Resolved Plotting and Data Processing Issues

• Day: 2023-11-01
• Time: 15:25 to 16:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Visualization, Debugging, Data Processing, Matplotlib

Description

Session Goal

The session aimed to address and resolve technical issues in data visualization and processing using Python, specifically focusing on plotting functions and data aggregation.

Key Activities

• Fixing Group Indexing in Plotting Function: Adapted code to handle group indexing in a plotting function, ensuring correct summation of votos_cantidad for visual representation.
• Debugging Matplotlib Scatter Plot: Systematically debugged marker size issues in a Matplotlib scatter plot by checking values, adjusting parameters, and ensuring proper display settings.
• Resolving Warnings: Addressed warnings in Python plotting by correcting keyword arguments and ensuring proper array comparisons.
• Streamlining Python Code: Reorganized Python code for data processing into clear sections for aggregation, verification, merging, and analysis.
• Electoral Data Analysis: Provided a detailed guide for electoral data analysis, including data preparation, verification, merging, and calculation of vote fractions.

Achievements

• Successfully fixed group indexing and marker size issues in plotting functions.
• Resolved warnings related to array comparisons in Python.
• Optimized data processing code for better readability and maintenance.

Pending Tasks

• Further verification of the electoral data analysis process to ensure accuracy and completeness.

Evidence

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• event_ids: []