Filter dataframe rows if value in column is in a set list of values

I have a Python pandas DataFrame `rpt`: ``` rpt <class 'pandas.core.frame.DataFrame'> MultiIndex: 47518 entries, ('000002', '20120331') to ('603366', '20091231') Data columns: STK_ID 47518 non-null values STK_Name 47518 non-null values RPT_Date 47518 non-null values sales 47518 non-null values ``` I can filter the rows whose stock id is `'600809'` like this: `rpt[rpt['STK_ID'] == '600809']` ``` <class 'pandas.core.frame.DataFrame'> MultiIndex: 25 entries, ('600809', '20120331') to ('600809', '20060331') Data columns: STK_ID 25 non-null values STK_Name 25 non-null values RPT_Date 25 non-null values sales 25 non-null values ``` and I want to get all the rows of some stocks together, such as `['600809','600141','600329']`. That means I want a syntax like this: ``` stk_list = ['600809','600141','600329'] rst = rpt[rpt['STK_ID'] in stk_list] # this does not works in pandas ``` Since pandas not accept above command, how to achieve the target?