Instruction: Explain how you would implement and use a window function in Pandas to analyze trends in time series data. Include considerations for performance optimizations.
Context: This question tests the candidate's ability to understand and apply window functions in Pandas for analyzing time series data efficiently. Candidates should discuss methods such as rolling, expanding, and exponentially weighted moving averages, and how these can be optimized for large datasets.