issues: 221855729

``` import xarray as xr xr.version '0.9.1'

ds = xr.open_dataset('lgm2co2.nc') ds <xarray.Dataset> Dimensions: (lat_aux_grid: 105, moc_comp: 1, moc_z: 26, time: 2204, transport_reg: 2) Coordinates: * time (time) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 ... * lat_aux_grid (lat_aux_grid) float32 -80.2602 -78.7338 -77.2176 ... * moc_z (moc_z) float32 0.0 800.0 1644.05 2573.71 3627.36 ... moc_components (moc_comp) |S512 b'Eulerian Mean' transport_regions (transport_reg) |S512 b'Global Ocean - Marginal Seas' ... Dimensions without coordinates: moc_comp, transport_reg Data variables: MOC (time, transport_reg, moc_comp, moc_z, lat_aux_grid) float64 0.0 ...

moc = ds.MOC.isel(transport_reg=1,moc_comp=0) moc

---

TypeError Traceback (most recent call last) /Users/Yefee/miniconda3/lib/python3.6/site-packages/IPython/core/formatters.py in call(self, obj) 670 type_pprinters=self.type_printers, 671 deferred_pprinters=self.deferred_printers) --> 672 printer.pretty(obj) 673 printer.flush() 674 return stream.getvalue()

/Users/Yefee/miniconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in pretty(self, obj) 381 if callable(meth): 382 return meth(obj, self, cycle) --> 383 return _default_pprint(obj, self, cycle) 384 finally: 385 self.end_group()

/Users/Yefee/miniconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in default_pprint(obj, p, cycle) 501 if _safe_getattr(klass, '__repr__', None) not in _baseclass_reprs: 502 # A user-provided repr. Find newlines and replace them with p.break() --> 503 _repr_pprint(obj, p, cycle) 504 return 505 p.begin_group(1, '<')

/Users/Yefee/miniconda3/lib/python3.6/site-packages/IPython/lib/pretty.py in repr_pprint(obj, p, cycle) 699 """A pprint that just redirects to the normal repr function.""" 700 # Find newlines and replace them with p.break() --> 701 output = repr(obj) 702 for idx,output_line in enumerate(output.splitlines()): 703 if idx:

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/common.py in repr(self) 152 153 def repr(self): --> 154 return formatting.array_repr(self) 155 156 def _iter(self):

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in array_repr(arr) 380 if hasattr(arr, 'coords'): 381 if arr.coords: --> 382 summary.append(repr(arr.coords)) 383 384 unindexed_dims_str = unindexed_dims_repr(arr.dims, arr.coords)

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in repr(self) 58 """Mixin that defines repr for a class that already has unicode.""" 59 def repr(self): ---> 60 return ensure_valid_repr(self.unicode()) 61 62

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/coordinates.py in unicode(self) 44 45 def unicode(self): ---> 46 return formatting.coords_repr(self) 47 48 @property

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in coords_repr(coords, col_width) 309 col_width = _calculate_col_width(_get_col_items(coords)) 310 return _mapping_repr(coords, title=u'Coordinates', --> 311 summarizer=summarize_coord, col_width=col_width) 312 313

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in _mapping_repr(mapping, title, summarizer, col_width) 291 summary = [u'%s:' % title] 292 if mapping: --> 293 summary += [summarizer(k, v, col_width) for k, v in mapping.items()] 294 else: 295 summary += [EMPTY_REPR]

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in <listcomp>(.0) 291 summary = [u'%s:' % title] 292 if mapping: --> 293 summary += [summarizer(k, v, col_width) for k, v in mapping.items()] 294 else: 295 summary += [EMPTY_REPR]

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in summarize_coord(name, var, col_width) 251 [_summarize_coord_multiindex(coord, col_width, marker), 252 _summarize_coord_levels(coord, col_width)]) --> 253 return _summarize_var_or_coord(name, var, col_width, show_values, marker) 254 255

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in _summarize_var_or_coord(name, var, col_width, show_values, marker, max_width) 205 front_str = u'%s%s%s ' % (first_col, dims_str, var.dtype) 206 if show_values: --> 207 values_str = format_array_flat(var, max_width - len(front_str)) 208 else: 209 values_str = u'...'

