订购3个1d numpy数组以获得2d numpy数组

Question

I have 3 numpy array containing x, y and f(x,y) values . They are ordered one with respect to the others but completely disordered in itself. Let's say, for sake of simplicity, that `f=x+y they are

x | y | f
1 | 2 | 3
5 | 1 | 6
....

And let's suppose that I know I have all the points to fill a grid.

I would like to obtain a mesh grid or a 2d python numpy array from it.

In c I know how to do it, but I know in python "for" cycles with element substitutions are avoidable and discouraged...

Do you have any solution?

Thanks

Answer 1

Take a look a the concatenate function.

a = np.array([[x1, y1, f1]])
b = np.array([[x2, y2, f2]])
np.concatenate((a, b), axis=0)

http://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.html