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You're reading from  Pandas 1.x Cookbook - Second Edition

Product typeBook
Published inFeb 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839213106
Edition2nd Edition
Languages
Python
Tools
Pandas
Concepts
Programming Language
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Authors (2):
Matt Harrison
Matt Harrison
author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

Theodore Petrou
Theodore Petrou
author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

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Understanding the differences between seaborn and pandas

The seaborn library is a popular Python library for creating visualizations. Like pandas, it does not do any actual plotting itself and is a wrapper around matplotlib. Seaborn plotting functions work with pandas DataFrames to create aesthetically pleasing visualizations.

While seaborn and pandas both reduce the overhead of matplotlib, the way they approach data is completely different. Nearly all of the seaborn plotting functions require tidy (or long) data.

Processing tidy data during data analysis often creates aggregated or wide data. This data, in wide format, is what pandas uses to make its plots.

In this recipe, we will build similar plots with both seaborn and pandas to show the types of data (tidy versus wide) that they accept.

How to do it…

  1. Read in the employee dataset: 
    >>> employee = pd.read_csv('data/employee.csv',
...     parse_dates=['HIRE_DATE...
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Pandas 1.x Cookbook - Second Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781839213106
© 2020 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

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