issue_comments

I'm having similar issue, here is an example:

``` import numpy as np import dask.array as da import xarray as xr

darr = xr.DataArray(data=[0.2, 0.4, 0.6], coords={"z": range(3)}, dims=("z",)) good_indexer = xr.DataArray( data=np.random.randint(0, 3, 8).reshape(4, 2).astype(int), coords={"y": range(4), "x": range(2)}, dims=("y", "x") ) bad_indexer = xr.DataArray( data=da.random.randint(0, 3, 8).reshape(4, 2).astype(int), coords={"y": range(4), "x": range(2)}, dims=("y", "x") )

In [5]: darr
Out[5]: <xarray.DataArray (z: 3)> array([0.2, 0.4, 0.6]) Coordinates: * z (z) int64 0 1 2

In [6]: good_indexer
Out[6]: <xarray.DataArray (y: 4, x: 2)> array([[0, 1], [2, 2], [1, 2], [1, 0]]) Coordinates: * y (y) int64 0 1 2 3 * x (x) int64 0 1

In [7]: bad_indexer
Out[7]: <xarray.DataArray 'reshape-417766b2035dcb1227ddde8505297039' (y: 4, x: 2)> dask.array<reshape, shape=(4, 2), dtype=int64, chunksize=(4, 2), chunktype=numpy.ndarray> Coordinates: * y (y) int64 0 1 2 3 * x (x) int64 0 1

In [8]: darr[good_indexer]
Out[8]: <xarray.DataArray (y: 4, x: 2)> array([[0.2, 0.4], [0.6, 0.6], [0.4, 0.6], [0.4, 0.2]]) Coordinates: z (y, x) int64 0 1 2 2 1 2 1 0 * y (y) int64 0 1 2 3 * x (x) int64 0 1

In [9]: darr[bad_indexer]

TypeError Traceback (most recent call last) <ipython-input-8-2a57c1a2eade> in <module> ----> 1 darr[bad_indexer]

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/dataarray.py in getitem(self, key) 638 else: 639 # xarray-style array indexing --> 640 return self.isel(indexers=self._item_key_to_dict(key)) 641 642 def setitem(self, key: Any, value: Any) -> None:

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/dataarray.py in isel(self, indexers, drop, **indexers_kwargs) 1012 """ 1013 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, "isel") -> 1014 ds = self._to_temp_dataset().isel(drop=drop, indexers=indexers) 1015 return self._from_temp_dataset(ds) 1016

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/dataset.py in isel(self, indexers, drop, **indexers_kwargs) 1920 if name in self.indexes: 1921 new_var, new_index = isel_variable_and_index( -> 1922 name, var, self.indexes[name], var_indexers 1923 ) 1924 if new_index is not None:

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/indexes.py in isel_variable_and_index(name, variable, index, indexers) 79 ) 80 ---> 81 new_variable = variable.isel(indexers) 82 83 if new_variable.dims != (name,):

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/variable.py in isel(self, indexers, **indexers_kwargs) 1052 1053 key = tuple(indexers.get(dim, slice(None)) for dim in self.dims) -> 1054 return self[key] 1055 1056 def squeeze(self, dim=None):

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/variable.py in getitem(self, key) 700 array x.values directly. 701 """ --> 702 dims, indexer, new_order = self._broadcast_indexes(key) 703 data = as_indexable(self._data)[indexer] 704 if new_order:

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/variable.py in _broadcast_indexes(self, key) 557 if isinstance(k, Variable): 558 if len(k.dims) > 1: --> 559 return self._broadcast_indexes_vectorized(key) 560 dims.append(k.dims[0]) 561 elif not isinstance(k, integer_types):

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/variable.py in _broadcast_indexes_vectorized(self, key) 685 new_order = None 686 --> 687 return out_dims, VectorizedIndexer(tuple(out_key)), new_order 688 689 def getitem(self: VariableType, key) -> VariableType:

~/.virtualenvs/py3/local/lib/python3.7/site-packages/xarray/core/indexing.py in init(self, key) 447 else: 448 raise TypeError( --> 449 f"unexpected indexer type for {type(self).name}: {k!r}" 450 ) 451 new_key.append(k)

TypeError: unexpected indexer type for VectorizedIndexer: dask.array<reshape, shape=(4, 2), dtype=int64, chunksize=(4, 2), chunktype=numpy.ndarray>

In [10]: xr.version
Out[10]: '0.14.1'

In [11]: import dask; dask.version
Out[11]: '2.9.0' ```