Matplotlib.axes.axes.set_axisbelow()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

函数:matplotlib.axes.axes.set_axisbelow

matplotlib库的Axes模块中的Axes.set_axisbelow()函数用于设置轴刻度和网格线是在大多数艺术家的上方还是下方。

语法:Axes.set_axisbelow(self, b)

参数:此方法只接受一个参数。

• b:该参数包含布尔值，取值为True、False或line。

Returns:这个方法不返回任何东西。

下面的例子演示了matplotlib.axes.axes.set_axisbelow()函数在matplotlib.axes中的作用:

示例1

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
# Random test data
np.random.seed(19680801)
all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)]
labels = ['x1', 'x2', 'x3', 'x4', 'x5']
  
fig, ax = plt.subplots()
  
bplot = ax.boxplot(all_data,
                     vert = True,  
                     patch_artist = True,  
                     labels = labels) 
colors = ['lightpink', 'lightblue', 'lightgreen',
          "lightgrey", "yellow"]
for patch, color in zip(bplot['boxes'], colors):
    patch.set_facecolor(color)
  
ax.yaxis.grid(True, color ="green", lw = 2)
ax.set_axisbelow(True)
ax.set_xlabel('Samples')
ax.set_ylabel('Observed values')
ax.set_title('matplotlib.axes.Axes.set_axisbelow() \
Example\n', fontsize = 12, fontweight ='bold')
plt.show()

输出:

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
# Random test data
np.random.seed(19680801)
all_data = [np.random.normal(0, std, size = 100) for std in range(1, 6)]
labels = ['x1', 'x2', 'x3', 'x4', 'x5']
  
fig, ax = plt.subplots()
  
bplot = ax.boxplot(all_data,
                     vert = True,  
                     patch_artist = True,  
                     labels = labels) 
colors = ['lightpink', 'lightblue', 'lightgreen',
          "lightgrey", "yellow"]
for patch, color in zip(bplot['boxes'], colors):
    patch.set_facecolor(color)
  
ax.yaxis.grid(True, color ="green", lw = 2)
ax.set_axisbelow(False)
ax.set_xlabel('Samples')
ax.set_ylabel('Observed values')
ax.set_title('matplotlib.axes.Axes.set_axisbelow()\
 Example\n', fontsize = 12, fontweight ='bold')
plt.show()

输出: