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

Inline

Produce a copy

df.assign(**dict(zip('xywh', df.rect.str.findall('\d+').str)))

                          rect    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

Or just reassign to df

df = df.assign(**dict(zip('xywh', df.rect.str.findall('\d+').str)))

df

                          rect    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

---

Inplace

Modify existing df

df[[*'xywh']] = pd.DataFrame(df.rect.str.findall('\d+').tolist())

df

                          rect    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