Скачать или смотреть Advanced Merging Techniques with Custom Functions

@genaiexp Advanced merging techniques in Pandas allow for tailored solutions to complex data integration challenges. Custom functions offer flexibility beyond built-in merge operations. By leveraging Pandas' `apply()` method, you can implement specific logic for merging operations, addressing unique dataset requirements. Integrating with other Python libraries, such as NumPy for numerical operations or Geopandas for spatial data, expands your toolkit. These techniques are invaluable in solving challenges like merging datasets with non-standard key relationships or applying conditional logic during merges. We’ll delve into these advanced methods, enhancing your ability to create efficient and effective data processing workflows.