Python

In [51]: df.groupby('Gender', as_index=False).Age.mean()
Out[51]:
   Gender  Age
0  Female   18
1    Male   15

In [10]: titanic.groupby("Sex")["Age"].mean()
Out[10]: 
Sex
female    27.915709
male      30.726645
Name: Age, dtype: float64

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