I am trying to correct data in a DataFrame and am facing a value replacement problem. The original value comes in the format "31 ^" or "54_", I need it to come in the format Integer for example 31.54
frame = pd.DataFrame({'first': [123, '32^'], 'second': [23,'13_']})
frame['first'] = frame['first'].str.extract(r'([0-9] )', expand=False)
first second
0 NaN 23
1 32 13_
CodePudding user response:
Use Series.str.extract
with fillna
:
In [679]: frame['first'] = frame['first'].str.extract('(\d )').fillna(frame['first'])
In [680]: frame['second'] = frame['second'].str.extract('(\d )').fillna(frame['second'])
In [681]: frame
Out[681]:
first second
0 123 23
1 32 13