Custom Aggregations: Using apply and map for Complex Data Transformations
Custom aggregations in Pandas, involving apply and map functions, are powerful tools for performing complex data transformations. These functions allow for more nuanced and sophisticated data analysis than what is possible with standard aggregation methods like sum, mean, etc. Here’s how they work and how they can be used for complex data transformations: (more…)