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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
Languages
Tools
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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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Toc

Table of Contents (14) Chapters Close

Preface 1. A Tour of pandas FREE CHAPTER 2. Installing pandas 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

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text are shown as follows: "This information can be easily imported into DataFrame using the pd.read_csv() function as follows."

Any command-line / IPython input or output is written as follows:

In [1]:
   # import numpy and pandas, and DataFrame / Series
   import numpy as np
   import pandas as pd
   from pandas import DataFrame, Series

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "Clicking on the New Notebook button will present you with a notebook where you can start entering your pandas code."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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Tech Concepts
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Programming languages
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