Python Pandas add dummy columns to the original dataframe

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I have a dataframe looks like this:

             JOINED_CO GENDER    EXEC_FULLNAME  GVKEY  YEAR  CONAME  BECAMECEO  REJOIN   LEFTOFC    LEFTCO  RELEFT    REASON  PAGE
CO_PER_ROL                                                                                                                                     
5622              NaN   MALE   Ira A. Eichner   1004  1992  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1993  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1994  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1995  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1996  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1997  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5622              NaN   MALE   Ira A. Eichner   1004  1998  AAR CORP   19550101     NaN  19961001  19990531     NaN  RESIGNED    79
5623              NaN   MALE  David P. Storch   1004  1992  AAR CORP   19961009     NaN       NaN       NaN     NaN       NaN    57
5623              NaN   MALE  David P. Storch   1004  1993  AAR CORP   19961009     NaN       NaN       NaN     NaN       NaN    57
5623              NaN   MALE  David P. Storch   1004  1994  AAR CORP   19961009     NaN       NaN       NaN     NaN       NaN    57
5623              NaN   MALE  David P. Storch   1004  1995  AAR CORP   19961009     NaN       NaN       NaN     NaN       NaN    57
5623              NaN   MALE  David P. Storch   1004  1996  AAR CORP   19961009     NaN       NaN       NaN     NaN       NaN    57

For the YEAR value, I like to add year columns (1993,1994...,2009) to the original dataframe, If the value in YEAR is 1992, then the value in the 1992 column should be 1 otherwise 0.

I used a very stupid for loop, but it seems to run forever as I have a large dataset. Could anyone help me with it, thanks a lot!

asked 15 secs ago

Brad

8