graphml | GraphML is an XML-based file format for graphs

In the boost graph library, there are two popular functions to read in graphs from a file: boost::read_graphviz(), and boost::read_graphml(), for the GraphViz and the GraphML format, respectively.

Now both read generically to any type of boost::adjacency_list<...>, as they are models of the Mutable Graph concept:

I have a multidimensional graph G and a list best_path calculated using the method nx.shortest_path.

Thanks to this stackexchange post, I am exporting the x and y coordinates of my route in a simple ascii file using json.dumps:

I am writing a c++ template to read in weighted graphs of the formats GraphViz and GraphML.

The difficulty is that I use different graph types with different vertex/edge bundles, they could look something like

I am using the Boost graph to store a set of nodes and edges and then write it to a graphml format. Whatever I do, I cannot find a way to access or set the node id (n0, n1) or edge id (e0) attributes. It seems to be automatically set.

Is there a way to access and set it manually ?

Given two DataFrames, one for Nodes and another for Edges. How can I get those into a networkx graph including the attribute columns I have?

Example:

df_nodes

df_Edges

I tried with G = nx.from_pandas_edgelist but it returns an attribute error. And I'm not sure of how to add the attributes in the construction of the graph.

I'm looking to output a graphml file nx.write_graphml(G, "My_File.graphml")

Thanks.

I am using Janusgraph in a remote server to which I connect with a python remote client via

I'm using the python package networkx and have a MultiDigraphwhich I want to save it in graphml format to use it in another software for my further analysis. I have sone nodes and edges attributes also.

I used the bellow command but it didn't work. It seems this command doesn't work for MultiDigraph.

I have a MultiDiGraph in networkx and I am thinking about exporting it to neo4j. I have already a property for the nodes called ntype and a property for the edges called dtype which fits with the label concept for nodes and edges for neo4j graphs.

Which elements from networkx might become labels at neo4j? How can it be managed?

I add an example of the graph at python and the graph I would like to get when exporting to neo4j.

Here is the code at python

JanusGraph is running on localhost:8182 in a Docker container

I'm running gremlin console in a Docker container that's linked to the Janusgraph Docker container

I can run successful traversals against the imported air-routes.graphml data

I am building a Node.js/Express app that looks like this: