📅 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_partitionsfor 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
SettingWithCopyWarningin Pandas by using theassign()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.