Resolved Plotting and Data Processing Issues

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📅 2023-11-01 — Session: Resolved Plotting and Data Processing Issues

🕒 15:25–16:30
🏷️ Labels: Python, Data Visualization, Debugging, Data Processing, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM

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.

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