随机种子设置
随机种子设置一般通过random模块中的seed()方法设置
import numpy as np
np.random.seed(2)
print(np.random.randint(0,10,5))
print(np.random.randint(0,10,5))
print(np.random.randint(0,10,5))
print('\n\n')
np.random.seed(2)
print(np.random.randint(0,10,5))
print(np.random.randint(0,10,5))
print(np.random.randint(0,10,5))
# [8 8 6 2 8]
# [7 2 1 5 4]
# [4 5 7 3 6]
#
#
#
# [8 8 6 2 8]
# [7 2 1 5 4]
# [4 5 7 3 6]可以看到随机种子的设置会影响接下来一系列的随机数生成，而不是单次影响
随机种子获取
随机种子一般使用random模块中的get_state()方法
import numpy as np
np.random.seed(2)
print(np.random.get_state())
# ('MT19937', array([ 2, 3624866507, 846688490, 2733819477, 1447939927,
# 2751582963, 523383323, 3998955438, 1552125001, 468770929,
# 3174827423, 721042428, 3535242872, 3938247060, 2422198177,
# 2908759646, 3086638684, 3470362919, 4130561862, 1461945164,
# 1969357429, 3290893273, 2478135064, 2883471193, 442423807,
# 3020847284, 3712550376, 2942769362, 3450083884, 2131393448,
# 1760508619, 1079921617, 2926983472, 3248378587, 2176075610,
# 3115728347, 149850049, 1325979722, 2018146493, 3978444371,
# 1443587512, 3757974310, 4061506243, 3324845547, 103150772,
# 1574559537, 4189437470, 909936288, 4165778768, 954014960,
# 3460881122, 1208468472, 4206858865, 2349975855, 1139307511,
# 612263493, 4068230769, 836291891, 3502129241, 3858075069,
# 720214578, 1721800695, 1583913548, 3992130976, 1391510671,
# 3658451527, 3506172182, 3137165964, 3175921738, 668679341,
# 2981266823, 1736825536, 3777468269, 2427100335, 2783143307,
# 3066847320, 413674958, 3816771731, 3611810078, 2387881408,
# 1275125722, 4146169016, 4116607257, 1753188757, 2919070648,
# 642669239, 3128342921, 3505362734, 3299392025, 4041168539,
# 194806354, 2126204085, 1155372896, 3507921570, 4183642851,
# 390828735, 965876923, 2502060328, 3640719348, 500564950,
# 2958494162, 726085493, 3551417999, 1038946723, 2355966135,
# 2266502354, 2169734778, 103957955, 2239750491, 3497757066,
# 3960902779, 3919891399, 2708228292, 672443535, 3966344157,
# 3039186185, 3064219851, 3275966658, 1958870427, 3363207225,
# 1051359578, 1034488571, 4218333313, 3731099077, 826434970,
# 3066527807, 503397775, 2203570410, 1724486664, 1174354190,
# 379816557, 949285508, 1512592024, 4098586594, 4162106699,
# 1244073455, 4049526126, 149401994, 2486298108, 2645994433,
# 4048691067, 2760221413, 1429726385, 155150847, 263670059,
# 1839522184, 1971211423, 2988886249, 2906654795, 2763085410,
# 3184555126, 2428241499, 1912808117, 2344289693, 1914982229,
# 303251647, 3363291895, 1933606625, 4101500670, 3877744496,
# 2270413823, 1339668594, 2478854401, 2974781906, 1176295348,
# 1522792462, 3413763473, 1643164993, 1773585128, 600348566,
# 3831305432, 3739184658, 2927920737, 921239740, 2960516826,
# 653634535, 4282151379, 3899733953, 2848969276, 506667305,
# 2064254689, 2562889493, 1027730377, 2964297732, 1573662998,
# 1400221132, 604719003, 2600612834, 1086412828, 2839169326,
# 2237360922, 2533955895, 2173128617, 3585208888, 225649929,
# 3162402384, 2737400094, 945452241, 32174139, 4057815822,
# 3681149417, 538074139, 1665518193, 1290718971, 1204908910,
# 1752298136, 1576507435, 1950581601, 395392432, 3117768513,
# 1610510657, 582872851, 3882188371, 3486754405, 3612818708,
# 79522282, 3654222890, 554014214, 2795988792, 2699019453,
# 768333623, 1041848464, 1012203950, 3207710853, 2191875363,
# 2180736998, 3657761238, 2596779756, 1513261770, 298083836,
# 921966930, 2568544321, 480859735, 4268007484, 757985477,
# 442264484, 4253891744, 178333756, 3653303450, 2759887436,
# 1625051062, 2140496676, 2583817099, 109920000, 3849378804,
# 587135080, 3965692414, 3584128712, 2496889359, 4066788634,
# 3439502551, 1041005727, 2784445111, 4231212902, 3427909847,
# 306088099, 708846671, 1357224748, 81546947, 1013346034,
# 3328657534, 1140162390, 1617022297, 451026111, 4191194979,
# 2544038377, 3358406081, 2078869653, 1150523248, 3663542690,
# 2315642515, 380539204, 125351140, 2913559301, 3540242901,
# 1353142401, 2409055124, 3136483651, 3384539323, 2622200239,
# 1322006361, 60288721, 1836454543, 3378860321, 1028797830,
# 784192763, 3200015141, 4280866434, 3480136453, 1163505791,
# 1464340696, 39962560, 3132723172, 4035042531, 3968861574,
