Pandas Library

  1. Multi-level Indexing
    1. Creating MultiIndex
      1. From Arrays
        1. From Tuples
          1. From Product of Levels
            1. from_arrays() Method
              1. from_tuples() Method
                1. from_product() Method
                2. Indexing and Slicing MultiIndex DataFrames
                  1. Selecting Data at Different Levels
                    1. Slicing with MultiIndex
                      1. Cross-section Selection
                        1. xs() Method
                      2. MultiIndex Operations
                        1. Swapping Levels
                          1. swaplevel() Method
                          2. Sorting by Index Levels
                            1. sort_index() Method
                            2. Dropping Index Levels
                              1. droplevel() Method
                            3. Stacking and Unstacking
                              1. stack() Method
                                1. unstack() Method
                                  1. Reshaping with Multiple Levels
                                  2. Pivot Tables and Cross-tabulations
                                    1. pivot_table() Function
                                      1. Aggregation in Pivot Tables
                                        1. Multi-level Columns in Pivot Tables
                                        2. crosstab() Function
                                          1. Frequency Tables
                                            1. Normalizing Cross-tabulations

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                                        9. Working with Time Series Data

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                                        11. Data Visualization