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

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  • Last Updated : 03 Jun, 2020
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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.set_minor_formatter() Function

The Axis.set_minor_formatter() function in axis module of matplotlib library is used to set the formatter of the minor ticker.
 

Syntax: Axis.set_minor_formatter(self, formatter)

Parameters: This method accepts the following parameters. 

  • formatter: This parameter is the Formatter.

Return value: This method does not returns any value. 

Below examples illustrate the matplotlib.axis.Axis.set_minor_formatter() function in matplotlib.axis:
Example 1:
 

Python3




# Implementation of matplotlib function 
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
from matplotlib.ticker import MultipleLocator, ScalarFormatter 
    
fig, ax = plt.subplots() 
ax.plot([0, 5, 10, 15, 20], [3, 2, 1, 2, 4]) 
    
Axis.set_minor_locator(ax.xaxis, MultipleLocator(1)) 
Axis.set_minor_formatter(ax.xaxis, ScalarFormatter()) 
    
ax.tick_params(axis ='both', which ='major',  
               labelsize = 14, pad = 12,  
               colors ='g'
    
ax.tick_params(axis ='both', which ='minor'
               labelsize = 8, colors ='b'
   
plt.title("Matplotlib.axis.Axis.set_minor_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

Output: 
 

Example 2:
 

Python3




# Implementation of matplotlib function 
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
from matplotlib.ticker import LogFormatter 
import numpy as np 
    
fig, axes = plt.subplots(2
    
dt = 0.01
t = np.arange(dt, 20.0, dt) 
    
# first plot doesn't use a formatter 
axes[0].semilogx(t, np.exp(-t / 5.0))  
axes[0].grid() 
    
xlims = [[0, 25], [0.2, 8], [0.6, 0.9]] 
    
for ax, xlim in zip(axes[1:], xlims): 
    
    ax.semilogx(t, np.exp(-t / 5.0)) 
    formatter = LogFormatter(labelOnlyBase = False,  
                             minor_thresholds = (2, 0.4)) 
    
    Axis.set_minor_formatter(ax.xaxis, formatter)  
    ax.grid() 
  
fig.suptitle("Matplotlib.axis.Axis.set_minor_formatter()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

Output: 
 

 


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