我有数据集,我从中构建了一个 NetworkX 兼容图。 shapefile 已转换为节点和边的字典,然后已转换为 GeoDataFrame
。从那时起,我使用 ox.graph_from_gdfs()
来创建功能图。边 GeoDataFrame
看起来像这样(第一行,简化):
| id | ref | name | speedlim | length| geometry | u | v | key
1193,2716,0 | 11452 | ref1 | name1 | 50 | 15 | LINESTRING (10.5 60.4, 10.5 60.4) | 1193 | 2716| 0
而节点 GeoDataFrame
看起来像这样:
| x | y | id | geometry
111604 | 10.5 | 60.4 | 11604 | POINT (10.5 60.4)
将这些转换为 MultiDiGraph
不会返回错误:
G = ox.graph_from_gdfs(gdf_nodes, gdf_edges)
从图形转换回 gdfs 时也会返回相同的数据。
但是,在简化 G 时,会出现以下错误:
G = ox.simplify_graph(G)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-18-e400610fe7d3> in <module>
----> 1 F = ox.simplify_graph(G)
~\anaconda3\envs\ox\lib\site-packages\osmnx\simplification.py in simplify_graph(G, strict, remove_rings)
276 for key in edge_attributes:
277 # don't touch the length attribute, we'll sum it at the end
--> 278 if len(set(edge_attributes[key])) == 1 and not key == "length":
279 # if there's only 1 unique value in this attribute list,
280 # consolidate it to the single value (the zero-th)
**TypeError: unhashable type: 'LineString'**
我的猜测是 gdf_nodes
和 gdf_edges
中的部分数据格式不正确,或者缺少某些内容。但是,我无法弄清楚是什么。除了使用此功能外,我没有遇到 OSMnx 的任何其他错误。
编辑 1:
这是一个重现错误的简单代码
import geopandas as gpd
import osmnx as ox
import networkx as nx
from shapely.geometry import Point, LineString
# Sample dictionary containing edge data (copy from first elements in dataset)
edges_test = {
(111603,111604,0) : {"id": 11452, "ref":"Mohagavegen", "name":"Mohagavegen", "speedlim":50, "length":15.1, "geometry":LineString([(10.55351,60.40720), (10.55375,60.40714)]), "u":111603, "v":111604, "key":0},
(111604,111605,0) : {"id": 11453, "ref":"Mohagavegen", "name":"Mohagavegen", "speedlim":50, "length":120.8, "geometry":LineString([Point(10.553752594 ,60.407140812), Point(10.554987804,60.406802271), Point(10.555623630,60.406579470)]), "u":111604, "v":111605, "key":0},
(111605,111606,0) : {"id": 11454, "ref":"Mohagavegen", "name":"Mohagavegen", "speedlim":50, "length":14.2, "geometry":LineString([Point(10.55562 ,60.40658), Point(10.55584 ,60.40651)]), "u":111605, "v":111606, "key":0}
}
# Sample dictionary containing node data (copy from first elements in dataset)
nodes_test = {
11603: {"x":10.5538, "y":60.4071, "id":111603, "geometry":Point((10.55375,60.40714))},
11604: {"x":10.5538, "y":60.4071, "id":111604, "geometry":Point((10.55375,60.40714))},
11605: {"x":10.5556, "y":60.4066, "id":111605, "geometry":Point((10.5556,60.4066))},
11606: {"x":10.5558, "y":60.4065, "id":111606, "geometry":Point((10.5558,60.4065))}
}
# Convert edges into geodataframe
gdf_edges = gpd.GeoDataFrame(edges_test, crs = crs).T
gdf_edges = gpd.GeoDataFrame(
edges_df, geometry=gdf_edges['geometry'])
# Convert nodes into geodataframe
gdf_nodes = gpd.GeoDataFrame(nodes_test, crs = crs).T
gdf_nodes = gpd.GeoDataFrame(
nodes_df, geometry=gdf_nodes['geometry'])
# Build graph from geodataframes
F = ox.graph_from_gdfs(gdf_nodes, gdf_edges)
# Plotting will show that there is one intersectial node present
# ox.plot_graph(F)
# Simplify graph
F = ox.simplify_graph(F)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-113-f81732e4921a> in <module>
41
42 # Simplify graph
---> 43 F = ox.simplify_graph(F)
~\anaconda3\envs\ox\lib\site-packages\osmnx\simplification.py in simplify_graph(G, strict, remove_rings)
276 for key in edge_attributes:
277 # don't touch the length attribute, we'll sum it at the end
--> 278 if len(set(edge_attributes[key])) == 1 and not key == "length":
279 # if there's only 1 unique value in this attribute list,
280 # consolidate it to the single value (the zero-th)
TypeError: unhashable type: 'LineString'
我怀疑存在一些具有不同 ID 的重复节点(请参阅 x,y 以获取 111603 和 111604)。也许这可能是问题所在?
答案 0 :(得分:0)
正如 Obeq 所指出的,解决方案是删除包含 Linestring 的属性。
遵循 https://stackoverflow.com/questions/50314296/pythonic-way-to-delete-edge-attributes
中的解决方案:
att_list = ['geometry']
for n1, n2, d in G.edges(data=True):
for att in att_list:
d.pop(att, None)
# Simplify after removing attribute
G = ox.simplify_graph(G)