πŸ“… 2023-05-10 β€” Session: Enhanced DataFrame Visualization and ID Harmonization

πŸ•’ 06:10–06:25
🏷️ Labels: Pandas, Data Visualization, Data Cleaning, Python
πŸ“‚ Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance data visualization using pandas and improve data quality by harmonizing ID formats in a DataFrame.

Key Activities

  • Implemented pandas styling to create a bar chart in the β€˜votos_cantidad’ column of a DataFrame, utilizing a function to set color and width based on values.
  • Developed a Python function to standardize agrupacion_id values by converting them to strings, removing decimal points, and padding with zeros.
  • Addressed potential errors in data processing, including handling ValueError and TypeError during integer conversion and managing NaN values effectively.

Achievements

  • Successfully applied pandas styling to visualize data with bar charts, enhancing the readability of the DataFrame.
  • Created robust error-handling mechanisms for data conversion processes, ensuring the integrity and consistency of ID formats.

Pending Tasks

  • Further testing and validation of the harmonization function across diverse datasets to ensure comprehensive error handling and formatting.