speed_lookuptable_fastをグラフ描画してみる
=#from pylab import * import matplotlib.pyplot as plt slow = [ [ 62500, 12500], [ 50000, 8334], [ 41666, 5952], [ 35714, 4464], [ 31250, 3473], [ 27777, 2777], [ 25000, 2273], [ 22727, 1894], [ 20833, 1603], [ 19230, 1373], [ 17857, 1191], [ 16666, 1041], [ 15625, 920], [ 14705, 817], [ 13888, 731], [ 13157, 657], [ 12500, 596], [ 11904, 541], [ 11363, 494], [ 10869, 453], [ 10416, 416], [ 10000, 385], [ 9615, 356], [ 9259, 331], [ 8928, 308], [ 8620, 287], [ 8333, 269], [ 8064, 252], [ 7812, 237], [ 7575, 223], [ 7352, 210], [ 7142, 198], [ 6944, 188], [ 6756, 178], [ 6578, 168], [ 6410, 160], [ 6250, 153], [ 6097, 145], [ 5952, 139], [ 5813, 132], [ 5681, 126], [ 5555, 121], [ 5434, 115], [ 5319, 111], [ 5208, 106], [ 5102, 102], [ 5000, 99], [ 4901, 94], [ 4807, 91], [ 4716, 87], [ 4629, 84], [ 4545, 81], [ 4464, 79], [ 4385, 75], [ 4310, 73], [ 4237, 71], [ 4166, 68], [ 4098, 66], [ 4032, 64], [ 3968, 62], [ 3906, 60], [ 3846, 59], [ 3787, 56], [ 3731, 55], [ 3676, 53], [ 3623, 52], [ 3571, 50], [ 3521, 49], [ 3472, 48], [ 3424, 46], [ 3378, 45], [ 3333, 44], [ 3289, 43], [ 3246, 41], [ 3205, 41], [ 3164, 39], [ 3125, 39], [ 3086, 38], [ 3048, 36], [ 3012, 36], [ 2976, 35], [ 2941, 35], [ 2906, 33], [ 2873, 33], [ 2840, 32], [ 2808, 31], [ 2777, 30], [ 2747, 30], [ 2717, 29], [ 2688, 29], [ 2659, 28], [ 2631, 27], [ 2604, 27], [ 2577, 26], [ 2551, 26], [ 2525, 25], [ 2500, 25], [ 2475, 25], [ 2450, 23], [ 2427, 24], [ 2403, 23], [ 2380, 22], [ 2358, 22], [ 2336, 22], [ 2314, 21], [ 2293, 21], [ 2272, 20], [ 2252, 20], [ 2232, 20], [ 2212, 20], [ 2192, 19], [ 2173, 18], [ 2155, 19], [ 2136, 18], [ 2118, 18], [ 2100, 17], [ 2083, 17], [ 2066, 17], [ 2049, 17], [ 2032, 16], [ 2016, 16], [ 2000, 16], [ 1984, 16], [ 1968, 15], [ 1953, 16], [ 1937, 14], [ 1923, 15], [ 1908, 15], [ 1893, 14], [ 1879, 14], [ 1865, 14], [ 1851, 13], [ 1838, 14], [ 1824, 13], [ 1811, 13], [ 1798, 13], [ 1785, 12], [ 1773, 13], [ 1760, 12], [ 1748, 12], [ 1736, 12], [ 1724, 12], [ 1712, 12], [ 1700, 11], [ 1689, 12], [ 1677, 11], [ 1666, 11], [ 1655, 11], [ 1644, 11], [ 1633, 10], [ 1623, 11], [ 1612, 10], [ 1602, 10], [ 1592, 10], [ 1582, 10], [ 1572, 10], [ 1562, 10], [ 1552, 9], [ 1543, 10], [ 1533, 9], [ 1524, 9], [ 1515, 9], [ 1506, 9], [ 1497, 9], [ 1488, 9], [ 1479, 9], [ 1470, 9], [ 1461, 8], [ 1453, 8], [ 1445, 9], [ 1436, 8], [ 1428, 8], [ 1420, 8], [ 1412, 8], [ 1404, 8], [ 1396, 8], [ 1388, 7], [ 1381, 8], [ 1373, 7], [ 1366, 8], [ 1358, 7], [ 1351, 7], [ 1344, 8], [ 1336, 7], [ 1329, 7], [ 1322, 7], [ 1315, 7], [ 1308, 6], [ 1302, 7], [ 1295, 7], [ 1288, 6], [ 1282, 7], [ 1275, 6], [ 1269, 7], [ 1262, 6], [ 1256, 6], [ 1250, 7], [ 1243, 6], [ 1237, 6], [ 1231, 6], [ 1225, 6], [ 1219, 6], [ 1213, 6], [ 1207, 6], [ 1201, 5], [ 1196, 6], [ 1190, 6], [ 1184, 5], [ 1179, 6], [ 1173, 5], [ 1168, 6], [ 1162, 5], [ 1157, 5], [ 1152, 6], [ 1146, 5], [ 1141, 5], [ 1136, 5], [ 1131, 5], [ 1126, 5], [ 1121, 5], [ 1116, 5], [ 1111, 5], [ 1106, 5], [ 1101, 5], [ 1096, 5], [ 1091, 5], [ 1086, 4], [ 1082, 5], [ 1077, 5], [ 1072, 4], [ 1068, 5], [ 1063, 4], [ 1059, 5], [ 1054, 4], [ 1050, 4], [ 1046, 5], [ 1041, 4], [ 1037, 4], [ 1033, 5], [ 1028, 4], [ 1024, 4], [ 1020, 4], [ 1016, 4], [ 1012, 4], [ 1008, 4], [ 1004, 4], [ 1000, 4], [ 996, 4], [ 992, 4], [ 988, 4], [ 984, 4], [ 980, 4], [ 976, 4], [ 972, 4], [ 968, 3], [ 965, 3]] fast= [ [ 62500, 55556], [ 6944, 3268], [ 3676, 1176], [ 2500, 607], [ 1893, 369], [ 1524, 249], [ 1275, 179], [ 1096, 135], [ 961, 105], [ 856, 85], [ 771, 69], [ 702, 58], [ 644, 49], [ 595, 42], [ 553, 37], [ 516, 32], [ 484, 28], [ 456, 25], [ 431, 23], [ 408, 20], [ 388, 19], [ 369, 16], [ 353, 16], [ 337, 14], [ 323, 13], [ 310, 11], [ 299, 11], [ 288, 11], [ 277, 9], [ 268, 9], [ 259, 8], [ 251, 8], [ 243, 8], [ 235, 7], [ 228, 6], [ 222, 6], [ 216, 6], [ 210, 6], [ 204, 5], [ 199, 5], [ 194, 5], [ 189, 4], [ 185, 4], [ 181, 4], [ 177, 4], [ 173, 4], [ 169, 4], [ 165, 3], [ 162, 3], [ 159, 4], [ 155, 3], [ 152, 3], [ 149, 2], [ 147, 3], [ 144, 3], [ 141, 2], [ 139, 3], [ 136, 2], [ 134, 2], [ 132, 3], [ 129, 2], [ 127, 2], [ 125, 2], [ 123, 2], [ 121, 2], [ 119, 1], [ 118, 2], [ 116, 2], [ 114, 1], [ 113, 2], [ 111, 2], [ 109, 1], [ 108, 2], [ 106, 1], [ 105, 2], [ 103, 1], [ 102, 1], [ 101, 1], [ 100, 2], [ 98, 1], [ 97, 1], [ 96, 1], [ 95, 2], [ 93, 1], [ 92, 1], [ 91, 1], [ 90, 1], [ 89, 1], [ 88, 1], [ 87, 1], [ 86, 1], [ 85, 1], [ 84, 1], [ 83, 0], [ 83, 1], [ 82, 1], [ 81, 1], [ 80, 1], [ 79, 1], [ 