world_loans = gpd.read_file('./archive/kiva_loans/kiva_loans/kiva_loans.shp') world_filepath = gpd.datasets.get_path('naturalearth_lowres') world = gpd.read_file(world_filepath)

ax = world.plot(figsize=(20,20), color='whitesmoke', linestyle=':', edgecolor='black') world_loans.plot(ax=ax, markersize=2)

PHL_loans = world_loans.loc[world_loans.country.isin(['Philippines'])].copy() PHL_loans

ax = PHL.plot(figsize=(10, 10), color='whitesmoke', linestyle=':', edgecolor='black') PHL_loans.plot(ax=ax, markersize=2) print('The areas covered in blue are the locations where kiva loan exists, other areas are potential customer base for expansion')