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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
Languages
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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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Toc

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

Removing the MultiIndex after grouping

Inevitably, when using groupby, you will likely create a MultiIndex in the columns or rows or both. DataFrames with MultiIndexes are more difficult to navigate and occasionally have confusing column names as well.

Getting ready

In this recipe, we perform an aggregation with the groupby method to create a DataFrame with a MultiIndex for the rows and columns and then manipulate it so that the index is a single level and the column names are descriptive.

How to do it...

  1. Read in the flights dataset; write a statement to find the total...
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