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Merging two DataArrays with compat="minimal" drops the conflicting variable from coords but the test if that variable is in coords results to True even though the variable gets dropped.
What did you expect to happen?
The test should be False
Minimal Complete Verifiable Example
importnumpyasnpimportxarrayasxrda1=xr.DataArray(np.zeros((2, 2)), dims=("y", "x"), name="1")
c1= ("y", ["1", "2"])
da1["c1"] =c1da2=xr.DataArray(np.zeros((2, 2)), dims=("y", "x"), name="2")
c2= ("y", ["3", "4"])
da2["c1"] =c2xrds=xr.merge([da1, da2], compat="minimal")
"c1"inxrds.coords# results to True but should be False
MVCE confirmation
Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
Complete example — the example is self-contained, including all data and the text of any traceback.
Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
New issue — a search of GitHub Issues suggests this is not a duplicate.
What happened?
Merging two
DataArray
s withcompat="minimal"
drops the conflicting variable from coords but the test if that variable is in coords results toTrue
even though the variable gets dropped.What did you expect to happen?
The test should be
False
Minimal Complete Verifiable Example
MVCE confirmation
Relevant log output
No response
Anything else we need to know?
No response
Environment
xarray: 2022.12.0
pandas: 1.4.2
numpy: 1.22.3
scipy: 1.8.0
netCDF4: 1.5.8
pydap: None
h5netcdf: 1.0.0
h5py: 3.6.0
Nio: None
zarr: 2.11.3
cftime: 1.6.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: 1.3.5
dask: 2022.05.0
distributed: 2022.5.0
matplotlib: 3.5.2
cartopy: 0.20.2
seaborn: None
numbagg: None
fsspec: 2022.8.2
cupy: None
pint: 0.19.2
sparse: None
flox: 0.6.5
numpy_groupies: 0.9.20
setuptools: 62.2.0
pip: 22.1
conda: None
pytest: 7.1.2
mypy: None
IPython: 8.3.0
sphinx: 4.5.0
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