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Pandas Cookbook

You're reading from   Pandas Cookbook Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781784393878
Length 532 pages
Edition 1st Edition
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Author (1):
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Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
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Table of Contents (12) Chapters Close

Preface 1. Pandas Foundations 2. Essential DataFrame Operations FREE CHAPTER 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 a Tidy Form 9. Combining Pandas Objects 10. Time Series Analysis 11. Visualization with Matplotlib, Pandas, and Seaborn

Boolean Indexing

In this chapter, we will cover the following topics:

  • Calculating boolean statistics
  • Constructing multiple boolean conditions
  • Filtering with boolean indexing
  • Replicating boolean indexing with index selection
  • Selecting with unique and sorted indexes
  • Gaining perspective on stock prices
  • Translating SQL WHERE clauses
  • Determining the normality of stock market returns
  • Improving readability of boolean indexing with the query method
  • Preserving Series with the where method
  • Masking DataFrame rows
  • Selecting with booleans, integer location, and labels
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