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Data Visualization Recipes with Python and Matplotlib 3 [Video]
Data Visualization Recipes with Python and Matplotlib 3 [Video]

Data Visualization Recipes with Python and Matplotlib 3: Practical recipes for creating interactive data visualizations easily with Matplotlib 3 [Video]

By BignumWorks Software LLP , Harish Garg
€14.99 per month
Video Feb 2019 1 hours 27 minutes 1st Edition
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€14.99 Monthly
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Product Details


Publication date : Feb 28, 2019
Length 1 hours 27 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781789957792
Category :

Key benefits

  • • 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

Description

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

What you will learn

• Draw various kinds of plots using Matplotlib • Visualize and gain insights into a real-world dataset via different chart types • Use practical recipes to draw subplots, histograms, heat maps, box plots, and pie charts • Customize plots and charts for data visualizations in an appealing way • Build plots from the ground-up with scaffolding • Manipulate plot, axes, and figures • Build Matplotlib 3D graphs functionality to visualize data with multiple variables and dimensions • Use wire framing techniques and plot complex data with Matplotlib 3 • Make your data visualizations animated and interactive • Use Matplotlib 3’s animation and interactive capabilities to spice up your data visualizations • Use real-world dataset of stocks to learn the techniques • Troubleshoot both common and tricky data visualizations while creating plots with Matplotlib 3

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details


Publication date : Feb 28, 2019
Length 1 hours 27 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781789957792
Category :

Table of Contents

7 Chapters
Visualizing Data on Different Kinds of Plots Chevron down icon Chevron up icon
Gain Insights into Data via Different Chart Types Chevron down icon Chevron up icon
Customizing Plots and Charts for Data Visualizations Chevron down icon Chevron up icon
Plot Scaffolding, Axes, and Figures Chevron down icon Chevron up icon
Building 3D Graphs and Wireframes Chevron down icon Chevron up icon
Make Your Data Visualizations Animated and Interactive Chevron down icon Chevron up icon
Troubleshoot Matplotlib Chevron down icon Chevron up icon

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