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DiGraph.add_edge (u_of_edge, v_of _edge, **attr) Add an edge between u and v. DiGraph.add_edges_from (ebunch_to_add, **attr) Add all the edges in ebunch_to_add. DiGraph.add_weighted_edges_from (ebunch_to_add) Add weighted edges in ebunch_to_add with specified weight attr. DiGraph.remove_edge (u, v) Remove the edge between u and v.
4/19/2019 · Graph.add_edge(u_of_edge, v_of _edge, **attr) where u, v are the nodes, and attr are keyword arguments that characterize the edge data such as weight, capacity, length, etc.
That the arguments are, instead: u_of_edge and v_of _edge. I assume this is not causing problems for others. I’m using NetworkX version 2.1: >>> import networkx as nx >>> nx.__version__ ‘2.1’ I assume this complies with the requirements of the library, which is set as networkx>=2.0.
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NetworkXReference,Release2.6rc1.dev20201215171246 Allgraphclassesallowanyhashableobjectasanode. Hashableobjectsincludestrings,tuples,integers,andmore.
Thanks for reporting this @brooksph, this is a known issue in a downstream dependency.As you say – it’s fixed in the 1.3dev version of MultiQC (by forcing the installation to use an old version of a package) and I was hoping that the people responsible for the downstream packages would sort everything out before this became a problem.
Short answer: A positional argument is any argument that’s not supplied as a key=value pair. To understand what that means, unfortunately, is somewhat involved. The term argument is used somewhat imprecisely throughout the programming community …
