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: []