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You're reading from  Matplotlib 3.0 Cookbook

Product typeBook
Published inOct 2018
PublisherPackt
ISBN-139781789135718
Edition1st Edition
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Authors (2):
Srinivasa Rao Poladi
Srinivasa Rao Poladi
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Srinivasa Rao Poladi

Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers. He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics. He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.
Read more about Srinivasa Rao Poladi

Nikhil Borkar
Nikhil Borkar
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Nikhil Borkar

Nikhil Borkar holds a CQF designation and a post Graduate Degree in Quantitative finance. He also holds the Certified Financial Crime examiner and Certified Anti-Money Laundering Professional qualifications. He is a registered Research Analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to Securities and Investments. He is currently working as an independent FinTech and legal consultant. Prior to this, the worked with Morgan Stanley Capital International (MSCI) as a Global RFP Project Manager.
Read more about Nikhil Borkar

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Categorical plots

A categorical plot is used when one of the two variables being plotted is categorical, instead of both being continuous. Seaborn enhances a few of the categorical plots provided by Matplotlib and also adds a few additional ones. We will cover five such groups of plots in this section.

Seaborn provides one common API, catplot(), to cover all such plots. This makes it easier to familiarize yourself with a common set of arguments that can be passed to plot all types of categorical plots. However, each of the different functions can be used directly, and at times some of them may offer unique features that are not common to all types of plots. Please refer to the documentation on each of the specific plots at https://seaborn.pydata.org/api.html.

Strip and swarm plots

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Matplotlib 3.0 Cookbook
Published in: Oct 2018Publisher: PacktISBN-13: 9781789135718

Authors (2)

author image
Srinivasa Rao Poladi

Srinivasa Rao Poladi has been in the IT services industry for over two decades, providing consulting and implementation services in data warehousing, business intelligence, and machine learning areas for global customers. He has worked with Wipro Technologies for two decades and played key leadership roles in building large technology practices and growing them to multi-million $ business. He spoke at international conferences, published many blogs and white papers in the areas of big data, business intelligence, and analytics. He is a co-founder of krtrimaIQ a consulting firm that provides cognitive solutions to create tomorrow's Intelligent Enterprises powered by automation, big data, machine learning, and deep learning.
Read more about Srinivasa Rao Poladi

author image
Nikhil Borkar

Nikhil Borkar holds a CQF designation and a post Graduate Degree in Quantitative finance. He also holds the Certified Financial Crime examiner and Certified Anti-Money Laundering Professional qualifications. He is a registered Research Analyst with the Securities and Exchange Board of India (SEBI) and has a keen grasp of the Indian regulatory landscape pertaining to Securities and Investments. He is currently working as an independent FinTech and legal consultant. Prior to this, the worked with Morgan Stanley Capital International (MSCI) as a Global RFP Project Manager.
Read more about Nikhil Borkar