# bokeh-graph
Interactive Graph visualization for networkX Graphs
# Basic Usage
```python
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
```python
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.
```
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