Implemented DataFrame boolean count with Pandas

📅 2023-04-25 — Session: Implemented DataFrame boolean count with Pandas

🕒 14:00–14:10
🏷️ Labels: Pandas, Data Analysis, Boolean Columns, Python, Dataframe
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to implement a method using Pandas to group data by boolean columns and count the number of projects with scores above a certain threshold.

Key Activities

• Utilized the groupby method in Pandas to group data by boolean columns.
• Created a new DataFrame to count occurrences of projects with scores above 0.5 for specified boolean columns.
• Updated the code to replace the deprecated .append() method with pd.concat() for aggregating data.
• Implemented logic to count projects with scores above and below 0.5, and calculated corresponding percentages.

Achievements

• Successfully implemented a method to count and aggregate project scores using boolean columns in a DataFrame.
• Replaced deprecated methods with current best practices, ensuring code maintainability and performance.

Pending Tasks

• Review and test the implemented code in a larger dataset to ensure scalability and accuracy.