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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

Theodore Petrou

E-book
This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas 0.20. 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.

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 like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.

Many advanced recipes combine several different features across the pandas 0.20 library to generate results.
  • 1. Pandas Foundations
  • 2. Essential DataFrame Operations
  • 3. Beginning Data Analysis
  • 4. Selecting Subsets of Data
  • 5. Boolean Indexing
  • 6. Index Alignment
  • 7. Grouping for Aggregation, Filtration and Transformation
  • 8. Restructuring Data into Tidy Form
  • 9. Joining multiple pandas objects
  • 10. Time Series
  • 11. Visualization
  • Titel: Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
  • Autor: Theodore Petrou
  • Originaler Titel: Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
  • ISBN: 9781784393342, 9781784393342
  • Veröffentlichungsdatum: 2017-10-23
  • Format: E-book
  • Artikelkennung: e_15rg
  • Verleger: Packt Publishing