Teach on Udemy

Turn what you know into an opportunity and reach millions around the world.

Learn More

Your cart is empty.

Keep shopping

Python Matplotlib Crash Course for Data Visualization

Name: Python Matplotlib Crash Course for Data Visualization
Rating: 4.6 (7 reviews)

Learn Matplotlib concepts with hands-on live running coding examples and exercises

Created byStudyopedia Trainings

Last updated 4/2025

English

What you'll learn

Learn Matplotlib for Data Science and Data Analysis
Create interactive visualizations in Python with Matplotlib.
Easily create graphs, histograms, bar graphs, etc.
Learn Matplotlib from scratch
Acquire essential Matplotlib skills for numeric and scientific computing
Practice your skills with 50+ exercises

Course content

6 sections • 16 lectures • 1h 46m total length

Introduction & Features2:24
In this lesson, learn what is Matplotlib with its features. Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualizations in Python with Matplotlib
Install Matplotlib in PyCharm11:17
In this lesson, learn how to install Matplotlib in PyCharm on Windows. We have covered the following steps in the video:
Install Python and pip
Install PyCharm Community Edition (free and open-source)
Connect Python and PyCharm
Install Matplotlib on PyCharm
Let us see the steps. Just for reference, here is the link to download PyCharm Community Edition: https://www.jetbrains.com/pycharm/download/?section=windows

PyPlot Submodule (Run first Matplotlib Program)6:03
In this lesson, learn what is PyPlot Submodule and run your first Matplotlib program. The PyPlot is a sub module and a lot of Matplotlib functionalities reside in it.
Plot a line with DataFrame8:00
In this lesson, learn how to plot a line with DataFrame in Matplotlib. We will use both the Matplotlib and Pandas library. A DataFrame is a two-dimensional, tabular data, with rows and columns.
Quiz 1

Add Labels to a Plot7:25
In this lesson, learn how to add labels to a plot in Matplotlib. We can add labels to a plot easily in Matplotlib using two methods i.e. xlabel() for x-coordinates and ylabel() for y-coordinates.
Plot Titles and Position them8:39
In this lesson, learn to plot titles and position them in Matplotlib. To set the titles in a graph, use the title() function in Matplotlib. Position the title using the loc parameter of the title().
Quiz 3

Add a Matplotlib Legend in a Graph6:35
In this lesson, learn how to add a Matplotlib Legend in a Graph. A legend in a graph is a box on the left and right displaying the data from the columns. Legend generally helps the readers understand the graph. Use the legend() function to add a legend.
Position Legends6:21
In this lesson, learn to position legend in Matplotlib. We can easily position legends in Matplotlib using the loc parameter of the legend() method.
Change the background color of the Legend5:59
In this lesson, learn to change the background color of the Legend in Matplotlib. The set_facecolor() function in Matplotlib is used to set the background color of the legend.
Change the font size of the Legend6:11
In this lesson, learn to change the font size of the Legend in Matplotlib. To increase or decrease the font size of legends in a graph, use the fontsize parameter of the legend() method.
Matplotlib Legend

Create a Bar Graph6:10
In this lesson, learn to plot a Bar Graph in Matplotlib. A Bar Graph is a pictorial representation using rectangular bars of different heights. The bars represent the value of the data. Use the bar() method to plot a bar graph in Matplotlib.
Create a Pie Chart8:06
In this lesson, learn how to plot a Pie Chart in Matplotlib. A Pie Chart displays data in a pictorial form, divided into slices. To plot a pie chart in Matplotlib, use the pie() method.
Create a Line Graph5:59
In this lesson, learn to plot a Line Graph in Matplotlib. To draw a line graph in Matplotlib, use the plot() method. By default, plot() creates a line. The points used are the x and y coordinates of a line.
Create a Histogram6:16
In this lesson, learn to plot a Histogram. A histogram is a graphical representation to show frequency distributions. To plot a histogram, in Matplotlib, use the hist() method.
Create a Scatter Plot6:37
In this lesson, learn to create a Scatter Plot in Matplotlib. A Scatter Plot is a chart that displays the relationship between two variables. To draw a scatter plot in Matplotlib, use the scatter() method.
Quiz 5

Requirements

A computer with an Internet
Python knowledge
Passion to learn Matplotlib

Description

Welcome to the Matplotlib Course for Beginners by Studyopedia.

Matplotlib is an open-source plotting library developed by John D. Hunter. Create interactive visualizations in Python with Matplotlib. It is built on NumPy and is one of the most popular libraries for data visualization in Python.

In this tutorial, we will learn how to perform plotting with Python. Visualizations are far better than textual data. Using matplotlib, we can easily create graphs, histograms, bar graphs, etc.

Features

The following are the features of Matplotlib:

Free and open-source Python library
Load and plot the data easily
Easily Make interactive figures that can zoom, pan, update.
Export to various file formats, such as PNG, PDF, SVG, etc.
Use third-party packages built on Matplotlib for plotting, animations, styles, etc.
Create graphs easily, set legends, position titles, plot, etc. with Matplotlib

Course Lessons

Matplotlib – Introduction

Install Matplotlib on Windows

Matplotlib - PyPlot Submodule (Run first Matplotlib program)

Matplotlib - Plotting

Matplotlib - Add Grid Lines

Matplotlib - Add Labels to a Plot

Matplotlib - Plot Titles and Position them

Matplotlib - Add a Legend in a Graph

Matplotlib - Position Legends

Matplotlib - Change the background color of the Legend

Matplotlib - Change the font size of the Legend

Matplotlib – Bar Graph

Matplotlib – Pie Chart

Matplotlib – Line Graph

Matplotlib – Histogram

Matplotlib – Scatter Plot

We have also provided Online Quizzes to polish your Matplotlib skills after completing the lessons.

Hit the Enroll Button!

Who this course is for:

Python Libraries Beginners
Get started with Matplotlib
Those who want to learn Matplotlib by doing. This course includes 50+ hands-on exercises

Python Matplotlib Crash Course for Data Visualization

What you'll learn

Explore related topics

Course content

Matplotlib - Introduction & Setup2 lectures • 14min

Matplotlib - Plotting2 lectures • 14min

Matplotlib - Grid1 lecture • 5min

Matplotlib - Plot Settings2 lectures • 16min

Matplotlib - Legends4 lectures • 25min

Plotting - Data Visualization5 lectures • 33min

Requirements

Description

Who this course is for: