BUG: numexpr eval doesn't hold column name via single column selection

[sinhrks]

df = pd.DataFrame(np.random.randn(2, 3), columns=['A', 'B', 'C'])

numexpr.__version__
# '2.4'

# all resets column name
pd.eval('df.A')
#0   -0.312782
#1    1.204993
# dtype: float64

pd.eval('df["A"]')
#0   -0.312782
#1    1.204993
# dtype: float64

df.eval('A')
#0   -0.312782
#1    1.204993
# dtype: float64

# python engine looks OK
pd.eval('df["A"]', engine='python')
#0   -0.312782
#1    1.204993
# Name: A, dtype: float64

pd.eval('df.A', engine='python')
#0   -0.312782
#1    1.204993
# Name: A, dtype: float64

df.eval('A', engine='python')
#0   -0.312782
#1    1.204993
# Name: A, dtype: float64

[sinhrks]

Looked this a little, and assume _align (and _align_core) must include the name in axes which the result should have. Not sure the logic can be simple...

• https://github.com/pydata/pandas/blob/master/pandas/computation/align.py#L119

[domsmrz]

take