This is my dataframe with i) columns representing the player names, ii) rows representing each game round, and iii) values representing whether they participated in each game round.
tdf = df[unique_players][mask]
tdf
Player A | Player B | Player C | Player D | Player E
10 0 | 1 | 1 | 0 | 1
44 0 | 0 | 1 | 1 | 1
45 0 | 0 | 1 | 1 | 1
56 0 | 1 | 1 | 1 | 1
Somehow, when I apply tdf.sum(), I get a weird 0 on top of my index column. I also tried to convert into dataframe, or reset_index() and see if the 0 goes away, but it does not.
tdf.sum()
0 << THIS IS THE WEIRD 0
Player A 0
Player B 2
Player C 4
Player D 3
Player E 4
Tried to convert into a dataframe, but this is the output.
| | 0 |
| 0 | |
| -------- | - |
| Player A | 0 |
| Player B | 0 |
| Player C | 0 |
| Player D | 0 |
| Player E | 0 |
Real example of how it looks in my jupyter lab. Output snippet link below.
Figured out why the issue was occurring, it was because I had a line of code df.columns = df.iloc[0] that causes this issue.
Sample screenshot here to show the problem. https://i.sstatic.net/VDxMK.png
