Python Programming Learning Circle
Apr 26, 2022 · Big Data
Accelerating Pandas apply: Up to 600× Speedup with Swifter, Vectorization, dtype Conversion, and .values
This article demonstrates how to dramatically speed up the slow pandas apply function—by up to six hundred times—using Swifter for parallel execution, vectorized pandas/numpy operations, dtype downcasting, and direct .values array manipulation, with detailed timing comparisons.
NumPyVectorizationapply
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