#!/usr/bin/env python
# coding: utf-8

# # [Goulib](../notebook.ipynb).graph
# efficient Euclidian Graphs for [NetworkX](http://networkx.github.io/) and related algorithms

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from Goulib import notebook
import networkx as nx
from Goulib.graph import *


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g=nx.gn_graph(20)
nx.draw_networkx(g)


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draw_networkx(g, #improved version over nx.draw_networkx
labels=True, # by default they're off
) 


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geo=nx.geographical_threshold_graph(50,25)
geo # NetworkX Graphs do not render in Notebooks...


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geo=GeoGraph(geo)
geo # GeoGraphs do !


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# it's easy to make GeoGraphs look nice
def edge_color(data): # simply define a function that maps edge data to a color
    return plt.get_cmap('Blues')(data['length']/.25)       
geo.render(edge_color=edge_color, node_size=50) #this will set geo.render_args ...
geo #... so here we display them :-)


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d=to_drawing(geo) # graphs can also be converted or added to a Goulib.Drawing
from Goulib.geom import Circle
c=Circle((0.5,0.5),0.5)
c.color='red'
d.append(c)


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nodes=points_on_sphere(120)
sphere=GeoGraph(nodes=nodes) #GeoGraphs can also be built from n-dim points only
sphere.render(edge_color=edge_color, node_size=50) #this will set geo.render_args ...
sphere


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delauney_triangulation(sphere,'Qz') #creates a new GeoGraph from Delauney triangulation of a GeoGraph's nodes


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