Plotting Multiple Routes with OSMNx

Question

I am using OSMNx to plot shortest path routes and I cannot figure out a way to plot multiple routes on the same map. Here's my code so far,

route_list = []
for i in range(len(pick_drop_outliers_ratio)):
coords = pick_drop_outliers_ratio["Pickup_Points"][i]
count = pick_drop_outliers_ratio["Count"][i]
print("i: ", i, " count: ", count)
if(count>9):
    coords = literal_eval(coords)
    pickup_lat = (coords[0][0])
    pickup_lon = (coords[0][1])
    dropoff_lat = (coords[1][0])
    dropoff_lon = (coords[1][1])
    orig_node = ox.get_nearest_node(G, (pickup_lat, pickup_lon))
    dest_node = ox.get_nearest_node(G, (dropoff_lat, dropoff_lon))
    route = nx.shortest_path(G, orig_node, dest_node, weight='length')
    route_list.append(route)
fig, ax = ox.plot_graph_route(G, route_list, node_size=0)

I wish to plot every route in route_list on the same map in different colors for each route. Since there is no built in function in OSMNx, is there a way to do this?

I found the solution is "plotting the graph then adding routes manually on top with matplotlib." But Could not implement.

Answer 1

EDIT: note that as of OSMnx 0.15.0, you can now easily plot multiple routes with their own colors easily and natively:

routes = [route1, route2, route3]
rc = ['r', 'y', 'c']
fig, ax = ox.plot_graph_routes(G, routes, route_colors=rc, route_linewidth=6, node_size=0)

For more info, see the docs or this usage example notebook.

===============================

Original answer from 2018:

It's worth noting that this functionality now exists in OSMnx as of v0.8.2. Example here of plotting multiple routes each with their own color.

import networkx as nx
import osmnx as ox
ox.config(log_console=True, use_cache=True)

G = ox.graph_from_place('Piedmont, CA, USA', network_type='drive')

# pick 4 random nodes as origins/destinations for the 2 routes
orig1 = list(G.nodes())[0]
dest1 = list(G.nodes())[-1]
orig2 = list(G.nodes())[50]
dest2 = list(G.nodes())[-50]

# calculate shortest paths for the 2 routes
route1 = nx.shortest_path(G, orig1, dest1, weight='length')
route2 = nx.shortest_path(G, orig2, dest2, weight='length')

# create route colors
rc1 = ['r'] * (len(route1) - 1)
rc2 = ['b'] * len(route2)
rc = rc1 + rc2
nc = ['r', 'r', 'b', 'b']

# plot the routes
fig, ax = ox.plot_graph_routes(G, [route1, route2], route_color=rc, orig_dest_node_color=nc, node_size=0)

Answer 2

It can be done as, fig, ax = ox.plot_graph_routes(G, route_list, route_color = color_list) But actually out put is not as accurate as hoped. To get perfect output use one color for one edge. But for your case this will perfectly work... `

route_list = []
for i in range(len(pick_drop_outliers_ratio)):
coords = pick_drop_outliers_ratio["Pickup_Points"][i]
count = pick_drop_outliers_ratio["Count"][i]
print("i: ", i, " count: ", count)
if(count>9):
    coords = literal_eval(coords)
    pickup_lat = (coords[0][0])
    pickup_lon = (coords[0][1])
    dropoff_lat = (coords[1][0])
    dropoff_lon = (coords[1][1])
    orig_node = ox.get_nearest_node(G, (pickup_lat, pickup_lon))
    dest_node = ox.get_nearest_node(G, (dropoff_lat, dropoff_lon))
    route = nx.shortest_path(G, orig_node, dest_node, weight='length')
    route_list.append(route)
fig, ax = ox.plot_graph_routes(G, route_list, node_size=0)

`

My example