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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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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

Installing and importing NumPy


Since NumPy is a prerequisite for pandas, and you have already installed pandas, NumPy is ready to be used. All that is required to do to use NumPy is to import the library and so all that is required for the examples in this chapter and for most of this book is the following import command:

In [1]:
   # this allows us to access numpy using the
   # np. prefix
   import numpy as np

This makes the top-level functions of NumPy available in the np namespace. This is a common practice when using NumPy, and this book will follow this convention for accessing NumPy functionality.

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