search value by row column

I have a dataframe(df1). each cell means row, column indexes:

	c1	c2	c3
0	1,1	2,1	3,2
1	1,1	2,2	3,1

How to perform search by row, column within the following dataframe(df2)

	c1	c2	c3	c4
0	1	2	10	x
1	3	4	20	y
2	5	6	30	x

for example 1,1 of df1 is 1, 2,1 is 3, 3,2 is 6.

Final output for 3,2 should be: 180, x: (6(which is df2 3rd row, 2nd column)*30(3rd row, 3rd column),x = 180, x)

cell
dataframe
exe
frame
lambda
orm
pandas
perf
rename

>Solution :

First set index and columns values to range starting by 1, so possible select by splitted values converted to integers by DataFrame.loc elementwise by DataFrame.applymap:

df22 = df2.rename(index = lambda x: x + 1)
          .set_axis(np.arange(1, len(df2.columns) + 1), inplace=False, axis=1)
f = lambda x: df22.loc[tuple(map(int, x.split(',')))]
df = df1.applymap(f)
print (df)
   c1  c2  c3
0   1   3   6
1   1   4   5