osmnx

问题 I have a osmnx plot that has two routes, but the map is quite vast therefore I cannot see the routes properly. Is there a fast way to limit my plot, to sort of 'zoom in', using for example bbox ? I know I could search for districts instead of a whole city, I was just curious to know if there was a fastest way to 'zoom' in the plot. Here is the code: import osmnx as ox import igraph as ig import matplotlib.pyplot as plt import pandas as pd import networkx as nx import numpy as np import

问题 I would like to pass some overpass request into ox.graph_from_place , but I don't really understand how it works with the doc. I would like to create a graph with 2 types of roads (where the buses can pass and where the psv can pass too) Am'i obliged to join my 2 graphs ? Or Is there a more direct method ? G1 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["bus"="yes"]') G2 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["psv"="yes"]')

问题 I would like to pass some overpass request into ox.graph_from_place , but I don't really understand how it works with the doc. I would like to create a graph with 2 types of roads (where the buses can pass and where the psv can pass too) Am'i obliged to join my 2 graphs ? Or Is there a more direct method ? G1 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["bus"="yes"]') G2 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["psv"="yes"]')

问题 I would like to pass some overpass request into ox.graph_from_place , but I don't really understand how it works with the doc. I would like to create a graph with 2 types of roads (where the buses can pass and where the psv can pass too) Am'i obliged to join my 2 graphs ? Or Is there a more direct method ? G1 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["bus"="yes"]') G2 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["psv"="yes"]')

问题 I would like to pass some overpass request into ox.graph_from_place , but I don't really understand how it works with the doc. I would like to create a graph with 2 types of roads (where the buses can pass and where the psv can pass too) Am'i obliged to join my 2 graphs ? Or Is there a more direct method ? G1 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["bus"="yes"]') G2 = ox.graph_from_place('Marseille, France', retain_all=True, custom_filter='["psv"="yes"]')

来源： https://stackoverflow.com/questions/63105850/osmnx-edges-plot-with-hexbin-matplotlib

来源： https://stackoverflow.com/questions/63105850/osmnx-edges-plot-with-hexbin-matplotlib

来源： https://stackoverflow.com/questions/63105850/osmnx-edges-plot-with-hexbin-matplotlib

来源： https://stackoverflow.com/questions/63690631/osmnx-shortest-path-how-to-skip-node-if-not-reachable-and-take-the-next-neares

来源： https://stackoverflow.com/questions/61348099/implement-haversine-method-in-get-nearest-edge-fucntion-in-osmnx-and-return