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pythonLearning
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master
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pythonLearning
/
the_fourth_week
/
randomLearning.py
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master
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pythonLearning
/
the_fourth_week
/
randomLearning.py
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import
random
#random标准库,是采用梅森旋转算法生成的w伪随机序列
#基本随机函数
#seed函数,初始化给定的随机数种子,默认为当前系统的时间(如果不调用seed函数,则使用当前系统时间来作为随机数种子)
random
.
seed
()
random
.
random
()
#例子,如果给定随机数种子,那么,将要产生的随机数序列就唯一确定了,(random函数生成一个从0到1之间的一个随机小数)
random
.
seed
(
10
)
print
(
random
.
random
())
print
(
random
.
random
())
random
.
seed
(
10
)
print
(
random
.
random
())
print
(
random
.
random
())
#扩展随机函数
a
=
random
.
randint
(
10
,
100
)
#生成一个【10,100】之间到一个整数
b
=
random
.
randrange
(
10
,
100
,
8
)
#生成一个【10,100)之间,以8为步长,的一个随机数
c
=
random
.
uniform
(
10
,
100
)
#生成一个【10,100】之间的随机小数(python中的小数取的是小数点后的十六位)
d
=
random
.
getrandbits
(
8
)
#获得一个k比特长的随机整数
s
=
[
2
,
3
,
4
,
7
,
5
,
1
]
e
=
random
.
choice
(
s
)
#从序列中随机选取一个元素
random
.
shuffle
(
s
)
#打乱一个序列
print
(
a
,
b
,
c
,
d
,
e
,
s
)
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