How does Pandas optimize internal sorting algorithms based on data type?

Pandas selects sorting algorithms like mergesort, quicksort, or heapsort based on stability and performance needs.

Sorting in Pandas is adaptive. For numeric arrays, quicksort is often used due to speed. For stable sorting requirements, mergesort is chosen. Heap sort may be used in specific edge cases. Stability matters when preserving original order of equal elements, especially in time-series or grouped data.