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Matplotlib.axis.Axis.set_minor_locator() 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.set_minor_locator() Function

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

Syntax: Axis.set_minor_locator(self, locator)

Parameters: This method accepts the following parameters. 

  • formatter: This parameter is the locator.

Return value: This method does not returns any value. 
 



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

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# 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 = 0.4
     
fig, ax = plt.subplots(1, 1
ax.plot(x, y) 
ax.xaxis.set_minor_locator(ticker.MultipleLocator(tick_spacing))
    
fig.suptitle("Matplotlib.axis.Axis.set_minor_locator()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

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Output: 
 

Example 2:
 

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# Implementation of matplotlib function 
from matplotlib.axis import Axis
import datetime 
import matplotlib.pyplot as plt 
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange 
import numpy as np 
    
date1 = datetime.datetime(2020, 4, 2
date2 = datetime.datetime(2020, 4, 6
delta = datetime.timedelta(hours = 6
dates = drange(date1, date2, delta) 
    
y = np.arange(len(dates)) 
    
fig, ax = plt.subplots() 
ax.plot_date(dates, y ** 2
    
ax.set_xlim(dates[0], dates[-1]) 
    
ax.xaxis.set_major_locator(DayLocator()) 
Axis.set_minor_locator(ax.xaxis, HourLocator(range(0, 25, 6))) 
ax.xaxis.set_major_formatter(DateFormatter('%Y-%m-%d')) 
    
ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S'
fig.autofmt_xdate()
  
fig.suptitle("Matplotlib.axis.Axis.set_minor_locator()\n\
Function Example", fontsize = 12, fontweight ='bold'
  
plt.show()

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Output: 
 

 

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