- Learning pandas
- Table of Contents
- Learning pandas
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. A Tour of pandas
- 2. Installing pandas
- 3. NumPy for pandas
- Installing and importing NumPy
- Benefits and characteristics of NumPy arrays
- Creating NumPy arrays and performing basic array operations
- Selecting array elements
- Logical operations on arrays
- Slicing arrays
- Reshaping arrays
- Combining arrays
- Splitting arrays
- Useful numerical methods of NumPy arrays
- Summary
- 4. The pandas Series Object
- 5. The pandas DataFrame Object
- Creating DataFrame from scratch
- Example data
- Selecting columns of a DataFrame
- Selecting rows and values of a DataFrame using the index
- Selecting rows of a DataFrame by Boolean selection
- Modifying the structure and content of DataFrame
- Arithmetic on a DataFrame
- Resetting and reindexing
- Hierarchical indexing
- Summarized data and descriptive statistics
- Summary
- 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
Author
Michael Heydt
Reviewers
Bill Chambers
S. Shelly Jang
Arun Karunagath Rajeevan
Daniel Velkov
Adrian Wan
Commissioning Editor
Kartikey Pandey
Acquisition Editor
Neha Nagwekar
Content Development Editor
Akshay Nair
Technical Editors
Shashank Desai
Chinmay Puranik
Copy Editors
Roshni Banerjee
Pranjali Chury
Stuti Srivastava
Project Coordinator
Mary Alex
Proofreaders
Simran Bhogal
Paul Hindle
Linda Morris
Christopher Smith
Indexer
Monica Ajmera Mehta
Graphics
Sheetal Aute
Production Coordinator
Arvindkumar Gupta
Cover Work
Arvindkumar Gupta
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.