I Have a Huge data-set with more than million nodes, edges and communities. What is the best way to plot a network graph that shows clusters.
I did try Cytoscape using but that does not seem to provide what I am looking for.
I am trying to find a better way may be programming in Python to plot a cluster graph.
Any suggestions are appreciated... Thanks in advance
You flagged your post with networkx. Did you try the in-built drawing functions with Matplotlib? See the documentation here. However, even there they strongly recommend specialized software such as Cytoscape, Gephi or Graphviz.
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I have this density heatmap generated using Python Plotly package:
Now I need to add wind vectors over the heatmap. I would like to use quiver plots if possible, but currently I want to know how to add any kind of plot to a mapbox.
I have only found this example but the source code in the Plotly Chart Studio doesn't load so I don't know how to do it, also I need it in 2D:
I am not 100% sure if it is helpful but there is a software called QGIS (it's free). It is much easier to work with geospatial data there. Also, try rasterio library. It may have some functions like that (library for geospatial analyze)
I once used the velocity capability of ipyleaflet https://ipyleaflet.readthedocs.io/en/latest/api_reference/velocity.html
It is not using plotly but could be a good replacement for this kind of map until you find a better solution.
I was looking at a research paper and saw this diagram:
I believe I remember seeing a python plot for this - does anyone know a library or plot I can use to create this?
EDIT: For some reason I've been downvoted twice for posting this question (it hurts ppl) so I've rejigged it.
How do you combine multiple heatmaps in a stacked way with same color scale like to following image?
Additionally, does anyone know how to create the Augmented suffix tree?
Background:
I've worked through the python jupyter notebooks at the following link on how to create the heatmaps of (any) daily consumption profiles using seaborn
http://www.datadrivenbuilding.org/
...however there's a realllllllly cool combination graphic I'd love to be able to reproduce.
That image is an edited version of an image from this paper:
C. Miller, Z. Nagy, A. Schlueter, Automated daily pattern filtering of
measured building performance data, Automation in Construction 49,
Part A (2015) 1–17. doi:10.1016/j.autcon.2014.09.004. URL
http://www.sciencedirect.com/science/article/pii/S0926580514002015
They came up with the visualisation techniques themselves and describe them there. It looks like C. Miller is the one who wrote the notebook that you already found that shows how to draw the stacked heatmaps.
The augmented suffix tree is a type of visualization called a Sankey Diagram. You can plot these very beautifully using Plotly for example, or pySankey if you want to use matplotlib.
I am trying to visualize a Control Flow Graph in Python using pyqtgraph. I have the following two problems.
How can I visualize the edges with a direction?
How can I visualize a self edge?
I tried looking into the documentation, but couldn't find. Obviously, I didn't get time to read it all!
While pyqtgraph is awesome, for my use case I found a much better tool to do this.
graphviz is a nice tool to develop Control Flow Graphs quite conveniently, and has a large number of features for this particular problem.
For direction, you might add a pg.ArrowItem at the end of each line (although this could have poor performance for large networks), and for self connections, QtGui.QGraphicsEllipseItem combined with an arrow.
I already have a way of clustering my graph, so the process of clustering isn't the issue here. What I want to do is, once we have all the nodes clustered - to draw the clustered graph in Python, something like this:
I looked into networkx, igraph and graph-tool, but they seem to do the clustering, but not the drawing. Any ideas and propositions of what library should I use for drawing the already clustered graph, which will minimize the number of crossing links?
Take a look at GraphViz
http://www.graphviz.org/Gallery/directed/cluster.html
There's a Python binding for that, but I have to say I always create the text files directly as they're easy enough to write. Don't be fooled by the plain-looking examples, every aspect of your graph is highly customizable and you can make some pretty nifty graph visualizations with it. Not sure about nested clusters though, never tried that out.