如何在同一数据帧（Python，Pandas）中合并1列中的2列？

Question

I'm following tutorial of Wes McKinney on using pandas/python for trading backtesting ( http://youtu.be/6h0IVlp_1l8 ).
After pd.read_csv(...) he's using 'dt' (datetime) column as index of dataframe.

df.index = pd.to_datetime(df.pop('dt'))

However, my data has 2 separate columns, 'Date[G]' and 'Time[G]' and the data inside is something like 04-JAN-2013,00:00:00.000 (comma-separated).

How do i modify that line of code in order to do the same? Ie merge two columns within one data frame, and then delete it. Or is there a way to do that during read_csv itself?

Thanks for all answers.

Answer 1

You should be able to concat two columns using apply() and then use to_datetime(). To remove columns from dataframe use drop() or just select columns you need:

df['dt'] = pd.to_datetime(df.apply(lambda x: x['Date[G]'] + ' ' + x['Time[G]'], 1))


df = df.drop(['Date[G]', 'Time[G]'], 1)
# ..or
# df = df[['dt', ...]]

df.set_index('dt', inplace = True)