@Acidham Try this
import location from math import radians, sin, cos, asin, sqrt, atan2, degrees, pi, pow import ui def calculate_distance(pointA, pointB): """ :Parameters: - `pointA: The tuple representing the latitude/longitude for the first point. Latitude and longitude must be in decimal degrees - `pointB: The tuple representing the latitude/longitude for the second point. Latitude and longitude must be in decimal degrees :Returns: The distance in km """ # convert decimal degrees to radians #print(pointA, pointB) lat1 = radians(pointA[0]) lat2 = radians(pointB[0]) lon1 = radians(pointA[1]) lon2 = radians(pointB[1]) # haversine formula dlon = lon2 - lon1 dlat = lat2 - lat1 a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2 c = 2 * asin(sqrt(a)) r = 6371 # Radius of earth in kilometers. Use 3956 for miles dist = c * r #print(dist) return dist lat_cen = 48.8582 # Tour Eiffel lon_cen = 2.2945 w_m = 1000 h_m = 1000 img = location.render_map_snapshot(lat_cen, lon_cen, width=w_m, height=h_m, map_type='standard', show_poi=True, img_width=512, img_height=512, img_scale=0) lat_pin = 48.8560793 # Bassins du Champ de Mars lon_pin = 2.2979048 x = calculate_distance((lat_cen,lon_cen),(lat_cen,lon_pin)) y = calculate_distance((lat_cen,lon_cen),(lat_pin,lon_cen)) #print(x,y) x = img.size.w/2 + x*img.size.w/(w_m/1000) y = img.size.h/2 + y*img.size.h/(h_m/1000) with ui.ImageContext(img.size.w, img.size.h) as ctx: img.draw() d = 8 path = ui.Path.oval(x-d,y-d,2*d,2*d) ui.set_color('red') path.move_to(x-d,y) path.line_to(x+d,y) path.move_to(x,y-d) path.line_to(x,y+d) path.stroke() result = ctx.get_image() result.show()