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.
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
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()
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Output:
Value of get_minor_ticks() :
<matplotlib.axis.YTick object at 0x0A770DB0>
<matplotlib.axis.YTick object at 0x07E09DF0>
Example 2:
Python3
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()
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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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