📅 2023-03-16 — Session: Enhanced World Bank Project Visualization with GeoPandas
🕒 21:25–21:50
🏷️ Labels: Python, Data Visualization, Geopandas, World Bank, Matplotlib
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance the visualization of World Bank project locations using Python libraries such as Pandas, GeoPandas, and Matplotlib.
Key Activities:
- Developed a Python script to analyze World Bank project locations, counting unique geoname IDs and generating summary statistics.
- Updated visualization code to plot project locations on a world map, adjusting marker sizes and enhancing clarity with transparency and figure size adjustments.
- Implemented
FuncFormatter
to format legend labels as integers in Matplotlib plots. - Corrected the use of
GeoDataFrame.plot()
for proper colorbar label formatting. - Addressed a coding error by using
format_func
instead offormatter
for legend label formatting. - Utilized
fmtstring
inlegend_kwds
of GeoPandas to format legend bin edges without decimal places.
Achievements:
- Successfully enhanced the visualization of project locations with improved clarity and accurate legend formatting.
Pending Tasks:
- Review and test the updated visualization scripts for different datasets to ensure robustness and adaptability.