Pandas split on regex

Question

I have pandas df with a column containing comma-delimited characteristics like so:

Shot - Wounded/Injured, Shot - Dead (murder, accidental, suicide), Suicide         


        

Answer 1

I would first create the data and then feed it into a dataframe, like so

import pandas as pd, re

junk = """Shot - Wounded/Injured, Shot - Dead (murder, accidental, suicide), Suicide - Attempt, Murder/Suicide, Attempted Murder/Suicide (one variable unsuccessful), Institution/Group/Business, Mass Murder (4+ deceased victims excluding the subject/suspect/perpetrator , one location), Mass Shooting (4+ victims injured or killed excluding the subject/suspect"""

rx = re.compile(r'\([^()]+\)|,(\s+)')

data = [x 
        for nugget in rx.split(junk) if nugget
        for x in [nugget.strip()] if x]

df = pd.DataFrame({'incident_characteristics': data})
print(df)

This yields

                            incident_characteristics
0                             Shot - Wounded/Injured
1                                        Shot - Dead
2                                  Suicide - Attempt
3                                     Murder/Suicide
4                           Attempted Murder/Suicide
5                         Institution/Group/Business
6                                        Mass Murder
7  Mass Shooting (4+ victims injured or killed ex...

Additionally, this assumes that commas in parentheses should be ignored when splitting.