Test curves
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//TFDi Designs MD-11F (P&W PW4662) vRC1.6.5_PW_F 04APR25
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//TFDi Designs MD-11F (P&W PW4662) vRC1.6.5_PW_F 04APR25
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[VERSION]
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[VERSION]
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major = 3
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//KH Bump major
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major = 4
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minor = 1
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minor = 1
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[GENERALENGINEDATA]
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[GENERALENGINEDATA]
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@@ -204,7 +204,7 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 68,
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"execution_count": 69,
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"id": "c2d4f3af",
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"id": "c2d4f3af",
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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@@ -212,7 +212,28 @@
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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"0.000000:0.000000:0.206803:0.280661:0.354519:0.428377:0.502235:0.576093:0.649951:0.723810:0.797668,0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000:0.000000,20.000000:0.020334:0.018926:0.018365:0.017768:0.017149:0.016515:0.015863:0.015208:0.014534:0.013860,25.000000:0.029434:0.027422:0.026632:0.025797:0.024940:0.024059:0.023152:0.022235:0.021306:0.020375,30.000000:0.033986:0.030672:0.028919:0.026653:0.025928:0.025184:0.025802:0.021374:0.018702:0.023291,35.000000:0.070581:0.064962:0.062424:0.059648:0.056670:0.053536:0.050308:0.046924:0.043444:0.039910,40.000000:0.115706:0.107129:0.103436:0.099453:0.095210:0.090734:0.086072:0.081361:0.076653:0.071841,45.000000:0.164968:0.152931:0.147828:0.142341:0.136513:0.130440:0.124498:0.118283:0.111870:0.105388,50.000000:0.218546:0.202746:0.196107:0.188982:0.181423:0.174048:0.166338:0.158287:0.149967:0.142050,55.000000:0.276676:0.256828:0.248552:0.239686:0.230419:0.221263:0.211681:0.201686:0.191443:0.181712,60.000000:0.339274:0.315126:0.305110:0.294428:0.283152:0.272084:0.260539:0.248522:0.236179:0.224430,65.000000:0.406072:0.377362:0.365531:0.352959:0.339697:0.326347:0.312745:0.298645:0.284078:0.270104,70.000000:0.476658:0.443151:0.429436:0.414899:0.399618:0.383785:0.368032:0.351772:0.335030:0.318542,75.000000:0.550568:0.512033:0.496350:0.479778:0.462414:0.444307:0.426075:0.407561:0.388596:0.369500,80.000000:0.627228:0.583453:0.565725:0.547049:0.527537:0.507273:0.486477:0.465611:0.444349:0.422704,85.000000:0.705886:0.656705:0.636874:0.616041:0.594344:0.571897:0.548783:0.525433:0.501810:0.477902,90.000000:0.785094:0.730712:0.708789:0.685821:0.661969:0.637381:0.612132:0.586376:0.560384:0.534209,95.000000:0.863065:0.803680:0.779839:0.754920:0.729110:0.702557:0.675366:0.647478:0.619241:0.590907,100.000000:0.936071:0.872277:0.847042:0.820755:0.793551:0.765559:0.736891:0.707114:0.677066:0.646923,105.000000:0.994083:0.928996:0.903986:0.877967:0.850934:0.822172:0.792494:0.762245:0.731543:0.700495,110.000000:0.974676:0.921881:0.905331:0.888737:0.871094:0.851457:0.828909:0.802711:0.772336:0.737555,\n"
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"0.000000,0.000000,0.206803,0.280661,0.354519,0.428377,0.502235,0.576093,0.649951,0.723810,0.797668\n",
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"0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,0.000000\n",
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||||||
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"20.000000,0.020334,0.018926,0.018365,0.017768,0.017149,0.016515,0.015863,0.015208,0.014534,0.013860\n",
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"25.000000,0.029434,0.027422,0.026632,0.025797,0.024940,0.024059,0.023152,0.022235,0.021306,0.020375\n",
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"30.000000,0.033986,0.030672,0.028919,0.026653,0.025928,0.025184,0.025802,0.021374,0.018702,0.023291\n",
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"35.000000,0.070581,0.064962,0.062424,0.059648,0.056670,0.053536,0.050308,0.046924,0.043444,0.039910\n",
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"40.000000,0.115706,0.107129,0.103436,0.099453,0.095210,0.090734,0.086072,0.081361,0.076653,0.071841\n",
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"45.000000,0.164968,0.152931,0.147828,0.142341,0.136513,0.130440,0.124498,0.118283,0.111870,0.105388\n",
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"50.000000,0.218546,0.202746,0.196107,0.188982,0.181423,0.174048,0.166338,0.158287,0.149967,0.142050\n",
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"55.000000,0.276676,0.256828,0.248552,0.239686,0.230419,0.221263,0.211681,0.201686,0.191443,0.181712\n",
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"60.000000,0.339274,0.315126,0.305110,0.294428,0.283152,0.272084,0.260539,0.248522,0.236179,0.224430\n",
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||||||
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"65.000000,0.406072,0.377362,0.365531,0.352959,0.339697,0.326347,0.312745,0.298645,0.284078,0.270104\n",
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"70.000000,0.476658,0.443151,0.429436,0.414899,0.399618,0.383785,0.368032,0.351772,0.335030,0.318542\n",
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"75.000000,0.550568,0.512033,0.496350,0.479778,0.462414,0.444307,0.426075,0.407561,0.388596,0.369500\n",
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"80.000000,0.627228,0.583453,0.565725,0.547049,0.527537,0.507273,0.486477,0.465611,0.444349,0.422704\n",
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"85.000000,0.705886,0.656705,0.636874,0.616041,0.594344,0.571897,0.548783,0.525433,0.501810,0.477902\n",
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"90.000000,0.785094,0.730712,0.708789,0.685821,0.661969,0.637381,0.612132,0.586376,0.560384,0.534209\n",
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"95.000000,0.863065,0.803680,0.779839,0.754920,0.729110,0.702557,0.675366,0.647478,0.619241,0.590907\n",
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"100.000000,0.936071,0.872277,0.847042,0.820755,0.793551,0.765559,0.736891,0.707114,0.677066,0.646923\n",
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"105.000000,0.994083,0.928996,0.903986,0.877967,0.850934,0.822172,0.792494,0.762245,0.731543,0.700495\n",
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"110.000000,0.974676,0.921881,0.905331,0.888737,0.871094,0.851457,0.828909,0.802711,0.772336,0.737555\n",
