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Mastering pandas

You're reading from   Mastering pandas A complete guide to pandas, from installation to advanced data analysis techniques

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Length 674 pages
Edition 2nd Edition
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Author (1):
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Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Overview of Data Analysis and pandas FREE CHAPTER
2. Introduction to pandas and Data Analysis 3. Installation of pandas and Supporting Software 4. Section 2: Data Structures and I/O in pandas
5. Using NumPy and Data Structures with pandas 6. I/Os of Different Data Formats with pandas 7. Section 3: Mastering Different Data Operations in pandas
8. Indexing and Selecting in pandas 9. Grouping, Merging, and Reshaping Data in pandas 10. Special Data Operations in pandas 11. Time Series and Plotting Using Matplotlib 12. Section 4: Going a Step Beyond with pandas
13. Making Powerful Reports In Jupyter Using pandas 14. A Tour of Statistics with pandas and NumPy 15. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates 16. Data Case Studies Using pandas 17. The pandas Library Architecture 18. pandas Compared with Other Tools 19. A Brief Tour of Machine Learning 20. Other Books You May Enjoy

Understanding the pandas file hierarchy

Generally, upon installation, pandas is installed as a Python module in a standard location for third-party Python modules. In the following table, you will see the standard installation location for Unix/ macOS and the Windows platform:

Platform

Standard installation location

Example

Unix/macOS

prefix/lib/pythonX.Y/site-packages

/usr/local/lib/python2.7/site-packages

Windows

prefix\Lib\site-packages

C:\Python27\Lib\site-packages

If Python installation was done with Anaconda, then the pandas module can be found in the Anaconda directory, within a similar file path: Anaconda3\pkgs\pandas-0.23.4-py37h830ac7b_0\Lib\site-packages\pandas.

Now that we have had a look at the module on third-party Python modules, we will understand the file hierarchy. There are eight types of file in the installed Pandas library....

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