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Series.quantile() should convert input dtype to float #6555

@nspies

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@nspies

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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    BugDtype ConversionsUnexpected or buggy dtype conversionsNumeric OperationsArithmetic, Comparison, and Logical operations

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