📅 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
andplot_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.