True, lon_orient=(0, 360))
ds0.longitude,ds1.longitude

Relevant log output

(<xarray.DataArray 'longitude' (longitude: 360)> Size: 1kB
 array([-179.5, -178.5, -177.5, ...,  177.5,  178.5,  179.5], dtype=float32)
 Coordinates:
   * longitude  (longitude) float32 1kB -179.5 -178.5 -177.5 ... 178.5 179.5
 Attributes:
     units:          degrees_east
     long_name:      Longitude
     standard_name:  longitude
     bounds:         longitude_bnds,
 <xarray.DataArray 'longitude' (longitude: 361)> Size: 1kB

 array([  0.5,   1.5,   2.5, ..., 358.5, 359.5, 360. ], dtype=float32)
 Coordinates:
   * longitude  (longitude) float32 1kB 0.5 1.5 2.5 3.5 ... 358.5 359.5 360.0
 Attributes:
     units:          degrees_east
     long_name:      Longitude
     standard_name:  longitude
     bounds:         longitude_bnds)

Anything else we need to know?

No response

Environment

xCDAT version 0.8.0

INSTALLED VERSIONS

commit: None
python: 3.13.2 | packaged by conda-forge | (main, Feb 17 2025, 14:10:22) [GCC 13.3.0]
python-bits: 64
OS: Linux
OS-release: 5.14.21-150500.55.97_13.0.78-cray_shasta_c
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.4
libnetcdf: 4.9.2

xarray: 2025.3.0
pandas: 2.2.3
numpy: 2.1.3
scipy: 1.15.2
netCDF4: 1.7.2
pydap: None
h5netcdf: None
h5py: None
zarr: None
cftime: 1.6.4
nc_time_axis: 1.4.1
iris: None
bottleneck: 1.4.2
dask: 2025.3.0
distributed: 2025.3.0
matplotlib: 3.10.1
cartopy: 0.24.1
seaborn: None
numbagg: None
fsspec: 2025.3.2
cupy: None
pint: 0.24.4
sparse: 0.15.4
flox: None
numpy_groupies: None
setuptools: 78.1.1
pip: 25.1
conda: None
pytest: None
mypy: None
IPython: 9.0.2
sphinx: None