Metadata-Version: 1.0
Name: netwulf
Version: 0.0.3
Summary: Interactively visualize networks with Ulf Aslak's d3-tool from Python.
Home-page: https://github.com/benmaier/netwulf
Author: Ulf Aslak, Benjamin F. Maier
Author-email: bfmaier@physik.hu-berlin.de
License: MIT
Description: ![logo](https://github.com/benmaier/netwulf/raw/master/img/logo_small.png)
        
        # netwulf
        
        This package provides an interface between [networkx](https://networkx.github.io/) Graph objects and
        [Ulf Aslak's interactive web app](https://github.com/ulfaslak/network_styling_with_d3) for simple
        and better network visualizations.
        
        ## Install
        
            pip install netwulf
        
        ## Example
        
        ### Standard
        
        Create a network and look at it
        
        ```python
        import networkx as nx
        from netwulf import visualize
        
        G = nx.barabasi_albert_graph(100,m=1)
        visualize(G)
        ```
        
        ![visualization example](https://github.com/benmaier/netwulf/raw/master/img/BA_1.png)
        
        ### Config
        
        It's possible to change the default settings which are
        
        ```python
        default_config = {
          'Apply heat (wiggle)': False,
          'Charge strength': -10,
          'Center gravity': 0.1,
          'Link distance': 10,
          'Link width': 2,
          'Link alpha': 0.5,
          'Node size': 10, 
          'Node stroke size': 0.5,
          'Node size exponent': 0.5,
          'Link strength exponent': 0.1,
          'Link width exponent': 0.5,
          'Collision': False,
          'Node fill': '#16a085',
          'Node stroke': '#000000',
          'Link stroke': '#7c7c7c',
          'Label stroke': '#000000',
          'Show labels': False,
          'Zoom': 1.5,
          'Min. link weight %': 0,
          'Max. link weight %': 100
        }
        ```
        
        It's done like so:
        
        ```python
        import networkx as nx
        from netwulf import visualize
        
        G = nx.barabasi_albert_graph(5000,m=1)
        visualize(G,config={
                'Node size': 11,
                'Charge strength' : -0.8,
                'Link distance' : 10,
                'Link width' : 1,
                'Collision' : True,
            })
        ```
        
        ![visualization example](https://github.com/benmaier/netwulf/raw/master/img/BA_2.png)
        
Platform: UNKNOWN
