Computer Science · Data Analytics with Python
In Python, why is the apply() method often slower than vectorized operations on DataFrames?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1It executes row-wise or element-wise Python functions, incurring loop overhead✓
- 2It completely ignores DataFrame indexing
- 3It cannot handle missing or null values
- 4It always modifies the original data in place
Correct answer
It executes row-wise or element-wise Python functions, incurring loop overhead
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