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

  • Last Updated : 03 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.get_minor_ticks() Function

The Axis.get_minor_ticks() function in axis module of matplotlib library is used to get the minor tick instances.
 

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Syntax: Axis.get_minor_ticks(self, numticks=None) 



Parameters: This method accepts the following parameter. 

  • numticks : This parameter is the number of ticks.

Return value: This method returns the minor tick instances. 

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

Example 1:

Python3




# Implementation of matplotlib function 
import numpy as np
from matplotlib.axis import Axis  
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
     
np.random.seed(19680801)
  
fig, ax = plt.subplots()
ax.plot(100*np.random.rand(20))
  
formatter = ticker.FormatStrFormatter('%1.2f')
Axis.set_minor_formatter(ax.yaxis, formatter)
  
print("Value of get_minor_ticks() :")
for tick in ax.yaxis.get_minor_ticks(2):
    tick.label1.set_color('green')
    print(tick)
  
plt.title("Matplotlib.axis.Axis.get_minor_ticks()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

Output: 
 

 

Value of get_minor_ticks() :
<matplotlib.axis.YTick object at 0x0A770DB0>
<matplotlib.axis.YTick object at 0x07E09DF0>

Example 2:

Python3




# Implementation of matplotlib function 
import numpy as np
from matplotlib.axis import Axis  
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
      
np.random.seed(19680801)
   
fig, ax = plt.subplots()
ax.plot(100*np.random.rand(20))
   
ax.xaxis.set_minor_locator(ticker.MultipleLocator(1))
   
print("Value of get_minor_ticks() :")
for tick in ax.xaxis.get_minor_ticks():
    tick.label1.set_color('red')
    print(tick)
    
plt.title("Matplotlib.axis.Axis.get_minor_ticks()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

Output: 
 

 

Value of get_minor_ticks() :
<matplotlib.axis.XTick object at 0x0AD502F0>
<matplotlib.axis.XTick object at 0x083D9850>
<matplotlib.axis.XTick object at 0x0AD5DFD0>
<matplotlib.axis.XTick object at 0x0AD74270>
<matplotlib.axis.XTick object at 0x0AD74510>
<matplotlib.axis.XTick object at 0x0AD747B0>
<matplotlib.axis.XTick object at 0x0AD74A70>
<matplotlib.axis.XTick object at 0x0AD74D10>
<matplotlib.axis.XTick object at 0x0AD74EB0>
<matplotlib.axis.XTick object at 0x0AD7E270>
<matplotlib.axis.XTick object at 0x0AD7E4D0>
<matplotlib.axis.XTick object at 0x0AD74DD0>
<matplotlib.axis.XTick object at 0x0AD74250>
<matplotlib.axis.XTick object at 0x0AD7E070>
<matplotlib.axis.XTick object at 0x0AD7E8B0>
<matplotlib.axis.XTick object at 0x0AD7EB50>
<matplotlib.axis.XTick object at 0x0AD7EDF0>

 




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