pivot table in pandas with a subtraction function on all possible combinations

I have a dataframe that looks something like

Strike. Strike2 Price
15000.  15000.  100
15100.  15100.  150
15200.  15200.  170

I want to create a matrix like df such that the output looks like

Strike. 15000.  15100.  15200.
15000.   0.      50.     120
15100.  -50      0.      20
15200.  -170.    -20.    0 

Its essentially looking to compute the difference in prices at all strikevalues.
Can you help how i can achieve this efficiently please.

I think i need to use aggfunc, but somehow not getting the desired result

>Solution :

You can’t use pivot_table directly, you should use numpy broadcasting:

a = df['Price'].to_numpy()
out = pd.DataFrame(a-a[:, None], columns=df['Strike2'], index=df['Strike.'])

Output:

Strike2  15000.0  15100.0  15200.0
Strike.                           
15000.0        0       50       70
15100.0      -50        0       20
15200.0      -70      -20        0