How to plot the graph created in redisgraph? - graph-visualization

I have created a graph in redisgraph.I want to visualise the graph directly from redisgraph without using another library because again I have to create same graph in that library.How to plot the graph directly from redisgraph?

Related

Undo a projection in OSMnx

In OSMnx sosme operations, eg graph simplification, only work once the graph is properly projected, while some work correctly in lat/long. I would like to do soomething like:
project graph
operate on projected graph (eg simplify)
"unproject" result
operate on result in original coordinates
How do I do the unproject step?

D3.js - Directed Acyclic Graph : how to rearrange the nodes and edges to avoid intersection of edges

I have to create the nodes and edges, having interconnections. I am using d3 js for the same. Now the problem is that the graphs look so much messy. I tried using quadratic bezier curves to draw the edges between the nodes. I want that If a press a button it should rearrange into simplified view.
I happened to look at metacademy, they are a open source project. Which have the exact functionality I am looking for. https://metacademy.org/graphs/edit/new, you would need to login. However not able to find their part of code which is doing the same.
Initially created graph
After pressing the refresh button
I am pretty new to d3js, so I will be thankful for any help/suggestions.
I see this is a pretty old question, but FWIW, I designed the graph you're referring to.
Getting graphs to organize so that it minimizes edge crossing is an area of active research. For metacademy, I integrated d3.js + dagre
https://github.com/dagrejs/dagre

How to draw a weighted graph with snap.py?

I want to draw a network which can show the weight of each edge.
Currently, I was able to draw an unweighted graph using PUNGraph of SNAP.
G = snap.PUNGraph.New()
However, I wasn't able to find the class for the weighted graph.
I don't want to just put the value above the edge, I want to somehow resize the edge base on the value of the edges.
Could someone tell me how I can draw graph something like below?
If possible I would like a solution using SNAP.
I end up using nodeXL which is capable of drawing a graph likes below.
Also D3.js supports a lot of good representing features.
I am still looking for more fascinating tools.

How to draw a flow graph like this

I have the geodetic coordinates of the stations, and the data flowing into the station is generated randomly. Is there any graph libary can draw this?
For the map you can use d3-geo and the d3.geoAlbersUsa projection.
To draw the line into the stations you can use a SVG path. You can generate the path with d3.geoPath.

D3.js - Is it possible to animate between a force-directed graph and a node-link tree?

I am using the D3.js library and looking at the force-directed graph demo:
http://mbostock.github.com/d3/ex/force.html
I am also looking at the node-link tree:
http://mbostock.github.com/d3/ex/tree.html
What I would like to do is:
- Start with the force-directed graph and when the user clicks on a
node, have it animated smoothly into a tree, with the selected node
in the center.
- Then, when the user clicks on any empty space in the canvas, it
should animate back to the force-directed graph.
Has anyone done anything like this before, or have any advice as to the best approach to take? I am new to D3.js and have no idea if this is even supported by the framework.
What you need to do is stop the force and apply a transformation of the existing nodes to the x-y derived from the other layout. So your function would look like this:
force.stop();
d3.selectAll("g.nodes").transtion().duration(500)
.attr("translate","transform("+newLayoutX+","+newLayoutY+")"
Then iterate through your nodes array and set the x, y, px, py values to reflect the new X and Y. This will set your nodes to know the current x and y position for the force layout when you run force.start()
You can take a look at the plotLayout() function in this example:
https://gist.github.com/emeeks/4588962
This does not rely on a second d3.layout, though. The problem you'll run into is that you need a hierarchical dataset for the tree layout, which requires you to transform your nodes and edges data into an array of node.children as expected in the hierarchical layouts. The way that I would do it is to duplicate the dataset and manually flatten it, but there may be a more elegant solution that I'm unaware of.

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