python 网格_Python | 网格到情节

╰+哭是因爲堅強的太久メ 2023-03-05 09:44 1阅读 0赞

python 网格

Most of the time, we need good accuracy in data visualization and a normal plot can be ambiguous. So, it is better to use a grid that allows us to locate the approximate value near the points in the plot. It helps in reducing the ambiguity and therefore, there is a function *plt.grid()* which generates a grid through the plot and enables better visualization.

大多数时候，我们需要在数据可视化中具有良好的准确性，并且法线图可能会模棱两可。 因此，最好使用允许我们在绘图中的点附近定位近似值的网格。 它有助于减少歧义，因此有一个函数*plt.grid()*可以生成整个图的网格并实现更好的可视化。

The following are examples for understanding the implementation Grid.

以下是用于了解实现Grid的示例。

## 1)网格线图 **(**1) Line plot with Grid**)** ##

![Python | Grid to the plot (1)][Python _ Grid to the plot _1]

## 2)带网格的条形图 **(**2) Bar Graph with Grid**)** ##

![Python | Grid to the plot (2)][Python _ Grid to the plot _2]

## 3)带有网格的散点图 **(**3) Scatter Plot with Grid**)** ##

![Python | Grid to the plot (3)][Python _ Grid to the plot _3]

## Python代码演示网格图示例 **(**Python code to demonstrate example of grid to the plot**)** ##

# Data Visualization using Python
    # Adding Grid
    
    import numpy as np
    import matplotlib.pyplot as plt
    
    # Line Plot
    N = 40
    x = np.arange(N)
    y = np.random.rand(N)*10
    yy = np.random.rand(N)*10
    plt.figure()
    plt.plot(x,y)
    plt.plot(x,yy)
    plt.xlabel('Numbers')
    plt.ylabel('Values')
    plt.title('Line Plot with Grid')
    plt.grid()
    plt.show()
    
    
    # Bar Graph
    N = 8
    x = np.array([1,2,3,4,5,6,7,9])
    xx = np.array(['a','b','c','d','e','f','g','u'])
    y = np.random.rand(N)*10
    plt.figure()
    plt.bar(np.arange(26), np.random.randint(0,50,26), alpha = 0.6)
    plt.xlabel('Numbers')
    plt.ylabel('Values')
    plt.title('Bar Graph with Grid')
    plt.grid()
    plt.show()
    
    # Scatter Plot
    N = 40
    x = np.random.rand(N)
    y = np.random.rand(N)*10
    colors = np.random.rand(N)
    area = (30 * np.random.rand(N))**2  # 0 to 15 point radii
    plt.figure()
    plt.scatter(x, y, s=area, c=colors, alpha=0.8)
    plt.xlabel('Numbers')
    plt.ylabel('Values')
    plt.title('Scatter Plot with Grid')
    plt.grid()
    plt.show()

> 翻译自: [https://www.includehelp.com/python/grid-to-the-plot.aspx][https_www.includehelp.com_python_grid-to-the-plot.aspx]

python 网格

[Python _ Grid to the plot _1]: /images/20230208/dcab8b31f03d4a8d99f3364d847d053a.png
[Python _ Grid to the plot _2]: /images/20230208/ea4d8e3a13ca456ebf8af1b462dce466.png
[Python _ Grid to the plot _3]: /images/20230208/46d82dfc1aae49c0b1fe3ba5dc79dadd.png
[https_www.includehelp.com_python_grid-to-the-plot.aspx]: https://www.includehelp.com/python/grid-to-the-plot.aspx