How does Pandas handle internal hashing in groupby operations?

Groupby uses hash tables to map unique keys to group indices.

During groupby, Pandas computes hash values for grouping keys and assigns each row to a hash bucket. These buckets are then aggregated independently. For categorical data, integer codes replace hashing, improving performance significantly.