Closed
Description
In [13]: pd.MultiIndex.from_arrays([[], []])
Out[13]:
MultiIndex(levels=[[], []],
labels=[[], []])
In [14]: pd.MultiIndex.from_arrays([[], []]).unique()
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-14-d5be3b23b8c3> in <module>()
----> 1 pd.MultiIndex.from_arrays([[], []]).unique()
~/pandas/pandas/core/indexes/multi.py in unique(self, level)
1071
1072 if level is None:
-> 1073 return super(MultiIndex, self).unique()
1074 else:
1075 level = self._get_level_number(level)
~/pandas/pandas/core/indexes/base.py in unique(self, level)
4366 self._validate_index_level(level)
4367 result = super(Index, self).unique()
-> 4368 return self._shallow_copy(result)
4369
4370 def drop_duplicates(self, keep='first'):
~/pandas/pandas/core/indexes/multi.py in _shallow_copy(self, values, **kwargs)
558 # discards freq
559 kwargs.pop('freq', None)
--> 560 return MultiIndex.from_tuples(values, **kwargs)
561 return self.view()
562
~/pandas/pandas/core/indexes/multi.py in from_tuples(cls, tuples, sortorder, names)
1315 if names is None:
1316 msg = 'Cannot infer number of levels from empty list'
-> 1317 raise TypeError(msg)
1318 arrays = [[]] * len(names)
1319 elif isinstance(tuples, (np.ndarray, Index)):
TypeError: Cannot infer number of levels from empty list