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Learning pandas

You're reading from   Learning pandas High performance data manipulation and analysis using Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787123137
Length 446 pages
Edition 2nd Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (16) Chapters Close

Preface 1. pandas and Data Analysis FREE CHAPTER 2. Up and Running with pandas 3. Representing Univariate Data with the Series 4. Representing Tabular and Multivariate Data with the DataFrame 5. Manipulating DataFrame Structure 6. Indexing Data 7. Categorical Data 8. Numerical and Statistical Methods 9. Accessing Data 10. Tidying Up Your Data 11. Combining, Relating, and Reshaping Data 12. Data Aggregation 13. Time-Series Modelling 14. Visualization 15. Historical Stock Price Analysis

Stacking and unstacking

Similar to the pivot function are the .stack() and .unstack() methods. The process of stacking pivots a level of column labels to the row index. Unstacking performs the opposite, that is, pivoting a level of the row index into the column index.

One of the differences between stacking/unstacking and performing a pivot is that unlike pivots, the stack and unstack functions are able to pivot specific levels of a hierarchical index. Also, where a pivot retains the same number of levels on an index, a stack and unstack always increases the levels on the index of one of the axes (columns for unstacking and rows for stacking) and decrease the levels on the other axis.

Stacking using non-hierarchical indexes

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