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

An easier solution is

employee.pivot_table(index= ‘Title’, values= “Salary”, aggfunc= [np.mean, np.median, min, max, np.std], fill_value=0)

In this case, for the salary column we are using different aggregate functions