You need a bit modify solution, because sometimes it return 2 and sometimes only one column:
df2 = pd.DataFrame({'STATUS':['Estimated 3:17 PM','Delayed 3:00 PM']})
df3 = df2['STATUS'].str.split(n=1, expand=True)
df3.columns = ['STATUS_ID{}'.format(x+1) for x in df3.columns]
print (df3)
STATUS_ID1 STATUS_ID2
0 Estimated 3:17 PM
1 Delayed 3:00 PM
df2 = df2.join(df3)
print (df2)
STATUS STATUS_ID1 STATUS_ID2
0 Estimated 3:17 PM Estimated 3:17 PM
1 Delayed 3:00 PM Delayed 3:00 PM
Another possible data – all data have no whitespaces and solution working too:
df2 = pd.DataFrame({'STATUS':['Canceled','Canceled']})
and solution return:
print (df2)
STATUS STATUS_ID1
0 Canceled Canceled
1 Canceled Canceled
All together:
df3 = df2['STATUS'].str.split(n=1, expand=True)
df3.columns = ['STATUS_ID{}'.format(x+1) for x in df3.columns]
df2 = df2.join(df3)