Split a dataframe column's list into two dataframe columns

Question

I\'m effectively trying to do a text-to-columns (from MS Excel) action, but in Pandas.

I have a dataframe that contains values like: 1_1, 2_1, 3_1, and I only want t

Answer 1

Use expand=True when doing the split to get multiple columns:

test['values'].str.split('_', expand=True)

If there's only one underscore, and you only care about the value to the right, you could use:

test['values'].str.split('_').str[1]