Enhanced DataFrame Operations and Error Handling in Python

📅 2023-02-07 — Session: Enhanced DataFrame Operations and Error Handling in Python

🕒 15:55–16:35
🏷️ Labels: Python, Dataframes, Error Handling, Dynamic Variables, Data Analysis
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to enhance Python programming skills specifically related to DataFrame operations, including comparison, tally calculation, error handling, and dynamic variable assignment.

Key Activities:

• Corrected Python Code for DataFrame Comparison: Developed a function to compare multiple DataFrames based on project ID columns, resulting in a DataFrame that indicates intersection counts.
• Country Tally Calculation Function: Created a Python function to calculate country tallies from a DataFrame and merge them into a single comprehensive DataFrame.
• Handling GroupBy Errors: Addressed mismatch errors in DataFrames when using the groupby function by concatenating column names for proper indexing.
• Programmatic Function Outcome Assignment: Demonstrated storing function outcomes in a list for easy access and manipulation using indexing.
• Dynamic Variable Assignment with Dictionaries: Explored using dictionaries instead of exec for dynamic variable assignment, enhancing code security and clarity.

Achievements:

• Successfully implemented and tested various DataFrame operations and error handling techniques.
• Improved understanding of dynamic variable assignment in Python.

Pending Tasks:

• Further exploration of more advanced DataFrame manipulation techniques may be beneficial in future sessions.