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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1940650207 I_kwDOAMm_X85zq_jf 8300 Inconsistent behaviour of xarray.concat 40218891 closed 0     2 2023-10-12T19:23:32Z 2023-10-12T19:48:01Z 2023-10-12T19:48:00Z NONE      

What is your issue?

I am not sure if it is a bug or a feature: ``` import numpy as np import pandas as pd import xarray as xr

temp = 15 + 8 * np.random.randn(2, 2, 2) lon = [[-99.83, -99.32], [-99.79, -99.23]] lat = [[42.25, 42.21], [42.63, 42.59]] ds = xr.Dataset( {"temperature": (["x", "y", "time"], temp), "latitude_longitude": 0}, coords={ "lon": (["x", "y"], lon), "lat": (["x", "y"], lat), "time": ("time", pd.date_range("2014-09-05", periods=2)), }, ) print( xr.concat( [ds.isel(time=0), ds.isel(time=1)], "time", data_vars="minimal" ).latitude_longitude ) print( xr.concat( [ds.isel(time=slice(0, 1)), ds.isel(time=slice(1, 2))], "time", data_vars="minimal" ).latitude_longitude ) I expected the output to be the same. It appears that ``data_vars="minimal"`` has no effect when the concatenation dimension does not exist. <xarray.DataArray 'latitude_longitude' (time: 2)> array([0, 0]) Coordinates: * time (time) datetime64[ns] 2014-09-05 2014-09-06 <xarray.DataArray 'latitude_longitude' ()> array(0) The documentation states: These data variables will be concatenated together:

    “minimal”: Only data variables in which the dimension already appears are included.

``` BTW, this is xarray 2023.9.0.

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  completed 13221727 issue

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