From b4a3202d7fbe1b690e11ccb58b49868f8b8451d2 Mon Sep 17 00:00:00 2001 From: Almog-David Date: Thu, 1 Aug 2024 11:34:31 +0300 Subject: [PATCH] added more graph plots for maxsave --- .../comparisons/comparisons.py | 48 +- .../comparisons/spreading_maxsave.csv | 2162 ++++++++--------- .../spreading_maxsave_100_edge_prob.png | Bin 0 -> 41908 bytes .../spreading_maxsave_200_edge_prob.png | Bin 0 -> 42657 bytes .../spreading_maxsave_400_edge_prob.png | Bin 0 -> 41135 bytes .../comparisons/spreading_maxsave_budget.png | Bin 45795 -> 44811 bytes .../spreading_maxsave_preprocessed.csv | 2160 ++++++++-------- 7 files changed, 2199 insertions(+), 2171 deletions(-) create mode 100644 networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png create mode 100644 networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png create mode 100644 networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py index ed6e702..44aeb60 100644 --- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py +++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/comparisons.py @@ -249,12 +249,26 @@ def multiple_runs(runs=10): results.to_csv(cleaned_csv_file, index=False) # Plot the results using the cleaned DataFrame - """ multi_plot_results( results_csv_file=cleaned_csv_file, filter={}, - subplot_rows=1, + subplot_rows=2, subplot_cols=3, + x_field="graph_nodes", + y_field="Nodes_Saved", + z_field="algorithm", + subplot_field="Budget", + sharex=True, + sharey=True, + mean=True, + save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png" + ) + + multi_plot_results( + results_csv_file=cleaned_csv_file, + filter={"graph_nodes":100}, + subplot_rows=3, + subplot_cols=1, x_field="Budget", y_field="Nodes_Saved", z_field="algorithm", @@ -262,24 +276,38 @@ def multiple_runs(runs=10): sharex=True, sharey=True, mean=True, - save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_edge_prob.png" - )""" + save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_100_edge_prob.png" + ) multi_plot_results( results_csv_file=cleaned_csv_file, - filter={}, - subplot_rows=2, - subplot_cols=3, - x_field="graph_nodes", + filter={"graph_nodes":200}, + subplot_rows=3, + subplot_cols=1, + x_field="Budget", y_field="Nodes_Saved", z_field="algorithm", - subplot_field="Budget", + subplot_field="edge_probability", sharex=True, sharey=True, mean=True, - save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_budget.png" + save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_200_edge_prob.png" ) + multi_plot_results( + results_csv_file=cleaned_csv_file, + filter={"graph_nodes":400}, + subplot_rows=3, + subplot_cols=1, + x_field="Budget", + y_field="Nodes_Saved", + z_field="algorithm", + subplot_field="edge_probability", + sharex=True, + sharey=True, + mean=True, + save_to_file="./networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_400_edge_prob.png" + ) print("\n DataFrame-NonSpread: \n", ex2.dataFrame) diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv index 9d19a75..402ba53 100644 --- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv +++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave.csv @@ -1,1082 +1,1082 @@ algorithm,runtime,Budget,graph_nodes,edge_probability,Nodes_Saved -spreading_maxsave,0.09264339995570481,1,100,0.1,20 -heuristic_maxsave,0.040203799959272146,1,100,0.1,17 -spreading_maxsave,0.1724396999925375,2,100,0.1,27 -heuristic_maxsave,0.03794840001501143,2,100,0.1,24 -spreading_maxsave,0.1425126999965869,3,100,0.1,32 -heuristic_maxsave,0.04040630004601553,3,100,0.1,30 -spreading_maxsave,0.16466579999541864,5,100,0.1,40 -heuristic_maxsave,0.04005390004022047,5,100,0.1,40 -spreading_maxsave,0.2110122999874875,7,100,0.1,41 -heuristic_maxsave,0.028694999986328185,7,100,0.1,41 -spreading_maxsave,0.2944994999561459,10,100,0.1,41 -heuristic_maxsave,0.01727830001618713,10,100,0.1,41 -spreading_maxsave,0.07911990000866354,1,100,0.1,7 -heuristic_maxsave,0.0292259999550879,1,100,0.1,7 -spreading_maxsave,0.09824489994207397,2,100,0.1,9 -heuristic_maxsave,0.04382869997061789,2,100,0.1,9 -spreading_maxsave,0.1321790999500081,3,100,0.1,9 -heuristic_maxsave,0.044759999960660934,3,100,0.1,11 -spreading_maxsave,0.15628419996937737,5,100,0.1,11 -heuristic_maxsave,0.04101359995547682,5,100,0.1,11 -spreading_maxsave,0.24242660001618788,7,100,0.1,11 -heuristic_maxsave,0.041445599985308945,7,100,0.1,11 -spreading_maxsave,0.22384240000974387,10,100,0.1,11 -heuristic_maxsave,0.016689600015524775,10,100,0.1,11 -spreading_maxsave,0.08411930000875145,1,100,0.1,19 -heuristic_maxsave,0.028105299978051335,1,100,0.1,17 -spreading_maxsave,0.10869299998739734,2,100,0.1,27 -heuristic_maxsave,0.03825919999508187,2,100,0.1,28 -spreading_maxsave,0.11994180001784116,3,100,0.1,33 -heuristic_maxsave,0.10312139999587089,3,100,0.1,33 -spreading_maxsave,0.16495420003775507,5,100,0.1,38 -heuristic_maxsave,0.047711600025650114,5,100,0.1,41 -spreading_maxsave,0.19130890001542866,7,100,0.1,40 -heuristic_maxsave,0.038614200020674616,7,100,0.1,41 -spreading_maxsave,0.23021830001380295,10,100,0.1,41 -heuristic_maxsave,0.019375799980480224,10,100,0.1,41 -spreading_maxsave,0.1896415000082925,1,100,0.1,21 -heuristic_maxsave,0.03282650001347065,1,100,0.1,18 -spreading_maxsave,0.121705400000792,2,100,0.1,31 -heuristic_maxsave,0.0427724999608472,2,100,0.1,30 -spreading_maxsave,0.15094600000884384,3,100,0.1,38 -heuristic_maxsave,0.0453863000147976,3,100,0.1,36 -spreading_maxsave,0.20308449998265132,5,100,0.1,45 -heuristic_maxsave,0.05758359999163076,5,100,0.1,43 -spreading_maxsave,0.29872449999675155,7,100,0.1,45 -heuristic_maxsave,0.04064029996516183,7,100,0.1,48 -spreading_maxsave,0.2516182999825105,10,100,0.1,48 -heuristic_maxsave,0.016990500036627054,10,100,0.1,48 -spreading_maxsave,0.07848939998075366,1,100,0.1,22 -heuristic_maxsave,0.03398339997511357,1,100,0.1,18 -spreading_maxsave,0.11097430001245812,2,100,0.1,31 -heuristic_maxsave,0.041641200019512326,2,100,0.1,30 -spreading_maxsave,0.1381746999686584,3,100,0.1,37 -heuristic_maxsave,0.03621019999263808,3,100,0.1,34 -spreading_maxsave,0.2528164000250399,5,100,0.1,45 -heuristic_maxsave,0.043102200026623905,5,100,0.1,45 -spreading_maxsave,0.19939890003297478,7,100,0.1,45 -heuristic_maxsave,0.02684230002341792,7,100,0.1,47 -spreading_maxsave,0.24125069996807724,10,100,0.1,47 -heuristic_maxsave,0.020268899970687926,10,100,0.1,47 -spreading_maxsave,0.0854721000068821,1,100,0.1,17 -heuristic_maxsave,0.08363900001859292,1,100,0.1,17 -spreading_maxsave,0.1281881000031717,2,100,0.1,23 -heuristic_maxsave,0.03755450004246086,2,100,0.1,21 -spreading_maxsave,0.12546589999692515,3,100,0.1,27 -heuristic_maxsave,0.03962869994575158,3,100,0.1,26 -spreading_maxsave,0.15662339999107644,5,100,0.1,28 -heuristic_maxsave,0.03828159999102354,5,100,0.1,28 -spreading_maxsave,0.18810999998822808,7,100,0.1,28 -heuristic_maxsave,0.03090790001442656,7,100,0.1,28 -spreading_maxsave,0.30125720001524314,10,100,0.1,28 -heuristic_maxsave,0.017838000028859824,10,100,0.1,28 -spreading_maxsave,0.08552369999233633,1,100,0.1,16 -heuristic_maxsave,0.027769100037403405,1,100,0.1,13 -spreading_maxsave,0.10068610002053902,2,100,0.1,21 -heuristic_maxsave,0.04423470003530383,2,100,0.1,20 -spreading_maxsave,0.13356990000465885,3,100,0.1,24 -heuristic_maxsave,0.04479429998900741,3,100,0.1,24 -spreading_maxsave,0.16404090001014993,5,100,0.1,26 -heuristic_maxsave,0.11668720003217459,5,100,0.1,28 -spreading_maxsave,0.2050693000201136,7,100,0.1,28 -heuristic_maxsave,0.03429629997117445,7,100,0.1,28 -spreading_maxsave,0.2218876999686472,10,100,0.1,28 -heuristic_maxsave,0.018068499979563057,10,100,0.1,28 -spreading_maxsave,0.0791377000277862,1,100,0.1,22 -heuristic_maxsave,0.03288170002633706,1,100,0.1,18 -spreading_maxsave,0.11803869996219873,2,100,0.1,28 -heuristic_maxsave,0.03512120002415031,2,100,0.1,27 -spreading_maxsave,0.20721060002688318,3,100,0.1,34 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-spreading_maxsave,0.07889300002716482,1,100,0.1,6 -heuristic_maxsave,0.028290099988225847,1,100,0.1,6 -spreading_maxsave,0.11584990000119433,2,100,0.1,7 -heuristic_maxsave,0.054743300017435104,2,100,0.1,7 -spreading_maxsave,0.15051259996835142,3,100,0.1,7 -heuristic_maxsave,0.037892799999099225,3,100,0.1,7 -spreading_maxsave,0.19848099997034296,5,100,0.1,7 -heuristic_maxsave,0.1585027999826707,5,100,0.1,7 -spreading_maxsave,0.1958219999796711,7,100,0.1,7 -heuristic_maxsave,0.057839600020088255,7,100,0.1,7 -spreading_maxsave,0.2325820999685675,10,100,0.1,7 -heuristic_maxsave,0.016186999971978366,10,100,0.1,7 -spreading_maxsave,0.07914949994301423,1,100,0.5,6 -heuristic_maxsave,0.037611299951095134,1,100,0.5,6 -spreading_maxsave,0.09512509999331087,2,100,0.5,6 -heuristic_maxsave,0.10829579998971894,2,100,0.5,8 -spreading_maxsave,0.14736010000342503,3,100,0.5,7 -heuristic_maxsave,0.06443410000065342,3,100,0.5,9 -spreading_maxsave,0.11343999998643994,5,100,0.5,9 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zq#Ow1A>Xbe$~(4jaf!?Ovc&0MGb^*bita0>4FSIEHmg5<62o)G&u;=OIzOM|q2i!h zU4Qhw2ZL(1=LI%TC|%_ePf_%ED}xdeB&*OxbqmULP@nTXDNZq+&qU)pFJj)McZwU= zZX-X_A-=u~Gj51o@~F3XdgXF%w7%7~e`1T{|7=bUv4{~HG^c;xpfOjvC2&$~SD9`h P;m<(#fKKTi`-p!5v(n8w diff --git a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv index 3da94d9..1a0c099 100644 --- a/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv +++ b/networkz/algorithms/approximation/tests/test_firefighter_problem/comparisons/spreading_maxsave_preprocessed.csv @@ -1,1081 +1,1081 @@ algorithm,runtime,Budget,graph_nodes,edge_probability,Nodes_Saved -spreading_maxsave,0.0926433999557048,1,100.0,0.1,20 -heuristic_maxsave,0.0402037999592721,1,100.0,0.1,17 -spreading_maxsave,0.1724396999925375,2,100.0,0.1,27 -heuristic_maxsave,0.0379484000150114,2,100.0,0.1,24 -spreading_maxsave,0.1425126999965869,3,100.0,0.1,32 -heuristic_maxsave,0.0404063000460155,3,100.0,0.1,30 -spreading_maxsave,0.1646657999954186,5,100.0,0.1,40 -heuristic_maxsave,0.0400539000402204,5,100.0,0.1,40 -spreading_maxsave,0.2110122999874875,7,100.0,0.1,41 -heuristic_maxsave,0.0286949999863281,7,100.0,0.1,41 -spreading_maxsave,0.2944994999561459,10,100.0,0.1,41 -heuristic_maxsave,0.0172783000161871,10,100.0,0.1,41 -spreading_maxsave,0.0791199000086635,1,100.0,0.1,7 -heuristic_maxsave,0.0292259999550879,1,100.0,0.1,7 -spreading_maxsave,0.0982448999420739,2,100.0,0.1,9 -heuristic_maxsave,0.0438286999706178,2,100.0,0.1,9 -spreading_maxsave,0.1321790999500081,3,100.0,0.1,9 -heuristic_maxsave,0.0447599999606609,3,100.0,0.1,11 -spreading_maxsave,0.1562841999693773,5,100.0,0.1,11 -heuristic_maxsave,0.0410135999554768,5,100.0,0.1,11 -spreading_maxsave,0.2424266000161878,7,100.0,0.1,11 -heuristic_maxsave,0.0414455999853089,7,100.0,0.1,11 -spreading_maxsave,0.2238424000097438,10,100.0,0.1,11 -heuristic_maxsave,0.0166896000155247,10,100.0,0.1,11 -spreading_maxsave,0.0841193000087514,1,100.0,0.1,19 -heuristic_maxsave,0.0281052999780513,1,100.0,0.1,17 -spreading_maxsave,0.1086929999873973,2,100.0,0.1,27 -heuristic_maxsave,0.0382591999950818,2,100.0,0.1,28 -spreading_maxsave,0.1199418000178411,3,100.0,0.1,33 -heuristic_maxsave,0.1031213999958708,3,100.0,0.1,33 -spreading_maxsave,0.164954200037755,5,100.0,0.1,38 -heuristic_maxsave,0.0477116000256501,5,100.0,0.1,41 -spreading_maxsave,0.1913089000154286,7,100.0,0.1,40 -heuristic_maxsave,0.0386142000206746,7,100.0,0.1,41 -spreading_maxsave,0.2302183000138029,10,100.0,0.1,41 -heuristic_maxsave,0.0193757999804802,10,100.0,0.1,41 -spreading_maxsave,0.1896415000082925,1,100.0,0.1,21 -heuristic_maxsave,0.0328265000134706,1,100.0,0.1,18 -spreading_maxsave,0.121705400000792,2,100.0,0.1,31 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