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in format_array_flat(items_ndarray, max_width) 178 # print at least one item 179 max_possibly_relevant = max(int(np.ceil(max_width / 2.0)), 1) --> 180 relevant_items = first_n_items(items_ndarray, max_possibly_relevant) 181 pprint_items = format_items(relevant_items) 182

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/formatting.py in first_n_items(x, n_desired) 86 if n_desired < x.size: 87 indexer = _get_indexer_at_least_n_items(x.shape, n_desired) ---> 88 x = x[indexer] 89 return np.asarray(x).flat[:n_desired] 90

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/dataarray.py in getitem(self, key) 467 else: 468 # orthogonal array indexing --> 469 return self.isel(**self._item_key_to_dict(key)) 470 471 def setitem(self, key, value):

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/dataarray.py in isel(self, drop, indexers) 655 DataArray.sel 656 """ --> 657 ds = self._to_temp_dataset().isel(drop=drop, indexers) 658 return self._from_temp_dataset(ds) 659

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/dataset.py in isel(self, drop, indexers) 1117 for name, var in iteritems(self._variables): 1118 var_indexers = dict((k, v) for k, v in indexers if k in var.dims) -> 1119 new_var = var.isel(var_indexers) 1120 if not (drop and name in var_indexers): 1121 variables[name] = new_var

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/variable.py in isel(self, **indexers) 545 if dim in indexers: 546 key[i] = indexers[dim] --> 547 return self[tuple(key)] 548 549 def squeeze(self, dim=None):

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/variable.py in getitem(self, key) 375 dims = tuple(dim for k, dim in zip(key, self.dims) 376 if not isinstance(k, (int, np.integer))) --> 377 values = self._indexable_data[key] 378 # orthogonal indexing should ensure the dimensionality is consistent 379 if hasattr(values, 'ndim'):

/Users/Yefee/miniconda3/lib/python3.6/site-packages/xarray/core/indexing.py in getitem(self, key) 419 420 def getitem(self, key): --> 421 return type(self)(self.array[key]) 422 423 def setitem(self, key, value):

TypeError: byte indices must be integers or slices, not tuple ```

But using copy method makes it work. ``` moc = ds.MOC.isel(transport_reg=1,moc_comp=0).copy() moc <xarray.DataArray 'MOC' (time: 2204, moc_z: 26, lat_aux_grid: 105)> array([[[ 2.859555e-03, 2.859555e-03, ..., 3.184585e-06, -1.938138e-07], [ 7.209966e-01, 7.209966e-01, ..., 5.836686e-03, -2.183406e-07], ..., [ 0.000000e+00, 0.000000e+00, ..., 8.159353e-08, 8.159353e-08], [ 0.000000e+00, 0.000000e+00, ..., 0.000000e+00, 0.000000e+00]],

   [[ -4.233219e-03,  -4.233219e-03, ...,  -4.192515e-06,   2.099500e-07],
    [  7.536786e-01,   7.536786e-01, ...,   4.770853e-03,   2.859786e-07],
    ...,
    [  0.000000e+00,   0.000000e+00, ...,  -1.668220e-07,  -1.668220e-07],
    [  0.000000e+00,   0.000000e+00, ...,   0.000000e+00,   0.000000e+00]],

   ...,
   [[  1.523036e-03,   1.523036e-03, ...,  -1.674448e-06,  -3.071424e-08],
    [  7.738025e-01,   7.738025e-01, ...,   2.440764e-03,   2.238331e-08],
    ...,
    [  0.000000e+00,   0.000000e+00, ...,  -4.054318e-08,  -4.054318e-08],
    [  0.000000e+00,   0.000000e+00, ...,   0.000000e+00,   0.000000e+00]],

   [[  1.113985e-03,   1.113985e-03, ...,  -2.358672e-06,  -4.464008e-07],
    [  6.900834e-01,   6.900834e-01, ...,   8.989943e-04,  -5.926298e-07],
    ...,
    [  0.000000e+00,   0.000000e+00, ...,  -6.891400e-10,  -6.891400e-10],
    [  0.000000e+00,   0.000000e+00, ...,   0.000000e+00,   0.000000e+00]]])

Coordinates: * time (time) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 ... * lat_aux_grid (lat_aux_grid) float32 -80.2602 -78.7338 -77.2176 ... * moc_z (moc_z) float32 0.0 800.0 1644.05 2573.71 3627.36 ... moc_components |S13 b'Eulerian Mean' transport_regions |S54 b'Atlantic Ocean + Labrador Sea + GIN Sea + Arctic Ocean' ... Attributes: long_name: Meridional Overturning Circulation units: Sverdrups ```