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

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.
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:
Python3
# Implementation of matplotlib function import numpy as npfrom matplotlib.axis import Axis  import matplotlib.pyplot as pltimport 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 npfrom matplotlib.axis import Axis  import matplotlib.pyplot as pltimport 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>

 
Matplotlib-Axis Class
Python-matplotlib
Python
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