Matplotlib 绘制散点图 - 温度变化

比眉伴天荒 2023-06-06 07:50 19阅读 0赞

**运行环境 : python 3.6.0**

用 Matplotlib 的 scatter 方法绘制散点图 , 绘制温度分布 , 数据来源于 [http://lishi.tianqi.com/beiling/index.html][http_lishi.tianqi.com_beiling_index.html]

**核心代码 :**

# -*- encoding: utf-8 -*-
    # @Version  : Python 3.6.0
    # @Function : 本代码为利用 Matplotlib 库 画散点图
     
    import numpy as np
    from matplotlib import pyplot as plt
    from matplotlib.font_manager import FontProperties  # 字体属性设置
     
    font = FontProperties(fname=r"C:\windows\fonts\simsun.ttc", size=14)  # 使用本地字体(Windows操作系统)
    
    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]
    
    x_3 = range(1, 32)
    x_10 = range(51, 82)
    
    # 设置图形大小
    plt.figure(figsize=[20, 8], dpi=80)
    
    # 使用scanner方法绘制散点图 , 和之前绘制折线图的唯一区别
    plt.scatter(x_3, y_3, label="三月份")
    plt.scatter(x_10, y_10, label="十月份")
    
    # 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='SimHei', rotation=45)
    
    # 添加图例
    plt.legend(loc='upper left', prop=font)
    
    plt.xlabel("时间",fontproperties='SimHei', size=16)
    plt.ylabel("温度",fontproperties='SimHei', rotation=90, size=16)
    plt.title("标题",fontproperties='SimHei', size=18)
    
    plt.show()  # 展示

**运行结果展示 :**

![20191010125012924.png][]

[http_lishi.tianqi.com_beiling_index.html]: http://lishi.tianqi.com/beiling/index.html
[20191010125012924.png]: /images/20230601/f52a5ae3359f4fa984188a78a200e6b3.png