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"\n"
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]
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]
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}
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}
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],
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],
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@@ -248,13 +269,13 @@
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" if header:\n",
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" if header:\n",
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" header = False\n",
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" header = False\n",
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" for _key in row:\n",
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" for _key in row:\n",
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" output += \":\" + _key\n",
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" output += \",\" + _key\n",
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" output += \",\"\n",
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" output += \"\\n\"\n",
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" # Entries\n",
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" # Entries\n",
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" output += key\n",
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" output += key\n",
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" for _key in row:\n",
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" for _key in row:\n",
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" output += \":\" + row[_key]\n",
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" output += \",\" + row[_key]\n",
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" output += \",\"\n",
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" output += \"\\n\"\n",
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"\n",
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"\n",
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"print(output)"
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"print(output)"
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]
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]
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@@ -0,0 +1,189 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "05459b8b",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "dfd3d298",
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"metadata": {},
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"outputs": [],
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"source": [
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"machs = [0,0.25,0.39,0.49,0.5,0.67,0.74,0.8,0.82,0.85]\n",
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"scalars = {\n",
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"0: [0,0,0,0,0,0,0,0,0,0],\n",
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"20: [0.0554,0.0598,0.0598,0.0598,0.0205,0.0282,0.0404,0.0411,0.0224,0.0297],\n",
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"25: [0.0748,0.0704,0.0704,0.1304,0.1291,0.1235,0.1278,0.1262,0.1291,0.0393],\n",
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"30: [0.0865,0.0821,0.0821,0.0335,0.0547,0.0847,0.0847,0.1039,0.1039,0.1039],\n",
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"35: [0.0964,0.0963,0.0963,0.0425,0.0601,0.0901,0.0901,0.1053,0.1053,0.1053],\n",
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"40: [0.1312,0.1134,0.1134,0.1007,0.092,0.102,0.102,0.1156,0.1161,0.1176],\n",
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"45: [0.163,0.1278,0.1278,0.13,0.3795,0.4095,0.4095,0.4235,0.4235,0.4235],\n",
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"50: [0.1816,0.1448,0.1448,0.1518,0.3853,0.4153,0.4153,0.4389,0.4389,0.4389],\n",
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"55: [0.2388,0.1711,0.1632,0.1715,0.3906,0.4206,0.4206,0.442,0.442,0.442],\n",
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"60: [0.2726,0.2079,0.1902,0.2076,0.3943,0.4243,0.4243,0.446,0.446,0.446],\n",
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"65: [0.3294,0.2532,0.2336,0.2367,0.4002,0.4302,0.4302,0.4542,0.4542,0.4542],\n",
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"70: [0.3807,0.3116,0.2786,0.2768,0.409,0.439,0.439,0.4642,0.4642,0.4642],\n",
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"75: [0.4477,0.3938,0.3318,0.3282,0.4274,0.4574,0.4574,0.4705,0.4703,0.4706],\n",
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"80: [0.5395,0.4915,0.4124,0.4138,0.4321,0.4621,0.4621,0.484,0.4813,0.4805],\n",
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"85: [0.6524,0.6349,0.5626,0.5072,0.5044,0.5355,0.5309,0.5785,0.5275,0.5356],\n",
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"90: [0.7545,0.7735,0.6998,0.61,0.61,0.6173,0.6574,0.6438,0.5644,0.5897],\n",
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"95: [0.8364,0.8395,0.7080,0.6900,0.7010,0.7296,0.8207,0.8473,0.6822,0.7282],\n",
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"103.5: [0.9779,0.9811,0.7157,0.7212,0.744,0.7453,0.8651,0.9026,0.9209,0.9312],\n",
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"110: [0.9853,1.0945,0.7775,0.83,0.85,0.8257,0.8749,0.9122,0.9322,0.9317],\n",
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"120: [0.857,0.9826,0.7877,0.84,0.88,0.8339,0.8818,0.9131,0.9473,0.9404],\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "9092a3d5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
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"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
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"image/png": 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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
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|
{
|
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"data": {
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truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"image/png": "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 truncated
|
||||||
|
"text/plain": [
|
||||||
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "display_data"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"x = scalars.keys()\n",
|
||||||
|
"\n",
|
||||||
|
"for i in range(len(machs)):\n",
|
||||||
|
" mach = machs[i]\n",
|
||||||
|
" _scalars = []\n",
|
||||||
|
" for key in scalars:\n",
|
||||||
|
" _scalars.append(scalars[key][i])\n",
|
||||||
|
" \n",
|
||||||
|
" plt.plot(x, _scalars)\n",
|
||||||
|
" plt.title(f\"Mach {mach}\")\n",
|
||||||
|
" plt.show()"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.11.9"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
Reference in new issue
Block a user