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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 2. Up and Running with pandas FREE CHAPTER 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

Heads, tails, and takes

pandas provides the .head() and .tail() methods to examine the first (head) or last (tail) few rows in a Series. By default, these return the first or last five rows, but this can be changed using the n parameter.

Let's examine the usage given the following Series:

The following retrieves the first five rows:

The number of items can be changed using the n parameter (or just by specifying the number):

.tail() returns the last five rows:

It works similarly when specifying a number other than 5:

The .take() method returns the rows in a series at the specified integer position:

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