📅 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.