Element-wise division between two dataframes with tickers and Date index

I have two dataframes with Date as index,
df1 as follows:

ticker          AAPL       AMD      BIDU     GOOGL      IXIC      MSFT   
Date                                                                     
2011-06-29  0.017664  0.024379  0.029592  0.016947  0.010632  0.014888   
2011-07-14  0.011054  0.023751  0.020682  0.018319  0.011720  0.008974   
2011-07-28  0.015654  0.061570  0.027052  0.040214  0.013136  0.018023   
2011-08-11  0.033560  0.051619  0.050874  0.033624  0.039744  0.033243   
2011-08-25  0.023524  0.037700  0.039888  0.026866  0.025491  0.017059   
...              ...       ...       ...       ...       ...       ...   
2021-03-25  0.019135  0.022755  0.058591  0.013458  0.013935  0.014096   
2021-04-09  0.011087  0.015793  0.027506  0.014799  0.008590  0.014066   
2021-04-23  0.015193  0.035461  0.021222  0.011206  0.010541  0.010495   
2021-05-07  0.013870  0.019531  0.009501  0.014049  0.008334  0.012325   
2021-05-21  0.017664  0.022013  0.028316  0.017536  0.016039  0.016377   

And df2 as follows:

ticker               AAPL       AMD      BIDU     GOOGL      IXIC      MSFT   
Date                                                                          
2011-06-29       0.005953  0.010331  0.008564  0.010089  0.000288  0.004542   
2011-07-14       0.006609  0.000628  0.008910  0.001372  0.001088  0.005914   
2011-07-28       0.004600  0.037819  0.006369  0.021895  0.001416  0.009049   
2011-08-11       0.017906  0.009951  0.023822  0.006591  0.026608  0.015220   
2011-08-25       0.010036  0.013919  0.010986  0.006758  0.014252  0.016183   
...                   ...       ...       ...       ...       ...       ...   
2021-03-25       0.010546  0.017421  0.015649  0.010738  0.009917  0.005328   
2021-04-09       0.008049  0.006963  0.031085  0.001341  0.005345  0.000031   
2021-04-23       0.004107  0.019669  0.006285  0.003594  0.001951  0.003571   
2021-05-07       0.001323  0.015930  0.011720  0.002843  0.002206  0.001831   
2021-05-21       0.003793  0.002482  0.018815  0.003487  0.007704  0.004052   

I checked that both dataframes have the same number of rows and columns, and no NaN. ie, for both dataframes, df.isnull().values.any() returns False.

And I would like to calculate the element-wise division between those two division, ie, for the first element, I want the value of 0.017664/0.005953.
I've seen the post here: What does .div do in Pandas (Python)
So I simply try df1.div(df2) which returns all NaN values, but doubles the number of columns.

Thanks for @Rafa's comment, I checked with the columns, but

df1.columns

returns

MultiIndex([('Close',  'AAPL'),
            ('Close',   'AMD'),
            ('Close',  'BIDU'),
            ('Close', 'GOOGL'),
            ('Close',  'IXIC'),
            ('Close',  'MSFT'),
           names=[None, 'ticker'])

So I checked with the index.

My

df1.index

returns

Index(['2011-06-29', '2011-07-14', '2011-07-28', '2011-08-11', '2011-08-25',
       '2011-09-09', '2011-09-23', '2011-10-07', '2011-10-21', '2011-11-04',
       ...
       '2021-01-12', '2021-01-27', '2021-02-10', '2021-02-25', '2021-03-11',
       '2021-03-25', '2021-04-09', '2021-04-23', '2021-05-07', '2021-05-21'],
      dtype='object', name='Date', length=250)

but if tried

df1.index.get_level_values(1)

it says

IndexError: Too many levels: Index has only 1 level, not 2

Now I am confused with whether my df1 is a multiindex dataframe or not?

And how I should proceed? Thanks for help.