Here is the basic python script that controlled the plot.

import Leap, sys import numpy as np import matplotlib.pyplot as plt import matplotlib from scipy import special from mpl_toolkits.mplot3d import axes3d import numpy as np t1 = np.linspace(-10,-2,num=9) t = np.append(t1,np.linspace(-1,1,num=9)) t = np.append(t,np.linspace(2,10,num=9)) T = np.append(t,np.linspace(20,100,num=9)) L = np.linspace(400,800) l,t = np.meshgrid(L,T) A = np.exp(-(l-650)**2/(2*50**2))+0.3*np.exp(-(l-550)**2/(2*50**2)) A1 = 0.01 T1 = 20.0 mu = 0.0 w = 0.2 y0 = 0 d = (w/(2*np.sqrt(2*np.log(2)))) K = A1*1/2*np.exp(-t/T1)*np.exp((mu+(d**2)/(2*T1))/T1)*(1+special.erf((t-(mu+(d**2)/T1))/(np.sqrt(2)*d))) + y0 Psi = K*A fig = plt.figure(figsize=(16,10)) ax = fig.add_subplot(111, projection='3d') ax.plot_wireframe(l, t, Psi, linewidth=0.5) ax.set_zlim(0.0,0.012) plt.ion() plt.show()Then using the Leap motion listener every new frame I collected the yaw and height, rotated the plot and then redraw it.

y_height = hand.palm_position[1] direction = hand.direction rot = y_height-180 ax.view_init(rot, direction.yaw * Leap.RAD_TO_DEG*3) plt.draw()

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