Matplotlib.axes.axes.get_shared_x_axes()

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_shared_x_axes()

matplotlib库的Axes模块中的Axes.get_shared_x_axes()函数用于为x轴返回对shared Axes Grouper对象的引用。

语法:

Axes.get_shared_x_axes(self)

下面的例子演示了matplotlib.axes.axes.get_shared_x_axes()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
   
   
def GFG1(temp):
    return (5. / 9.) * (temp - 32)
   
def GFG2(ax1):
    y1, y2 = ax1.get_ylim()
    ax_twin .set_ylim(GFG1(y1), GFG1(y2))
    ax_twin .figure.canvas.draw()
   
fig, ax1 = plt.subplots()
ax_twin = ax1.twinx()
   
ax1.callbacks.connect("ylim_changed", GFG2)
ax1.plot(np.linspace(-40, 120, 100))
ax1.set_xlim(0, 100)
   
ax1.set_ylabel('Fahrenheit')
ax_twin .set_ylabel('Celsius')
  
w = ax1.get_shared_x_axes()
w1 = ax_twin.get_shared_x_axes()
for i in w:
    x, y = list(i)
    ax1.text(40, 100, "Value return : \n",
            fontweight ="bold")
    ax1.text(27, 90, str(x)+"\n"+str(y), 
             fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_shared_x_axes()\
 function Example\n\n', fontweight ="bold")
plt.show()

输出:

示例2

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
   
# Create some mock data
t = np.arange(0.01, 10.0, 0.001)
data1 = np.exp(t)
data2 = np.sin(0.4 * np.pi * t)
   
fig, ax1 = plt.subplots()
   
color = 'tab:blue'
ax1.set_xlabel('time (s)')
ax1.set_ylabel('exp', color = color)
ax1.plot(t, data1, color = color)
ax1.tick_params(axis ='y', labelcolor = color)
   
ax2 = ax1.twinx()
   
color = 'tab:green'
ax2.set_ylabel('sin', color = color)
ax2.plot(t, data2, color = color)
ax2.tick_params(axis ='y', labelcolor = color)
  
w = ax1.get_shared_x_axes()
w1 = ax2.get_shared_x_axes()
for i in w:
    x, y = list(i)
    ax1.text(4, 15000, "Value return : \n", 
             fontweight ="bold")
    ax1.text(2, 13000, str(x)+"\n"+str(y),
             fontweight ="bold")
fig.suptitle('matplotlib.axes.Axes.get_shared_x_axes()\
 function Example\n\n', fontweight ="bold")
plt.show()

输出: