'''
'''
from numpy import *
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
n = 1000 #number of points to create
xcord = zeros((n))
print(xcord)#[0. 0. ]
ycord = zeros((n))
markers =[]
colors =[]
fw = open('testSet.txt','w')
for i in range(n):
[r0,r1] = random.standard_normal(2)#标准差
myClass = random.uniform(0,1)
if (myClass <= 0.16):
fFlyer = random.uniform(22000, 60000)
tats = 3 + 1.6*r1
markers.append(20)
colors.append(2.1)
classLabel = 1 #'didntLike'
print ("%d, %f, class1" % (fFlyer, tats))
elif ((myClass > 0.16) and (myClass <= 0.33)):
fFlyer = 6000*r0 + 70000
tats = 10 + 3*r1 + 2*r0
markers.append(20)
colors.append(1.1)
classLabel = 1 #'didntLike'
print ("%d, %f, class1" % (fFlyer, tats)) #print("who is the murder? %s or %s?") % (a, b)python2中的写法
elif ((myClass > 0.33) and (myClass <= 0.66)):
fFlyer = 5000*r0 + 10000
tats = 3 + 2.8*r1
markers.append(30)
colors.append(1.1)
classLabel = 2 #'smallDoses'
print ("%d, %f, class2" % (fFlyer, tats))
else:
fFlyer = 10000*r0 + 35000
tats = 10 + 2.0*r1
markers.append(50)
colors.append(0.1)
classLabel = 3 #'largeDoses'
print("%d, %f, class3"%(fFlyer, tats))
if (tats < 0): tats =0
if (fFlyer < 0): fFlyer =0
xcord[i] = fFlyer; ycord[i]=tats
fw.write("%d\t%f\t%f\t%d\n" % (fFlyer, tats, random.uniform(0.0, 1.7), classLabel))
fw.close()
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(xcord,ycord, c=colors, s=markers)
type1 = ax.scatter([-10], [-10], s=20, c='red')
type2 = ax.scatter([-10], [-15], s=30, c='green')
type3 = ax.scatter([-10], [-20], s=50, c='blue')
ax.legend([type1, type2, type3], ["Class 1", "Class 2", "Class 3"], loc=2)
#ax.axis([-5000,100000,-2,25])
plt.xlabel('Frequent Flyier Miles Earned Per Year')
plt.ylabel('Percentage of Body Covered By Tatoos')
plt.show()
