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Tag: networkx

Visually see edges and node color in networkx graph

I am creating a graph that will represent a Fat Tree (https://www.researchgate.net/figure/Fat-Tree-structure-with-n-4-It-has-three-levels-of-switches_fig1_220429211). Currently, when I visually see the network I code up, the nodes are close together but I do not see a visible edge between them. How do I make my nodes not be so close together? I want a user to visually see an edge between nodes, say

How to add a feature to all the nodes in networkx

How to assign a number between 0-1 determining the sate of each of the neighbours. (That is in principle, each node has a number(state) associated to it! So that when I call a node; it has the information of its neighbours and their corresponding states! something like a Multi-dimmensional array in C! So that the final information is something like

Highlighting the neighborhood of a node on selection

I created a graph using networkx and I am trying to plot it using bokeh. Currently, I am able to highlight the node that I clicked on, as well as the edges linked to the selected node. To reproduce the example, see the following code inspired from the official bokeh tutorial: I would like to be able to highlight not

igraph: get dict with nodes and corresponding attribute

I have a large igraph network and want to get some attributes of the vertices in the network. I have created a directed graph and want to run some algorithms: When I print the list it just gives me list of the authority scores of the vertices. However I would like to know which node exactly has each value. Is

Put nodes names to a graph with Networkx python

I created a graph G (network library) through the adjacency matrix A (numpy matrix) that stores the weights of the links. I also have the list of the names of the nodes but I don’t know how to assign the name to each node. How can I do? Answer You can loop over the nodes and append the label from

Creating undirected unweighted graph from dictionary containing neighborhood relationship

I have a Python dictionary that looks like this: {‘Aitkin’: [‘Carlton’, ‘Cass’, ‘Crow Wing’, ‘Itasca’, ‘Kanabec’, ‘Mille Lacs’, ‘Pine’, ‘St. Louis’], ‘Anoka’: [‘Chisago’, ‘Hennepin’, ‘Isanti’, ‘Ramsey’, ‘Sherburne’, ‘Washington’], ‘Becker’: [‘Clay’, ‘Clearwater’, ‘Hubbard’, ‘Mahnomen’, ‘Norman’, ‘Otter Tail’, ‘Wadena’], ‘Beltrami’: [‘Cass’, ‘Clearwater’, ‘Hubbard’, ‘Itasca’, ‘Koochiching’, ‘Lake of the Woods’, ‘Marshall’, ‘Pennington’, ‘Roseau’], ‘Benton’: [‘Mille Lacs’, ‘Morrison’, ‘Sherburne’, ‘Stearns’], ‘Big Stone’: [‘Lac qui

How to only get the shortest path with networkx (shortest_path)

first of all I am really new to python in genereal and espcially to networkx. I got a question regarding the networkx shortest_path(G,source,target) function. For a series of found positions (let´s call them x), I would like to find the shortest path to another series of found positions (let´s call them y). I would like to find the shortest path

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