# 2859031456, 1997068818, 2914465192, 3299223356, 658977798,
# 2383986058, 3689451477, 1855211164, 613736992, 3399505872,
# 721916528, 1214953314, 1978881602, 1644160163, 868083487,
# 1886701425, 2430443623, 3238614545, 440178771, 4122051833,
# 168378845, 4075897453, 784209059, 2122211469, 1029375099,
# 3987445959, 1993353877, 3774218662, 259191900, 463709584,
# 3256509205, 2970214132, 32546389, 3103585745, 404744328,
# 1405060850, 3194833450, 2229644052, 1287997179, 1168559088,
# 4253642852, 456227059, 115590192, 959060034, 2523194717,
# 2921813711, 2660496694, 1661244122, 3949077694, 546088169,
# 3927753286, 758289299, 4076004698, 2818580089, 297327332,
# 391012690, 1698646201, 1827285496, 2057818526, 45927453,
# 4001566164, 1358792247, 340974259, 3667858693, 2116911813,
# 1716223164, 3870579962, 565768359, 1330729550, 1682620823,
# 640788379, 2642810005, 722202626, 3342124090, 1046670574,
# 1884608856, 926507664, 4048745540, 1013276792, 1474775246,
# 3319759394, 683213181, 3644095690, 4261137863, 1171395535,
# 1797066690, 2184942700, 3136450276, 2403915837, 19925339,
# 3530712424, 693454777, 4095102592, 2791708211, 2407398362,
# 191034814, 1405068157, 1635573108, 3002727858, 2503231482,
# 1877745251, 2971168822, 4095482385, 2810703016, 116218529,
# 663481365, 3424543450, 181543471, 2088477982, 3758013903,
# 4087811857, 2306315696, 1797804753, 3739876776, 1052678416,
# 2961962218, 530565411, 1084430187, 600176751, 2920770665,
# 1395657430, 2275563379, 1945041462, 2897291349, 3202120438,
# 2541033448, 3395594999, 1440745450, 554493022, 3604900030,
# 1693940026, 2048944369, 2776750171, 1064369609, 1004778234,
# 3631442000, 111252846, 2495206422, 1549492629, 1917957398,
# 2076623558, 2065193271, 3503495683, 305349558, 1064312453,
# 4180949297, 3969143923, 1187332586, 1837549170, 1199888411,
# 801451519, 878812761, 3366984668, 1132353467, 467740707,
# 1531220625, 1986847891, 3611709790, 97771638, 2599466580,
# 921040821, 3695024433, 598160515, 1067897977, 1070962312,
# 4203425140, 3330187456, 3176319421, 400150826, 1778712930,
# 1332512992, 356084631, 3210494822, 3878886472, 4217065068,
# 17324705, 1194519644, 169871241, 594168806, 4141353368,
# 2812067586, 1007574236, 3143655593, 1231988821, 990469891,
# 731912463, 3875269580, 3107901837, 3268884046, 51553093,
# 3265091870, 2827988823, 215460720, 1810208024, 235746758,
# 2640785160, 3542608605, 3212999042, 3019862381, 2776967609,
# 2566622134, 3136123892, 3329714175, 1537598558, 1111683694,
# 1831866047, 1527480555, 1374492744, 2861082564, 2283612438,
# 3725126365, 1934064016, 976785712, 1985214956, 1901883774,
# 3769548825, 1651881537, 3535350080, 2666996848, 287335676,
# 716617071, 1798766031, 2468831819, 2653018579, 2711800444,
# 2500416446, 1688315701, 3098398094, 2389050951, 259942469,
# 3096384070, 2434046690, 2292847, 2179858651, 860453038,
# 1112784056, 806844432, 2431840356, 3444142163, 491004326,
# 4117569173, 1468356934, 1230256668, 3558831243, 360563651,
# 1723242763, 2771827983, 555715903, 1690465018, 3642536487,
# 312708693, 2718279339, 3439997904, 3381092195, 269681413,
# 3040927775, 2538795672, 2982421226, 3983011761, 4012234084,
# 3807531726, 4152713741, 2675650483, 3522595843, 2603695663,
# 1139711729, 415442657, 821281271, 1153021862, 4196324887,
# 2034707481, 1146437550, 645908802, 3958160194, 1331866590,
# 3875612725, 2742273417, 2083607827, 1367028823, 3405229612,
# 926409162, 359084274, 428200891, 1580768777, 723559275,
# 390184571, 1966930892, 1114312487, 4049752645, 2713447910,
# 313516349, 1670939739, 2155242445, 415771127, 1060028352,
# 810510606, 1441723093, 3674555380, 1244922308, 1138369035,
# 2811021893, 4005351255, 1455276665, 3073897390, 1949184307,
# 4276825362, 3579699982, 501713787, 1784405218, 3987251947,
# 1460563941, 1372531538, 1479574814, 2050694811, 2867429155,
# 3373192039, 968223959, 1315340855, 563759027, 1277302533,
# 2564831995, 4174743461, 794844391, 1091389581, 3521416615,
# 779397152, 3672078093, 440563956, 765480627], dtype=uint32), 624, 0, 0.0)这里返回的元组中的第二个参数是一个数组，只需获取数组的第一个元素就为随机种子
import numpy as np
np.random.seed(2)
print(np.random.get_state()[1][0])
# 2
