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Plot.py
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Plot.py
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# -*- coding: utf-8 -*-
"""Plot.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1IhJhUyTULo3Vuv-QEM4QKGb9IE7nmbRy
"""
from matplotlib import pyplot as plt
import matplotlib.colors as mcolors
SD_X = 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312,1.01323,1.01325,1.01099,1.0111,1.01112,1.00655,1.00671,1.00675,1.00559,1.00565,1.00332,1.00341,1.00329,1.00326,1.0027,1.00273,1.00257,1.00255,1.00226,1.00228,1.00218,1.00216,1.00128,1.0013,1.00127,1.00126,1.0012,1.00121,1.00118,1.00117,1.00071,1.00071,1.00071,1.0007,1.0007,1.0007,1.0007,1.00059,1.00059,1.00058,1.00058,1.00056,1.00055,1.00054,1.00054,1.00049,1.00048,1.00028,1.00029,1.00029,1.00029,1.00027,1.00028,1.00027,1.00027,1.00027,1.00027,1.00026,1.00025,1.00015,1.00015,1.00015,1.00015,1.00015,1.00015,1.00014,1.00015,1.00012,1.00012,1.00012,1.00012,1.00012,1.00012,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00005,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004,1.00004]
SD_Y = [1.2,1.23042,1.23662,1.23681,1.23656,1.23641,1.23575,1.23559,1.23357,1.23363,1.23279,1.23263,1.23101,1.23107,1.23001,1.22984,1.22853,1.22858,1.22754,1.22736,1.22607,1.22612,1.2253,1.22514,1.22357,1.22362,1.22282,1.22266,1.2214,1.22144,1.22042,1.22025,1.21924,1.21927,1.218,1.21782,1.217,1.21702,1.21576,1.21558,1.21478,1.2148,1.21354,1.21337,1.21257,1.21259,1.21135,1.21117,1.21038,1.2104,1.20942,1.20927,1.2083,1.20833,1.20737,1.20721,1.20643,1.20645,1.20525,1.20507,1.20444,1.20446,1.20325,1.20309,1.20232,1.20234,1.20141,1.20125,1.20049,1.20051,1.19958,1.19943,1.19868,1.1987,1.19777,1.19762,1.19687,1.19689,1.19598,1.19583,1.19509,1.19511,1.19439,1.19425,1.19335,1.19337,1.19267,1.19253,1.1918,1.19182,1.19093,1.19078,1.19005,1.19007,1.18938,1.18924,1.18835,1.18838,1.18784,1.18771,1.18684,1.18686,1.18618,1.18604,1.18533,1.18535,1.18467,1.18454,1.18384,1.18385,1.183,1.18286,1.18229,1.1823,1.18173,1.18174,1.1809,1.18076,1.18019,1.18021,1.17964,1.17966,1.1791,1.17911,1.17855,1.17857,1.17801,1.17802,1.17747,1.17748,1.17693,1.17694,1.17639,1.1764,1.17585,1.17586,1.17532,1.17533,1.17465,1.17467,1.17416,1.17405,1.17323,1.17325,1.17275,1.17263,1.17197,1.17199,1.17136,1.17123,1.1707,1.17071,1.17005,1.17007,1.16957,1.16943,1.16905,1.16891,1.16843,1.16831,1.16766,1.16768,1.16719,1.16705,1.16667,1.16654,1.16606,1.16595,1.16531,1.16532,1.16484,1.1647,1.16433,1.1642,1.16372,1.16361,1.16298,1.163,1.16249,1.1625,1.16187,1.16189,1.16142,1.16128,1.16091,1.16079,1.16032,1.16018,1.15981,1.15969,1.1591,1.15898,1.15848,1.15849,1.15788,1.1579,1.15744,1.15733,1.15672,1.15674,1.15628,1.15617,1.15568,1.15569,