Make a proper data frame from a pandas crosstab output

I have a multi-indexed output after pandas crosstab function which is shown below

sports        cricket      football      tennis
nationality   
IND           180          18            1     
UK            10           30            10
US            5            30            65

From the above, I would like to prepare below df.

Expected output:

nationality   cricket      football      tennis
IND           180          18            1     
UK            10           30            10
US            5            30            65

I tried the below code which is giving the wrong data frame.

df_tab.reset_index().iloc[:, 1:]


sports   cricket      football      tennis
IND      180          18            1     
UK       10           30            10
US       5            30            65

>Solution :

If need also index and columns names together, first column is index, all another are columns (but looks same):

df = df_tab.rename_axis(index = None, columns= df_tab.index.name)
print (df)
nationality  cricket  football  tennis
IND              180        18       1
UK                10        30      10
US                 5        30      65

print (df.index)
Index(['IND', 'UK', 'US'], dtype='object')

If need print DataFrame without index:

print (df_tab.reset_index().to_string(index=False))
nationality  cricket  football  tennis
        IND      180        18       1
         UK       10        30      10
         US        5        30      65

EDIT: In DataFrame is always necessary index, so if need column from nationality use:

df = df_tab.reset_index().rename_axis(columns = None)