Pandas Library

  1. Grouping and Aggregation
    1. GroupBy Mechanism
      1. Splitting Data into Groups
        1. Grouping by Single Column
          1. Grouping by Multiple Columns
            1. Grouping by Index
            2. Applying Functions to Groups
              1. Aggregation Functions
                1. Transformation Functions
                  1. Filtration Functions
                  2. Combining Results
                  3. Aggregation Operations
                    1. agg() Method
                      1. Using Built-in Functions
                        1. Using Custom Functions
                          1. Applying Multiple Functions
                            1. Different Functions to Different Columns
                          2. Common Aggregation Functions
                            1. count()
                              1. sum()
                                1. mean()
                                  1. median()
                                    1. std()
                                      1. var()
                                        1. min()
                                          1. max()
                                            1. first()
                                              1. last()
                                              2. Transformation Operations
                                                1. transform() Method
                                                  1. Broadcasting Transformed Values
                                                  2. Filtration Operations
                                                    1. filter() Method
                                                      1. Filtering Groups Based on Criteria

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                                                    6. Combining and Reshaping Data

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                                                    8. Working with Text Data