E-book details

Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition

Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition

Matt Harrison, Theodore Petrou

Ebook
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.
  • 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
  • Title: Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition
  • Author: Matt Harrison, Theodore Petrou
  • Original title: Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition
  • ISBN: 9781839218910, 9781839218910
  • Date of issue: 2020-02-27
  • Format: Ebook
  • Item ID: e_2abe
  • Publisher: Packt Publishing