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

 2 years ago
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Matplotlib.axis.Axis.get_major_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_major_ticks() Function

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

Syntax: Axis.get_major_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 tick instances. 

Below examples illustrate the matplotlib.axis.Axis.get_major_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_major_formatter(ax.yaxis, formatter)
print("Value of get_major_ticks() :")
for tick in ax.yaxis.get_major_ticks(2):
tick.label1.set_color('green')
print(tick)
plt.title("Matplotlib.axis.Axis.get_major_ticks()\n\
Function Example", fontsize = 12, fontweight ='bold'
plt.show()

Output: 

get_maj1.jpg
Value of get_major_ticks() :
<matplotlib.axis.XTick object at 0x08A46250>
<matplotlib.axis.XTick object at 0x08A46230>

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))
formatter = ticker.FormatStrFormatter('%1.2f')
Axis.set_major_formatter(ax.yaxis, formatter)
print("Value of get_major_ticks() :")
for tick in ax.xaxis.get_major_ticks():
tick.label1.set_color('red')
print(tick)
plt.title("Matplotlib.axis.Axis.get_major_ticks()\n\
Function Example", fontsize = 12, fontweight ='bold'
plt.show()

Output: 

get_maj2.jpg
Value of get_major_ticks() :
<matplotlib.axis.YTick object at 0x07EB79F0>
<matplotlib.axis.YTick object at 0x07EB7670>
<matplotlib.axis.YTick object at 0x07EA8EB0>
<matplotlib.axis.YTick object at 0x090A30B0>
<matplotlib.axis.YTick object at 0x090A32D0>
<matplotlib.axis.YTick object at 0x090A3570>
<matplotlib.axis.YTick object at 0x090A3830>

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