从数据框中的字符串中删除字符

Question

I have a dataframe, one column of which is filled with entries like this:

2017-03-01T09:30:00.436
2017-03-01T09:30:00.444
...

Is there a way to convert the entire column into datetime format?

So far I have tried using

str.replace('T',' ') over iterrows()

as well as slicing methods but neither seems to work. Any help will be greatly appreciated. Thanks!

Answer 1

Use regex=True for replace substrings:

df['col'] = df['col'].replace('T', ' ', regex=True)

But maybe need only to_datetime :

df = pd.DataFrame({'col':['2017-03-01T09:30:00.436','2017-03-01T09:30:00.444']})

df['col'] = pd.to_datetime(df['col'])
print (df['col'])
0   2017-03-01 09:30:00.436
1   2017-03-01 09:30:00.444
Name: col, dtype: datetime64[ns]

Answer 2

to_datetime()应该可以将其转换为日期时间格式