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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

Selecting columns with methods

Although column selection is usually done directly with the indexing operator, there are some DataFrame methods that facilitate their selection in an alternative manner. select_dtypes and filter are two useful methods to do this.

Getting ready

You need to be familiar with all pandas data types and how to access them. The Understanding data types recipe in Chapter 1, Pandas Foundations, has a table with all pandas data types.

How it works...

  1. Read in the movie dataset, and use the title of the movie to label each row. Use the get_dtype_counts...
You have been reading a chapter from
Pandas Cookbook
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781784393878
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