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Description
What happened?
I get back the wrong projections when passing transform with col_wrap = 2 while plotting a facetgrid (first picture).
I also get empty subplots when using transform = ccrs.PlateCarrree with a defined xlim and ylim (second picture).
What did you expect to happen?
Minimal Complete Verifiable Example
import xarray as xr
url = 'https://pavics.ouranos.ca//twitcher/ows/proxy/thredds/dodsC/birdhouse/disk2/cccs_portal/indices/Final/BCCAQv2_CMIP6/tx_max/YS/ssp585/ensemble_percentiles/tx_max_ann_BCCAQ2v2+ANUSPLIN300_historical+ssp585_1950-2100_30ymean_percentiles.nc'
opened = xr.open_dataset(url, decode_timedelta=False)
ds_space = opened[['tx_max_p50']].isel(time=[0, 1, 2]).sel(lat=slice(40,65), lon=slice(-90,-55))
#transform with col_wrap
ds_space['tx_max_p50'].plot(**{"x": "lon", "y": "lat", "col": "time", 'col_wrap':2},
subplot_kws={"projection": ccrs.LambertConformal()},
transform = ccrs.PlateCarree()
)
#transform and xlim/ylim
ds_space['tx_max_p50'].plot(**{"x": "lon", "y": "lat", "col": "time",
"xlim": [-70, -75], "ylim": [45, 50]},
subplot_kws={"projection": ccrs.LambertConformal()},
transform = ccrs.PlateCarree()
)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.
- Recent environment — the issue occurs with the latest version of xarray and its dependencies.
Relevant log output
No response
Anything else we need to know?
No response
Environment
Details
commit: None python: 3.11.0 | packaged by conda-forge | (main, Jan 14 2023, 12:27:40) [GCC 11.3.0] python-bits: 64 OS: Linux OS-release: 6.2.0-39-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: fr_CA.UTF-8 LOCALE: ('fr_CA', 'UTF-8') libhdf5: 1.14.0 libnetcdf: 4.9.2xarray: 2023.10.1
pandas: 2.0.2
numpy: 1.24.3
scipy: 1.10.1
netCDF4: 1.6.4
pydap: None
h5netcdf: None
h5py: 3.8.0
Nio: None
zarr: 2.15.0
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: 1.3.7
dask: 2023.6.0
distributed: 2023.6.0
matplotlib: 3.7.1
cartopy: 0.21.1
seaborn: 0.12.2
numbagg: None
fsspec: 2023.6.0
cupy: None
pint: 0.22
sparse: None
flox: None
numpy_groupies: None
setuptools: 67.7.2
pip: 23.1.2
conda: None
pytest: 7.3.2
mypy: None
IPython: 8.14.0
sphinx: 7.0.1


