#!/usr/bin/env python
"""
Minard's data from Napoleon's 1812-1813 Russian Campaign.
http://www.math.yorku.ca/SCS/Gallery/minard/minard.txt
"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
# Copyright (C) 2006 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>
# All rights reserved.
# BSD license.
import matplotlib.pyplot as plt
import string
import networkx as nx
def minard_graph():
data1="""\
24.0,54.9,340000,A,1
24.5,55.0,340000,A,1
25.5,54.5,340000,A,1
26.0,54.7,320000,A,1
27.0,54.8,300000,A,1
28.0,54.9,280000,A,1
28.5,55.0,240000,A,1
29.0,55.1,210000,A,1
30.0,55.2,180000,A,1
30.3,55.3,175000,A,1
32.0,54.8,145000,A,1
33.2,54.9,140000,A,1
34.4,55.5,127100,A,1
35.5,55.4,100000,A,1
36.0,55.5,100000,A,1
37.6,55.8,100000,A,1
37.7,55.7,100000,R,1
37.5,55.7,98000,R,1
37.0,55.0,97000,R,1
36.8,55.0,96000,R,1
35.4,55.3,87000,R,1
34.3,55.2,55000,R,1
33.3,54.8,37000,R,1
32.0,54.6,24000,R,1
30.4,54.4,20000,R,1
29.2,54.3,20000,R,1
28.5,54.2,20000,R,1
28.3,54.3,20000,R,1
27.5,54.5,20000,R,1
26.8,54.3,12000,R,1
26.4,54.4,14000,R,1
25.0,54.4,8000,R,1
24.4,54.4,4000,R,1
24.2,54.4,4000,R,1
24.1,54.4,4000,R,1"""
data2="""\
24.0,55.1,60000,A,2
24.5,55.2,60000,A,2
25.5,54.7,60000,A,2
26.6,55.7,40000,A,2
27.4,55.6,33000,A,2
28.7,55.5,33000,R,2
29.2,54.2,30000,R,2
28.5,54.1,30000,R,2
28.3,54.2,28000,R,2"""
data3="""\
24.0,55.2,22000,A,3
24.5,55.3,22000,A,3
24.6,55.8,6000,A,3
24.6,55.8,6000,R,3
24.2,54.4,6000,R,3
24.1,54.4,6000,R,3"""
cities="""\
24.0,55.0,Kowno
25.3,54.7,Wilna
26.4,54.4,Smorgoni
26.8,54.3,Moiodexno
27.7,55.2,Gloubokoe
27.6,53.9,Minsk
28.5,54.3,Studienska
28.7,55.5,Polotzk
29.2,54.4,Bobr
30.2,55.3,Witebsk
30.4,54.5,Orscha
30.4,53.9,Mohilow
32.0,54.8,Smolensk
33.2,54.9,Dorogobouge
34.3,55.2,Wixma
34.4,55.5,Chjat
36.0,55.5,Mojaisk
37.6,55.8,Moscou
36.6,55.3,Tarantino
36.5,55.0,Malo-Jarosewii"""
c={}
for line in string.split(cities,'\n'):
x,y,name=string.split(line,',')
c[name]=(float(x),float(y))
g=[]
for data in [data1,data2,data3]:
G=nx.Graph()
i=0
G.pos={} # location
G.pop={} # size
last=None
for line in string.split(data,'\n'):
x,y,p,r,n=string.split(line,',')
G.pos[i]=(float(x),float(y))
G.pop[i]=int(p)
if last is None:
last=i
else:
G.add_edge(i,last,(r,int(n)))
last=i
i=i+1
g.append(G)
return g,c
if __name__ == "__main__":
(g,city)=minard_graph()
plt.figure(1,figsize=(11,5))
plt.clf()
colors=['b','g','r']
for G in g:
c=colors.pop(0)
node_size=[int(G.pop[n]/300.0) for n in G]
nx.draw_networkx_edges(G,G.pos,edge_color=c,width=4,alpha=0.5)
nx.draw_networkx_nodes(G,G.pos,node_size=node_size,node_color=c,alpha=0.5)
nx.draw_networkx_nodes(G,G.pos,node_size=5,node_color='k')
for c in city:
x,y=city[c]
plt.text(x,y+0.1,c)
plt.savefig("napoleon_russian_campaign.png")
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