Enhanced data visualization with custom legends

• Day: 2023-11-02
• Time: 22:55 to 23:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Visualization, Matplotlib, Custom Legend, Keyerror, Plotting

Description

Session Goal

The session aimed to improve [[data visualization]] by creating custom legends in plots using matplotlib, addressing errors in style dictionaries, and updating plotting logic for clarity and readability.

Key Activities

• Developed a custom legend for plots to differentiate between ‘Agglomerados avg’ and ‘No Agglomerados avg’ using distinct colors and markers.
• Resolved a KeyError in the style dictionary by substituting an undefined color reference with a hex color code for orange.
• Provided instructions and code snippets for integrating custom legends into existing plot code.
• Updated plotting logic to enhance [[data visualization]], including color assignments, yearly averages, scatter plots, and moving averages.

Achievements

• Successfully created and integrated custom legends into data plots.
• Resolved KeyError issues, ensuring smooth execution of plotting scripts.
• Improved the overall readability and compactness of the plotting code.

Pending Tasks

• Further testing of the updated plotting logic in different datasets to ensure robustness and flexibility.

Evidence

• source_file=2023-11-02.sessions.jsonl, line_number=6, event_count=0, session_id=15c5fe1de9134ed998826c1b678fa20b0b7867b97e0fbd0b8aa0d56ec2059dfc
• event_ids: []