Im having some issues while trying to add a new node to a graph (with OSMNX)
I need to calculate some distances on some areas that dont have nodes near.
Here is my code:
import networkx as nx
import osmnx as ox
from IPython.display import IFrame
import geopandas as gpd
from shapely.geometry import Point
my_dict = {
'001': {
'y': -31.640224888841907,
'x': -60.672566478771884,
'street_count': 1
}
}
tmp_list = []
for item_key, item_value in my_dict.items() :
tmp_list.append({
'geometry' : Point(item_value['x'], item_value['y']),
'osmid': item_key,
'y' : item_value['y'],
'x' : item_value['x'],
'street_count': item_value ['street_count']
})
my_nodes = gpd.GeoDataFrame(tmp_list)
G = ox.graph_from_place("Santa Fe, Santa Fe, Argentina", network_type="drive", buffer_dist=5000)
nodes= ox.graph_to_gdfs(G, nodes=True, edges=False)
edges= ox.graph_to_gdfs(G, edges=True, nodes=False)
nodes = nodes.append(my_nodes, ignore_index = True)
G2 = ox.graph_from_gdfs(nodes, edges)
m1 = ox.plot_graph_folium(G2, popup_attribute="name", weight=2, color="#8b0000")
dest = (-60.70916, -31.64553)
ori= (-60.66756, - 31.63719)
iniciocercano = ox.nearest_nodes(G2, ori[0], ori[1], return_dist=True)
finalcercano = ox.nearest_nodes(G2, dest[0], dest[1], return_dist=True)
pathDistance = nx.shortest_path_length(G2, iniciocercano[0], finalcercano[0], weight="length")
route = nx.shortest_path(G2, iniciocercano[0], finalcercano[0])
And the error that Im getting is: Input contains NaN.
I also notice that the original graph (G) has: 9423 nodes and 25013 edges. And the new graph (G2) has: 18847 nodes and 25013 which is pretty strange. Somehow the nodes are getting duplicate.
Thank you for your time.
Your my_nodes GeoDataFrame is not indexed by osmid like it needs to be, and like your nodes GeoDataFrame is.