采用:

#split values by comma or whitespace
df['status'] = df['status'].str.split(',')
df['F_nom'] = df['F_nom'].str.split(',')
info = df.pop('info').str.split()
#select values by indexing
df['info'] = info.str[1::2]
df['type_info'] = info.str[2::2]
#reshape to Series
s = df.set_index(['Time','Delta']).stack()
#create new DataFrame and reshape to expected output
df1 = (pd.DataFrame(s.values.tolist(), index=s.index)
.stack()
.unstack(2)
.reset_index(level=2, drop=True)
.reset_index())
print (df1)
Time Delta status F_nom info type_info
0 0.1998 20.50 IN TIME 19708 SD#5 W/Z
1 0.1998 20.50 IN TIME 19708 SD#6 X/Y
2 0.3983 19.97 LATE 11206 SD#4 A/B
3 0.3983 19.97 IN TIME 18054 SD#1 C/D

另一个解决方案:

df['status'] = df['status'].str.split(',')
df['F_nom'] = df['F_nom'].str.split(',')
info = df.pop('info').str.split()
df['info'] = info.str[1::2]
df['type_info'] = info.str[2::2]
from itertools import chain
lens = df['status'].str.len()
df = pd.DataFrame({
'Time' : df['Time'].values.repeat(lens),
'status' : list(chain.from_iterable(df['status'].tolist())),
'F_nom' : list(chain.from_iterable(df['F_nom'].tolist())),
'info' : list(chain.from_iterable(df['info'].tolist())),
'Delta' : df['Delta'].values.repeat(lens),
'type_info' : list(chain.from_iterable(df['type_info'].tolist())),
})
print (df)
Time status F_nom info Delta type_info
0 0.1998 IN TIME 19708 SD#5 20.50 W/Z
1 0.1998 IN TIME 19708 SD#6 20.50 X/Y
2 0.3983 LATE 11206 SD#4 19.97 A/B
3 0.3983 IN TIME 18054 SD#1 19.97 C/D