Implemented Mapbox API Style Deletion and Color Management

• Day: 2023-09-22
• Time: 14:45 to 15:35
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Mapbox, API, Python, Color Management, Data Visualization

Description

Session Goal: The session aimed to enhance the Mapbox Styles API management by deleting outdated styles based on CSV data and improving color management for data visualizations.

Key Activities:

• Developed a Python script to delete old styles from the Mapbox API using IDs from a CSV file.
• Created wrapper functions change_color_scale and change_cmap to adjust color scales and maps in style JSONs, leveraging NumPy for linear spacing.
• Extracted colors from Matplotlib color maps and corrected access to the rgb2hex function for accurate color conversion.
• Addressed a bug in color calculation by normalizing indices in colormap functions.
• Corrected variable definitions for function testing, ensuring accurate execution.

Achievements:

• Successfully implemented a method to manage and delete Mapbox styles efficiently.
• Enhanced color management capabilities for [[data visualization]], ensuring accurate color representation.

Pending Tasks:

• Re-run tests with corrected variable definitions to validate the color extraction and manipulation functions.

Evidence

• source_file=2023-09-22.sessions.jsonl, line_number=1, event_count=0, session_id=c0449be19f960a6fb04c4e47516c76886293ddeed442b99e00b84d298711fa1f
• event_ids: []