Would love it if Series.quantile() converted the dtype to float (as DataFrame.quantile() appears to do). As it is, I get the following error with dtype=object:
In [8]: low
Out[8]:
...
Name: p, Length: 2218, dtype: object
In [9]: low.quantile(0.33)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/ase/src/ase/analysis/conservation.py in <module>()
----> 1 low.quantile(0.33)
/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/series.pyc in quantile(self, q)
1323 return pa.NA
1324 result = _quantile(valid_values, q * 100)
-> 1325 if result.dtype == _TD_DTYPE:
1326 from pandas.tseries.timedeltas import to_timedelta
1327 return to_timedelta(result)
AttributeError: 'float' object has no attribute 'dtype'
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