dx = 90 - (-90)
dy = 90 - (-90)
c = [dx + dx/2.0, dy+dy/2.0]
z = np.zeros((400, 400))
x = np.linspace(-90, 90, 400)
y = x.copy()
for i in range(len(x)):
    for j in range(len(y)):
        p =[x[i], y[j]]
        d = math.sqrt((p[0]-c[0])**2 + (p[1]-c[1])**2)
        t = d

        z[i][j] = lognorm.pdf(t, 1.2)




fig = plt.figure()
ax = fig.add_subplot(111, projection = '3d')
ax.plot_surface(x,y, z, cmap = 'viridis')



plt.show()
``

this is the code that i have so far, but it produces an image like the one that i have attached. this isnt what id like, the whole plane is skewed rather than just the z vlaues. any ideas as to how i can fix this? ![testing|690x355](upload://g1ZOV14IrAfHh9Qjwk4u3hXEymO.jpeg)