日本不卡在线观看,久久视频免费看,亚洲97

如下所示：

				?

									import numpy as np 

									import matplotlib.pyplot as plt

									import matplotlib.patches as mpatches

									from scipy import stats

									fig = plt.figure()

									ax = fig.add_subplot(111, xlim=(0, 10), ylim=(-4, 4))

									sx=0;sy=0;r=1.5 ; 

									circle = mpatches.Circle((sx,sy),r,ec='b',fc = 'b',alpha=0.6)

									ax.add_patch(circle)

									n = 5

									alpha = np.linspace(-np.pi/2,np.pi/2,100)

									for i in range(1,n+1):

									 a = (i+1)*2

									 b = (i+1)

									 plt.plot(a*np.cos(alpha),b*np.sin(alpha))

									 if i <= 3:

									  ax.text(a+1,0,'layer.%d'%(i-1),ha='center',va='center')

									rate = 3

									Jnum = 100

									for i in range(Jnum):

									 data = stats.poisson.rvs(mu = rate, loc = 0 , size = 1)

									 while data == 0:

									  data = stats.poisson.rvs(mu = rate, loc = 0 , size = 1)

									 data = data[0] 

									 r = np.random.random()

									 beta = (np.random.random()-0.5)*np.pi 

									 print beta

									 data += r

									 a = (data+1)*2*np.cos(beta)

									 b = (data+1)*np.sin(beta)

									 ax.scatter(a,b, c='y',edgecolors = 'y')

									xx = [3.5 , 6.8,6.8]

									yy = [-1.8,0.9,3.1]

									pp = [1.00,0.85,0.75]

									rota = [-45,0,0]

									for i in range(3):

									 plt.plot((1.5,xx[i]) , (0,yy[i]) , 'r')

									 ax.scatter(xx[i],yy[i], c='y',edgecolors = 'b')

									 ax.text(xx[i] , yy[i] , 'probability %lf'%pp[i] , ha = 'center' )

									tx = np.linspace(0,10,10)

									ty = np.linspace(-4,-4,10)

									ax.set_xticks(tx)

									ax.set_xticklabels((''))

									ax.set_yticks(ty)

									ax.set_yticklabels((''))

									#plt.axis('off')

									plt.show()