📅 2023-11-02 — Session: Enhanced data visualization with custom legends
🕒 22:55–23:05
🏷️ Labels: Data Visualization, Matplotlib, Custom Legend, Keyerror, Plotting
📂 Project: Dev
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.