📅 2024-11-06 — Session: Enhanced DataFrame Styling with Pandas Styler

🕒 23:00–23:10
🏷️ Labels: Dataframe, Styler, Python, Pandas, Data Visualization
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore advanced styling techniques for pandas DataFrames using the Styler class, focusing on CSS integration and data visualization enhancements.

Key Activities

  • Reviewed the Styler class features for DataFrame formatting, emphasizing customization and separation of display from data.
  • Explored the use of CSS for styling tables generated from pandas DataFrames, highlighting HTML integration capabilities.
  • Demonstrated applying a background gradient using a custom colormap in pandas, with specific color scaling.
  • Provided code snippets for styling tables in household size analysis, enhancing readability through visual differentiation.
  • Illustrated wealth distribution analysis using data visualization techniques with custom color maps.

Achievements

  • Gained insights into the Styler class for DataFrame formatting and customization.
  • Successfully applied CSS and custom colormaps for enhanced data visualization.

Pending Tasks

  • Further exploration of advanced styling techniques and their applications in different data analysis contexts.