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

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.
 

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:

# 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:

# 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>