Enhanced Data Visualization with Custom Legends

📅 2023-11-02 — Session: Enhanced Data Visualization with Custom Legends

🕒 22:55–23:05
🏷️ Labels: Matplotlib, Data Visualization, Custom Legends, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective was to enhance data visualization by creating custom legends for plots using matplotlib, ensuring clarity between different data series.

Key Activities

• Developed a custom legend to differentiate between ‘Agglomerados avg’ and ‘No Agglomerados avg’ using distinct colors and markers.
• Addressed a KeyError in the style_dict by substituting an undefined color reference with a hex code for orange.
• Provided a code snippet for integrating custom legend handles into existing plot code, ensuring clear visual distinction between data series.
• Updated plotting logic to improve data visualization, focusing on color assignments, yearly averages, scatter plots, and moving averages.

Achievements

• Successfully created and integrated custom legends into plots, enhancing the clarity and readability of visual data representations.
• Resolved the KeyError issue, ensuring robust and error-free plotting code.

Pending Tasks

• Further testing of the updated plotting logic in different scenarios to ensure consistent performance and visualization quality.