osmnx

问题 With reference to OSMnx Get Lat Lon Coordinates of Clean Intersection Nodes and the recent change from clean_intersections to consolidate_intersections, the snippets in the original link do not appear to work.how can we get the same XY coorindates and Lat Lon now with consoilidate_intersections? 回答1: This will vary if you provide rebuild_graph=True vs False as the consolidate_intersections parameterization. See the docs. I'll assume you mean the default parameterization. Just dump your graph

问题 I'm using the helper function provided here with some modifications for distance and color. I tried it without my changes and it has the same result. I noticed if I used the 'natural' tag that water ways will extend past the figure but I'm not using it in these, only 'building'. Code being used: import osmnx as ox from IPython.display import Image ox.config(log_console=True, use_cache=True) bgcolor="#343434" edge_color="#FFB0E2" bldg_color="#F4FF6E" point = (40.7154,-73.9853) place = 'New

问题 Trying to get OSMnx into jupyter conda environment. But conda environment not set correctly. On command line: Created conda environment using OSMnx installation steps I cloned the environment to rename it 'realestate' Added realestate to Jupyter: > conda activate realestate > conda install -c anaconda ipykernel > python -m ipykernel install --user --name=realestate > which python /opt/anaconda3/envs/realestate/bin/python On Jupyter the realestate environment shows up... but when I run !which

问题 I'm not able to install osmnx in jupyter notebook. The following problem is occurring with shapely version 1.6 I could install shapely 1.4 but osmnx needs 1.6 version The command I used is !pip install osmnx Collecting Shapely>=1.6 (from osmnx) Using cached https://files.pythonhosted.org/packages/a2/fb/7a7af9ef7a35d16fa23b127abee272cfc483ca89029b73e92e93cdf36e6b/Shapely-1.6.4.post2.tar.gz ERROR: Command errored out with exit status 1: command: 'c:\users\shrinath\anaconda3\python.exe' -c

问题 I am constructing street networks on osmnx using below code.I see that I can print lat/lon information, but Is there a way to include street/road names in network maps as well? I don't see how to do this in the documentation. Thanks! import osmnx as ox G = ox.graph_from_bbox(37.79, 37.78, -122.41, -122.43, network_type='drive') G_projected = ox.project_graph(G) ox.plot_graph(G_projected) Output: 回答1: Here's how you annotate your map with OSMnx to show street/road names (or any other edge

问题 I am trying to install osmnx using the command python -m pip install osmnx but it gives the following error: 'Command "python setup.py egg_info" failed with error code 1 in C:\Users\myname\AppData\Local\Temp\pip-install-o3ha6gld\Shapely\' 回答1: For some reason you need to download the wheel for that specific module and install separately: Install Shapely: OSError: [WinError 126] The specified module could not be found Then OSMnx will continue to install normally 回答2: Installation You can

问题 I was trying to understand what the key column represents in the edges geodataframe, but I was unable to find anything online. Could someone help me with this? The geodatrafame could be for instance: 回答1: Per the OSMnx documentation: Using OSMnx’s graph module, you can retrieve any spatial network data (such as streets, paths, canals, etc) from the Overpass API and model them as NetworkX MultiDiGraphs. OSMnx automatically processes network topology from the original raw OpenStreetMap data

问题 I was trying to understand what the key column represents in the edges geodataframe, but I was unable to find anything online. Could someone help me with this? The geodatrafame could be for instance: 回答1: Per the OSMnx documentation: Using OSMnx’s graph module, you can retrieve any spatial network data (such as streets, paths, canals, etc) from the Overpass API and model them as NetworkX MultiDiGraphs. OSMnx automatically processes network topology from the original raw OpenStreetMap data

问题 I have a network formed with two Polygons and I want to now which nodes are only in the bigger Polygon. How can I do this? 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 city = ['Portugal, Lisbon', 'Portugal, Amadora'] G = ox.graph_from_place(city, network_type='drive', simplify=True) G_nx = nx.relabel.convert_node_labels_to_integers(G) nodes, edges = ox.graph_to_gdfs(G_nx, nodes=True, edges=True) Here are the

问题 I have a network formed with two Polygons and I want to now which nodes are only in the bigger Polygon. How can I do this? 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 city = ['Portugal, Lisbon', 'Portugal, Amadora'] G = ox.graph_from_place(city, network_type='drive', simplify=True) G_nx = nx.relabel.convert_node_labels_to_integers(G) nodes, edges = ox.graph_to_gdfs(G_nx, nodes=True, edges=True) Here are the