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  • 用Python 绘制分布(折线)图

    用Python 绘制分布(折线)图,使用的是 plot()函数。

    一个简单的例子:

    # encoding=utf-8
    import matplotlib.pyplot as plt
    from pylab import *  # 支持中文
    
    mpl.rcParams['font.sans-serif'] = ['SimHei']
    # 'mentioned0cluster',
    names = ['mentioned1cluster','mentioned2cluster', 'mentioned3cluster', 'mentioned4cluster', 'mentioned5cluster', 'mentioned6cluster', 'mentioned7cluster', 'mentioned8cluster', 'mentioned9cluster', 'mentioned10cluster']
    x = range(len(names))
    # y_0625 = [39266,56796,42996,24872,13849,8609,5331,1971,554,169,26]
    
    y_0626_1=[4793,100,0,0,0,0,0,0,0,0]
    # y_0626_2=[2622,203,0,0,0,0,0,0,0,0,0]
    
    # plt.plot(x, y, 'ro-')
    # plt.plot(x, y1, 'bo-')
    # pl.xlim(-1, 11) # 限定横轴的范围
    # pl.ylim(-1, 110) # 限定纵轴的范围
    plt.plot(x, y_0626_1, marker='o', mec='r', mfc='w', label='HighRating:MentionedClusterNum Distribution')
    # plt.plot(x, y_0626_2, marker='o', mec='r', mfc='w', label='LowRating:MentionedClusterNum Distribution')
    # plt.plot(x, y1, marker='*', ms=10, label=u'y=x^3曲线图')
    plt.legend()  # 让图例生效
    plt.xticks(x, names, rotation=45)
    plt.margins(0)
    plt.subplots_adjust(bottom=0.15)
    # plt.xlabel(u"time(s)邻居")  # X轴标签
    plt.xlabel("clusters")
    plt.ylabel("number of reviews")  # Y轴标签
    plt.title("A simple plot")  # 标题
    
    plt.show()

    结果:

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  • 原文地址:https://www.cnblogs.com/shenxiaolin/p/11101891.html
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