import matplotlib
import numpy as np
import matplotlib.pyplot as plt
n = 1000
xcord0 = []
ycord0 = []
xcord1 = []
ycord1 = []
markers =[]
colors =[]
for i in range(n):
[r0,r1] = np.random.standard_normal(2)
myClass = np.random.uniform(0,1)
if (myClass <= 0.5):
fFlyer = r0 + 9.0
tats = 1.0*r1 + fFlyer - 9.0
xcord0.append(fFlyer)
ycord0.append(tats)
else:
fFlyer = r0 + 2.0
tats = r1+fFlyer - 2.0
xcord1.append(fFlyer)
ycord1.append(tats)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(xcord0,ycord0, marker='^', s=90)
ax.scatter(xcord1,ycord1, marker='o', s=50, c='red')
plt.plot([2,4], label='going up')
plt.show()
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
t = np.arange(0.0, 0.5, 0.01)
s = np.sin(2*np.pi*t)
logS = np.log(s)
fig = plt.figure()
ax = fig.add_subplot(211)
ax.plot(t,s)
ax.set_ylabel('f(x)')
ax.set_xlabel('x')
ax = fig.add_subplot(212)
ax.plot(t,logS)
ax.set_ylabel('ln(f(x))')
ax.set_xlabel('x')
plt.show()