Interactively visualize networks with Ulf Aslak's d3-tool from Python.
Project description
.. figure:: https://github.com/benmaier/netwulf/raw/master/img/logo_small.png
:alt: logo
logo
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
Beware: ``netwulf`` only works with Python 3!
Example
-------
Standard
~~~~~~~~
Create a network and look at it
.. code:: python
import networkx as nx
from netwulf import visualize
G = nx.barabasi_albert_graph(100,m=1)
visualize(G)
.. figure:: https://github.com/benmaier/netwulf/raw/master/img/BA_1.png
:alt: visualization example
visualization example
Config
~~~~~~
It's possible to change the default settings which are
.. code:: 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:
.. code:: 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,
})
.. figure:: https://github.com/benmaier/netwulf/raw/master/img/BA_2.png
:alt: visualization example
visualization example
:alt: logo
logo
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
Beware: ``netwulf`` only works with Python 3!
Example
-------
Standard
~~~~~~~~
Create a network and look at it
.. code:: python
import networkx as nx
from netwulf import visualize
G = nx.barabasi_albert_graph(100,m=1)
visualize(G)
.. figure:: https://github.com/benmaier/netwulf/raw/master/img/BA_1.png
:alt: visualization example
visualization example
Config
~~~~~~
It's possible to change the default settings which are
.. code:: 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:
.. code:: 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,
})
.. figure:: https://github.com/benmaier/netwulf/raw/master/img/BA_2.png
:alt: visualization example
visualization example
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