Enhanced Dask script with progress indicators

2 min read

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

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

Session Goal

The main objective of this session was to enhance a Dask script by adding progress indicators and handling errors related to partitioned DataFrames.

Key Activities

  • Enhancing Dask Script: Added progress bars and status messages to a Dask script to improve visibility into its execution and performance metrics.
  • Handling Partitioned Dataframe Errors: Utilized map_partitions to address errors when assigning new columns to partitioned DataFrames for age binning based on computed quantiles.
  • Fixing Age Binning and Grouping Errors: Resolved an error in Pandas when applying the .sum() operation to a categorical column by adjusting the code for assigning age bins and correctly grouping numeric columns.
  • Counting Unique Values: Implemented Python functions to count occurrences of unique values grouped by RADIO_REF_ID using both Dask and Pandas, demonstrating parallel computation and aggregation across partitions.
  • Avoiding SettingWithCopyWarning: Explained how to avoid the SettingWithCopyWarning in Pandas by using the assign() method to create new columns instead of modifying DataFrames in-place.

Achievements

  • Successfully enhanced the Dask script with progress indicators.
  • Resolved errors related to partitioned DataFrames and age binning.
  • Improved data processing techniques in both Dask and Pandas.

Pending Tasks

None identified.

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