main.py 文件源码

python
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项目:classical-machine-learning-algorithm 作者: xwzhong 项目源码 文件源码
def plotBestFit(dataSet1,dataSet2):
    dataArr1 = array(dataSet1)
    dataArr2 = array(dataSet2)
    n = shape(dataArr1)[0] 
    n1=shape(dataArr2)[0]
    xcord1 = []; ycord1 = []
    xcord2 = []; ycord2 = []
    xcord3=[];ycord3=[]
    j=0
    for i in range(n):
            xcord1.append(dataArr1[i,0]); ycord1.append(dataArr1[i,1])
            xcord2.append(dataArr2[i,0]); ycord2.append(dataArr2[i,1])

    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.scatter(xcord1, ycord1, s=30, c='red', marker='s')
    ax.scatter(xcord2, ycord2, s=30, c='blue')

    plt.xlabel('X1'); 
    plt.ylabel('X2');
    plt.show()
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