Skip to content
Related Articles

Related Articles

Matplotlib.axis.XAxis.set_tick_params() in Python

View Discussion
Improve Article
Save Article
  • Last Updated : 01 May, 2022
View Discussion
Improve Article
Save Article

The XAxis.set_tick_params() function in axis module of matplotlib library is used to set appearance parameters for ticks, ticklabels, and gridlines. 

Syntax: XAxis.set_tick_params(self, which=’major’, reset=False, **kw)

Parameters: This method accepts the following parameters.

  • which: This parameter is the used to which axis to apply the parameters to.

Return value: This method does not returns any value.

 Below examples illustrate the matplotlib.axis.XAxis.set_tick_params() function in matplotlib.axis:

Example 1: 

Python3




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
t = np.arange(0.1, 3.0, 0.04)
  
fig, ax1 = plt.subplots()
  
ax1.plot(t, np.sin(4*np.pi * t))
ax1.grid(True)
ax1.set_ylim((-3, 3))
  
ax1.xaxis.set_tick_params(labelcolor='r')
ax1.yaxis.set_tick_params(labelcolor='g')
  
plt.title('matplotlib.axis.XAxis.set_tick_params() function Example',
          fontweight="bold")
  
plt.show()

Output:

 

Example 2:

Python3




# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.dates import (YEARLY, 
                              DateFormatter,
                              rrulewrapper,
                              RRuleLocator, 
                              drange)
import numpy as np
import datetime
  
np.random.seed(19680801)
  
Val1 = rrulewrapper(YEARLY, byeaster=1, interval=5)
Val2 = RRuleLocator(Val1)
  
formatter = DateFormatter('%y/%m/%d')
  
date1 = datetime.date(2002, 2, 3)
date2 = datetime.date(2010, 5, 14)
delta = datetime.timedelta(days=10)
  
dates = drange(date1, date2, delta)
s = np.random.rand(len(dates))
  
fig, ax = plt.subplots()
plt.plot_date(dates, s, 'go')
  
ax.xaxis.set_major_locator(Val2)
ax.xaxis.set_major_formatter(formatter)
ax.xaxis.set_tick_params(rotation=25,
                         labelsize=10,
                         labelcolor="g")
ax.yaxis.set_tick_params(rotation=25,
                         labelsize=12,
                         labelcolor="r")
  
plt.title('matplotlib.axis.XAxis.set_tick_params()\n\
function Example', fontweight="bold")
  
plt.show()

Output: 

 


My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!