Pandas extract numbers from column into new columns

Question

I currently have this df where the rect column is all strings. I need to extract the x, y, w and h from it into separate columns. The dataset is very large so I need an effi

Answer 1

Use str.extract, which extracts groups from regex into columns:

df['rect'].str.extract(r'\((?P\d+),(?P\d+)\),(?P\d+) by (?P\d+)', expand=True)

Result:

     x    y    w    h
0  120  168  260  120
1  120  168  260  120
2  120  168  260  120
3  120  168  260  120
4  120  168  260  120