1 #coding=utf-8

2 __author__ = 'hillfree'

3

4 importrandom5

6

7 deftestRand():8

9 #在[a, b]之間產生隨機整數 random.randint(a, b)

10 for i in range(5):11 ret = random.randint(100, 999)12 print("random.randint(100, 999) = {0}".format(ret,))13

14 #在[a, b]之間產生隨機浮點數 random.uniform(a, b)

15 for i in range(5):16 ret = random.uniform(1.0, 100.0)17 print("random.uniform(1.0, 100.0) = {0}".format(ret,))18

19 #在[0.0, 1.0)之間產生隨機浮點數 random.random()

20 for i in range(5):21 ret =random.random()22 print("random.random() = {0}".format(ret,))23

24 #在樣本population中隨機選擇k個 random.sample(population, k)

25 population = {"Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"}26 for i in range(5):27 ret = random.sample(population, 3)28 print("random.sample(population, 3) = {0}".format(ret,))29

30 #在序列seq中隨機選擇1個 random.choice(seq)

31 seq = ("to", "be", "or", "not", 'tobe', 'is', 'a', 'question')32 for i in range(5):33 ret =random.choice(seq)34 print("random.choice(seq) = {0}".format(ret,))35

36 #從序列中隨機獲取指定長度的片斷。不修改原有序列。

37 #random.sample(sequence, k)

38 sentence = "to be or not to be is a question"

39 for i in range(5):40 ret = random.sample(sentence, 5)41 print("random.sample(sentence, 5) = {0}".format(ret,))42

43 #三角分布的隨機數 random.triangular(low, high, mode)

44 for i in range(5):45 ret = random.triangular(0, 100, 10)46 print("random.triangular(0, 100, 10) = {0}".format(ret,))47

48 #高斯分布的隨機數（稍快） random.gauss(mu, sigma)

49 for i in range(5):50 ret = random.gauss(0, 1)51 print("random.gauss(0, 1) = {0}".format(ret,))52

53 #beta β分布的隨機數 random.betavariate(alpha, beta)

54

55 #指數分布的隨機數 random.expovariate(lambd)

56

57 #伽馬分布的隨機數 random.gammavariate(alpha, beta)

58

59 #對數正態分布的隨機數 random.lognormvariate(mu, sigma)

60

61 #正態分布的隨機數 random.normalvariate(mu, sigma)

62

63 #馮米塞斯分布的隨機數 random.vonmisesvariate(mu, kappa)

64

65 #帕累托分布的隨機數 random.paretovariate(alpha)

66

67 #韋伯分布的隨機數 random.weibullvariate(alpha, beta)

68

69

70 if __name__ == "__main__":71 testRand()

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