NumPy: sorting 3D array but keeping 2nd dimension assigned to first

Question

I have an array that represents poker cards held by players. Each player holds 6 cards and the cards have a value of 1-12 and have a corresponding suit of 1-4.

The f

Answer 1

Are you sorting the values only to see wich one has the highest value?? Because in this case why not use np.max()?:

deck=np.array([[[  6.,   2.],
                [ 10.,   1.],
                [  5.,   1.],
                [  9.,   2.],
                [  4.,   1.],
                [  3.,   2.],
                [ 11.,   2.]],
            [[  7.,   2.],
                [ 8.,   1.],
                [  1.,   1.],
                [  9.,   2.],
                [  4.,   1.],
                [  3.,   2.],
                [ 12.,   2.]]])

np.max(deck)
Out[4]: 12.0

np.max(deck[0])
Out[5]: 11.0