1.15495,1.15497,1.15462,1.15449,1.15404,1.15391,1.15347,1.15336,1.15288,1.15289,1.15215,1.15218,1.15183,1.15171,1.15126,1.15114,1.1507,1.15057,1.15013,1.15,1.14966,1.14954,1.14898,1.14887,1.1484,1.14841,1.1477,1.14772,1.14746,1.14735,1.14665,1.14654,1.14616,1.14616,1.14529,1.14532,1.14512,1.14502,1.14392,1.14379,1.14353,1.14352,1.14222,1.14227,1.14212,1.14203,1.14067,1.14052,1.14032,1.1403,1.1401,1.14008,1.13983,1.13982,1.13824,1.1383,1.13819,1.13809,1.13794,1.13785,1.13653,1.13639,1.13623,1.13619,1.13605,1.136,1.13588,1.1358,1.1357,1.13552,1.13542,1.13439,1.13426,1.13407,1.13405,1.13381,1.1338,1.13361,1.13359,1.13335,1.13334,1.13184,1.13189,1.13178,1.13168,1.13154,1.13146,1.13018,1.13006,1.12987,1.12985,1.12962,1.12961,1.12778,1.12785,1.12778,1.12768,1.12751,1.12742,1.12619,1.12606,1.12591,1.12587,1.12575,1.1257,1.12559,1.12551,1.12542,1.12525,1.12516,1.12395,1.12382,1.12368,1.12364,1.12352,1.12347,1.12336,1.12329,1.12318,1.12312,1.12299,1.12296,1.12281,1.12278,1.12252,1.12252,1.12113,1.12117,1.12108,1.12098,1.12085,1.12077,1.11929,1.11916,1.11902,1.11899,1.11874,1.11873,1.11705,1.11712,1.11706,1.11694,1.11691,1.11677,1.11673,1.11662,1.11657,1.11647,1.1164,1.11629,1.11623,1.11614,1.11598,1.1159,1.11448,1.11435,1.11423,1.11419,1.11409,1.11402,1.11392,1.11386,1.11375,1.11371,1.11358,1.11354,1.1134,1.11338,1.11314,1.11313,1.11153,1.11159,1.11152,1.11144,1.11128,1.1112,1.10984,1.10972,1.10958,1.10956,1.10932,1.10932,1.10777,1.10782,1.10776,1.10768,1.10749,1.1074,1.10636,1.10625,1.10612,1.10609,1.10598,1.10594,1.10585,1.10578,1.10569,1.10562,1.10553,1.10548,1.10537,1.10534,1.10521,1.10518,1.10505,1.10503,1.10475,1.10475,1.10355,1.10359,1.10353,1.10344,1.10338,1.1033,1.10315,1.10308,1.10148,1.10135,1.10125,1.10122,1.10107,1.10105,1.10087,1.10086,1.10068,1.10067,1.10049,1.10048,1.09827,1.09834,1.09831,1.09819,1.09817,1.09804,1.09802,1.09776,1.09776,1.09636,1.09641,1.09637,1.09627,1.09624,1.09612,1.0961,1.09598,1.09595,1.09586,1.09581,1.09571,1.09568,1.09557,1.09554,1.09542,1.0954,1.0953,1.09526,1.09516,1.09513,1.09502,1.09499,1.09487,1.09485,1.09473,1.09471,1.09445,1.09446,1.09311,1.09315,1.09311,1.09301,1.09298,1.09289,1.09284,1.09275,1.0927,1.09261,1.09256,1.09249,1.09232,1.09225,1.09081,1.0907,1.09062,1.09055,1.09048,1.09035,1.09029,1.08851,1.08839,1.08831,1.08826,1.08817,1.08812,1.08806,1.0879,1.08783,1.08645,1.08635,1.08626,1.08623,1.0861,1.08609,1.0859,1.08589,1.08399,1.08405,1.08403,1.08392,1.0839,1.0838,1.08377,1.08367,1.08365,1.08354,1.08352,1.08341,1.0834,1.08317,1.08317,1.08133,1.08139,1.08136,1.08126,1.08124,1.08114,1.08112,1.08102,1.081,1.08089,1.08088,1.08066,1.08066,1.07887,1.07892,1.0789,1.0788,1.07878,1.07868,1.07866,1.07856,1.07854,1.07844,1.07842,1.07832,1.0783,1.07821,1.07819,1.07811,1.07807,1.07799,1.07796,1.07789,1.07783,1.07776,1.07765,1.0776,1.07516,1.07504,1.07498,1.07488,1.07482,1.07247,1.07235,1.0723,1.07217,1.07211,1.07031,1.0702,1.07015,1.07002,1.06997,1.06777,1.06765,1.0676,1.0675,1.06745,1.06478,1.06466,1.06461,1.06454,1.06448,1.06439,1.06433,1.06427,1.06421,1.06412,1.06407,1.06153,1.06142,1.06137,1.0613,1.06125,1.06116,1.06111,1.06104,1.06099,1.0609,1.06086,1.05782,1.0577,1.05766,1.05477,1.05467,1.05462,1.05456,1.05451,1.05444,1.0544,1.05097,1.05086,1.05082,1.04761,1.04751,1.04748,1.04447,1.04438,1.04435,1.04082,1.04073,1.04069,1.03745,1.03736,1.03733,1.03359,1.03351,1.03348,1.0308,1.03073,1.03071,1.02682,1.02676,1.02674,1.02249,1.02243,1.02241,1.01367,1.01359,1.01356,1.01139,1.01136,1.0069,1.00685,1.00654,1.00655,1.0055,1.00548,1.0051,1.00511,1.00459,1.00458,1.00432,1.00433,1.00262,1.00261,1.00253,1.00253,1.00243,1.00242,1.00235,1.00236,1.00142,1.00142,1.00141,1.00141,1.00141,1.00141,1.00141,1.00117,1.00118,1.00116,1.00116,1.00111,1.00111,1.00109,1.00108,1.00097,1.00097,1.00059,1.00058,1.00058,1.00058,1.00056,1.00055,1.00055,1.00055,1.00054,1.00054,1.00051,1.00051,1.0003,1.0003,1.0003,1.0003,1.0003,1.0003,1.00029,1.00029,1.00024,1.00024,1.00024,1.00024,1.00023,1.00023,1.0002,1.0002,1.0002,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00019,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00018,1.00011,1.00011,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.0001,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00009,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008,1.00008]
NM_X = [1.2,1.19592,1.11594,1.06512,1.02218,1.00598,1.0003,1,1,1]
NM_Y = [1.2,1.4302,1.23891,1.13189,1.043,1.01172,1.00056,1,1,1]
plt.plot(SD_X, SD_Y, 'bd-', linewidth = 1, c='olive')
plt.plot(1, 1, 's', linewidth = 1, c='red')
plt.plot(1.2, 1.2, 'o', linewidth = 1, c='blue')
plt.xlabel("X1", )
plt.ylabel("X2")
plt.gca().legend(("SD", "Global-Min", "Start"))
plt.title("Minimization path")
plt.rc('axes', titlesize=15)
plt.rc('axes', labelsize=12)
plt.show()
plt.plot(NM_X, NM_Y, 'o-', linewidth = 1, c='darkcyan')
plt.plot(1, 1, 's', linewidth = 1, c='red')
plt.plot(1.2, 1.2, 'o', linewidth = 1, c='blue')
plt.xlabel("X1", )
plt.ylabel("X2")
plt.gca().legend(("NM", "Global-Min", "Start"))
plt.title("Minimization path")
plt.rc('axes', titlesize=15)
plt.rc('axes', labelsize=12)
plt.show()
plt.plot(SD_X, SD_Y, 'bd-', linewidth = 1, c='olive')
plt.plot(NM_X, NM_Y, 'o-', linewidth = 1, c='darkcyan')
plt.plot(1, 1, 's', linewidth = 1, c='red')
plt.plot(1.2, 1.2, 'o', linewidth = 1, c='blue')
plt.xlabel("X1", )
plt.ylabel("X2")
plt.gca().legend(("SD", "NM", "Global-Min", "Start"))
plt.title("Minimization path")
plt.rc('axes', titlesize=15)
plt.rc('axes', labelsize=12)
plt.show()