Python pandas regex extract to 4 new columns

import pandas as pd
df = pd.DataFrame(data={'data': ['2 (B) - 15 (K)']})
print(df)

Current DataFrame:

             data
0  2 (B) - 15 (K)

What am looking to do is to extract 2, B, 15 and K into 4 new columns within the same dataframe.

is that possible using pandas.regex directly?

>Solution :

With the same pattern spaces-parenthesis-dash and empty strings, this way works

df = pd.DataFrame(data={'data': ['2 (B) - 15 (K)', '']})
print(df['data'].str.extract('(\d*).\((.)\).-.(\d*).\((.)\)'))
#      0    1    2    3
# 0    2    B   15    K
# 1  NaN  NaN  NaN  NaN