python - convert to datetime64 format with to_datetime() -


i'm trying convert date time data in pandas.to_datetime() format. not working , type of df['time'] object. wrong?

please note have attached time file.

my code

import pandas pd import numpy np datetime import datetime  f = open('time','r') lines = f.readlines()  t = [] line in lines:     time = line.split()[1][-20:]     time2 = time[:11] + ' ' +time[12:21]     t.append(time2)    df = pd.dataframe(t) df.columns = ['time'] df['time'] = pd.to_datetime(df['time'])  print df['time']    name: time, length: 16136, dtype: object

please find attach time data file here

the file time contain invalid data.

for example, line 8323 contain 8322 "5/jul/2013::8:25:18 0530", different normal lines 8321 "15/jul/2013:18:25:18 +0530".

8321 "15/jul/2013:18:25:18 +0530" 8322 "5/jul/2013::8:25:18  0530"

for normal line, time2 become 15/jul/2013 18:25:18, invalid line "5/jul/2013::8:25:18

15/jul/2013 18:25:18 "5/jul/2013::8:25:18

which cause lines parsed datetime, , lines not; data coerced object (to contain both datetime , string).

>>> pd.series(pd.to_datetime(['15/jul/2013 18:25:18', '15/jul/2013 18:25:18'])) 0   2013-07-15 18:25:18 1   2013-07-15 18:25:18 dtype: datetime64[ns]  >>> pd.series(pd.to_datetime(['15/jul/2013 18:25:18', '*5/jul/2013 18:25:18'])) 0    15/jul/2013 18:25:18 1    *5/jul/2013 18:25:18 dtype: object

if take first 5 data (which has correct date format) files, expected.

... df = pd.dataframe(t[:5]) df.columns = ['time'] df['time'] = pd.to_datetime(df['time'])

above code yield:

0   2013-07-15 00:00:12 1   2013-07-15 00:00:18 2   2013-07-15 00:00:23 3   2013-07-15 00:00:27 4   2013-07-15 00:00:29 name: time, dtype: datetime64[ns]

update

added small example show cause of dtype of object, not datetime.


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