Works on 0.16.2, fails on git master.
import pandas as pd
import numpy as np
index = pd.date_range(start='20120102', periods=24*60*3, freq='T').values
index = index[::2]
s = pd.Series(np.arange(len(index), dtype='f8'), index=pd.Index(index))
expected = s.resample('30T', how='nunique')
Traceback:
Traceback (most recent call last):
File "test.py", line 7, in <module>
expected = s.resample('30T', how='nunique')
File "/Users/jcrist/Code/pandas/pandas/core/generic.py", line 3368, in resample
return sampler.resample(self).__finalize__(self)
File "/Users/jcrist/Code/pandas/pandas/tseries/resample.py", line 82, in resample
rs = self._resample_timestamps()
File "/Users/jcrist/Code/pandas/pandas/tseries/resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "/Users/jcrist/Code/pandas/pandas/core/groupby.py", line 2339, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "/Users/jcrist/Code/pandas/pandas/core/groupby.py", line 2564, in nunique
sorter = np.lexsort((val, ids))
ValueError: all keys need to be the same shape
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