Pandas Library

  1. Advanced Topics and Performance
    1. Categorical Data Type
      1. Creating Categorical Data
        1. .cat Accessor
          1. Renaming Categories
            1. Reordering Categories
              1. Adding Categories
                1. Removing Categories
                2. Benefits of Categorical Data
                  1. Memory Efficiency
                    1. Improved Performance
                      1. Sorting and Grouping with Categoricals
                    2. Performance Optimization
                      1. Memory Usage Analysis
                        1. memory_usage() Method
                        2. Efficient Data Types
                          1. Downcasting Numeric Types
                            1. Using Categorical Types
                              1. String vs Object Types
                              2. File Format Optimization
                                1. Parquet Format Benefits
                                  1. Feather Format Benefits
                                    1. Compression Options
                                    2. Working with Large Datasets
                                      1. Chunking Data
                                        1. Memory-efficient Operations
                                      2. Method Chaining
                                        1. Writing Readable Chained Operations
                                          1. pipe() Method
                                            1. Best Practices for Method Chaining
                                            2. Configuration and Settings
                                              1. pd.set_option() Function
                                                1. Display Options
                                                  1. Maximum Rows and Columns
                                                    1. Column Width
                                                      1. Precision and Formatting
                                                      2. Resetting Options to Default
                                                        1. pd.reset_option() Function

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                                                    11. Data Visualization

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                                                    1. Introduction to Pandas