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

# 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

# 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()