Enhanced Dask script with progress indicators

• Day: 2023-08-25
• Time: 18:15 to 18:35
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Dask, Python, Data Processing, Progress Indicators, Pandas

Description

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.

Evidence

• source_file=2023-08-25.sessions.jsonl, line_number=3, event_count=0, session_id=44c13572d65e1828c8150170e5a4c06dbd71bbb82fbde68a5bdd2ad009d553e9
• event_ids: []