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Data Visualization Recipes with Python and Matplotlib 3

Video Description

Become a data visualizations expert with Matplotlib 3 by learning effective and practical data visualization recipes

About This Video

  • This course will help you visualize all kinds of datasets in Matplotlib 3 using practical recipes that you can take and apply to your own data
  • Each video is a standalone recipe that provides solutions for a data visualization problem
  • Enough Matplotlib 3 functionality is covered in this course for you to become an excellent data visualization expert
  • This course covers the latest version of Matplotlib 3

In Detail

Creating custom visualizations with Matplotlib on real-world data can be tricky, sometimes with a lot of different features and complex code. As a data analyst or a data scientist, you don’t want to get bogged down. You really want to get those Data visualizations in front of the audience.

This course cuts down all the complexities and unnecessary details. It boils it down to the things you really need to get those visualizations going quickly and efficiently. The course gives you practical recipes to do what exactly needs to be done in the minimum amount of time. All the examples are based on real-world data with practical visualization solutions.

By the end of the course, you’ll be able to get the most out of data visualizations where Matplotlib 3 is concerned.

All the code files are present on GitHub : https://github.com/PacktPublishing/Data-Visualization-Recipes-with-Python-and-Matplotlib-3

Table of Contents

  1. Chapter 1 : Visualizing Data on Different Kinds of Plots
    1. Course Overview 00:04:03
    2. Getting Data into Matplotlib 00:03:29
    3. Drawing Scatter Plots 00:05:11
    4. Creating Line Plots 00:04:17
    5. Visualizing Data with Bar Charts 00:03:37
  2. Chapter 2 : Gain Insights into Data via Different Chart Types
    1. Drawing Subplots 00:04:54
    2. Creating Histograms 00:04:09
    3. Building Heatmaps 00:01:49
    4. Plotting Data on Box Plots 00:01:32
    5. Drawing Pie Charts 00:04:05
  3. Chapter 3 : Customizing Plots and Charts for Data Visualizations
    1. Customizing Labels, Titles, and Legends 00:05:53
    2. Adding Grids and Customizing Ticks 00:03:10
    3. Using Matplotlib Styles 00:03:09
    4. Creating Custom Styles 00:03:20
    5. Plot Annotation 00:02:10
  4. Chapter 4 : Plot Scaffolding, Axes, and Figures
    1. Build Plots from the Ground-Up Using Plot Scaffolding 00:02:48
    2. Building Custom Plots Using Figures 00:02:05
    3. Customizing Plot Axes 00:01:58
  5. Chapter 5 : Building 3D Graphs and Wireframes
    1. Building 3D Graphs Using Wireframe 00:02:09
    2. Creating 3D Scatter Plots 00:01:21
    3. Drawing 3D Bar Charts 00:01:11
    4. Customizing Wireframes 00:01:38
  6. Chapter 6 : Make Your Data Visualizations Animated and Interactive
    1. Drawing Animated Graphs 00:02:21
    2. Building an Animated Histogram 00:01:38
    3. Creating Animated subplots 00:01:07
    4. Adding Interactivity to Plots 00:01:12
    5. Creating Visualizations that Update Interactively with Data 00:01:48
  7. Chapter 7 : Troubleshoot Matplotlib
    1. Change the Plot Sizes 00:00:59
    2. Save Plot Image to a File 00:01:47
    3. Create Legend Outside the Plot 00:01:32
    4. Display Plots Inline in a Notebook 00:01:38
    5. Clear a Plot 00:00:51
    6. Change Font Sizes of Plot Elements 00:02:19
    7. Troubleshoot Value Errors 00:02:24