Error while concatenating date and time columns in pandas-CodePudding

I have a data frame with the following properties:

    Column   Non-Null Count   Dtype 
---  ------   --------------   ----- 
 0   Date     226611 non-null  object

 1   Time     226611 non-null  object

 2   Code     226611 non-null  object

 3   Message  226611 non-null  object

Date column has values as format : 2021-11-28 00:00:00 and Time column has values as format: 08:15:12.476000. I am trying to create a DateTime column with the following code (basically tried most of the available pandas' methods like to_datetime, to_timestampe, etc.):

df["DateTime"] = pd.to_datetime(df["Date"] " " df["Time"])

but I keep getting the following error: unsupported operand type(s) for : 'datetime.datetime' and 'str'. Can someone point out what am I missing here? The expected output would be (restricting milliseconds to 2 digits only):

     Date                  Time               DateTime 

 0   2021-11-28 00:00:00   08:15:12.476000    2021-11-28 08:15:12.47

CodePudding user response：

Try pandas.Series.dt.strftime

df["DateTime"] = pd.to_datetime(df["Date"].dt.strftime("%Y-%m-%d")   " "   df["Time"])

CodePudding user response：

try concatenating by datetime parts

df["DateTime"] = pd.to_datetime(str(pd.to_datetime(df["Date"]).dt.date) " " str(pd.to_datetime(df["Time"]).dt.time))