I have a dataframe like this one: (comes from the Chess Game Dataset)
| moves | number_of_opening_moves |
|---|---|
| e4 e5 Nf3 d6 d4 Nc6 d5 Nb4 a3 Na6 Nc3 Be7 b4 | 5 |
| e4 e5 Bc4 Nc6 Nf3 Nd4 d3 Nxf3 Qxf3 | 4 |
| e4 e6 d4 d5 e5 c5 c3 Nc6 Nf3 Qb6 Be3 Qxb2 | 2 |
| e4 e5 Nf3 Nc6 Bc4 Nf6 Nc3 Bc5 O-O O-O d3 Ne8 | 5 |
I want to split the moves column (creating a new one for example) by the number of opening_moves indicated in the following column. Desired result:
| moves | number_of_opening_moves | opening_moves |
|---|---|---|
| e4 e5 Nf3 d6 d4 Nc6 d5 Nb4 a3 Na6 Nc3 Be7 b4 | 5 | e4 e5 Nf3 d6 d4 |
| e4 e5 Bc4 Nc6 Nf3 Nd4 d3 Nxf3 Qxf3 | 4 | e4 e5 Bc4 Nc6 |
| e4 e6 d4 d5 e5 c5 c3 Nc6 Nf3 Qb6 Be3 Qxb2 | 2 | e4 e6 |
| e4 e5 Nf3 Nc6 Bc4 Nf6 Nc3 Bc5 O-O O-O d3 Ne8 | 3 | e4 e5 Nf3 |
It sounds simple, but I didn't manage to find a similar post. This doesn't work:
split()[0:'number_of_opening_moves':3]
CodePudding user response：
Try list comprehension:
df['opening_moves'] = [x.split()[:int(i)] for x, i in zip(df['moves'], df['number_of_opening_moves'])]