熊猫，从read_csv合并日期和时间列

Question

我有这个.csv文件：

"Date","Time","Open","High","Low","Close","Up","Down"
03/20/2018,17:01,2723.25,2724.50,2723.25,2723.75,372,345
03/20/2018,17:02,2723.75,2724.25,2723.50,2724.00,127,49
03/20/2018,17:03,2724.00,2724.00,2723.75,2723.75,55,11
03/20/2018,17:04,2724.00,2724.50,2724.00,2724.00,105,25

我可以这样导入Pandas：

df = pd.read_csv("C:/file.TXT", parse_dates=['Date', 'Time'], sep=",")

我现在想添加一个Datetime列以合并Date和Time列。

可以在导入时完成吗？如果没有，该如何执行而不必遍历每一行？

在伪代码中，我需要这样的东西：

df['Datetime'] = # datetime(date=df['Date'], time=df['Time'])