Python | 屏蔽散点图

逃离我推掉我的手 2023-03-05 09:51 134阅读 0赞

**Masking a scatter plot** refers to differentiating a data point with respect to a function as shown in the following example. It is one of the most important aspects of plotting.

**屏蔽散点图**是指相对于函数区分数据点，如以下示例所示。 这是绘图的最重要方面之一。

area1 = np.ma.masked_where(r < r0, area)
    area2 = np.ma.masked_where(r >= r0, area)
    plt.scatter(x, y, s=area1, marker='^', c=c)
    plt.scatter(x, y, s=area2, marker='o', c=c)

![Python | Masked Scatter Plot (1)][Python _ Masked Scatter Plot _1]

![Python | Masked Scatter Plot (2)][Python _ Masked Scatter Plot _2]

## 屏蔽散点图的Python代码 **(**Python code for masked scatter plot**)** ##

import matplotlib.pyplot as plt
    import numpy as np
    
    N = 100
    r0 = 0.6
    x = 0.9 * np.random.rand(N)
    y = 0.9 * np.random.rand(N)
    area = (20 * np.random.rand(N))**2  # 0 to 10 point radii
    c = np.sqrt(area)
    r = np.sqrt(x ** 2 + y ** 2)
    area1 = np.ma.masked_where(r < r0, area)
    area2 = np.ma.masked_where(r >= r0, area)
    
    plt.figure()
    plt.scatter(x, y, s=area1, marker='^', c=c)
    plt.scatter(x, y, s=area2, marker='o', c=c)
    plt.title('Show the without boundary between the regions')
    plt.show()
    
    plt.figure()
    plt.scatter(x, y, s=area1, marker='^', c=c)
    plt.scatter(x, y, s=area2, marker='o', c=c)
    plt.title('Show the boundary between the regions')
    theta = np.arange(0, np.pi / 2, 0.01)
    plt.plot(r0 * np.cos(theta), r0 * np.sin(theta))
    plt.show()

**Output:**

**输出：**

Output is as figure

> 翻译自: [https://www.includehelp.com/python/masked-scatter-plot.aspx][https_www.includehelp.com_python_masked-scatter-plot.aspx]

[Python _ Masked Scatter Plot _1]: /images/20230208/5ec3ccbc5084484c840f02f18695e493.png
[Python _ Masked Scatter Plot _2]: /images/20230208/d7d766ddd0f7480bbd839162c0d3a9c0.png
[https_www.includehelp.com_python_masked-scatter-plot.aspx]: https://www.includehelp.com/python/masked-scatter-plot.aspx