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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
932582053 https://github.com/pydata/xarray/issues/2511#issuecomment-932582053 https://api.github.com/repos/pydata/xarray/issues/2511 IC_kwDOAMm_X843lhKl cerodell 38116316 2021-10-01T21:18:53Z 2021-10-01T21:20:49Z NONE

Hello! First off thank you for all the hard work on xarray! Use it every day and love it :)

I am also having issues indexing with dask arrays and get the following error.

``` Traceback (most recent call last): File "~/phd-comps/scripts/sfire-pbl.py", line 64, in <module> PBLH = height.isel(gradT2.argmax(dim=['interp_level'])) File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/dataarray.py", line 1184, in isel indexers, drop=drop, missing_dims=missing_dims File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/dataset.py", line 2389, in _isel_fancy new_var = var.isel(indexers=var_indexers) File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/variable.py", line 1156, in isel return self[key] File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/variable.py", line 776, in getitem dims, indexer, new_order = self._broadcast_indexes(key) File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/variable.py", line 632, in _broadcast_indexes return self._broadcast_indexes_vectorized(key) File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/variable.py", line 761, in _broadcast_indexes_vectorized return out_dims, VectorizedIndexer(tuple(out_key)), new_order File "~/miniconda3/envs/cr/lib/python3.7/site-packages/xarray/core/indexing.py", line 323, in init f"unexpected indexer type for {type(self).name}: {k!r}" TypeError: unexpected indexer type for VectorizedIndexer: dask.array<getitem, shape=(240, 399, 159), dtype=int64, chunksize=(60, 133, 53), chunktype=numpy.ndarray>

dask 2021.9.1 pyhd8ed1ab_0 conda-forge xarray 0.19.0 pyhd8ed1ab_0 conda-forge ```

In order to get it to work, I first need to manually call compute to load to NumPy array before using argmax with isel. Not sure what info I can provide to help solve the issue please let me know and ill send whatever I can. 

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   Array indexing with dask arrays 374025325

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