Python: remove all rows from a dataframe where the date is over 2 years ago

Question

EDIT - Answer as below with the extra code new_df = df_hist[msk]

I'm trying to remove all rows from a DataFrame where the date ('RaceDate') is over 2 years ago. I convert the 'RaceDate' using pd.to_datetime - this gives the format e.g. 2018-09-01. I use datetime.datetime.now().date() and this gives the format datetime.date(2022, 2, 10)

I can't work out how to check the difference is over two years as the code gives me Key error. Any help would be most welcome.

d2 = datetime.datetime.now().date()
df_hist['RaceDate'] = pd.to_datetime(df_hist['RaceDate'])   

if  df_hist.loc[df_hist['RaceDate']] - d2 > 730:
    df_hist.loc[df_hist['RaceDate']] = ""

Sample data:

Jockey  Code    Course  RaceDate    Ran FPos    TotalBtn
Harry Burns AW  Chelmsford City 01-Sep-18   9   4   4.5
Harry Burns AW  Newcastle   01-Oct-21   14  6   4.75
Harry Burns AW  Kempton 01-Nov-21   11  4   4.25
Harry Burns AW  Southwell   01-Jan-22   12  4   3.75
Harry Burns AW  Wolverhampton   01-Feb-22   12  5   4.75
Christian Howarth   AW  Kempton 01-Dec-21   14  5   3.5
Harry Davies    AW                  
Jonathan Fisher AW  Southwell   01-Dec-17   14  9   10.5
Jonathan Fisher AW  Chelmsford City 01-Dec-17   10  8   4.82
Jonathan Fisher AW  Southwell   01-Jan-22   12  5   7.75
Jonathan Fisher AW  Southwell   01-Jan-22   14  4   3
Jonathan Fisher AW  Wolverhampton   01-Feb-22   7   4   2
Jonathan Fisher AW  Wolverhampton   01-Feb-22   11  8   3