Python matplotlib，数据可视化，绘制散点图，scatter

秒速五厘米 2022-04-23 03:28 393阅读 0赞

**demo.py（绘制散点图，scatter）：**

# coding=utf-8
    from matplotlib import pyplot as plt
    from matplotlib import font_manager
    
    
    # 设置中文字体。(Linux中可以通过命令：fc-list :lang=zh 查看系统中支持中文的字体)
    my_font = font_manager.FontProperties(fname="/usr/share/fonts/truetype/arphic/ukai.ttc")
    
    x_3 = range(1,32)
    x_10 = range(51,82)
    
    # 3月份气温数据
    y_3 = [11,17,16,11,12,11,12,6,6,7,8,9,12,15,14,17,18,21,16,17,20,14,15,15,15,19,21,22,22,22,23]
    y_10 = [26,26,28,19,21,17,16,19,18,20,20,19,22,23,17,20,21,20,22,15,11,15,5,13,17,10,11,13,12,13,6]
    
    # 设置图形大小
    plt.figure(figsize=(20,8),dpi=80)
    
    # 绘制散点图
    plt.scatter(x_3,y_3,label="3月份")  # 需要plt.legend()才能显示label图例
    plt.scatter(x_10,y_10,label="10月份")
    
    # 调整x轴的刻度
    _x = list(x_3)+list(x_10)
    _xtick_labels = ["3月{}日".format(i) for i in x_3]
    _xtick_labels += ["10月{}日".format(i-50) for i in x_10]
    plt.xticks(_x[::3],_xtick_labels[::3],fontproperties=my_font,rotation=45)
    
    # 添加图例
    plt.legend(loc="upper left",prop=my_font)
    
    # 添加描述信息
    plt.xlabel("时间",fontproperties=my_font)
    plt.ylabel("温度",fontproperties=my_font)
    plt.title("标题",fontproperties=my_font)
    
    # 展示
    plt.show()

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