Matplotlib.axes.Axes.minorticks_off() in Python

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Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.minorticks_off() Function

The Axes.minorticks_off() function in axes module of matplotlib library is used to remove minor ticks on the axes.

Syntax:

Axes.minorticks_off(self)

Note: This function will show any change or effect if it is used after use of minorticks_on() function.

Below examples illustrate the matplotlib.axes.Axes.minorticks_off() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
   
fig, ax1 = plt.subplots() 
  
ax1.minorticks_on() 
  
np.random.seed(19680801) 
mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000) 
  
ax1.hist(x, 50, density = True, facecolor ='g', 
         alpha = 0.65) 
  
ax1.set_xlim(40, 160) 
ax1.set_ylim(0, 0.03) 
plt.grid(True) 
  
ax1.minorticks_off() 
fig.suptitle('matplotlib.axes.Axes.minorticks_off()\ 
 function Example\n\n', fontweight ="bold") 
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
  
x = np.arange(0.0, 2, 0.01) 
y1 = np.sin(2 * np.pi * x) 
y2 = 1.2 * np.sin(4 * np.pi * x) 
  
fig, (ax, ax1) = plt.subplots(1, 2) 
  
ax.minorticks_on() 
ax1.minorticks_on() 
  
  
ax.fill_between(x, y1, y2, color ="green",  
                alpha = 0.6) 
ax.set_title("Without minorticks_off()") 
  
ax1.fill_between(x, y1, y2, color ="green", 
                 alpha = 0.6) 
ax1.set_title("With minorticks_off()") 
ax1.minorticks_off() 
  
fig.suptitle('matplotlib.axes.Axes.minorticks_off() \ 
function Example\n\n', fontweight ="bold") 
plt.show() 