Matplotlib.axes.Axes.set_position() in Python

Matplotlib.axes.Axes.minorticks_on() in Python

Last Updated : 21 Apr, 2020

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_on() Function

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

Syntax:

Axes.minorticks_on(self)

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

Example 1:

# Implementation of matplotlib function 
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.cbook as cbook 
import matplotlib.cm as cm 
  
from matplotlib.collections import LineCollection 
from matplotlib.ticker import MultipleLocator 
  
  
with cbook.get_sample_data('s1045.ima.gz') as dfile: 
    im = np.frombuffer(dfile.read(), 
                       np.uint16).reshape((256, 256)) 
  
fig, ax1 = plt.subplots() 
im = np.ravel(im) 
im = im[np.nonzero(im)]  
im = im / (2**20 - 1) 
ax1.hist(im, bins = 40, color ="green") 
ax1.set_yticks([]) 
ax1.set_xlabel('Intensity (a.u.)') 
ax1.set_ylabel('MRI density') 
ax1.minorticks_on() 
  
fig.suptitle('matplotlib.axes.Axes.minorticks_on() \ 
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.fill_between(x, y1, y2, color ="green", 
                alpha = 0.6) 
ax.set_title("Without minorticks_on()") 
  
ax1.fill_between(x, y1, y2, color ="green", 
                 alpha = 0.6) 
ax1.minorticks_on() 
ax1.set_title("With minorticks_on()") 
  
fig.suptitle('matplotlib.axes.Axes.minorticks_on()\ 
 function Example\n\n', fontweight ="bold") 
plt.show() 

Output:

Matplotlib.axes.Axes.set_position() in Python

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