matplotlib.pyplot.twiny()函数

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Pyplot是一个基于状态的Matplotlib模块接口，该模块提供了一个类似matlab的接口。

示例代码

# sample code
import matplotlib.pyplot as plt 
    
plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) 
plt.show()

输出:

使用matplotlib库pyplot模块中的twinx()函数创建并返回与y轴相同的第二个轴。

语法:

matplotlib.pyplot.twiny(ax=None)

参数:此方法不接受任何参数。

返回:返回与x轴共享的第二个轴

下面的例子演示了matplotlib.pyplot.twiny()函数在matplotlib.pyplot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.twiny()
    
ax1.callbacks.connect("ylim_changed", GFG2)
ax1.plot(np.linspace(10, 120, 100))
ax1.set_xlim(0, 40)
    
ax1.set_xlabel('Fahrenheit')
ax_twin .set_xlabel('Celsius')
  
fig.suptitle('matplotlib.pyplot.twiny() function\
 Example\n\n', fontweight ="bold")
plt.show()

输出:

matplotlib.pyplot.twiny()函数

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, 20.0, 0.001)
data1 = np.exp(t)
data2 = np.sin(0.3 * np.pi * t)
   
fig, ax1 = plt.subplots()
   
color = 'tab:blue'
ax1.set_ylabel('time (s)')
ax1.set_xlabel('exp', color = color)
ax1.plot(data1, t, color = color)
ax1.tick_params(axis ='x', labelcolor = color)
   
ax2 = ax1.twiny()
   
color = 'tab:green'
ax2.set_xlabel('sin', color = color)
ax2.plot(data2, t, color = color)
ax2.tick_params(axis ='x', labelcolor = color)
  
fig.suptitle('matplotlib.pyplot.twiny() function\
 Example\n\n', fontweight ="bold")
plt.show()

输出:

matplotlib.pyplot.twiny()函数