如何使用 OSMnx 从 OSM 格式的 XML 文件创建过滤图？

Question

In Python, we can use a function osmnx.graph_from_place() and a filter custom_filter='["waterway"="river"]' to get a filtered graph.

import osmnx as ox
G = ox.graph_from_place("isle of man", custom_filter='["waterway"="river"]') # download directly.
fig, ax = ox.plot_graph(G, node_color='r')

I want to get a filtered graph from an OSM-formatted XML file from my disk, but the function osmnx.graph_from_xml() does not support the parameter custom_filter . How to get a filtered graph from *.osm data?

This will just plot the whole *.osm dataset:

import osmnx as ox
G = ox.graph_from_xml("isle-of-man-latest.osm") # from disk.
fig, ax = ox.plot_graph(G, node_color='r')

Answer 1

OSMnx's custom_filter parameter lets you filter an Overpass query with OverpassQL to generate filtered raw data for graph construction. If you are loading a.osm file, then you are explicitly bypassing the Overpass query step to instead directly import a local file of raw data for graph construction. OSMnx constructs the graph from whatever raw data you provide it.

You have a couple options. First, you can use OSMnx's graph_from_place or graph_from_polygon functions directly to get your graph, instead of loading from a.osm file, if possible. Second, if you need to use graph_from_xml and want to filter it, you can filter it after you've constructed it:

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

# create a graph with more edges than you want
G = ox.graph_from_place('Piedmont, CA, USA', network_type='drive', simplify=False)

# filter graph to retain only certain edge types
filtr = ['tertiary', 'tertiary_link', 'secondary', 'unclassified']
e = [(u, v, k) for u, v, k, d in G.edges(keys=True, data=True) if d['highway'] not in filtr]
G.remove_edges_from(e)

# remove any now-disconnected nodes or subcomponents, then simplify toplogy
G = ox.utils_graph.get_largest_component(G)
G = ox.simplify_graph(G)