bokeh-graph
Interactive Graph visualization for networkX Graphs
Basic Usage
from bokehgraph import BokehGraph
import networkx as nx
graph = nx.karate_club_graph()
plot = BokehGraph(graph)
plot.draw()
Jupyter Notebooks
To show graphs inlined in Jupyter Notebooks set the inline parameter
plot = BokehGraph(graph, width=300, height=300, inline=True)
Draw parameters
The BokehGraph.draw() method has a couple of parameters to individualize the resulting plot:
node_color="firebrick"
Set node color to any valid bokeh color (only respected if color_by is not set)
palette=None
Set palette to any valid bokeh color palette.
A list of palettes can be found under: https://docs.bokeh.org/en/latest/docs/reference/palettes.html
color_by=None
Set to a node attribute to color nodes by this attribute
edge_color="navy"
Set node color to any valid bokeh color
edge_alpha=0.17
Set edge alpha to a value between [0,1]
node_alpha=0.7
Set edge alpha to a value between [0,1]
node_size=9
Set node size
max_colors=-1
Set a maximum number of colors for color_by (or -1 to use as many colors as possible).
This must be < 256 and lower than the maximum number of colors of your selected palette.
It will divide the attribute space into evenly spaced to colors.
1 maintainer
Metadata
1 maintainer
Release files for bokehgraph 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| bokehgraph-0.3.1.tar.gz | 5.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bokehgraph-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.2 kB
Release files / bokehgraph-0.3.1.tar.gz
| Download URL | bokehgraph-0.3.1.tar.gz |
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| Size | 5.7 kB |
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Release files / bokehgraph-0.3.1-py3-none-any.whl
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