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<p>我正在尝试使用python 3.8和Networkx v2.4编写一个shapefile</p>
<pre><code>
import networkx as nx
import pandas as pd
f= open('Onslowedge.edgelist','rb')
G = nx.read_edgelist(f)
latlong = pd.read_csv('latlong.csv',index_col=0)
for index in latlong.index:
G.nodes[str(index)]['x'] = latlong["Longitude"][index]
G.nodes[str(index)]['y'] = latlong["Latitude"][index]
H= nx.DiGraph()
counter = 0
mapping = dict()
for node in list(G.nodes()):
xx, yy = G.nodes[str(node)]['x'], G.nodes[str(node)]['y']
H.add_node(str(node))
nx.set_node_attributes(H, {str(node): (xx, yy)}, 'loc')
mapping[node] = (xx,yy)
H1 = nx.relabel_nodes(H,mapping)
for edge in list(G.edges()):
e = (mapping[str(edge[0])], mapping[str(edge[1])])
H1.add_edge(*e)
nx.write_shp(H1, '\\shapefile')
</code></pre>
<p>我之所以从图形中创建有向图副本作为networkx<code>write_shp</code>函数,原因是它只能将有向图作为输入。
根据stackoverflow中找到的答案,我通过节点自身的坐标重新标记节点</p>
<p>这就是错误:</p>
<pre><code>nx.write_shp(H1, '\\shapefile')
Traceback (most recent call last):
File "<ipython-input-61-796466305294>", line 1, in <module>
nx.write_shp(H1, '\\shapefile')
File "C:\Users\sssaha\.conda\envs\tfgpu\lib\site-packages\networkx\readwrite\nx_shp.py", line 308, in write_shp
create_feature(g, nodes, attributes)
File "C:\Users\sssaha\.conda\envs\tfgpu\lib\site-packages\networkx\readwrite\nx_shp.py", line 259, in create_feature
feature.SetField(field, data)
File "C:\Users\sssaha\.conda\envs\tfgpu\lib\site-packages\osgeo\ogr.py", line 4492, in SetField
return _ogr.Feature_SetField(self, *args)
NotImplementedError: Wrong number or type of arguments for overloaded function 'Feature_SetField'.
Possible C/C++ prototypes are:
OGRFeatureShadow::SetField(int,char const *)
OGRFeatureShadow::SetField(char const *,char const *)
OGRFeatureShadow::SetField(int,double)
OGRFeatureShadow::SetField(char const *,double)
OGRFeatureShadow::SetField(int,int,int,int,int,int,float,int)
OGRFeatureShadow::SetField(char const *,int,int,int,int,int,float,int)
</code></pre>
<p>我不知道如何解决这个问题,也不知道是什么导致了这个问题</p>