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

This is one of those cases where it makes sense to "optimize" the data itself instead of trying to morph it into what a consumer wants. It's much easier to change clean data into a specialized format than it is to change a specialized format into something portable.

That said, if you really have to parse this, you can do something like

>>> import re
>>> re.findall(r'\d+', '')
['120', '168', '260', '120']
>>>