python怎样生成一个随机矩阵 python如何产生随机矩阵?

python\u600e\u6837\u751f\u6210\u4e00\u4e2a\u968f\u673a\u77e9\u9635

import random #\u5bfc\u5165\u968f\u673a\u6570\u6a21\u5757m=10n=10matrix = [[0 for i in range(m)] for i in range(n)] #\u5b9a\u4e49\u6570\u7ec4for row in range(0,m): for col in range(0,n): matrix[row].append(random.randint(0,101)) #\u8d4b\u503cfor row in range(0,m): print matrix[row]#\u6253\u5370
\u7ed3\u679c

numpy.random\u5305\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002numpy\u5305\u662fpython\u7684\u4e00\u79cd\u5f00\u6e90\u7684\u6570\u503c\u8ba1\u7b97\u6269\u5c55\u3002\u8fd9\u79cd\u5de5\u5177\u53ef\u7528\u6765\u5b58\u50a8\u548c\u5904\u7406\u5927\u578b\u77e9\u9635\uff0c\u6bd4python\u81ea\u8eab\u7684\u5d4c\u5957\u5217\u8868\u7ed3\u6784\u8981\u9ad8\u6548\u7684\u591a\uff0c\u540c\u65f6\u8be5\u7ed3\u6784\u4e5f\u53ef\u4ee5\u7528\u6765\u8868\u793a\u77e9\u9635\u3002
from
numpy
import
random
randarray
=
random.random(size=(2,4))
random\u51fd\u6570\u63a5\u6536\u9700\u8981\u751f\u6210\u968f\u673a\u77e9\u9635\u7684\u5f62\u72b6\u7684\u5143\u7ec4\u4f5c\u4e3a\u552f\u4e00\u53c2\u6570\u3002\u4e0a\u9762\u7684\u4ee3\u7801\u5c06\u4f1a\u8fd4\u56de\u4e00\u4e2a\u4e24\u884c\u56db\u5217\u7684\u968f\u673a\u77e9\u9635\uff0c\u968f\u673a\u6570\u7684\u503c\u4f4d\u4e8e0\u52301\u4e4b\u95f4\uff0c\u77e9\u9635\u662fnumpy.array\u7c7b\u578b\u3002\u9664\u4e86random\u51fd\u6570\u5916\uff0c\u8fd8\u6709\u751f\u6210\u6574\u6570\u968f\u673a\u77e9\u9635\u7684\u51fd\u6570randint\u7b49\u7b49\u3002

from numpy import random
randArray = random.random(size=(2,4))

#输出
#array([[0.93848018,0.42005976,0.81470729,0.98797783],[0.12242703,0.42756378,0.59705163,0.36619101]])


random函数接收需要生成随机矩阵的形状的元组作为唯一参数。上面的代码将会返回一个两行四列的随机矩阵,随机数的值位于0到1之间,矩阵是numpy.array类型。除了random函数外,还有生成整数随机矩阵的函数randint。


from numpy import random
random.randint(1,100,size=(3,3))

#输出
#array([[74,76,46],[90,16,8],[21,41,31]])


Python 编写程序:产生一个随机 3 位正整数,并将该整数的数字首尾互换输出,例如:157 互换后为 751。

import random
a,b,c=random.randint(1,9),random.randint(0,9),random.randint(1,9)
print a*100+b*10+c
print c*100+b*10+a



1.
第一步打开pycharm,新建一个py文件,输入from numpy import random,进行导入生成随机矩阵的库,如下图所示:
2.
第二步输入arr1 = random.random(size=(3,4)),进行生成一个3行4列的随机矩阵,如下图所示:
3.
第三步运行py文件之后,可以看到已经生成了一个3行4列的矩阵,如下图所示:
4.
第四步输入arr2=random.randint(1,20,size=(3,4)),生成一个1到20之内的整数矩阵,如下图所示:
5.
本页面非法爬取自百度经验
6.
第五步运行py文件之后,可以看到生成了一个3行4列的1到20之内的随机整数矩阵,

