ValueError: 时间数据“00:01:29:06”与格式“%d:%H:%M:%S”不匹配

Question

I need to convert dataframe in columns duration to datetime format to anlysis average or max/min but it now work need some help thanks. dataframe

df['duration'] =pd.to_datetime(df['duration'], format='%d:%H:%M:%S')

Answer 1

The reason of the error is that the %d format only accepts values between 01 and 31 (since it stands for "day of the month"). 00 is then not valid.

The best workaround I could figure (someone might suggest something better) is to use regular expression to convert the strings contained in the duration column into some valid string as in the following example:

df['duration']=pd.to_timedelta(df.duration.str.replace(r"(?P<day>\d+):", r'\g<day> days ', 1))

I've no idea about the time complexity of the above example (in case of have a big table to convert).