["python","pandas"]
How to drop a list of rows from Pandas dataframe?

I have a dataframe df : >>> df sales discount net_sales cogs STK_ID RPT_Date 600141 20060331 2.709 NaN 2.709 2.245 20060630 6.590 NaN 6.590 5.291 20060930 10.103 NaN 10.103 7.981 20061231 15.915 NaN 15.915 12.686 20070331 3.196 NaN 3.196 2.710 20070630 7.907 NaN 7.907 6.459 Then I want to drop rows with certain sequence numbers which indicated in a list, suppose here is [1,2,4], then left: sales discount net_sales cogs STK_ID RPT_Date 600141 20060331 2.709 NaN 2.709 2.245 20061231 15.915 NaN 15.915 12.686 20070630 7.907 NaN 7.907 6.459 How or what function can do that ?
Use DataFrame.drop and pass it a Series of index labels: In [65]: df Out[65]: one two one 1 4 two 2 3 three 3 2 four 4 1 In [66]: df.drop(df.index[[1,3]]) Out[66]: one two one 1 4 three 3 2