Refactored and Enhanced Data Processing Code

2 min read

📅 2023-08-20 — Session: Refactored and Enhanced Data Processing Code

🕒 04:00–05:20
🏷️ Labels: Python, Data Processing, Code Refactoring, Pandas, Geopandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to refactor and enhance Python scripts for data processing, focusing on code clarity, efficiency, and resolving specific errors related to data manipulation and visualization.

Key Activities

  • Code Refactoring: Improved the Python script for data processing by enhancing clarity and reducing redundancy. This included data loading, preprocessing, and merging operations.
  • Error Resolution: Addressed a MergeError in Pandas DataFrames with multi-level columns by flattening columns and performing correct merge operations.
  • DataFrame Manipulation: Dropped MultiIndex levels in Pandas DataFrames and merged them using specific keys.
  • GeoDataFrame Handling: Set active geometry columns in GeoDataFrames to resolve plotting errors and cleaned NaN values in geometry columns.
  • [[Data Visualization]]: Utilized IPython, Matplotlib, and GeoPandas for displaying tables and plots, overlaying data on maps, and computing zoom levels for bounding boxes.

Achievements

  • Successfully refactored Python code for improved readability and maintainability.
  • Resolved specific data manipulation and visualization errors, enhancing overall data processing workflows.

Pending Tasks

  • Further testing of the refactored code in different data scenarios to ensure robustness.
  • Exploration of additional data visualization techniques using GeoPandas and Matplotlib.

Graph View

Backlinks