How to change the datetime format in pandas

Question

My dataframe has a DOB column  example format 1 1 2016  which by default gets converted to pandas dtype  object   DOB   object  Converting this to date format with df  DOB     pd to datetime df  DOB     the date gets converted to  2016-01-26 and its dtype is  DOB   datetime64 ns    Now I want to convert this date format to 01 26 2016 or in any other general date formats  How do I do it   Whatever the method I try  it always shows the date in 2016-01-26 format

User · Answer

The below code worked for me instead of the previous one - try it out    df  DOB   pd to datetime df  DOB   astype str   format   m  d  Y

User · Answer

Compared to the first answer  I will recommend to use dt strftime   first  then pd to datetime    In this way  it will still result in the datetime data type    For example   import pandas as pd  df   pd DataFrame   DOB    0   26 1 2016    1   26 1 2016     print df dtypes   df  DOB1     df  DOB   dt strftime   m  d  Y   print df dtypes   df  DOB1     pd to datetime df  DOB1    print df dtypes

User · Answer

There is a difference between  the content of a dataframe cell  a binary value  and its presentation  displaying it  for us  humans   So the question is  How to reach the appropriate presentation of my datas without changing the data   data types themselves  Here is the answer   If you use the Jupyter notebook for displaying your dataframe  or if you want to reach a presentation in the form of an HTML file  even with many prepared superfluous id and class attributes for further CSS styling     you may or you may not use them    use styling  Styling don t change data   data types of columns of your dataframe  Now I show you how to reach it in the Jupyter notebook     for a presentation in the form of HTML file see the note near the end of the question  I will suppose that your column DOB already has the type datetime64  you shown that you know how to reach it   I prepared a simple dataframe  with only one column  to show you some basic styling   Not styled     df               DOB 0  2019-07-03 1  2019-08-03 2  2019-09-03 3  2019-10-03    Styling it as mm dd yyyy     df style format   quot DOB quot   lambda t  t strftime  quot  m  d  Y quot                   DOB 0  07 03 2019 1  08 03 2019 2  09 03 2019 3  10 03 2019    Styling it as dd-mm-yyyy     df style format   quot DOB quot   lambda t  t strftime  quot  d- m- Y quot                    DOB 0  03-07-2019 1  03-08-2019 2  03-09-2019 3  03-10-2019    Be careful  The returning object is NOT a dataframe     it is an object of the class Styler  so don t assign it back to df  Don  t do this  df   df style format   quot DOB quot   lambda t  t strftime  quot  m  d  Y quot          Don  t do this    Every dataframe has its Styler object accessible by its  style property  and we changed this df style object  not the dataframe itself    Questions and Answers   Q  Why your Styler object  or an expression returning it  used as the last command in a Jupyter notebook cell displays your  styled  table  and not the Styler object itself   A  Because every Styler object has a callback method   repr html    which returns an HTML code for rendering your dataframe  as a nice HTML table   Jupyter Notebook IDE calls this method automatically to render objects which have it     Note  You don t need the Jupyter notebook for styling  i e  for nice outputting a dataframe without changing its data   data types   A Styler object has a method render    too  if you want to obtain a string with the HTML code  e g  for publishing your formatted dataframe to the Web  or simply present your table in the HTML format   df styler   df style format   quot DOB quot   lambda t  t strftime  quot  m  d  Y quot     HTML string   df styler render

User · Answer

You can try this it ll convert the date format to DD-MM-YYYY   df  DOB     pd to datetime df  DOB    dayfirst   True

User · Answer

Below is the code worked for me  And we need to be very careful for format  Below link will be definitely useful for knowing your exiting format and changing into desired format Follow strftime   and strptime   Format Codes on below link   https   docs python org 3 library datetime html strftime-and-strptime-behavior  data  date new format     pd to datetime data  date to be changed     format   b- y

User · Answer

You can use dt strftime if you need to convert datetime to other formats  but note that then dtype of column will be object  string     import pandas as pd  df   pd DataFrame   DOB    0   26 1 2016   1   26 1 2016     print  df           DOB 0  26 1 2016  1  26 1 2016  df  DOB     pd to datetime df DOB  print  df           DOB 0 2016-01-26 1 2016-01-26  df  DOB1     df  DOB   dt strftime   m  d  Y   print  df           DOB        DOB1 0 2016-01-26  01 26 2016 1 2016-01-26  01 26 2016

User · Answer

Changing the format but not changing the type   df  date     pd to datetime df  date   dt strftime   Y- m

User · Answer

Below code changes to  datetime  type and also formats in the given format string  Works well   df  DOB   pd to datetime df  DOB   dt strftime   m  d  Y

[python] How to change the datetime format in pandas

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