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Python随机数random模块详解及实例

高洛峰
高洛峰原创
2017-03-28 15:03:202528浏览

本文给大家分享的是Python随机数random模块的几个常用的方法,非常的简单,小伙伴们喜欢的话,后续继续深入探讨

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random 模块是Python自带的模块,除了生成最简单的随机数以外,还有很多功能。

random.random()

用来生成一个0~1之间的随机浮点数,范围[0,10

>>> import random
>>> random.random()
0.5038461831828231

random.uniform(a,b)

返回a,b之间的随机浮点数,范围[a,b]或[a,b),取决于四舍五入,a不一定要比b小。

>>> random.uniform(50,100)
76.81733455677832
>>> random.uniform(100,50)
52.98730193316595

random.randint(a,b)

返回a,b之间的整数,范围[a,b],注意:传入参数必须是整数,a一定要比b小

>>> random.randint(50,100)
54
>>> random.randint(100,50)

Traceback (most recent call last):
File "", line 1, in <module>
 random.randint(100,50)
File "C:\Python27\lib\random.py", line 242, in randint
 return self.randrange(a, b+1)
File "C:\Python27\lib\random.py", line 218, in randrange
 raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
ValueError: empty range for randrange() (100,51, -49)
>>> random.randint(50.5,100.6)

Traceback (most recent call last):
File "", line 1, in
 random.randint(50.5,100.6)
File "C:\Python27\lib\random.py", line 242, in randint
 return self.randrange(a, b+1)
File "C:\Python27\lib\random.py", line 187, in randrange
 raise ValueError, "non-integer arg 1 for randrange()"
ValueError: non-integer arg 1 for randrange()

random.randrang([start], stop[, step])

返回有个区间内的整数,可以设置step。只能传入整数,random.randrange(10, 100, 2),结果相当于从[10, 12, 14, 16, … 96, 98]序列中获取一个随机数。

>>> random.randrange(100)
58
>>> random.randrange(10,100,2)
54

random.choice(sequence)

从序列中随机获取一个元素,list, tuple, 字符串都属于sequence。这里的sequence 需要是有序类型。random.randrange(10,100,2)在结果上与 random.choice(range(10,100,2) 等效。

>>> random.choice(("stone","scissors","paper"))
'stone'
>>> random.choice(["stone","scissors","paper"])
'scissors'
>>> random.choice("Random")
'm'

random.shuffle(x[,random])

用于将列表中的元素打乱,俗称为洗牌。会修改原有序列。

>>> poker = ["A","2","3","4","5","6","7","8","9","10","J","Q","K"]
>>> random.shuffle(poker)
>>> poker
['4', '10', '8', '3', 'J', '6', '2', '7', '9', 'Q', '5', 'K', 'A']

random.sample(sequence,k)

从指定序列中随机获取k个元素作为一个片段返回,sample函数不会修改原有序列。

>>> poker = ["A","2","3","4","5","6","7","8","9","10","J","Q","K"]
>>> random.sample(poker,5)
['4', '3', '10', '2', 'Q']

上述几个方式是Python常用的一些方法,但是关于随机数还有很多的故事。下回分解~

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