netgraph | A cross platform http sniffer with a web UI | Monitoring library

I am working on a visualization of a network that includes moveable nodes with edge labels that are updated by streaming data. Currently I am using randint to update a pandas dataframe while I work on the plotting.

The current code can generate the nodes and allows them to move and also updates the edge labels, but it feels "clunky" and every once in a while the plot flashes the axes (which I do not want to see). Is I can't seem to find a good hook in netgraph to simply refresh graph without doing a clear and redraw which will inevitably get worse as the network grows. Anyone know how I can make this smoother?

Here is the current code:

I am trying to create an interactive plot using netgraph and networkx.

I would like the plot to allow movement of the nodes and as the nodes move, the edges and edge_labels will also dynamically update.

Moving the nodes was addressed by the author of netgraph here . Now when I make a simpler plot and try to label an edge, the label stays static, and is sometimes not even on an edge.

It seems like handling edge_positions similar to node_positions on the last two lines should at least address the label not moving. Why the label isn't anchored to a particular edge is still puzzling. Does anyone know if the desired effect is achievable?

Here is a snip before moving anything:

Here is a snip after moving the bottom-right node to the top left:

Here is my current code:

I'm following a tutorial on machine learning with Keras and CoreML, and when I get to the point to run the following code and convert Keras model to the CoreML. I get:

AttributeError: 'module' object has no attribute 'SeparableConv1D'

where should I change to resolve this problem?

This is the code I run:

I have been trying to link my slider (which has years) with selectInput dropdown (which has freedom factors). I have been getting the donut chart, but it is equally distributed. I wish to choose options in dropdown and change their trends with the slider. I know something is wrong in output$plot2 <- renderPlotly({}), but not sure what is it.

global.r

I am currently writing a meta-analysis using a pairwise random effects meta-analysis to compare the complication rates of 5 treatment modalities, with one as the gold standard. I was able to get RR's out of the analysis but was not able to get p-values out of it. How do I get the p-values from this model? I tried to usepval.random but that didn't work. And I couldn't find any other code on CRAN that would help me. Can someone help me with the R-code?