Vectorized pandas UDFs (Iterator/Series) are preferred over row-at-…

Question

Vectorized pandas UDFs (Iterator/Series) are preferred over row-at-a-time Python UDFs because:

Accepted Answer

They amortize Python overhead using Apache Arrow batches for much higher throughput — Vectorized pandas UDFs batch via Arrow — way faster than row-wise Python UDFs.

Answer

They always run on GPUs automatically

Answer

They disable Catalyst entirely always for free speed

Answer

They cannot process batches

Vectorized pandas UDFs (Iterator/Series) are preferred over row-at-a-time Python UDFs because:

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