Metadata-Version: 2.4
Name: bokehgraph
Version: 1.1.0
Summary: Interactive Graph visualization for networkX Graphs
Project-URL: Homepage, https://github.com/luerhard/bokehgraph
Author-email: Lukas Erhard <luerhard@googlemail.com>
License-Expression: MIT
License-File: LICENSE
Requires-Python: <4.0,>=3.9
Requires-Dist: bokeh<4.0,>=3.4.2
Requires-Dist: networkx>=3
Requires-Dist: numpy>=1.26; python_version >= '3.12'
Requires-Dist: numpy>=1.7; python_version <= '3.12'
Description-Content-Type: text/markdown

# 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)
```

# Full documentation

I am going to write a better documentation (at some point).
Please open issues if you do not understand the instructions.

Find documentation [here](https://luerhard.github.io/bokehgraph)
