issue_comments: 661721510

Description

Any news about this issue? I am facing the same problem and I had to get the calendars by hand... I tried to update xarray but there is still the same issue of missing the ds.time.encoding with open_mfdataset when the dimension to concatenate is the time (because the example from @keewis above works but the concatenation is on x).

Step to reproduce

Here is a simple example to illustrate:

python import xarray as xr ds = xr.tutorial.open_dataset('air_temperature') ds.time.encoding

that gives: python {'source': '/home/lalandmi/.xarray_tutorial_data/air_temperature.nc', 'original_shape': (2920,), 'dtype': dtype('float32'), 'units': 'hours since 1800-01-01', 'calendar': 'standard'}

Let's slipt this dataset and try to read it back with open_mfdataset: python ds.sel(time='2013').to_netcdf('tutorial_air_temperature_2013.nc') ds.sel(time='2014').to_netcdf('tutorial_air_temperature_2014.nc') ds_mf = xr.open_mfdataset('tutorial_air_temperature_*.nc', combine='by_coords') ds_mf.time.encoding that results in an empty dictionary: python {}

Adding some arguments attrs_file=paths[0] with the name of the files didn't change anything for me. Is there any other way or update about this?

Xarray version