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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

Retrieving values in a Series by label or position

Values in a Series can be retrieved in two general ways: by index label or by 0-based position. Pandas provides you with a number of ways to perform either of these lookups. Let's examine a few of the common techniques.

Lookup by label using the [] operator and the .ix[] property

An implicit label lookup is performed using the [] operator. This operator normally looks up values based upon the given index labels.

Let's start by using the following Series:

A single value can be looked up using just the index label of the desired item:

Multiple items can be retrieved at once using a list of index labels:

We can also look up values using integers that represent positions...

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