  • python鎬庢牱鐢熸垚涓涓殢鏈虹煩闃
    绛旓細涓婇潰鐨勪唬鐮佸皢浼氳繑鍥涓涓涓よ鍥涘垪鐨闅忔満鐭闃碉紝闅忔満鏁扮殑鍊间綅浜0鍒1涔嬮棿锛岀煩闃垫槸numpy.array绫诲瀷銆傞櫎浜唕andom鍑芥暟澶栵紝杩樻湁鐢熸垚鏁存暟闅忔満鐭╅樀鐨勫嚱鏁皉andint銆俧rom numpy import randomrandom.randint(1,100,size=(3,3))#杈撳嚭#array([[74,76,46],[90,16,8],[21,41,31]])...
  • python鎬庢牱鐢熸垚涓涓殢鏈虹煩闃
    绛旓細import random #瀵煎叆闅忔満鏁版ā鍧梞=10n=10matrix = [[0 for i in range(m)] for i in range(n)] #瀹氫箟鏁扮粍for row in range(0,m): for col in range(0,n): matrix[row].append(random.randint(0,101)) #璧嬪糵or row in range(0,m): print matrix[row]#鎵撳嵃 缁撴灉 ...
  • 鈥python鈥鎬庢牱鐢熸垚涓涓殢鏈虹煩闃?
    绛旓細Python 缂栧啓绋嬪簭锛氫骇鐢熶竴涓殢鏈 3 浣嶆鏁存暟锛屽苟灏嗚鏁存暟鐨勬暟瀛楅灏句簰鎹㈣緭鍑锛屼緥濡傦細157 浜掓崲鍚庝负 751銆俰mport randoma,b,c=random.randint(1,9),random.randint(0,9),random.randint(1,9)print a*100+b*10+cprint c*100+b*10+a
  • 鎬庝箞鐢python鐢诲嚭闅忔満涓暟,闅忔満楂樺害,闅忔満瀹藉害鑰屽張涓嶈鐩栫殑鐭╁舰?_鐧惧害...
    绛旓細random.sample(list, n)鍗虫槸浠巐ist涓闅忔満閫夊彇n涓笉鍚岀殑鍏冪礌銆傛ゼ涓诲彲浠ヨ瘯璇曚笅闈㈢殑浠g爜銆俰mport random for i in range(4):print random.sample([1, 2, 3, 4, 5, 6, 7, 8], 8)for i in range(4):print random.sample(range(10), 10)for i in range(4):print random.sample(['Mon...
  • 濡備綍鍒╃敤Python鐢熸垚琛屽垪鍧囦笉閲嶅鐨闅忔満鐭闃
    绛旓細鍒楁暟鍋囧涔熸槸5 涔熷氨鏄5*5鐨勭煩闃 鐒跺悗璁5涓暟缁勯兘闅忔満鐢熸垚 鐒跺悗鎺掑簭 濡傛灉涓や釜涓磋繎鏁版嵁鐩稿悓鎴栫浉杩 杩欎袱涓暟鎹氨鏄尐鐫鐨勫ソ鍍忚繖鏍凤細0锛歿1,2,3,4,5} 1锛歿2,3,4,5,1} 2锛歿2,3,5,1,4} 3锛歿2,3,5,1,4} 4锛歿2,3,5,4,1} 閭d箞鐢熸垚瀹屼箣鍚庡氨鍙互缁忚繃涓娆¢亶鍘 鎶婇偦杩戜袱涓繘琛屾瘮杈...
  • 鎬庝箞鐢python鐢熸垚闅忔満鏁?
    绛旓細1銆佹墦寮鎴戜滑python鐨ide 2銆佸湪鎵撳紑鐨剆hell涓紝棣栧厛闇瑕佸鍏andom搴擄紝鎵嶅彲浠ヤ娇鐢╮andom涓殑鏂规硶锛岄鍏堜粙缁嶄笅搴旂敤鏈澶氱殑鍑芥暟锛宺andom.random锛堬級锛屽彲浠鐢熸垚涓涓0鍒1鐨闅忔満绗︾偣鏁 3銆乺andom.uniform锛坅,b锛夊嚱鏁帮紝鐢熸垚鎸囧畾鑼冨洿鍐呯殑闅忔満绗︾偣鏁帮紝濡備笅鍥 4銆乺andom.randint锛坅,b锛夊嚱鏁帮紝鐢熸垚涓涓寚瀹氳寖鍥村唴鐨...
  • 濡備綍鐢python numpy浜х敓涓涓姝f佸垎甯闅忔満鏁扮殑鍚戦噺鎴栬呯煩闃
    绛旓細import numpy as npx = np.random.randn(4, 5) # 鐢熸垚涓涓4*5鐨勬湇浠庢鎬佸垎甯(0, 1)鐨勬暟缁刾rint(x)缁撴灉:array([[ 1.49880806, 0.49802583, -0.73570234, 0.6838595 , -1.07146133], [-0.80834618, 0.28833047, 0.6492072 , -1.23454671, -0.42839883], [ 0.7593624...
  • 绛旈+杈撳嚭涓涓4琛5鍒楃殑鐭╅樀+姣忎釜鍏冪礌閮芥槸涓涓殢鏈轰骇鐢鐨勫皬鍐欏瓧姣...
    绛旓細鍏蜂綋瀹炵幇鏂规硶濡備笅锛歚``pythonimport random# 瀹氫箟鐭╅樀鐨勮鏁板拰鍒楁暟rows = 4cols = 5# 鐢熸垚闅忔満灏忓啓瀛楁瘝鐭╅樀matrix = [[random.choice('abcdefghijklmnopqrstuvwxyz') for i in range(cols)] for j in range(rows)]# 杈撳嚭鐭╅樀for i in range(rows): for j in range(cols)...
  • python鍩虹2:闅忔満鏁鐢熸垚鈥攔andom妯″潡銆乶umpy涓殑random鍑芥暟
    绛旓細鍦Python涓鍙互鐢ㄤ簬闅忔満鏁鐢熸垚鐨勬湁涓ょ涓昏閫斿緞锛屼竴鏄痳andom妯″潡锛屽彟涓涓鏄痭umpy搴撲腑random鍑芥暟銆傚湪鎴戜滑鏃ュ父浣跨敤涓紝濡傛灉鏄负浜嗗緱鍒伴殢鏈虹殑鍗曚釜鏁帮紝澶氳冭檻random妯″潡锛涘鏋滄槸涓轰簡寰楀埌闅忔満灏忔暟鎴栬呮暣鏁扮殑鐭╅樀锛屽氨澶氳冭檻numpy涓殑random鍑芥暟,褰撶劧numpy涔熷彲浠ョ殑鍒伴殢鏈虹殑鍗曚釜鏁 涓銆乺andom妯″潡 浜屻乶umpy搴撲腑ran...
  • python涓殢鏈虹敓鎴10-99鐨勬暣鏁,鏋勬垚涓涓5脳5鐨勭煩闃,鏄剧ず瀹屾暣鐭╅樀,骞跺皢...
    绛旓細浣跨敤numpy 绠鍗曠殑寰 import numpy as npimport randombefore = np.array([[random.randint(10, 99) for i in range(5)] for j in range(5)])result = before.Tprint(result)
  • 本站交流只代表网友个人观点,与本站立场无关
    欢迎反馈与建议,请联系电邮
    2024© 车视网