Matplotlib.axis.Axis.reset_ticks() function in Python

Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.reset_ticks() Function

The Axis.reset_ticks() function in axis module of matplotlib library is used to re-initialize the major and minor Tick lists.

Syntax: Axis.reset_ticks(self)

Parameters: This method does not accepts any parameter.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Axis.reset_ticks() function in matplotlib.axis:

Example 1:

Python3

Python3

# 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() 

Output:

Example 2:

Python3

Python3

# 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() 

Output:

Matplotlib.axis.Tick.set() function in Python

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Matplotlib.axis.Axis.reset_ticks() function in Python