Mercurial > repos > shellac > sam_consensus_v3
annotate env/share/doc/networkx-2.5/examples/graph/plot_napoleon_russian_campaign.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 """ |
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2 ========================= |
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3 Napoleon Russian Campaign |
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4 ========================= |
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5 |
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6 Minard's data from Napoleon's 1812-1813 Russian Campaign. |
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7 http://www.math.yorku.ca/SCS/Gallery/minard/minard.txt |
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8 |
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9 """ |
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10 |
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11 import matplotlib.pyplot as plt |
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12 import networkx as nx |
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13 |
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14 |
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15 def minard_graph(): |
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16 data1 = """\ |
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17 24.0,54.9,340000,A,1 |
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18 24.5,55.0,340000,A,1 |
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19 25.5,54.5,340000,A,1 |
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20 26.0,54.7,320000,A,1 |
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21 27.0,54.8,300000,A,1 |
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30 35.5,55.4,100000,A,1 |
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31 36.0,55.5,100000,A,1 |
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32 37.6,55.8,100000,A,1 |
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33 37.7,55.7,100000,R,1 |
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34 37.5,55.7,98000,R,1 |
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35 37.0,55.0,97000,R,1 |
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36 36.8,55.0,96000,R,1 |
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37 35.4,55.3,87000,R,1 |
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38 34.3,55.2,55000,R,1 |
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39 33.3,54.8,37000,R,1 |
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40 32.0,54.6,24000,R,1 |
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41 30.4,54.4,20000,R,1 |
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42 29.2,54.3,20000,R,1 |
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43 28.5,54.2,20000,R,1 |
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44 28.3,54.3,20000,R,1 |
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45 27.5,54.5,20000,R,1 |
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46 26.8,54.3,12000,R,1 |
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47 26.4,54.4,14000,R,1 |
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48 25.0,54.4,8000,R,1 |
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49 24.4,54.4,4000,R,1 |
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50 24.2,54.4,4000,R,1 |
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51 24.1,54.4,4000,R,1""" |
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52 data2 = """\ |
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53 24.0,55.1,60000,A,2 |
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54 24.5,55.2,60000,A,2 |
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55 25.5,54.7,60000,A,2 |
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56 26.6,55.7,40000,A,2 |
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57 27.4,55.6,33000,A,2 |
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58 28.7,55.5,33000,R,2 |
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59 29.2,54.2,30000,R,2 |
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60 28.5,54.1,30000,R,2 |
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61 28.3,54.2,28000,R,2""" |
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62 data3 = """\ |
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63 24.0,55.2,22000,A,3 |
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64 24.5,55.3,22000,A,3 |
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65 24.6,55.8,6000,A,3 |
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66 24.6,55.8,6000,R,3 |
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67 24.2,54.4,6000,R,3 |
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68 24.1,54.4,6000,R,3""" |
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69 cities = """\ |
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70 24.0,55.0,Kowno |
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71 25.3,54.7,Wilna |
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72 26.4,54.4,Smorgoni |
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73 26.8,54.3,Moiodexno |
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74 27.7,55.2,Gloubokoe |
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75 27.6,53.9,Minsk |
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76 28.5,54.3,Studienska |
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77 28.7,55.5,Polotzk |
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78 29.2,54.4,Bobr |
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79 30.2,55.3,Witebsk |
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80 30.4,54.5,Orscha |
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81 30.4,53.9,Mohilow |
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82 32.0,54.8,Smolensk |
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83 33.2,54.9,Dorogobouge |
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84 34.3,55.2,Wixma |
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85 34.4,55.5,Chjat |
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86 36.0,55.5,Mojaisk |
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87 37.6,55.8,Moscou |
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88 36.6,55.3,Tarantino |
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89 36.5,55.0,Malo-Jarosewii""" |
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90 |
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91 c = {} |
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92 for line in cities.split("\n"): |
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93 x, y, name = line.split(",") |
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94 c[name] = (float(x), float(y)) |
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95 |
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96 g = [] |
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97 |
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98 for data in [data1, data2, data3]: |
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99 G = nx.Graph() |
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100 i = 0 |
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101 G.pos = {} # location |
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102 G.pop = {} # size |
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103 last = None |
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104 for line in data.split("\n"): |
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105 x, y, p, r, n = line.split(",") |
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106 G.pos[i] = (float(x), float(y)) |
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107 G.pop[i] = int(p) |
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108 if last is None: |
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109 last = i |
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110 else: |
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111 G.add_edge(i, last, **{r: int(n)}) |
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112 last = i |
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113 i = i + 1 |
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114 g.append(G) |
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115 |
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116 return g, c |
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117 |
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118 |
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119 (g, city) = minard_graph() |
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120 |
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121 plt.figure(1, figsize=(11, 5)) |
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122 plt.clf() |
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123 colors = ["b", "g", "r"] |
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124 for G in g: |
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125 c = colors.pop(0) |
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126 node_size = [int(G.pop[n] / 300.0) for n in G] |
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127 nx.draw_networkx_edges(G, G.pos, edge_color=c, width=4, alpha=0.5) |
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128 nx.draw_networkx_nodes(G, G.pos, node_size=node_size, node_color=c, alpha=0.5) |
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129 nx.draw_networkx_nodes(G, G.pos, node_size=5, node_color="k") |
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130 |
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131 for c in city: |
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132 x, y = city[c] |
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133 plt.text(x, y + 0.1, c) |
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134 plt.show() |