How to Set X-Axis Values in Matplotlib in Python? Last Updated : 23 Jul, 2025 Comments Improve Suggest changes 1 Likes Like Report In this article, we will be looking at the approach to set x-axis values in matplotlib in a python programming language. The xticks() function in pyplot module of the Matplotlib library is used to set x-axis values. Syntax: matplotlib.pyplot.xticks(ticks=None, labels=None, **kwargs) xticks() function accepts the following parameters: ParametersDescriptionticksList of xticks locations.OptionalPassing an empty list will remove all the xticks.labelsList of labels to place at given ticks location.Optional**kwargsText properties used to control the appearance of labels. Returns: xticks() function returns following values: locs: List of xticks location.labels: List of xlabel text location. Example #1 : In this example, we will be setting up the X-Axis Values in Matplotlib using the xtick() function in the python programming language. Python3 # Python program to set x-axis values in matplotlib import matplotlib.pyplot as plt # x-axis and y-axis values for plotting x = [1, 2, 3, 4, 5, 6] y = [3, 1, 4, 5, 3, 6] # labels for x-asix labels = ['A', 'B', 'C', 'D', 'E', 'F'] # Plotting x-axis and y-axis plt.plot(x, y) # naming of x-axis and y-axis plt.xlabel("X-Axis") plt.ylabel("Y-Axis") # naming the title of the plot plt.title("Set X-Axis Values in Matplotlib") # setting x-axis values plt.xticks(x, labels) plt.show() Output: Example #2: In this example, we will use the rotation argument to accept rotation value in degree and it will rotate labels in the clockwise direction by specified degree. Python3 # Python program to set x-axis values in matplotlib import matplotlib.pyplot as plt # x-axis and y-axis values for plotting x = [1, 2, 3, 4, 5, 6] y = [3, 1, 4, 5, 3, 6] # labels for x-asix labels = ['Label1', 'Label2', 'Label3', 'Label4', 'Label5', 'Label6'] # Plotting x-axis and y-axis plt.plot(x, y) # naming of x-axis and y-axis plt.xlabel("X-Axis") plt.ylabel("Y-Axis") # naming the title of the plot plt.title("Set X-Axis Values in Matplotlib") # setting x-axis values and specifying rotation # for the labels in degrees plt.xticks(x, labels, rotation=45) plt.show() Output: Create Quiz Comment S sainimansi Follow 1 Improve S sainimansi Follow 1 Improve Article Tags : Python Python-matplotlib Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like