📅 2023-08-25 — Session: Enhanced Dask script with progress indicators

🕒 18:15–18:35
🏷️ Labels: Dask, Python, Data Processing, Progress Indicators, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance a Dask script by adding progress indicators and addressing errors related to partitioned dataframes and age binning.

Key Activities

  • Modified a Dask script to include progress bars and status messages, improving execution visibility.
  • Addressed errors in Dask when assigning new columns to partitioned dataframes using map_partitions for age binning based on computed quantiles.
  • Fixed an error in Pandas when applying .sum() to a categorical column, ensuring correct grouping and assignment of age bins as string labels.
  • Developed a Python function to count occurrences of unique values grouped by RADIO_REF_ID, leveraging Dask for parallel computation.
  • Provided a solution to avoid SettingWithCopyWarning in Pandas by using the assign() method instead of modifying DataFrames in-place.

Achievements

  • Successfully integrated progress indicators into the Dask script.
  • Resolved errors related to partitioned dataframes and age binning in both Dask and Pandas.
  • Enhanced data processing techniques for counting unique values and avoiding common warnings in Pandas.

Pending Tasks

  • Further testing and validation of the modified Dask script in a production environment to ensure stability and performance.