DataFrame has no object .split()

Question

i sum up the best sales from all months

all_months_data.groupby('Month').sum()

    Quantity Ordered    Price Each  Sales
Month           
1   10903   1811768.38  1822256.73
2   13449   2188884.72  2202022.42
3   17005   2791207.83  2807100.38
4   20558   3367671.02  3390670.24
5   18667   3135125.13  3152606.75
6   15253   2562025.61  2577802.26
7   16072   2632539.56  2647775.76
8   13448   2230345.42  2244467.88
9   13109   2084992.09  2097560.13
10  22703   3715554.83  3736726.88
11  19798   3180600.68  3199603.20
12  28114   4588415.41  4613443.34

am trying to split the the results above with the code below but it returns the an error saying DataFrame has not object .split()

best_sales = all_months_data.groupby('Month').sum()
ouptut = [int(i) for i in best_sales.split(',')]
print(ouptut)

Answer 1

I believe you can convert a dataframe into a list. I haven't tested this but you could try this.

best_sales = all_months_data.groupby('Month').sum()
ouptut = [int(i) for i in best_sales.values.tolist()]
print(ouptut)