Pandas long to wide reshape, by two variables

I have data in long format and am trying to reshape to wide, but there doesn't seem to be a straightforward way to do this using melt/stack/unstack:

Salesman  Height   product      price
  Knut      6        bat          5
  Knut      6        ball         1
  Knut      6        wand         3
  Steve     5        pen          2

Becomes:

Salesman  Height    product_1  price_1  product_2 price_2 product_3 price_3  
  Knut      6        bat          5       ball      1        wand      3
  Steve     5        pen          2        NA       NA        NA       NA

I think Stata can do something like this with the reshape command.

Here's another solution more fleshed out, taken from Chris Albon's site.

Create "long" dataframe

raw_data = {
    'patient': [1, 1, 1, 2, 2],
    'obs': [1, 2, 3, 1, 2],
    'treatment': [0, 1, 0, 1, 0],
    'score': [6252, 24243, 2345, 2342, 23525]}

df = pd.DataFrame(raw_data, columns=['patient', 'obs', 'treatment', 'score'])

   patient  obs  treatment  score
0        1    1          0   6252
1        1    2          1  24243
2        1    3          0   2345
3        2    1          1   2342
4        2    2          0  23525

Make a "wide" data

df.pivot(index='patient', columns='obs', values='score')

obs           1        2       3
patient
1        6252.0  24243.0  2345.0
2        2342.0  23525.0     NaN