Group pandas dataframe by a nested dictionary key

Question

I have a pandas dataframe where one of the columns is dictionary type. This is an example dataframe:

import pandas as pd
df = pd.DataFrame({\'a\': [1,2,3], 
         


        

Answer 1

you can do it this way:

In [15]: df.assign(major=df.version.apply(pd.Series).major).groupby('major').sum()
Out[15]:
       a   b
major
7      4  10
8      2   5

Answer 2

Option 1

df.groupby(df.version.apply(lambda x: x['major'])).size()

version
7    2
8    1
dtype: int64

---

df.groupby(df.version.apply(lambda x: x['major']))[['a', 'b']].sum()

Option 2

df.groupby(df.version.apply(pd.Series).major).size()

major
7    2
8    1
dtype: int64

---

df.groupby(df.version.apply(pd.Series).major)[['a', 'b']].sum()