Matplotlib Subplots Functionality - NumPy Video Tutorial - LinkedIn

Skip to main content

Solutions for:

Business Higher Education Government Buy for my team

From the course: NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

Unlock the full course today

Join today to access over 25,000 courses taught by industry experts.

Matplotlib subplots functionality - NumPy Tutorial

From the course: NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

Start my 1-month free trial Buy for my team

• Transcripts
• Exercise Files
• View Offline

Matplotlib subplots functionality

“

- [Instructor] Occasionally, it is useful to compare different views of data side by side. This is where subplots come into play. Subplots are group of small axis that can stand together between a single figure. They can be in sets, grids or plots or some other complicated layout. Let's explore two ways to achieve that with functions. Subplot function that creates only a single subplot between a grid and subplots function that creates a full grid of subplots at once. Let's start with learning the subplot function. We have already imported "numpy as np" and matplotlib dot pyplot as PLT. We are going to define figure by typing fig equals PLT dot figure and X equals N P dot arange three and Y equals two multiplied with X. In order to create four subplots we are going to use the subplot function. It takes these arguments, number of rows, number of columns and the third argument is the index of the plot we're referring…

Practice while you learn with exercise files

Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.

• Exercise File: Subscribe to access. Ex_Files_NumPy_EssT_2.zip

Download the exercise files for this course. Get started with a free trial today.

Download courses and learn on the go

Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.

Watch this course anytime, anywhere. Get started with a free trial today.

Contents

• Introduction Introduction
  • Introduction 52s
  • What you should know 57s
• 1. Plotting with Matplotlib 1. Plotting with Matplotlib
  • Why should you use Matplotlib? 2m 28s
  • (Locked) Matplotlib basics 5m 8s
  • (Locked) Understanding figures 4m 33s
  • (Locked) Matplotlib subplots functionality 2m 53s
  • (Locked) Understanding legends 3m
  • (Locked) Challenge: Implementing a figure 1m 8s
  • (Locked) Solution: Implementing a figure 2m 12s
• 2. Matplotlib Styling and Advanced Plots 2. Matplotlib Styling and Advanced Plots
  • Colors and styles 4m 32s
  • (Locked) Advanced Matplotlib commands 5m 25s
  • (Locked) Adding annotations 3m 1s
  • (Locked) Creating pie charts and bar charts 3m 23s
  • (Locked) Advanced plots 3m 14s
• 3. From Beginner to Advanced NumPy 3. From Beginner to Advanced NumPy
  • (Locked) Universal functions 2m 58s
  • (Locked) Introducing strides 3m 23s
  • (Locked) Structured arrays 2m 14s
  • (Locked) Dates and time in NumPy 3m 29s
• 4. Linear Algebra in NumPy 4. Linear Algebra in NumPy
  • (Locked) Linear algebra capabilities in NumPy 5m 8s
  • (Locked) Decomposition 4m 32s
  • (Locked) Polynomial mathematics 3m 54s
  • (Locked) Application: Linear regression 3m 27s
• Conclusion Conclusion
  • (Locked) Next steps 55s

*Price may change based on profile and billing country information entered during Sign In or Registration

Explore Business Topics

• Artificial Intelligence for Business
• Business Analysis and Strategy
• Business Software and Tools
• Career Development
• Customer Service
• Diversity, Equity, and Inclusion (DEI)
• Finance and Accounting
• Human Resources
• Leadership and Management
• Marketing
• Professional Development
• Project Management
• Sales
• Small Business and Entrepreneurship
• Training and Education

See all

Explore Creative Topics

• AEC
• Animation and Illustration
• Audio and Music
• Graphic Design
• Motion Graphics and VFX
• Photography
• Product and Manufacturing
• User Experience
• Video
• Visualization and Real-Time
• Web Design

See all

Explore Technology Topics

• Artificial Intelligence (AI)
• Cloud Computing
• Cybersecurity
• Data Science
• Database Management
• DevOps
• Hardware
• IT Help Desk
• Mobile Development
• Network and System Administration
• Software Development
• Web Development

See all