Enhanced Time Period Generation and Alignment in Pandas

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📅 2025-03-11 — Session: Enhanced Time Period Generation and Alignment in Pandas

🕒 20:50–23:40
🏷️ Labels: Python, Pandas, Time Series, Data Processing, Coding
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance the generation and alignment of time periods using Python and Pandas, with a focus on ensuring consistency and flexibility in handling different time frequencies.

Key Activities

  • Developed a corrected Python function for generating start and end dates based on specified time frequencies.
  • Refined the approach to time period generation using Pandas’ pd.date_range for flexible frequency handling.
  • Corrected and improved the function to ensure proper alignment and end date calculations.
  • Explored concepts for aligning and resampling time series data in Pandas, particularly for exchange rate data integration.

Achievements

  • Successfully created and corrected Python functions to generate and align time periods using Pandas.
  • Enhanced understanding of time series alignment and resampling techniques in Pandas.

Pending Tasks

  • Further testing and validation of the functions with real-world data scenarios.
  • Integration of the developed functions into existing data processing pipelines.

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