📅 2024-11-06 — Session: Enhanced DataFrame Styling with Pandas Styler
🕒 23:00–23:15
🏷️ Labels: Pandas, Styler, Data Visualization, Python, CSS
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore advanced styling techniques using the Pandas Styler class to enhance data visualization in Python.
Key Activities
- Reviewed the
Stylerclass functionalities for formatting DataFrames, focusing on the separation of data and display, and customization options. - Explored the use of CSS for styling tables generated from Pandas DataFrames, highlighting the integration capabilities of the
Stylerobject with HTML. - Demonstrated the application of a background gradient to DataFrames using a custom colormap, specifying min and max values for color scaling.
- Applied gradient backgrounds to tables for household size analysis, improving visual differentiation and readability.
- Analyzed wealth distribution data, using custom color maps to enhance visualization across demographic factors.
Achievements
- Successfully applied advanced styling techniques to DataFrames, improving the visual appeal and readability of data presentations.
Pending Tasks
- Further exploration of dynamic styling options and integration with interactive data visualization libraries.