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

Last Updated : 03 Jun, 2020
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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:
 

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 = 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()

Output: 
 


Example 2:
 

Python3
# 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()

Output: 
 


 


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