📅 2023-11-02 — Session: Enhanced data visualization with custom legends
🕒 22:55–23:05
🏷️ Labels: Data Visualization, Matplotlib, Custom Legend, Keyerror, Plotting
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve data visualization by creating custom legends in plots using matplotlib, addressing errors in style dictionaries, and updating plotting logic for clarity and readability.
Key Activities
- Developed a custom legend for plots to differentiate between ‘Agglomerados avg’ and ‘No Agglomerados avg’ using distinct colors and markers.
- Resolved a KeyError in the style dictionary by substituting an undefined color reference with a hex color code for orange.
- Provided instructions and code snippets for integrating custom legends into existing plot code.
- Updated plotting logic to enhance data visualization, including color assignments, yearly averages, scatter plots, and moving averages.
Achievements
- Successfully created and integrated custom legends into data plots.
- Resolved KeyError issues, ensuring smooth execution of plotting scripts.
- Improved the overall readability and compactness of the plotting code.
Pending Tasks
- Further testing of the updated plotting logic in different datasets to ensure robustness and flexibility.