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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

Modifying a Series in-place

In-place modification of a Series is a slightly controversial topic. When possible, it is preferred to perform operations that return a new Series with the modifications represented in the new Series. But, if needed, it is possible to change values and add/remove rows in-place.

An additional row can be added in place to a series by assigning a value to an index label that does not already exist. The following code creates a Series object and adds an additional item to the series:

The value at a specific index label can be changed in place by assignment:

Rows can be removed from a Series by passing their index labels to the del() function. The following demonstrates removal of the row with the index label 'a':

To add and remove items out of place, you use pd.concat() to add and remove using a Boolean selection.

An important thing to keep...

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