Skip to content
Felix
  • Topics
    • My List
    • Felix Guide
    • Asset Management
    • Coding and Data Analysis
      • AI
      • Data Analysis and Visualization
      • Financial Data Tools
      • Python
      • SQL
    • Credit
      • Credit Analysis
      • Restructuring
    • Financial Literacy Essentials
      • Financial Data Tools
      • Financial Math
      • Foundations of Accounting
    • Industry Specific
      • Banks
      • Chemicals
      • Consumer
      • ESG
      • Insurance
      • Oil and Gas
      • Pharmaceuticals
      • Project Finance
      • Real Estate
      • Renewable Energy
      • Technology
      • Telecoms
    • Introductory Courses
    • Investment Banking
      • Accounting
      • Financial Modeling
      • M&A and Divestitures
      • Private Debt
      • Private Equity
      • Valuation
      • Venture Capital
    • Markets
      • Economics
      • Equity Markets and Derivatives
      • Fixed Income and Derivatives
      • Introduction to Markets
      • Options and Structured Products
      • Other Capital Markets
      • Securities Services
    • Microsoft Office
      • Excel
      • PowerPoint
      • Word & Outlook
    • Professional Skills
      • Career Development
      • Expert Interviews
      • Interview Skills
    • Risk Management
    • Transaction Banking
    • Felix Live
  • Pathways
    • Investment Banking
    • Asset Management
    • Equity Research
    • Sales and Trading
    • Commercial Banking
    • Engineering
    • Operations
    • Private Equity
    • Credit Analysis
    • Restructuring
    • Venture Capital
    • CFA Institute
  • Certified Courses
  • Ask An Instructor
  • Support
  • Log in
  • Topics
    • My List
    • Felix Guide
    • Asset Management
    • Coding and Data Analysis
      • AI
      • Data Analysis and Visualization
      • Financial Data Tools
      • Python
      • SQL
    • Credit
      • Credit Analysis
      • Restructuring
    • Financial Literacy Essentials
      • Financial Data Tools
      • Financial Math
      • Foundations of Accounting
    • Industry Specific
      • Banks
      • Chemicals
      • Consumer
      • ESG
      • Insurance
      • Oil and Gas
      • Pharmaceuticals
      • Project Finance
      • Real Estate
      • Renewable Energy
      • Technology
      • Telecoms
    • Introductory Courses
    • Investment Banking
      • Accounting
      • Financial Modeling
      • M&A and Divestitures
      • Private Debt
      • Private Equity
      • Valuation
      • Venture Capital
    • Markets
      • Economics
      • Equity Markets and Derivatives
      • Fixed Income and Derivatives
      • Introduction to Markets
      • Options and Structured Products
      • Other Capital Markets
      • Securities Services
    • Microsoft Office
      • Excel
      • PowerPoint
      • Word & Outlook
    • Professional Skills
      • Career Development
      • Expert Interviews
      • Interview Skills
    • Risk Management
    • Transaction Banking
    • Felix Live
  • Pathways
    • Investment Banking
    • Asset Management
    • Equity Research
    • Sales and Trading
    • Commercial Banking
    • Engineering
    • Operations
    • Private Equity
    • Credit Analysis
    • Restructuring
    • Venture Capital
    • CFA Institute
  • Certified Courses
Felix
  • Data
    • Company Analytics
    • My Filing Annotations
    • Market & Industry Data
    • United States
    • Relative Valuation
    • Discount Rate
    • Building Forecasts
    • Capital Structure Analysis
    • Europe
    • Relative Valuation
    • Discount Rate
    • Building Forecasts
    • Capital Structure Analysis
  • Models
  • Account
    • Edit my profile
    • My List
    • Restart Homepage Tour
    • Restart Company Analytics Tour
    • Restart Filings Tour
  • Log in
  • Ask An Instructor
    • Email Our Experts
    • Felix User Guide
    • Contact Support

Legacy – Matplotlib

Learn to use the Matplotlib Library to visualize the cleaned financial datasets.

Unlock Your Certificate   
 
0% Complete

15 Lessons (26m)

Show lesson playlist
  • 1. Legacy – About Matplotlib

    01:04
  • 2. Legacy – Pyplot

    01:15
  • 3. Legacy – Plotting Options

    01:44
  • 4. Legacy – Installing Matplotlib

    01:00
  • 5. Legacy – Basic Chart Straight Line Workout

    01:49
  • 6. Legacy – Basic Chart Varying Values Workout

    01:54
  • 7. Legacy – Basic Chart Defining Axis Limit Workout

    01:49
  • 8. Legacy – Basic Chart Multiple Plots Workout

    02:01
  • 9. Legacy – Basic Charts Plot Color and Types Workout

    01:30
  • 10. Legacy – Basic Chart Axis Label Workout

    01:08
  • 11. Legacy – Multiple Sub Charts Workout

    03:37
  • 12. Legacy – Box Chart Workout

    01:39
  • 13. Legacy – Multiple Box Chart Workout

    02:29
  • 14. Legacy – Histograms Workout

    01:56
  • 15. Matplotlib Tryout


Prev: Legacy – Pandas Next: Legacy – Dates and Times

Legacy – Multiple Sub Charts Workout

  • Notes
  • Questions
  • Transcript
  • 03:37

Workout demonstrating how to create a chart with multiple subcharts in Python.

