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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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Tools
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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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Toc

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

Reading HDF formats

The Hierarchical Data Format (HDF) is efficient in handling large and complex data models. The versatility and flexibility of HDF in data storage make it a sought after format for storing scientific data. In fact, HDF was selected as the standard data and information system by NASA, for use in the Earth Observing System. HDF5 is the current technological suite used by the HDF file format and replaced the older HDF4.

The following are some unique features of HDF5:

  • HDF5 has no set limits regarding file size and the objects in the file.
  • HDF5 can group and link objects in the file, thereby facilitating as a supportive mechanism for complex relationships and dependencies in data.
  • HDF5 also supports metadata.
  • While accommodating a variety of predefined and user-defined data types, HDF5 also has the ability to store and share data type descriptions in HDF files.
  • ...
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