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Showing content from https://github.com/pandas-dev/pandas/issues/12772 below:

BUG: Series.quantile dtype / nan handling issue · Issue #12772 · pandas-dev/pandas · GitHub

Found some issues when working on #12572. Both being fixed.

Code Sample, a copy-pastable example if possible 1. DataFrame may coerce to float even if interpolation 
# OK, same as numpy
pd.Series([1, 2, 3]).quantile([0.5], interpolation='lower').dtypes
# dtype('int64')

# NG, it must be int
pd.DataFrame({'A': [1, 2, 3]}).quantile([0.5], interpolation='lower').dtypes
# A    float64
# dtype: object
2. May return scalar even if its input is a list-like 
# NG, it must be a Series
pd.Series([]).quantile([0.2, 0.3])
# nan
output of pd.show_versions()

Current master.

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