Enhanced DataFrame Operations with Python Functions

📅 2023-02-07 — Session: Enhanced DataFrame Operations with Python Functions

🕒 15:55–16:35
🏷️ Labels: Python, Dataframe, Code Correction, Data Analysis, Dynamic Variables
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to enhance and correct Python functions for efficient DataFrame operations, focusing on comparison, tally calculations, and error handling.

Key Activities

• Corrected Python Code for DataFrame Comparison: Improved a function to compare multiple DataFrames based on project ID columns, returning a DataFrame with intersection counts.
• Country Tally Calculation Function: Developed a Python function to calculate and merge country tallies from DataFrames.
• Handling GroupBy Errors: Resolved mismatch errors in DataFrame groupby operations by concatenating column names for proper indexing.
• Programmatically Assigning Function Outcomes: Demonstrated storing function outcomes in a list for indexed access, using Python.
• Using Dictionaries for Dynamic Variable Assignment: Explored using dictionaries over exec for dynamic variable assignments, enhancing code safety and clarity.

Achievements

• Successfully corrected and enhanced multiple Python functions to improve DataFrame manipulation and analysis.
• Clarified best practices for dynamic variable assignment using dictionaries.

Pending Tasks

• Further testing and validation of the corrected and new functions in a broader set of DataFrame scenarios to ensure robustness.