Pandas 1.x Cookbook

2 /E

Matt Harrison , Petrou, Theodore 저자(글)

Packt Publishing · 2020년 06월 01일

책 소개

Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.

Key Features
This is the first book on pandas 1.x
Practical, easy to implement recipes for quick solutions to common problems in data using pandas
Master the fundamentals of pandas to quickly begin exploring any dataset
Book Description
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.

This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.

What you will learn
Master data exploration in pandas through dozens of practice problems
Group, aggregate, transform, reshape, and filter data
Merge data from different sources through pandas SQL-like operations
Create visualizations via pandas hooks to matplotlib and seaborn
Use pandas, time series functionality to perform powerful analyses
Import, clean, and prepare real-world datasets for machine learning
Create workflows for processing big data that doesn't fit in memory
Who this book is for
This book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.

작가정보

저자(글) Matt Harrison

Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books.

저자(글) Petrou, Theodore

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.

목차

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

기본정보

ISBN	9781839213106 ( 1839213108 )
발행(출시)일자	2020년 06월 01일
쪽수	604쪽
크기	191 * 235 * 33 mm / 1149 g
총권수	1권
언어	영어