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Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way
book

Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way

by Hannah Stepanek
June 2020
Beginner to intermediate
190 pages
3h 12m
English
Apress
Content preview from Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way
© Hannah Stepanek 2020
H. StepanekThinking in Pandashttps://doi.org/10.1007/978-1-4842-5839-2_5

5. Basic Data Transformation in pandas

Hannah Stepanek1 
(1)
Portland, OR, USA
 

The pandas library has a huge API that provides many ways of transforming data. In this chapter, we’ll cover some of the most powerful and most popular ways to transform data in pandas.

Pivot and pivot table

Pivot and pivot table are very popular and particularly attractive to beginners because they are so powerful. However, their powerfulness comes at a performance cost. While pivot is a great tool for initially transforming the DataFrame as part of a data normalization step, it should not be used frequently throughout the data analysis phase. Listing 5-1 shows an example of using ...
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ISBN: 9781484258392Purchase LinkPublisher Website