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Pandas 1.x Cookbook - Second Edition

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

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781839213106
Pages 626 pages
Edition 2nd Edition
Languages
Concepts
Authors (2):
Matt Harrison Matt Harrison
Profile icon Matt Harrison
LinkedIn
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.
See other products by Matt Harrison
Theodore Petrou Theodore Petrou
Profile icon Theodore Petrou
LinkedIn
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.
See other products by Theodore Petrou
View More author details

Table of Contents (17) Chapters

Preface 1. Pandas Foundations 2. Essential DataFrame Operations 3. Creating and Persisting DataFrames 4. Beginning Data Analysis 5. Exploratory Data Analysis 6. Selecting Subsets of Data 7. Filtering Rows 8. Index Alignment 9. Grouping for Aggregation, Filtration, and Transformation 10. Restructuring Data into a Tidy Form 11. Combining Pandas Objects 12. Time Series Analysis 13. Visualization with Matplotlib, Pandas, and Seaborn 14. Debugging and Testing Pandas 15. Other Books You May Enjoy
16. Index

Using the pandas profiling library

There is a third-party library, pandas Profiling (https://pandas-profiling.github.io/pandas-profiling/docs/), that creates reports for each column. These reports are similar to the output of the .describe method, but include plots and other descriptive statistics.

In this section, we will use the pandas Profiling library on the fuel economy data. Use pip install pandas-profiling to install the library.

How to do it…

  1. Run the profile_report function to create an HTML report: 
    >>> import pandas_profiling as pp
>>> pp.ProfileReport(fueleco)
pandas profiling summary

pandas profiling summary

pandas profiling details

pandas profiling details

How it works…

The pandas Profiling library generates an HTML report. If you are using Jupyter, it will create it inline. If you want to save this report to a file (or if you are not using Jupyter), you can use the .to_file method:

>>> report = pp.ProfileReport...
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Authors (2)

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Profile icon Matt Harrison
LinkedIn
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.
See other products by Matt Harrison
Profile icon Theodore Petrou
LinkedIn
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.
See other products by Theodore Petrou
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