>>> df
   row  col  grumpiness
0    5    0    0.846412
1    0    1    0.703981
2    3    1    0.212358
3    0    2    0.101585
4    5    1    0.424694
5    5    2    0.473286

>>> df.pivot_table('grumpiness', 'row', 'col', fill_value=0)
col         0         1         2
row                              
0    0.000000  0.703981  0.101585
3    0.000000  0.212358  0.000000
5    0.846412  0.424694  0.473286