Convert Pandas Column to DateTime

Question

I have one field in a pandas DataFrame that was imported as string format   It should be a datetime variable  How do I convert it to a datetime column and then filter based on date   Example    DataFrame Name  raw data     Column Name  Mycol     Value Format in Column   05SEP2014 00 00 00 000

User · Accepted Answer

Use the to datetime function  specifying a format to match your data   raw data  Mycol      pd to datetime raw data  Mycol    format   d b Y  H  M  S  f

User · Answer

If you have more than one column to be converted you can do the following   df   col1    col2    col3      df   col1    col2    col3    apply pd to datetime

User · Answer

You can use the DataFrame method  apply   to operate on the values in Mycol    gt  gt  gt  df   pd DataFrame   05SEP2014 00 00 00 000   columns   Mycol     gt  gt  gt  df                     Mycol 0  05SEP2014 00 00 00 000  gt  gt  gt  import datetime as dt  gt  gt  gt  df  Mycol     df  Mycol   apply lambda x                                       dt datetime strptime x   d b Y  H  M  S  f     gt  gt  gt  df        Mycol 0 2014-09-05

User · Answer

Use the pandas to datetime function to parse the column as DateTime  Also  by using infer datetime format True  it will automatically detect the format and convert the mentioned column to DateTime   import pandas as pd raw data  Mycol      pd to datetime raw data  Mycol    infer datetime format True

User · Answer

raw data  Mycol      pd to datetime raw data  Mycol    format   d b Y  H  M  S  f     works  however it results in a Python warning of  A value is trying to be set on a copy of a slice from a DataFrame  Try using  loc row indexer col indexer    value instead  I would guess this is due to some chaining indexing

[python] Convert Pandas Column to DateTime

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