Matplotlib.axes.axes.get_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.get_axisbelow
matplotlib库的Axes模块中的Axes.get_axisbelow()函数用于获取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.get_axisbelow(self)
参数:该方法不接受任何参数。
返回:该方法返回axisbelow。这是我们获得轴刻度和网格线是高于还是低于大多数艺术家的值。
下面的例子演示了matplotlib.axes.axes.get_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')
x = ax.get_axisbelow()
ax.text(2, 15.7, "Result of get_axisbelow : " +str(x),
style ='italic', fontsize = 12, color ="green")
ax.set_title('matplotlib.axes.Axes.get_axisbelow() \
Example\n\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')
x = ax.get_axisbelow()
ax.text(2, 15.7, "Result of get_axisbelow : " +str(x),
style ='italic', fontsize = 12, color ="green")
ax.set_title('matplotlib.axes.Axes.get_axisbelow() \
Example\n\n', fontsize = 12, fontweight ='bold')
plt.show()
输出: