因网上没有NTC 10K 3380的阻值温度对照数组，所以分享各种格式，以供使用
直接根据阻值对照表的数组
data = [202.2693, 191.0637, 180.5546, 170.6944, 161.4387, 152.7468, 144.5807, 136.9052, 129.6879, 122.8985, 116.5089, 110.4932, 104.8272, 99.4883, 94.4558, 89.7101, 85.2332, 81.0082, 77.0194, 73.2523, 69.6931, 66.3291, 63.1485, 60.1402, 57.2939, 54.5998, 52.049, 49.633, 47.3439, 45.1743, 43.1172, 41.1663, 39.3153, 37.5587, 35.891, 34.3074, 32.8029, 31.3734, 30.0145, 28.7225, 27.4936, 26.3245, 25.2119, 24.1527, 23.1442, 22.1835, 21.2682, 20.3959, 19.5644, 18.7714, 18.0151, 17.2935, 16.6048, 15.9475, 15.3198, 14.7203, 14.1475, 13.6003, 13.0772, 12.5771, 12.0988, 11.6413, 11.2037, 10.7848 ,10.3839, 9.6324, 9.2802, 8.9428, 8.6195, 8.3096, 8.0124, 7.7275, 7.4541, 7.1919, 6.9403, 6.6987, 6.4669, 6.2442, 6.0304, 5.825, 5.6276, 5.438, 5.2557, 5.0804, 4.9119, 4.7498, 4.5939, 4.4439, 4.2995, 4.1605, 4.0268, 3.898, 3.7739, 3.6544, 3.5393, 3.4284, 3.3215, 3.2185, 3.1191, 3.0234, 2.931, 2.8419, 2.7559, 2.6729, 2.5929, 2.5156, 2.441, 2.369, 2.2994, 2.2322, 2.1673, 2.1046, 2.044, 1.9854, 1.9288, 1.874, 1.8211, 1.7699, 1.7204, 1.6725, 1.6262, 1.5813, 1.5379, 1.4959, 1.4553, 1.4159, 1.3778, 1.3408, 1.3051, 1.2704, 1.2368, 1.2043, 1.1728, 1.1422, 1.1126, 1.0839, 1.056, 1.029, 1.0028, 0.9774, 0.9527, 0.9288, 0.9055, 0.883, 0.8611, 0.8399, 0.8193, 0.7992, 0.7798, 0.7609, 0.7425, 0.7247, 0.7074, 0.6906, 0.6742, 0.6583, 0.6429, 0.6278 ,0.6123 ,0.599]
乘1000之后的数组
new_data = [202269.3, 191063.7, 180554.6, 170694.4, 161438.7, 152746.8, 144580.7, 136905.2, 129687.9, 122898.5, 116508.9, 110493.2, 104827.2, 99488.3, 94455.8, 89710.1, 85233.2, 81008.2, 77019.4, 73252.3, 69693.1, 66329.1, 63148.5, 60140.2, 57293.9, 54599.8, 52049, 49633, 47343.9, 45174.3, 43117.2, 41166.3, 39315.3, 37558.7, 35891, 34307.4, 32802.9, 31373.4, 30014.5, 28722.5, 27493.6, 26324.5, 25211.9, 24152.7, 23144.2, 22183.5, 21268.2, 20395.9, 19564.4, 18771.4, 18015.1, 17293.5, 16604.8, 15947.5, 15319.8, 14720.3, 14147.5, 13600.3, 13077.2, 12577.1, 12098.8, 11641.3, 11203.7, 10784.8, 10383.9, 9632.4, 9280.2, 8942.8, 8619.5, 8309.6, 8012.4, 7727.5, 7454.1, 7191.9, 6940.3, 6698.7, 6466.9, 6244.2, 6030.4, 5825, 5627.6, 5438, 5255.7, 5080.4, 4911.9, 4749.8, 4593.9, 4443.9, 4299.5, 4160.5, 4026.8, 3898, 3773.9, 3654.4, 3539.3, 3428.4, 3321.5, 3218.5, 3119.1, 3023.4, 2931, 2841.9, 2755.9, 2672.9, 2592.9, 2515.6, 2441, 2369, 2299.4, 2232.2, 2167.3, 2104.6, 2044, 1985.4, 1928.8, 1874, 1821.1, 1769.9, 1720.4, 1672.5, 1626.2, 1581.3, 1537.9, 1495.9, 1455.3, 1415.9, 1377.8, 1340.8, 1305.1, 1270.4, 1236.8, 1204.3, 1172.8, 1142.2, 1112.6, 1083.9, 1056, 1029, 1002.8, 977.4, 952.7, 928.8, 905.5, 883, 861.1, 839.9, 819.3, 799.2, 779.8, 760.9, 742.5, 724.7, 707.4, 690.6, 674.2, 658.3, 642.9, 627.8, 612.3, 599]
乘1000去掉小数后 按10度一行整理的数组
data = g_rvTable[TABLE_SIZE] = { 202269, 191063, 180554, 170694, 161438, 152746, 144580, 136905, 129687, 122898, //-40~-31 116508, 110493, 104827, 99488, 94455, 89710, 85233, 81008, 77019, 73252, //-30~-21 69693, 66329, 63148, 60140, 57293, 54599, 52049, 49633, 47343, 45174, //-20~-11 43117, 41166, 39315, 37558, 35891, 34307, 32802, 31373, 30014, 28722, //-10~-1 27493, //0 26324, 25211, 24152, 23144, 22183, 21268, 20395, 19564, 18771, 18015, //1-10 17293, 16604, 15947, 15319, 14720, 14147, 13600, 13077, 12577, 12098, //11-20 11641, 11203, 10784, 10383, 10000, 9632, 9280, 8942, 8619, 8309, //21-30 8012, 7727, 7454, 7191, 6940, 6698, 6466, 6244, 6030, 5825, //31-40 5627, 5438, 5255, 5080, 4911, 4749, 4593, 4443, 4299, 4160, //41-50 4026, 3898, 3773, 3654, 3539, 3428, 3321, 3218, 3119, 3023, //51-60 2931, 2841, 2755, 2672, 2592, 2515, 2441, 2369, 2299, 2232, //61-70 2167, 2104, 2044, 1985, 1928, 1874, 1821, 1769, 1720, 1672, //71-80 1626, 1581, 1537, 1495, 1455, 1415, 1377, 1340, 1305, 1270, //81-90 1236, 1204, 1172, 1142, 1112, 1083, 1056, 1029, 1002, 977, //91-100 952, 928, 905, 883, 861, 839, 819, 799, 779, 760, //101-110 742, 724, 707, 690, 674, 658, 642, 627, 612, 599 //111-120 };