Pandas 1.x Cookbook - Second Edition
Harrison, Matt, Petrou, Theodore
- 出版商: Packt Publishing
- 出版日期: 2020-02-28
- 售價: $1,770
- 貴賓價: 9.5 折 $1,682
- 語言: 英文
- 頁數: 626
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1839213108
- ISBN-13: 9781839213106
-
相關翻譯:
Python 資料分析必備套件!Pandas 資料清理、重塑、過濾、視覺化 (Pandas 1.x Cookbook, 2/e) (繁中版)
Pandas1.x實例精解 (簡中版)
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商品描述
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.
作者簡介
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.
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.
目錄大綱
- Pandas Foundations
- Essential DataFrame Operations
- Creating and Persisting DataFrames
- Beginning Data Analysis
- Exploratory Data Analysis
- Selecting Subsets of Data
- Filtering Rows
- Index Alignment
- Grouping for Aggregation, Filtration and Transformation
- Restructuring Data into a Tidy Form
- Combining Pandas Objects
- Time Series Analysis
- Visualization with Matplotlib, Pandas, and Seaborn
- Debugging and Testing Pandas