Matplotlib.axis.axis.reset_ticks()

Python matplotlib库的Axis模块中的Axis.reset_ticks()函数用于重新初始化主刻度表和次刻度表。

语法:Axis.reset_ticks(self)

参数:该方法不接受任何参数。

返回值:该方法不返回任何值。

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

示例1

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.gridspec as gridspec
import numpy as np
    
    
plt.rcParams['savefig.facecolor'] = "0.8"
plt.rcParams['figure.figsize'] = 6, 5
    
fig, ax = plt.subplots()
    
ax.plot([1, 2])
    
ax.locator_params("x",nbins=3)
ax.locator_params("y",nbins=5)
    
ax.set_xlabel('x-label')
ax.set_ylabel('y-label')
  
ax.yaxis.reset_ticks()
   
ax.grid() 
   
fig.suptitle("""matplotlib.axis.Axis.reset_ticks()
function Example\n""", fontweight ="bold")  
     
plt.show()

输出:

示例2

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  
import matplotlib.transforms as mtransforms  
   
delta = 0.5
     
x = y = np.arange(-2.0, 4.0, delta)  
X, Y = np.meshgrid(x**2, y)  
     
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2)  
       
transform = mtransforms.Affine2D().rotate_deg(30)  
fig, ax = plt.subplots()  
           
im = ax.imshow(Z, interpolation ='none',  
               origin ='lower',  
               extent =[-2, 4, -3, 2],   
               clip_on = True)  
       
trans_data = transform + ax.transData  
Axis.set_transform(im, trans_data)  
       
x1, x2, y1, y2 = im.get_extent()  
ax.plot([x1, x2, x2, x1, x1],   
        [y1, y1, y2, y2, y1],  
        "ro-",  
        transform = trans_data)  
       
ax.set_xlim(-5, 5)  
ax.set_ylim(-4, 4)  
  
ax.yaxis.reset_ticks()
   
ax.grid() 
   
fig.suptitle("""matplotlib.axis.Axis.reset_ticks()
function Example\n""", fontweight ="bold")  
     
plt.show()

输出: