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Learning Pandas

You're reading from   Learning Pandas Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783985128
Length 504 pages
Edition 1st 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 (14) Chapters Close

Preface 1. A Tour of pandas 2. Installing pandas FREE CHAPTER 3. NumPy for pandas 4. The pandas Series Object 5. The pandas DataFrame Object 6. Accessing Data 7. Tidying Up Your Data 8. Combining and Reshaping Data 9. Grouping and Aggregating Data 10. Time-series Data 11. Visualization 12. Applications to Finance Index

Creating Series

A Series can be created and initialized by passing either a scalar value, a NumPy ndarray, a Python list, or a Python Dict as the data parameter of the Series constructor. This is the default parameter and does not need to be specified if it is the first item.

The index parameter of the constructor assigns a user defined index to the Series that functions similar to a database index. This index provides a means to look up elements in the Series by index label and not by the elements' position in the array.

If you do not specify an index at the creation of a Series, the Series object will construct an index automatically using integer values starting from zero and increasing by one for each item in the Series.

The simplest means of creating a Series is from a scalar value. A Series with a single value has important uses in various mathematical operations such as applying a unified value across all the elements of another Series or DataFrame. The following code creates a...

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