Removing dynamic rows of a Dataframe

I have a named column maturity_dt

populated with objects datetime

in my dataframe df

and I am just trying to select only rows in column with maturity_dt

in August or February. Thus, I am trying to remove all rows that do not match those months dynamically using the code below. However, I am getting the error IndexError: index 109235 is out of bounds for axis 0 with size 44681

despite using it reset_index

, so I am wondering if there is another way to dynamically delete rows.

for (i, row) in df.iterrows():
        dateold = datetime.datetime.strptime(row['maturity_dt'], '%Y-%m-%d %H:%M:%S.%f')
        datenew = dateold.date()
        date = str(datenew).split('.')[0]
        h,m,s = re.split('-', date)
        if m != 2 and m != 8:  # If the month is not Feb or August
            df.drop(df.index[i])
            df = df.reset_index(drop=True)

      

        
        
        
      

    

thank