📅 2023-08-20 — Session: Enhanced DataFrame Visualization with Pandas and Matplotlib
🕒 06:40–07:15
🏷️ Labels: Pandas, Dataframe, Visualization, Python, Matplotlib
📂 Project: Dev
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]].pyplotfor 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
locindexer 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.