How to Change Point to Comma in Matplotlib Graphics in Python Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report We are given a Matplotlib Graph and our task is to change the point to a comma in Matplotlib Graphics such that there is only a comma in the whole graph instead of a point. In this article, we will see how we can change the point to comma in Matplotlib Graphics in Python. Change Point to Comma in Matplotlib Graphics in PythonBelow are some of the ways by which we can change the point to a comma in Matplotlib graphics in Python: Using String Replace in Tick LabelsUsing Custom Tick FormatterUsing String Replace in Tick LabelsIn this example, a simple line plot is created using Matplotlib, representing data points with purple lines. The x and y-axis tick labels are customized to replace decimal points with commas for improved readability. Python3 import matplotlib.pyplot as plt # Example data x = [1, 2, 3, 4, 5] y = [2.5, 1.5, 3.5, 2.0, 4.5] # Plot plt.plot(x, y, 'purple') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Example Plot') plt.grid(True) # Replace points with commas in tick labels plt.xticks([tick for tick in plt.xticks()[0]], [ str(tick).replace('.', ',') for tick in plt.xticks()[0]]) plt.yticks([tick for tick in plt.yticks()[0]], [ str(tick).replace('.', ',') for tick in plt.yticks()[0]]) plt.show() Output: Use String ReplaceUsing Custom Tick FormatterIn this example, a line plot is generated using Matplotlib with gold-colored lines. The x and y-axis tick labels are formatted to replace decimal points with commas for enhanced visual presentation, achieved by defining a custom formatting function using FuncFormatter. Python3 import matplotlib.pyplot as plt from matplotlib.ticker import FuncFormatter # Example data x = [1, 2, 3, 4, 5] y = [2.5, 1.5, 3.5, 2.0, 4.5] # Plot plt.plot(x, y, 'gold') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Example Plot') plt.grid(True) def comma_formatter(x, pos): return str(x).replace('.', ',') plt.gca().xaxis.set_major_formatter(FuncFormatter(comma_formatter)) plt.gca().yaxis.set_major_formatter(FuncFormatter(comma_formatter)) plt.show() Output: By Custom Tick Formatter Create Quiz Comment H hadaa914 Follow 0 Improve H hadaa914 Follow 0 Improve Article Tags : Python Python-matplotlib Matplotlib Pyplot-class 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