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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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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

A summary of time series-related objects

There are many time series-related objects in pandas that are used for manipulating, creating, and processing timestamp data. The following table gives a summary of time series-related objects:

Object

Summary

datetime.datetime

This is a standard Python datetime class.

Timestamp

This is a pandas class derived from. datetime.datetime.

DatetimeIndex

This is a pandas class and is implemented as an immutable numpy.ndarray of the Timestamp/datetime object type.

Period

This is a pandas class representing a time period.

PeriodIndex

This is a pandas class and is implemented as an immutable numpy.ndarray of the Period object type.

DateOffset

DataOffset is used to move forward a date by a given number of valid dates (days, weeks, months, and so on).

timedelta

Timedelta calculates the difference in time...

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