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 1329996941,I_kwDOAMm_X85PRiSN,6880,AttributeError: 'PandasIndex' object has no attribute 'dtype',54628972,closed,0,,,2,2022-08-05T14:14:45Z,2022-08-05T16:19:23Z,2022-08-05T16:19:23Z,NONE,,,,"### What is your issue? Hi, all I tried to load the `xarray.Dataset` that was saved a couple of months ago by using `dill` as follows: ``` with open(rslt_path + snio_fname, ""rb"") as inputf: ppsp_snios = dill.load(inputf) ``` The problem is that I got an attribute error `AttributeError: 'PandasIndex' object has no attribute 'dtype'` after I updated the `xarray version 2022.6.0.` when I did `ppsp_snios.keys()` and cannot use for further calculation. However, I can access this after I downgraded to `version 0.19.0.` Can anyone have any suggestions to solve this problem? ``` --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/IPython/core/formatters.py:707, in PlainTextFormatter.__call__(self, obj) 700 stream = StringIO() 701 printer = pretty.RepresentationPrinter(stream, self.verbose, 702 self.max_width, self.newline, 703 max_seq_length=self.max_seq_length, 704 singleton_pprinters=self.singleton_printers, 705 type_pprinters=self.type_printers, 706 deferred_pprinters=self.deferred_printers) --> 707 printer.pretty(obj) 708 printer.flush() 709 return stream.getvalue() File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/IPython/lib/pretty.py:410, in RepresentationPrinter.pretty(self, obj) 407 return meth(obj, self, cycle) 408 if cls is not object \ 409 and callable(cls.__dict__.get('__repr__')): --> 410 return _repr_pprint(obj, self, cycle) 412 return _default_pprint(obj, self, cycle) 413 finally: File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/IPython/lib/pretty.py:778, in _repr_pprint(obj, p, cycle) 776 """"""A pprint that just redirects to the normal repr function."""""" 777 # Find newlines and replace them with p.break_() --> 778 output = repr(obj) 779 lines = output.splitlines() 780 with p.group(): File ~/miniconda3/envs/pymc/lib/python3.10/_collections_abc.py:864, in MappingView.__repr__(self) 863 def __repr__(self): --> 864 return '{0.__class__.__name__}({0._mapping!r})'.format(self) File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/dataset.py:2077, in Dataset.__repr__(self) 2076 def __repr__(self) -> str: -> 2077 return formatting.dataset_repr(self) File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/formatting.py:611, in dataset_repr(ds) 608 summary.append(f""{dims_start}({dims_values})"") 610 if ds.coords: --> 611 summary.append(coords_repr(ds.coords, col_width=col_width, max_rows=max_rows)) 613 unindexed_dims_str = unindexed_dims_repr(ds.dims, ds.coords, max_rows=max_rows) 614 if unindexed_dims_str: File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/formatting.py:400, in coords_repr(coords, col_width, max_rows) 398 if col_width is None: 399 col_width = _calculate_col_width(coords) --> 400 return _mapping_repr( 401 coords, 402 title=""Coordinates"", 403 summarizer=summarize_variable, 404 expand_option_name=""display_expand_coords"", 405 col_width=col_width, 406 indexes=coords.xindexes, 407 max_rows=max_rows, 408 ) File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/formatting.py:372, in _mapping_repr(mapping, title, summarizer, expand_option_name, col_width, max_rows, indexes) 367 summary += [ 368 summarizer(k, mapping[k], col_width, **summarizer_kwargs[k]) 369 for k in keys[-last_rows:] 370 ] 371 else: --> 372 summary += [ 373 summarizer(k, v, col_width, **summarizer_kwargs[k]) 374 for k, v in mapping.items() 375 ] 376 else: 377 summary += [EMPTY_REPR] File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/formatting.py:373, in (.0) 367 summary += [ 368 summarizer(k, mapping[k], col_width, **summarizer_kwargs[k]) 369 for k in keys[-last_rows:] 370 ] 371 else: 372 summary += [ --> 373 summarizer(k, v, col_width, **summarizer_kwargs[k]) 374 for k, v in mapping.items() 375 ] 376 else: 377 summary += [EMPTY_REPR] File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/formatting.py:306, in summarize_variable(name, var, col_width, max_width, is_index) 304 else: 305 dims_str = """" --> 306 front_str = f""{first_col}{dims_str}{variable.dtype} "" 308 values_width = max_width - len(front_str) 309 values_str = inline_variable_array_repr(variable, values_width) File ~/miniconda3/envs/pymc/lib/python3.10/site-packages/xarray/core/variable.py:330, in Variable.dtype(self) 328 @property 329 def dtype(self): --> 330 return self._data.dtype AttributeError: 'PandasIndex' object has no attribute 'dtype' ```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/6880/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue