Handle/Control Warnings about Dataframe if highly fragmented

[JohnOmernik]

When working with a graph with lots of edges/nodes (3846 items) I got a full screen of warnings related to the d3graph.py:903

PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling frame.insert many time, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame use newframe=frame.copy()
adjmat[node]=0

It would be nice to do something that gets the same result here without pushing the warning at us (it makes a Jupyter Notebook real ugly).

Note, it still worked fine, it's just a nice to have.

[erdogant]

Thanks for mentioning this! However, I could not reproduce the issue.
I created a graph with almost 10k nodes but I do not see any warnings. Can you show with example code when this issue happens to you?

from d3graph import d3graph, adjmat2vec
size=(100, 100)
adjmat = pd.DataFrame(np.random.randint(0, 10, size=size))
# Initialize
d3 = d3graph()
d3.graph(adjmat)
d3.show()