Implement a Custom Resampler for Time Series Data in Pandas
Instruction: Given a time series dataset in a DataFrame, demonstrate how to implement a custom resampling operation that calculates the weighted average of the data points, with weights decreasing exponentially with time.
Context: This question tests the candidate's ability to manipulate time series data, their understanding of advanced indexing and resampling techniques in Pandas, and their skill in applying custom operations to grouped data.
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Certainly! Let's dive into the challenge of implementing a custom resampler for time series data in Pandas, focusing on calculating the weighted average where weights decrease exponentially with time. This task is particularly relevant to the role of a Data Scientist, where the manipulation and analysis of time series data are fundamental skills.
First, let...