>-------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-23-5d739a721388> in <module> ----> 1 da.sel(datetime='2020') ~\anaconda3\envs\DataHub\lib\site-packages\xarray\core\dataarray.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs) 1219 1220 """ -> 1221 ds = self._to_temp_dataset().sel( 1222 indexers=indexers, 1223 drop=drop, ~\anaconda3\envs\DataHub\lib\site-packages\xarray\core\dataarray.py in _to_temp_dataset(self) 499 500 def _to_temp_dataset(self) -> Dataset: --> 501 return self._to_dataset_whole(name=_THIS_ARRAY, shallow_copy=False) 502 503 def _from_temp_dataset( ~\anaconda3\envs\DataHub\lib\site-packages\xarray\core\dataarray.py in _to_dataset_whole(self, name, shallow_copy) 551 552 coord_names = set(self._coords) --> 553 dataset = Dataset._construct_direct(variables, coord_names, indexes=indexes) 554 return dataset 555 ~\anaconda3\envs\DataHub\lib\site-packages\xarray\core\dataset.py in _construct_direct(cls, variables, coord_names, dims, attrs, indexes, encoding, file_obj) 959 """ 960 if dims is None: --> 961 dims = calculate_dimensions(variables) 962 obj = object.__new__(cls) 963 obj._variables = variables ~\anaconda3\envs\DataHub\lib\site-packages\xarray\core\dataset.py in calculate_dimensions(variables) 207 "conflicting sizes for dimension %r: " 208 "length %s on %r and length %s on %r" --> 209 % (dim, size, k, dims[dim], last_used[dim]) 210 ) 211 return dims ValueError: conflicting sizes for dimension 'datetime': length nan on <this-array> and length 90386 on 'datetime'

This occurs due to the construction of Variable(dims, data, attrs, fastpath=True) on line 404, which converts the data to a numpy array on line 244 of variable.py.

I'm assuming there's an alternative way to construct Variable that is dask friendly but I couldn't find anything searching around, including areas that are using dask like open_dataset with chunks. Any advice on how to get around this would be much appreciated!

Uh oh!

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