Python中的 Matplotlib.axes.Axes.grid()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.grid()函数

matplotlib 库的 axes 模块中的Axes.grid()函数用于配置网格线。

Syntax: Axes.grid(self, b=None, which=’major’, axis=’both’, **kwargs)

Parameters: This method accept the following parameters.

b : This parameter is an optional parameter, whether to show the grid lines or not.
which : This parameter is also an optional parameter and it is the grid lines to apply the changes on.
axis :This parameter is also an optional parameter and it is the axis to apply the changes on.

Returns:This method does not return any value.

编程需要懂一点英语

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.grid()函数：

示例 1：

# Implementation of matplotlib function   
import matplotlib.pyplot as plt
import numpy as np
     
fig, ax = plt.subplots()
ax.plot([1, 2, 3])
ax.grid()
ax.set_title('matplotlib.axes.Axes.grid() Example\n',
             fontsize = 12, fontweight ='bold')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
    
x = np.arange(-5, 5, 0.01)
y1 = -3 * x*x + 10 * x + 10
y2 = 3 * x*x + x
    
fig, [ax, ax1] = plt.subplots(2, 1, 
                              sharex = True)
  
ax.plot(x, y1, x, y2, color ='black')
ax.fill_between(x, y1, y2, where = y2 >y1,
                facecolor ='green',
                alpha = 0.8)
  
ax.fill_between(x, y1, y2, where = y2 <= y1, 
                facecolor ='black', 
                alpha = 0.8)
  
ax.xaxis.grid(True, color ="black")
ax.set_title('matplotlib.axes.Axes.grid() \
Example\n\n Grid in X-axis',
             fontsize = 12, fontweight ='bold')
  
ax1.plot(x, y1, x, y2, color ='black')
ax1.fill_between(x, y1, y2, where = y2 >y1, 
                 facecolor ='green',
                 alpha = 0.8)
  
ax1.fill_between(x, y1, y2, where = y2 <= y1,
                 facecolor ='black', 
                 alpha = 0.8)
  
ax1.yaxis.grid(True, color ="black")
ax1.set_title('Grid in y-axis',
             fontsize = 12, fontweight ='bold')
plt.show()

输出：