import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display,Math
display(Math('me^{ik}'))
nvects = 200
ms = np.random.rand(nvects)
ks = np.random.rand(nvects)*2*np.pi
for i in range(0,nvects):
r = np.random.rand()
if r<.4:
clr = [1,.2,.7]
elif r>.4 and r<.8:
clr = [.7,.2,1]
else:
clr = [0,1,0]
plt.polar([0,ks[i]],[0,ms[i]],color=clr)
plt.axis('off')
plt.show()