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?

Use the isin method:

rpt[rpt['STK_ID'].isin(stk_list)]