I have a column in a df that’s made up of different film genres. I’d like to split them into separate columns:

[Drama, Romance, Thriller]
[Adventure, Fantasy, Action, Science Fiction]

I’d like the output to look like this:

Drama Romance Thriller Adventure etc.

Is there a way that I can do this?

Thanks

I’ve tried changing it into a set, didn’t work, the internet is full of for loop options that haven’t worked either.

This:

from sklearn.preprocessing import MultiLabelBinarizer

mlb = MultiLabelBinarizer()
df = df.join(pd.DataFrame(mlb.fit_transform(test['genres']),
                  columns=mlb.classes_, 
                  index=df.index))

Returned the following error:

ValueError: Shape of passed values is (10843, 20), indices imply (10866, 20)