Python中的 Matplotlib.axis.Tick.set_animated()函数

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库，用于处理更广泛的 SciPy 堆栈。

Matplotlib.axis.Tick.set_animated()函数

matplotlib库的axis模块中的Tick.set_animated()函数用于设置美工的动画状态。

Syntax: Tick.set_animated(self, b) 
Parameters: This method accepts the following parameters. 

• b: This parameter is the boolean value.

Return value: This method does not return any value. 

下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Tick.set_animated()函数：
示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib.animation as animation  
       
       
data = np.array([[1, 2, 3, 4, 5],   
                 [7, 4, 9, 2, 3]])  
       
fig = plt.figure()  
ax = plt.axes(xlim =(0, 20), ylim =(0, 20))  
       
line, = ax.plot([], [], 'r-')  
annotation = ax.annotate('',  
                         xy =(data[0][0],  
                              data[1][0]))  
       
Tick.set_animated(annotation, True)  
       
def init():  
    return line, annotation  
       
def update(num):  
    newData = np.array([[1 + num,  
                         2 + num / 2,  
                         3,  
                         4 - num / 4,  
                         5 + num],  
                        [7, 4,   
                         9 + num / 3,  
                         2, 3]])  
           
    line.set_data(newData)  
    return line, annotation  
       
anim = animation.FuncAnimation(fig,  
                               update,   
                               frames = 59,  
                               init_func = init,  
                               interval = 60,  
                               blit = True)  
  
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', fontweight ="bold")  
     
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib.animation as animation  
       
       
fig, ax = plt.subplots()  
       
ax.set_xlim([-1, 1])  
ax.set_ylim([-1, 1])  
       
L = 50
theta = np.linspace(0, 2 * np.pi, L)  
r = np.ones_like(theta)  
       
x = r * np.cos(theta)  
y = r * np.sin(theta)  
       
line, = ax.plot(1, 0, 'ro')  
       
annotation = ax.annotate(  
    'annotation', xy =(1, 0), xytext =(-1, 0),  
    arrowprops = {'arrowstyle': "->"}  
)  
Tick.set_animated(annotation, False) 
  
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', fontweight ="bold")  
     
plt.show()