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Matplotlib Tutorial

Matplotlib Tutorial

A practical handbook for learning Matplotlib and creating visualizations using Python. This guide covers plotting fundamentals, customization, and different chart types to help learners turn data into clear and meaningful visuals.

4 Modules

32 Lessons

English

0.5 Hr

Reading Plan

MODULE 1

Matplotlib Basics

17 mins

Introduction to Matplotlib

1 min

General Concepts in Matplotlib

1 min

Matplotlib with Jupyter

1 min

Matplotlib PyPlot API

1 min

Matplotlib Simple Line Plot

1 min

Pylab Module

1 min

OOPs Class and Interface

1 min

Matplotlib Figure Class

1 min

Matplotlib Axes Class

1 min

Multiplots using subplots()

1 min

Matplotlib subplots() Function

1 min

Matplotlib subplot2grid() Function

1 min

Matplotlib Grids

1 min

Formatting the Axes in Matplotlib

1 min

Setting Limits for Axis in Matplotlib

1 min

Setting Ticks and Tick Labels in Matplotlib

1 min

Matplotlib Twin Axes

1 min

MODULE 2

Matplotlib Plots

8 mins

Matplotlib Bar Plot

1 min

Matplotlib Histrograms

1 min

Matplotlib Pie Chart

1 min

Matplotlib Scatter Plot

1 min

Matplotlib Contour Plot

1 min

Matplotlib Quiver Plot

1 min

Matplotlib Box Plot

1 min

Matplotlib Violin Plot

1 min

MODULE 3

Matplotlib 3D

4 mins

Matplotlib 3D Plotting

1 min

Matplotlib 3D Contour Plot

1 min

Matplotlib 3D WireFrame Plot

1 min

Matplotlib 3D Surface Plot

1 min

MODULE 4

Miscellaneous

3 mins

Working with Text in Matplotlib

1 min

Mathematical Expressions in Matplotlib

1 min

Working with Images in Matplotlib

1 min

Contributors

Lukesh

Matplotlib Tutorial

This handbook introduces Matplotlib step by step, starting with basic plots and gradually moving into customization and layout control. You’ll learn how to visualize datasets effectively using line charts, bar graphs, scatter plots, and more. The focus stays on practical examples used in data analysis and reporting.

Why This Handbook Matters

Data visualization is essential for understanding and communicating insights. Learning Matplotlib helps developers and data practitioners present data clearly, identify patterns, and support better decision-making.

Ideal Learners for This Handbook

This handbook is ideal for Python learners moving into data analysis, students exploring data science, and developers who need to visualize data. It’s also useful for anyone working with datasets and reports.

Prerequisites

This course is suitable for:

Basic understanding of Python programming
Familiarity with variables, loops, and functions
Basic knowledge of lists or arrays
Willingness to work with data and visual outputs

Run & Test your Code with our very own IDE that supports 16 languages

Open IDE

4 Modules

32 Lessons

English

0.5 Hr

Contributors

Lukesh

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