def Draw_Suspect_Fraud_Node (suspect, Anomalies_Subgraph):
import d3py
import networkx as nx
import random
Anomalies_Subgraph = nx.ego_graph(Anomalies_Subgraph,suspect,radius=3)
name = str(random.random()) + "_graph"
with d3py.NetworkXFigure(Anomalies_Subgraph, name=name,width=1000, height=1000) as p:
p += d3py.ForceLayout()
p.css['.node'] = {'fill': 'blue', 'stroke': 'magenta'}
p.show()
def draw_d3_graph(RG):
if module_exists('d3py'):
import d3py
with d3py.NetworkXFigure(RG, width=1500, height=1500) as p:
p += d3py.ForceLayout()
p.css['.node'] = {'fill': 'blue', 'stroke': 'magenta', 'title': 'bla'}
p.css['.link'] = {'stroke': 'red', 'stoke-width': '3px'}
p.show()
else :
print >> sys.stderr, 'Need to install Module: "d3py"'
return
import pandas as pd
import d3py
import networkx as nx
df = pd.DataFrame().from_csv("sna_example1.csv", index_col=False)
G = nx.from_pandas_dataframe(df, "source", "target")
with d3py.NetworkXFigure(G, name="graph", width=200, height=200) as p:
p += d3py.ForceLayout()
# To Do - add labels to d3py graphs
p.css['.node'] = {
'fill': 'blue',
'stroke': 'magenta',
'label': 'test',
"font-family": "Arial",
"font-size": 12
}
p.save()
p.show()
import d3py
import networkx as nx
import logging
logging.basicConfig(level=logging.DEBUG)
G=nx.Graph()
G.add_edge(1,2)
G.add_edge(1,3)
G.add_edge(3,2)
G.add_edge(3,4)
G.add_edge(4,2)
# use 'with' if you are writing a script and want to serve this up forever
with d3py.NetworkXFigure(G, width=500, height=500 , host='localhost') as p:
p += d3py.ForceLayout()
p.show()
import d3py
import networkx as nx
import logging
logging.basicConfig(level=logging.DEBUG)
G=nx.Graph()
G.add_edge(1,2)
G.add_edge(1,3)
G.add_edge(3,2)
G.add_edge(3,4)
G.add_edge(4,2)
# use 'with' if you are writing a script and want to serve this up forever
with d3py.NetworkXFigure(G, width=500, height=500) as p:
p += d3py.ForceLayout()
p.show()