
Ultimate Pandas for Data Manipulation and Visualization
Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Ultimate Pandas for Data Manipulation and Visualization
Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library (English Edition)
About this book
Unlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- About the Author
- About the Technical Reviewers
- Acknowledgements
- Preface
- Get a Free eBook
- Errata
- Table of Contents
- 1. Introduction to Pandas and Data Analysis
- 2. Pandas Series
- 3. Pandas DataFrame
- 4. Data Cleaning with Pandas
- 5. Data Filtering with Pandas
- 6. Grouping and Aggregating Data
- 7. Reshaping and Pivoting in Pandas
- 8. Joining and Merging Data in Pandas
- 9. Introduction to Time Series Analysis in Pandas
- 10. Visualization Using Matplotlib
- 11. Analyzing Bank Customer Churn Using Pandas
- Index