Reshape MultiIndex dataframe to tabular format

Question

Given a sample MultiIndex:

idx = pd.MultiIndex.from_product([[0, 1, 2], [\'a\', \'b\', \'c\', \'d\']])    
df = pd.DataFrame({\'value\' : np.arange(12)}, ind         


        

Answer 1

Another alternative, which you should think of when using stack/unstack (though unstack is clearly better in this case!) is pivot_table:

In [11]: df.pivot_table(values="value", index=df.index.get_level_values(0), columns=df.index.get_level_values(1))
Out[11]:
   a  b   c   d
0  0  1   2   3
1  4  5   6   7
2  8  9  10  11