python - Why doesn't the pd.Series replicate the time column? -

i trying use pd.series replicate time column, gave me different time, why , how can use pd.series function replicate time column in pandas?

import numpy np import pandas pd pandas import series, dataframe, panel  # data data = pd.read_csv('somedata.csv', header=0, encoding='utf-8', low_memory=false) df = dataframe(data) df = df.sort(['time'], ascending=true)  # sort time  # create new df column using df.time df['time2'] = pd.series(pd.to_datetime(date) date in df['time']) df['time3'] = df['time']  print df.head()                   time 567     1/1/2015 0:12    566     1/1/2015 0:14    565     1/1/2015 0:28    564     1/1/2015 0:30    563     1/1/2015 0:42                 time2   567         2015-01-12 21:43:00    566         2015-01-12 21:43:00    565         2015-01-12 21:43:00    564         2015-01-12 21:43:00    563         2015-01-12 21:43:00                  time3   567  1/1/2015 0:12   566  1/1/2015 0:14   565  1/1/2015 0:28   564  1/1/2015 0:30   563  1/1/2015 0:42