tilemapbase

import matplotlib.pyplot as plt import tilemapbase # Crucial initialization step for tilemapbase. Set a user_agent to avoid 403 errors. # python_accelerated=True can speed up rendering if numba is installed. tilemapbase.init(python_accelerated=True, user_agent="my-tilemapbase-app") # Define the map extent [lon_min, lon_max, lat_min, lat_max] extent = [-0.20, 0.05, 51.45, 51.55] # Example: Central London fig, ax = plt.subplots(figsize=(10, 10), dpi=100) ax.set_xlabel("Longitude") ax.set_ylabel("Latitude") ax.set_title("London with TileMapBase") # Create a PlottingContext. This sets up the matplotlib axes for the map projection. # 'merc' is the standard projection for web maps. plot_context = tilemapbase.plotting.PlottingContext( extent, ax=ax, proj="merc" ) # Add OpenStreetMap tiles to the axes tilemapbase.plotting.add_tile_wmts( ax, url=tilemapbase.get_providers_as_dict()["OpenStreetMap"], zoom=13 ) # Set axes limits based on the PlottingContext's projected extent ax.set_xlim(plot_context.x_min, plot_context.x_max) ax.set_ylim(plot_context.y_min, plot_context.y_max) ax.set_aspect(plot_context.get_aspect()) # Example: Overlay a point (London Eye) in geographic coordinates london_eye_lon, london_eye_lat = -0.1106, 51.5033 ax.plot( london_eye_lon, london_eye_lat, 'o', color='red', markersize=8, transform=tilemapbase.crs_geographic, # Crucial: plot in geographic coordinates label="London Eye" ) ax.legend() plt.show()