How do I properly set the Datetimeindex for a Pandas datetime object in a dataframe

Question

I have a pandas dataframe       lat         lng         alt days              date        time 0   40 003834   116 321462  211 39745 175405      2008-10-24  04 12 35 1   40 003783   116 321431  201 39745 175463  2008-10-24      04 12 40 2   40 003690   116 321429  203 39745 175521      2008-10-24      04 12 45 3   40 003589   116 321427  194 39745 175579      2008-10-24      04 12 50 4   40 003522   116 321412  190 39745 175637      2008-10-24      04 12 55 5   40 003509   116 321484  188 39745 175694      2008-10-24      04 13 00   For which I am trying to convert the df  date   and df  time   columns into a datetime   I can do   df  Datetime     pd to datetime df  date   df  time    df   df set index   Datetime    del df  date   del df  time     And I get                       lat         lng         alt days Datetime                             2008-10-2404 12 35  40 003834   116 321462  211 39745 175405     2008-10-2404 12 40  40 003783   116 321431  201 39745 175463 2008-10-2404 12 45  40 003690   116 321429  203 39745 175521     2008-10-2404 12 50  40 003589   116 321427  194 39745 175579     2008-10-2404 12 55  40 003522   116 321412  190 39745 175637   But then if I try   df between time time 1  time 22 59 59    lng   std     I get an error -  TypeError  Index must be DatetimeIndex   So  I ve also tried setting the DatetimeIndex   df  Datetime     pd to datetime df  date   df  time     df   df set index   Datetime    df   df set index pd DatetimeIndex df  Datetime     del df  date   del df  time     And this throws an error also -  DateParseError  unknown string format   How do I create the datetime column and DatetimeIndex correctly so that df between time   works right

User · Answer

You are not creating datetime index properly   format     Y- m- d  H  M  S  df  Datetime     pd to datetime df  date           df  time    format format  df   df set index pd DatetimeIndex df  Datetime

User · Answer

To simplify Kirubaharan s answer a bit  df  Datetime     pd to datetime df  date           df  time    df   df set index  Datetime    And to get rid of unwanted columns  as OP did but did not specify per se in the question   df   df drop   date   time    axis 1

[python] How do I properly set the Datetimeindex for a Pandas datetime object in a dataframe?

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