遍历2个不同的Excel工作表中的列

Question

I have an excel file with 2 tab sheets(A and B). Each tab sheets has 10 columns corresponding to 10 different parameters. I need iterate through both tab sheets and multiply column 1 in tab sheet A with column 1 in tab sheet B, multiply column 2 in tab sheet A to column 2 in tab sheet b, etc.. therefore I will obtain 10 columns corresponding to the 10 operations. How to I write that in Pandas? Thanks in advance for your help

Answer 1

One of the comments had it pretty close.

dfs = pd.read_excel('test.xlsx', sheet_name = None, header=None)

dfs is now an ordered dictionary that looks like this:

OrderedDict([('a',    0  1  2
0  1  2  3
1  4  5  6), ('b',     0   1   2
0   7   8   9
1  10  11  12)])

You can get the multiplication like the comment suggests.

dfs['a'] * dfs['b']

Output:

    0   1   2
0   7  16  27
1  40  55  72