Enhanced DataFrame Visualization and Data Cleaning Functions

📅 2023-05-10 — Session: Enhanced DataFrame Visualization and Data Cleaning Functions

🕒 06:10–06:25
🏷️ Labels: Pandas, Data Visualization, Data Cleaning, Python, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance the visualization capabilities of pandas DataFrames and improve data cleaning functions for handling IDs.

Key Activities

• Implemented pandas styling for bar charts in the votos_cantidad column, including setting color and width based on values.
• Developed a Python function to harmonize agrupacion_id values by converting them to strings, removing decimal points, and padding with zeros.
• Addressed ValueError in integer conversion with a try-except block and handled NaN values appropriately.
• Fixed a type error in the harmonize_agrupacion_id function by ensuring proper data type conversion and handling of NaN values.

Achievements

• Successfully created a styled bar chart in a pandas DataFrame.
• Developed robust functions for data cleaning and transformation, ensuring consistent formatting of IDs.

Pending Tasks

• Further testing of the harmonization function with diverse datasets to ensure reliability across different data scenarios.