ArcPlot figure too small and with lots of space

[kwbln]

• nxviz version: 0.6.2
• Python version: 3.6.10
• Jupyter: 1.0.0
• Operating System: Windows 10 Home

Description

Hi! I'm a bit unsatisfied with the figure size in Jupyter Notebook and the white space the plot produce.
I have tried to change the figure size but the result is not very nice.

What I Did

# 1 - without figure size setting
a = ArcPlot(K, 
            edge_width='weight', edge_color='weight',
           node_size='betweenness')
a.draw()
plt.show()

# 2 - with figure size setting
a = ArcPlot(K, figsize=(30,30), 
            edge_width='weight', edge_color='weight',
           node_size='betweenness')
a.draw()
plt.show()

Result 1:

Result2:

[ericmjl]

I'm not sure at first glance whether this will work, but what does the output look like when you do each of:

• plt.tight_layout()
• plt. autoscale()

?

I have a hunch that one of them should work out.

[kwbln]

Hi Eric!

Thanks for the hint - the combination of both helps, but it's still not the optimum I think.

If I set a 'figure.facecolor', it looks like the plot/image itself needs too much space:

It would be nice if there is an auto-scaling depending on the nodes and edges.

Best regards,
Kerstin

[ericmjl]

Hi Kerstin, indeed you've hit an interesting problem here. I'm not sure how best to solve this at the moment. That said, I think I have a few hypotheses on how to fix it. Can you provide source code that generates dummy example graph like your own that I can test with?

[kwbln]

I will upload my "Kangaroo Network" to Github and give you access. I'm following along your DataCamp course ;)

[ericmjl]

@kwbln I went into the source code and modified the implementation of draw(). For the time being, I suspect that just using plt.tight_layout() and plt. autoscale() is the best solution available (even though it may still result in some excessive whitespace).

This coming weekend, I'll see how pushing the two lines of code into the ArcPlot changes things (or if it even does change things).