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  • 吴裕雄 python 机器学习-NBYS(2)

    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()

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  • 原文地址:https://www.cnblogs.com/tszr/p/10174206.html
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