issue_comments: 153967536

This error is graver. Is there a way to work with PeriodIndexes in the meantime?

``` python In [142]:

n=10 xray.Dataset( variables = { 'a': (['x', 'y'], np.random.rand(3,n)), 'b': (['x', 'y'], np.random.rand(3,n)) }, coords = { 'x': pd.period_range(start='2000', periods=3), 'y': range(n), }

) Out[142]: <xray.Dataset> Dimensions: (x: 3, y: 10) Coordinates: * y (y) int64 0 1 2 3 4 5 6 7 8 9 * x (x) int64 10957 10958 10959 Data variables: a (x, y) float64 0.9978 0.5963 0.3108 0.9992 0.4629 0.8929 0.9299 ... b (x, y) float64 0.9923 0.8678 0.4767 0.2957 0.4157 0.8527 0.269 ... ```

Change n to 100, leaving everything else identical:

``` python In [143]:

0 n=100 xray.Dataset( variables = { 'a': (['x', 'y'], np.random.rand(3,n)), 'b': (['x', 'y'], np.random.rand(3,n)) }, coords = { 'x': pd.period_range(start='2000', periods=3), 'y': range(n), }

)

TypeError Traceback (most recent call last) /usr/local/lib/python2.7/dist-packages/IPython/core/formatters.pyc in call(self, obj) 695 type_pprinters=self.type_printers, 696 deferred_pprinters=self.deferred_printers) --> 697 printer.pretty(obj) 698 printer.flush() 699 return stream.getvalue()

/usr/local/lib/python2.7/dist-packages/IPython/lib/pretty.pyc 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()

/usr/local/lib/python2.7/dist-packages/IPython/lib/pretty.pyc 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, '<')

/usr/local/lib/python2.7/dist-packages/IPython/lib/pretty.pyc in repr_pprint(obj, p, cycle) 683 """A pprint that just redirects to the normal repr function.""" 684 # Find newlines and replace them with p.break() --> 685 output = repr(obj) 686 for idx,output_line in enumerate(output.splitlines()): 687 if idx:

/usr/local/lib/python2.7/dist-packages/xray/core/dataset.pyc in repr(self) 885 886 def repr(self): --> 887 return formatting.dataset_repr(self) 888 889 @property

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in dataset_repr(ds) 271 272 summary.append(coords_repr(ds.coords, col_width=col_width)) --> 273 summary.append(vars_repr(ds.data_vars, col_width=col_width)) 274 if ds.attrs: 275 summary.append(attrs_repr(ds.attrs))

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in _mapping_repr(mapping, title, summarizer, col_width) 208 summary = ['%s:' % title] 209 if mapping: --> 210 summary += [summarizer(k, v, col_width) for k, v in mapping.items()] 211 else: 212 summary += [EMPTY_REPR]

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in summarize_var(name, var, col_width) 172 def summarize_var(name, var, col_width): 173 show_values = _not_remote(var) --> 174 return _summarize_var_or_coord(name, var, col_width, show_values) 175 176

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in _summarize_var_or_coord(name, var, col_width, show_values, marker, max_width) 154 front_str = first_col + dims_str + ('%s ' % var.dtype) 155 if show_values: --> 156 values_str = format_array_flat(var, max_width - len(front_str)) 157 else: 158 values_str = '...'

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in format_array_flat(items_ndarray, max_width) 130 # print at least one item 131 max_possibly_relevant = max(int(np.ceil(max_width / 2.0)), 1) --> 132 relevant_items = first_n_items(items_ndarray, max_possibly_relevant) 133 pprint_items = format_items(relevant_items) 134

/usr/local/lib/python2.7/dist-packages/xray/core/formatting.pyc in first_n_items(x, n_desired) 53 if n_desired < x.size: 54 indexer = _get_indexer_at_least_n_items(x.shape, n_desired) ---> 55 x = x[indexer] 56 return np.asarray(x).flat[:n_desired] 57

/usr/local/lib/python2.7/dist-packages/xray/core/dataarray.pyc in getitem(self, key) 370 else: 371 # orthogonal array indexing --> 372 return self.isel(**self._item_key_to_dict(key)) 373 374 def setitem(self, key, value):

/usr/local/lib/python2.7/dist-packages/xray/core/dataarray.pyc in isel(self, indexers) 537 DataArray.sel 538 """ --> 539 ds = self._dataset.isel(indexers) 540 return self._with_replaced_dataset(ds) 541

/usr/local/lib/python2.7/dist-packages/xray/core/dataset.pyc in isel(self, indexers) 1008 for name, var in iteritems(self._variables): 1009 var_indexers = dict((k, v) for k, v in indexers if k in var.dims) -> 1010 variables[name] = var.isel(var_indexers) 1011 return self._replace_vars_and_dims(variables) 1012

/usr/local/lib/python2.7/dist-packages/xray/core/variable.pyc in isel(self, *indexers) 494 if dim in indexers: 495 key[i] = indexers[dim] --> 496 return self[tuple(key)] 497 498 def transpose(self, dims):

/usr/local/lib/python2.7/dist-packages/xray/core/variable.pyc in getitem(self, key) 830 def getitem(self, key): 831 key = self._item_key_to_tuple(key) --> 832 values = self._indexable_data[key] 833 if not hasattr(values, 'ndim') or values.ndim == 0: 834 return Variable((), values, self._attrs, self._encoding)

/usr/local/lib/python2.7/dist-packages/xray/core/indexing.pyc in getitem(self, key) 398 value = np.timedelta64(getattr(value, 'value', value), 'ns') 399 else: --> 400 value = np.asarray(value, dtype=self.dtype) 401 else: 402 value = PandasIndexAdapter(self.array[key], dtype=self.dtype)

/usr/local/lib/python2.7/dist-packages/numpy/core/numeric.pyc in asarray(a, dtype, order) 472 473 """ --> 474 return array(a, dtype, copy=False, order=order) 475 476 def asanyarray(a, dtype=None, order=None):

TypeError: long() argument must be a string or a number, not 'pandas._period.Period' ```