Compare two dataframe in Pandas where Column Names are not present

Question

I have two dataframe:

df1

   Name Emp ID  Total Salary     A      B     C     D     E
0  Mike   A001         25000  5000  15000  3000  4500  2000

df2(Here column names cannot be assigned )

[5000, 15000, 3000, 2000]

How can I compare both data frame and print the matching rows as below:

Result:

A - 5000    B - 15000    C - 3000    E - 2000

Answer 1

use the numpy array on df2

df1[['A', 'B', 'C', 'E']] == df2.values

      A     B     C     E
0  True  True  True  True

Answer 2

try this.

df2.columns=['A','B','C','E']
df1[(df1[df2.columns]==df2.values).columns]