使用 Pandas 进行数据分析的终极初学者指南
The Ultimate Beginners Guide to Data Analysis with Pandas
- 1. Introduction
- 1. Course content
- 2. Series
- 1. Installation
- 2. Creating series
- 3. Slicing
- 4. Copy, conversion, and concatenation
- 5. Accessing elements with iloc
- 6. Accessing elements with loc
- 7. Ordering
- 8. Counting
- 9. Filtering
- 10. Mathematical operations
- 11. String operations
- 12. Numerical grouping
- 13. Categorical grouping
- 14. Missing values
- 15. Functions
- 16. HOMEWORK
- 17. Homework solution
- 3. Dataframes
- 1. Creating dataframes
- 2. Exploring dataframes
- 3. Accessing elements with iloc and loc
- 4. Deleting rows and columns
- 5. Duplicated rows
- 6. Missing values
- 7. Counting
- 8. Ordering
- 9. Filtering
- 10. Rename and reorder columns
- 11. Creating new columns
- 12. Categorical features
- 13. Aggregation
- 14. Grouping
- 15. Grouping with aggregation
- 16. Aggregation with transform
- 17. Pivot tables
- 18. Concatenation and joining
- 19. Date conversions
- 20. Date indexes
- 21. Importation and exportation
- 22. HOMEWORK
- 23. Homework solution
- 4. Data visualization
- 1. Line plot
- 2. Formatting
- 3. Subplots
- 4. Bar and pizza plots
- 5. Scatter plot
- 6. Histogram
- 7. HOMEWORK
- 8. Homework solution
- 5. Final remarks
- 1. Final remarks
- 2. BONUS