使用格式将字符串转换为日期时间

Question

I have a column in my dataframe that looks like this, but the current dtype is object. This dataframe is imported from a csv where there were no column heads and it didn't recognize the type when it imported.

time
2019-05-29 12:52:35  
2019-05-29 12:50:41   
2019-05-29 12:51:39  
2019-05-29 12:52:32 
2019-05-29 12:52:18

I've done datetime conversions before but I can't figure the format out. The documentation and other questions about this don't really help me, to the point I've been trial and erroring but no success.

this is the code i use now:

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

which gives me this error:

ValueError: time data 0 doesn't match format specified

I've also tried:

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

but then I get this error:

time data '2019-05-29 12:52:35' does not match format '%Y%m%d%H:%M:%S' (match)

I don't understand why I get different errors or what I am doing wrong.

Answer 1

您可以尝试两件事：

1. pd.to_datetime(df['time'], dayfirst=True)
2. pd.to_datetime(df['time'], format='%Y-%m-%d %H:%M:%S', errors='coerce')