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

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

Last Updated : 10 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.set_major_locator() Function

The Axis.set_major_locator() function in axis module of matplotlib library is used to set the locator of the major ticker.

Syntax: Axis.set_major_locator(self, locator)

Parameters: This method accepts the following parameters.

locator: This parameter is the Locator.

Return value: This method does not returns any value.

Below examples illustrate the matplotlib.axis.Axis.set_major_locator() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis
import numpy as np 
import matplotlib.pyplot as plt 
import matplotlib.dates as mdates 
import matplotlib.cbook as cbook 
  
years = mdates.YearLocator()    
months = mdates.MonthLocator()   
years_fmt = mdates.DateFormatter('% Y') 
  
with cbook.get_sample_data('goog.npz') as datafile: 
    data = np.load(datafile)['price_data'].view(np.recarray) 
      
fig, ax = plt.subplots() 
ax.plot('date', 'adj_close', data = data, color ="green") 
  
Axis.set_major_locator(ax.xaxis, years) 
ax.set_ylim((100, 300)) 
  
ax.format_xdata = mdates.DateFormatter('% m') 
ax.grid(True) 
 
fig.suptitle("Matplotlib.axis.Axis.set_major_locator()\n\
Function Example", fontsize = 12, fontweight ='bold') 

plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
import matplotlib.ticker as ticker 
  
  
x = [0, 5, 9, 10, 15] 
y = [0, 1, 2, 3, 4] 
  
tick_spacing = 1
  
fig, ax = plt.subplots(1, 1) 
ax.plot(x, y) 
ax.xaxis.set_major_locator(ticker.MultipleLocator(tick_spacing))
 
fig.suptitle("Matplotlib.axis.Axis.set_major_locator()\n\
Function Example", fontsize = 12, fontweight ='bold') 

plt.show()

Output:

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

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