Networkx - Layout for Custom Node position

Hi,

I’m trying to display a networkx graph on bokeh. I’ve used nx.get_node_attributes(G,‘pos’), to plot the networkx graph. The position of each node is fixed based on input.

Is there a way to display it on Bokeh, using the from_networkx function? I can only use forced layout like spring/circular in the from_networkx function and not the nx.get_node_attributes.

The expected output on Matplotlib and the output, with spring layout on Bokeh.

pass_map.png

Screen Shot 2018-09-03 at 1.14.52 PM.png

Any help would be appreciated.

Thanks.

···

Hi.

Currently (ver 0.13.0) Bokeh, from_networkx function requests a layout function. Therefore, I specify a layout function (eg nx.spring_layout function, etc.) as a dummy and then update the layout_provider attribute with a fixed layout.

layout_provider | GraphRenderer

I uploaded the code below. I hope this will help

http://nbviewer.jupyter.org/github/komo-fr/networkx2bokeh_note/blob/master/notebooks/networkx2bokeh_layout_for_custom_position.ipynb

The following pages are helpful too.

https://bokeh.pydata.org/en/latest/docs/user_guide/examples/graph_customize.html

···

graph_layout = dict(zip(node_indices, zip(x, y)))
graph.layout_provider = StaticLayoutProvider(graph_layout=graph_layout)

Hi,

This worked perfectly. Thanks for the help.

Screen Shot 2018-09-23 at 10.19.28 AM.png

···

On Saturday, 22 September 2018 21:51:15 UTC-7, komo-fr (Tomoko Furuki) wrote:

Hi.

Currently (ver 0.13.0) Bokeh, from_networkx function requests a layout function. Therefore, I specify a layout function (eg nx.spring_layout function, etc.) as a dummy and then update the layout_provider attribute with a fixed layout.

layout_provider | GraphRenderer

I uploaded the code below. I hope this will help

http://nbviewer.jupyter.org/github/komo-fr/networkx2bokeh_note/blob/master/notebooks/networkx2bokeh_layout_for_custom_position.ipynb

The following pages are helpful too.

https://bokeh.pydata.org/en/latest/docs/user_guide/examples/graph_customize.html

graph_layout = dict(zip(node_indices, zip(x, y)))
graph.layout_provider = StaticLayoutProvider(graph_layout=graph_layout)