78, 0], [ 78, 1], [ 77, 1], [ 76, 1], [ 75, 0], [ 75, 1], [ 74, 1], [ 73, 1], [ 72, 0], [ 72, 1], [ 71, 1], [ 70, 0], [ 70, 1], [ 69, 0], [ 69, 1], [ 68, 1], [ 67, 0], [ 67, 1], [ 66, 0], [ 66, 1], [ 65, 0], [ 65, 1], [ 64, 1], [ 63, 0], [ 63, 1], [ 62, 0], [ 62, 1], [ 61, 0], [ 61, 1], [ 60, 0], [ 60, 0], [ 60, 1], [ 59, 0], [ 59, 1], [ 58, 0], [ 58, 1], [ 57, 0], [ 57, 1], [ 56, 0], [ 56, 0], [ 56, 1], [ 55, 0], [ 55, 1], [ 54, 0], [ 54, 0], [ 54, 1], [ 53, 0], [ 53, 0], [ 53, 1], [ 52, 0], [ 52, 0], [ 52, 1], [ 51, 0], [ 51, 0], [ 51, 1], [ 50, 0], [ 50, 0], [ 50, 1], [ 49, 0], [ 49, 0], [ 49, 1], [ 48, 0], [ 48, 0], [ 48, 1], [ 47, 0], [ 47, 0], [ 47, 0], [ 47, 1], [ 46, 0], [ 46, 0], [ 46, 1], [ 45, 0], [ 45, 0], [ 45, 0], [ 45, 1], [ 44, 0], [ 44, 0], [ 44, 0], [ 44, 1], [ 43, 0], [ 43, 0], [ 43, 0], [ 43, 1], [ 42, 0], [ 42, 0], [ 42, 0], [ 42, 1], [ 41, 0], [ 41, 0], [ 41, 0], [ 41, 0], [ 41, 1], [ 40, 0], [ 40, 0], [ 40, 0], [ 40, 0], [ 40, 1], [ 39, 0], [ 39, 0], [ 39, 0], [ 39, 0], [ 39, 1], [ 38, 0], [ 38, 0], [ 38, 0], [ 38, 0], [ 38, 1], [ 37, 0], [ 37, 0], [ 37, 0], [ 37, 0], [ 37, 0], [ 37, 1], [ 36, 0], [ 36, 0], [ 36, 0], [ 36, 0], [ 36, 1], [ 35, 0], [ 35, 0], [ 35, 0], [ 35, 0], [ 35, 0], [ 35, 0], [ 35, 1], [ 34, 0], [ 34, 0], [ 34, 0], [ 34, 0], [ 34, 0], [ 34, 1], [ 33, 0], [ 33, 0], [ 33, 0], [ 33, 0], [ 33, 0], [ 33, 0], [ 33, 1], [ 32, 0], [ 32, 0], [ 32, 0], [ 32, 0], [ 32, 0], [ 32, 0], [ 32, 0], [ 32, 1], [ 31, 0], [ 31, 0], [ 31, 0], [ 31, 0], [ 31, 0], [ 31, 0], [ 31, 1], [ 30, 0], [ 30, 0], [ 30, 0], [ 30, 0]]; #print(fast) c = 0 cs = [] xs = [] ys = [] for f in fast: cs.append(c) xs.append(f[0]) ys.append(f[1]) c = c+1 fig, ax1 = plt.subplots() p1, = ax1.plot(cs,xs,'b-') ax2 = ax1.twinx() p2, = ax2.plot(cs,ys,'r-') ax1.set_yscale("log") ax2.set_yscale("log") plt.title("Speed lookup table[FAST]") plt.legend([p1,p2],["timer interval","gain"]) c = 0 cs = [] xs = [] ys = [] for f in slow: cs.append(c) xs.append(f[0]) ys.append(f[1]) c = c+1 fig, ax1 = plt.subplots() p1, = ax1.plot(cs,xs,'b-') ax2 = ax1.twinx() p2, = ax2.plot(cs,ys,'r-') ax1.set_yscale("log") ax2.set_yscale("log") plt.title("Speed lookup table[SLOW]") plt.legend([p1,p2],["timer interval","gain"]) plt.show()
なぜかFastではGainが振動している
