Enhanced Python DataFrame ID Generation and Saving

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📅 2023-08-05 — Session: Enhanced Python DataFrame ID Generation and Saving

🕒 09:25–10:00
🏷️ Labels: Python, Dataframe, Unique Id, Code Optimization, Data Saving
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The goal of this session was to explore methods for generating unique IDs in a Python DataFrame and efficiently saving this data.

Key Activities:

  • Generated unique IDs for DataFrame rows by combining random numbers with the last two digits of the year, ensuring reproducibility with a set seed.
  • Used file size as a seed for random number generation to maintain ID consistency across runs with the same file.
  • Inserted a new ‘ID’ column in a DataFrame at a specified location using the insert function.
  • Saved the DataFrame to a CSV file, including the index as a column, and named the index column using pandas.
  • Improved efficiency by modifying code to save only predictions, enhancing memory efficiency and storage.
  • Corrected Python code for defining a list of dictionaries in the predict_save function, ensuring proper syntax.

Achievements:

  • Successfully implemented a reproducible method for generating unique IDs in DataFrames.
  • Improved data saving efficiency by focusing on predictions.
  • Corrected and optimized Python code for better performance.

Pending Tasks:

  • Further explore optimization techniques for large-scale data handling in Python.

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