📅 2023-08-20 — Session: Enhanced DataFrame Visualization with Pandas and Matplotlib

🕒 06:40–07:15
🏷️ Labels: Pandas, Dataframe, Visualization, Python, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session focused on enhancing visualization techniques for Pandas DataFrames using Python’s Pandas and Matplotlib libraries.

Key Activities

  • Developed a code snippet to style DataFrame cells with gray bars, normalizing based on a common maximum value.
  • Addressed an error by ensuring the correct import of matplotlib.pyplot for plotting.
  • Created a function to style DataFrames with horizontal bars proportional to the maximum absolute value.
  • Implemented styling for DataFrames to display numbers in scientific notation and engineering notation.
  • Extracted specific data using the loc indexer from a multi-indexed DataFrame.
  • Developed a function to compare cargo tags in voting data based on specified criteria.

Achievements

  • Successfully styled DataFrames with visual enhancements for better data representation.
  • Resolved import errors and ensured compatibility with Matplotlib.

Pending Tasks

  • Further exploration of advanced DataFrame styling techniques and integration with other visualization libraries.