Method #1: reset_index()
>>> g
uses books
sum sum
token year
xanthos 1830 3 3
1840 3 3
1868 2 2
1875 1 1
[4 rows x 2 columns]
>>> g = g.reset_index()
>>> g
token year uses books
sum sum
0 xanthos 1830 3 3
1 xanthos 1840 3 3
2 xanthos 1868 2 2
3 xanthos 1875 1 1
[4 rows x 4 columns]
Method #2: don't make the index in the first place, using as_index=False
>>> g = dfalph[['token', 'year', 'uses', 'books']].groupby(['token', 'year'], as_index=False).sum()
>>> g
token year uses books
0 xanthos 1830 3 3
1 xanthos 1840 3 3
2 xanthos 1868 2 2
3 xanthos 1875 1 1
[4 rows x 4 columns]