Multiply two data frames with similar index in python pandas -

i have 2 data frames , want multiply them index. best way this? note: column names different.

df1 = pd.dataframe([(1,2,3),(3,4,5),(5,6,7)], columns=['a','b','d'], index = ['a', 'b','c']) df1     b  d  1  2  3 b  3  4  5 c  5  6  7  df2 = pd.dataframe([(10,20,30)], columns=['a','b','c'],index = ['ss']) df2 = df2.transpose() df2    ss  10 b  20 c  30 

output dataframe:

       b   d   10  20  30 b   60  80 100 c  150 180 210 

call mul , convert series list , pass axis=0, converting list ignore alignment errors index/column names:

in [74]:  df1.mul(list(df2['ss']), axis=0) out[74]:         b    d   10   20   30 b   60   80  100 c  150  180  210 

edit

no need convert list access series directly:

in [75]:  df1.mul(df2['ss'], axis=0) out[75]:         b    d   10   20   30 b   60   80  100 c  150  180  210