Downloads

Multiple Sub Charts - Python Workout Files

Glossary

Matplotlib Sub Charts
Back to top
Financial Edge Training

© Financial Edge Training 2025

Topics
Introduction to Finance Accounting Financial Modeling Valuation M&A and Divestitures Private Equity
Venture Capital Project Finance Credit Analysis Transaction Banking Restructuring Capital Markets
Asset Management Risk Management Economics Data Science and System
Request New Content
System Account User Guide Privacy Policy Terms & Conditions Log in
Transcript

Let us now look at an example of plotting categorical values. So let's assume we have a list of tickers and the closing share prices. And we would like to plot the figure, and you would like to plot three different sub charts in the same window. How do you do it. So before we do anything, we need to first import the matplotlib library. Now read create the data. So we have the names or the tickers as Amazon, Apple, and Google.

Now we have the closing share price one is 1734.7, 262.1, 1301.4. Lets run this. So that's the data set. Now, we would like to plot the figure. And first we would define the figure size, there are many options of finger sizes. But when you want to plot three fingers, one option is setting the figure size as nine and three. Now you want to make the first subplot. So you need to define where you want the first subplot to be. So the first subplot will be at the first plot three, and one what the one at the end meaning it's in the first position out of the three plots. And this would be a bar chart, bar of names and values. The next one would be one three too, in the second position, and this would be a scatterplot of the names and values. Again, the third sub plot, now you can guess it, it's going to be the third place. Out of the three sub plot, the first number represents the number of rows, we have one row out of the three columns, it's in the third position. So that's how the 133 comes out, and one three through in the first group, out of the three columns, it's in the second position. And that's the same case with 131. And now this would be a histogram, or it's just a standard plot. Names and values. Now we need the subtitling of the plot. So we said plot subtitle. Price companies standard procedure plt . show, and we run this. Perfect, there we go. We've called three different plots. The first one would be a bar chart, the second would be a scatter plot. And the third would be a standard plot, which is a line perfect. And it's a similar procedure to do any different kind of plot, which are three different sub plots or it can be four or five, any number

Content Requests and Questions

You are trying to access premium learning content.

Discover our full catalogue and purchase a course Access all courses with our premium plans or log in to your account
Help

You need an account to contact support.

Create a free account or log in to an existing one

Sorry, you don't have access to that yet!

You are trying to access premium learning content.

Discover our full catalogue and purchase a course Access all courses with our premium plans or log in to your account

You have reached the limit of annotations (10) under our premium subscription. Upgrade to unlock unlimited annotations.

Find out more about our premium plan

You are trying to access content that requires a free account. Sign up or login in seconds!

Create a free account or log in to an existing one

You are trying to access content that requires a premium plan.

Find out more about our premium plan or log in to your account

Only US listed companies are available under our Free and Boost plans. Upgrade to Pro to access over 7,000 global companies across the US, UK, Canada, France, Italy, Germany, Hong Kong and more.

Find out more about our premium plan or log in to your account

A pro account is required for the Excel Add In

Find out more about our premium plan

Congratulations on completing

This field is hidden when viewing the form
Name(Required)
This field is hidden when viewing the form
Rate this course out of 5, where 5 is excellent and 1 is terrible.
Were the stated learning objectives met?(Required)
Were the stated prerequisite requirements appropriate and sufficient?(Required)
Were the program materials, including the qualified assessment, relevant and did they contribute to the achievement of the learning objectives?(Required)
Was the time allotted to the learning activity appropriate?(Required)
Are you happy for us to use your feedback and details in future marketing?(Required)

Thank you for already submitting feedback for this course.

CPE

What is CPE?

CPE stands for Continuing Professional Education, by completing learning activities you earn CPE credits to retain your professional credentials. CPE is required for Certified Public Accountants (CPAs). Financial Edge Training is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.

What are CPE credits?

For self study programs, 1 CPE credit is awarded for every 50 minutes of elearning content, this includes videos, workouts, tryouts, and exams.

CPE Exams

You must complete the CPE exam within 1 year of accessing a related playlist or course to earn CPE credits. To see how long you have left to complete a CPE exam, hover over the locked CPE credits button.

What if I'm not collecting CPE credits?

CPE exams do not count towards your FE certification. You do not need to complete the CPE exam if you are not collecting CPE credits, but you might find it useful for your own revision.


Further Help
  • Felix How to Guide walks you through the key functions and tools of the learning platform.
  • Playlists & Tryouts: Playlists are a collection of videos that teach you a specific skill and are tested with a tryout at the end. A tryout is a quiz that tests your knowledge and understanding of what you have just learned.
  • Exam: If you are collecting CPE points you must pass the relevant CPE exam within 1 year to receive credits.
  • Glossary: A glossary can be found below each video and provides definitions and explanations for terms and concepts. They are organized alphabetically to make it easy for you to find the term you need.
  • Search function: Use the Felix search function on the homepage to find content related to what you want to learn. Find related video content, lessons, and questions people have asked on the topic.
  • Closed Captions & Transcript: Closed captions and transcripts are available on videos. The video transcript can be found next to the closed captions in the video player. The transcript feature allows you to read the transcript of the video and search for key terms within the transcript.
  • Questions: If you have questions about the course content, you will find a section called Ask a Question underneath each video where you can submit questions to our expert instructor team.