You can use the regular expression:
import pandas as pd
import re
dataset = pd.DataFrame([{'DATA': 'By:Chen TX (Chen Tianxu)[ 1 ] ; Tribbitt MA (Tribbitt Mark A.)[ 2 ] ; Yang Y (Yang Yi)[ 3 ] ; Li XM (Li Xiaomei)[ 4 ]'}])
print(dataset)
Dataframe is:
DATA
0 By:Chen TX (Chen Tianxu)[ 1 ] ; Tribbitt MA (Tribbitt Mark A.)[ 2 ] ; Yang Y (Yang Yi)[ 3 ] ; Li XM (Li Xiaomei)[ 4 ]
Then, using regular expression with lambda function, such that you extract names and save it to different column named names:
# regular expression from: https://stackoverflow.com/a/31343831/5916727
dataset['names'] = dataset['DATA'].apply(lambda x: re.findall('\((.*?)\)',x))
print(dataset['names'])
Output of names column would be:
0 [Chen Tianxu, Tribbitt Mark A., Yang Yi, Li Xiaomei]