📅 2023-08-18 — Session: Developed and Modularized Weighted Box Plot Functions

🕒 19:45–20:10
🏷️ Labels: Python, Data Visualization, Modular Programming, Weighted Box Plot, Matplotlib, Function Refactoring
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to develop and modularize functions for creating weighted box plots and scatter plots in Python, enhancing their reusability and flexibility.

Key Activities:

  • Created a guide for generating weighted box plots using custom functions to compute weighted quartiles.
  • Developed a method for computing weighted quartiles by bins, utilizing Python and Pandas.
  • Implemented a custom boxplot visualization with Matplotlib, detailing visual elements.
  • Developed plot_scatter and plot_weighted_box functions for generating scatter and weighted box plots.
  • Refactored the plot_scatter function to improve modularity by allowing direct parameter input.
  • Created a color dictionary for political groups to enhance plot aesthetics.
  • Modularized the plot_weighted_box function by adding arguments for data input and binning, updating the code for weighted quantiles and box plots.

Achievements:

  • Successfully created and modularized Python functions for weighted box plots and scatter plots.
  • Enhanced the reusability and flexibility of plotting functions through refactoring and modularization.

Pending Tasks:

  • Further testing and validation of the modularized functions in diverse data scenarios.
  • Integration of the color dictionary into existing plotting functions for consistent aesthetics.