Change Font Size in Matplotlib Last Updated : 23 Jul, 2025 Comments Improve Suggest changes 3 Likes Like Report Matplotlib library is mainly used to create 2-dimensional graphs and plots. It has a module named Pyplot which makes things easy for plotting. To change the font size in Matplotlib, the two methods given below can be used with appropriate parameters: Change Font Size using fontsize You can set the font size argument, figsize change how Matplotlib treats fonts in general, or even change the figure size. Python3 import matplotlib.pyplot as plt # setting font sizeto 30 fig, plt = plt.subplots(figsize=(10, 6)) x = [1, 2, 3, 4, 5, 6] y = [0, 2, 4, 6, 8, 10] # plotting a plot plt.plot(x, y) plt.set_title('Title', fontsize=20) plt.set_xlabel('Time', fontsize=16) plt.set_ylabel('Intensity', fontsize=16) Output: Change Font Size in Matplotlib rcParams.update() The rcParams is an instance of the Matplotlib library for handling default Matplotlib values hence to change the default font size we just have to pass the value to the key font.size. Python3 import matplotlib.pyplot as plt # setting font sizeto 30 plt.rcParams.update({'font.size': 30}) x = [1, 2, 3, 4, 5, 6] y = [0, 2, 4, 6, 8, 10] # plotting a plot plt.plot(x, y) # setting title name plt.title("Title") # setting x axis label plt.xlabel("x axis") # setting y axis label plt.ylabel("y axis") plt.show() Output: Change Font Size in Matplotlib rc(group, **kwargs) This function sets the current rc params. The group is the grouping for the rc like line, font, axes, etc and kwargs is a dictionary attribute name and value pairs. Python3 import matplotlib.pyplot as plt # creating a dictionary font = {'size': 10} # using rc function plt.rc('font', **font) x = [1, 2, 3, 4, 5, 6] y = [0, 2, 4, 6, 8, 10] # plotting a plot plt.plot(x, y) # setting title name plt.title("Title") # setting x axis label plt.xlabel("x axis") # setting y axis label plt.ylabel("y axis") plt.show() Output: Create Quiz Comment P patildhanu4111999 Follow 3 Improve P patildhanu4111999 Follow 3 Improve Article Tags : Technical Scripter Python Technical Scripter 2020 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