Matplotlib.axis.Axis.set_tick_params() in Python

Last Updated : 01 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_tick_params() Function

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

Syntax: Axis.set_tick_params(self, axis=’major’, reset=False, \*\*kw)

Parameters: This method accepts the following parameters.

axis: 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.Axis.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(0.0, 2.0, 0.02) 
  
fig, ax1 = plt.subplots() 
  
ax1.plot(t, np.sin(4*np.pi * t)) 
ax1.grid(True) 
ax1.set_ylim((-2, 2)) 
  
ax1.xaxis.set_tick_params(labelcolor='r') 
ax1.yaxis.set_tick_params(labelcolor='g') 
  
plt.title('matplotlib.axis.Axis.set_tick_params()\n\ 
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(2000, 1, 1) 
date2 = datetime.date(2014, 4, 12) 
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=8 , 
                         labelcolor = "g") 
ax.yaxis.set_tick_params(rotation=25, 
                         labelsize=12 , 
                         labelcolor = "r") 
  
plt.title('matplotlib.axis.Axis.set_tick_params()\n\ 
function Example', fontweight ="bold")  
    
plt.show()