TradingAgents/.jules/bolt.md

2024-05-24 - [Avoid Pandas Vectorized String Operations on Tiny Arrays]

Learning: While df.columns.astype(str).str.lower() is faster for large datasets (e.g., 1000+ columns), it is actually a micro-deoptimization for typical DataFrames with few columns. The overhead of pandas' .str accessor dispatch and Index object creation outweighs the raw iteration speed of a simple Python list comprehension [str(c).lower() for c in df.columns]. Action: Do not replace list comprehensions with pandas vectorized string accessors when the array size is known to be very small (like DataFrame columns), unless the number of columns is explicitly known to be massive.