如果我想删除“，”之前的所有值，如何从整个列中删除字符串的一部分？

Question

This is my first time asking a question here, so apologizes if the formatting is off.

I have a dataset that has a column for a client ID and another one for the age, but when I uploaded the data through pandas, it automatically started indexing the age column. I would like to get rid of the additional numbers before the actual age.

Here's how it turned out:

Age : Client ID
1,56   A134
2,61   A35
3,34   B56
4,54   B74

And here's how I want it to look:

Age : Client ID
56    A134
61    A35
34    B56
54    B74

Thanks!

Answer 1

Assuming, you need only the last values, it can be achieved with apply :

df["Age"].apply(lambda x: x.split(",")[-1])