Pandas pivot table for multiple columns at once

Question

Let\'s say I have a DataFrame:

   nj  ptype  wd  wpt
0   2      1   2    1
1   3      2   1    2
2   1      1   3    1
3   2      2   3    3
4   3      1   2         


        

Answer 1

Another solution using groupby and unstack.

df2 = pd.concat([df.groupby(['ptype',e])[e].count().unstack() for e in ['nj','wd','wpt']],axis=1).fillna(0).astype(int)    
df2.columns=pd.MultiIndex.from_product([['nj','wd','wpt'],[1.0,2.0,3.0]])

df2
Out[207]: 
       nj          wd         wpt        
      1.0 2.0 3.0 1.0 2.0 3.0 1.0 2.0 3.0
ptype                                    
1       1   1   1   0   2   1   2   1   0
2       0   1   1   1   0   1   0   1   1