Trying to perform this operation on a groupby object called clusters:
clusters.agg({'diffs': lambda x: x.quantile(.5)})
where diffs is a column of Timedelta objects.
Getting the error:
/usr/local/lib/python2.7/dist-packages/pandas/core/groupby.pyc in aggregate(self, func_or_funcs, *args, **kwargs)
2305 return self._python_agg_general(func_or_funcs, *args, **kwargs)
2306 except Exception:
-> 2307 result = self._aggregate_named(func_or_funcs, *args, **kwargs)
2308
2309 index = Index(sorted(result), name=self.grouper.names[0])
/usr/local/lib/python2.7/dist-packages/pandas/core/groupby.pyc in _aggregate_named(self, func, *args, **kwargs)
2392 for name, group in self:
2393 group.name = name
-> 2394 output = func(group, *args, **kwargs)
2395 if isinstance(output, (Series, Index, np.ndarray)):
2396 raise Exception('Must produce aggregated value')
<ipython-input-174-5be8bb847fd6> in <lambda>(x)
----> 1 clusters.agg({'diffs': lambda x: x.quantile(.5)})
/usr/local/lib/python2.7/dist-packages/pandas/core/series.pyc in quantile(self, q)
1264 return _quantile(values, qs*100)
1265
-> 1266 return self._maybe_box(lambda values: multi(values, q), dropna=True)
1267
1268 def ptp(self, axis=None, out=None):
/usr/local/lib/python2.7/dist-packages/pandas/core/series.pyc in _maybe_box(self, func, dropna)
2105
2106 if len(values) == 0:
-> 2107 return boxer(iNaT)
2108
2109 values = values.view('i8')
NameError: global name 'iNaT' is not defined
Looks like other references to iNaT are all tslib.iNaT.
https://github.com/pydata/pandas/blob/master/pandas/core/series.py#L2098
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