Python module learning: random random number generation
The random module in Python is used to generate random numbers. The following introduces some of the most commonly used functions in the random module.
random.random
random.random() is used to generate a random symbol number from 0 to 1: 0 <= n < 1.0
random.uniform
The function prototype of random.uniform is: random.uniform(a, b), which is used to generate a number of random character points within a specified range. One of the two parameters is the upper limit and the other is the lower limit. If a > b, the generated random number n: b <= n <= a. If a random.randint The function prototype of random.randint() is: random.randint(a, b), which is used to generate an integer within a specified range . The parameter a is the lower limit, the parameter b is the upper limit, and the generated random number n: a <= n <= b random.randrange random.randrange The function prototype is: random.randrange([start], stop[, step]), which obtains a random number from a set in the specified range that increases by the specified base. For example: random.randrange(10, 100, 2), the result is equivalent to obtaining a random number from the sequence [10, 12, 14, 16, … 96, 98]. random.randrange(10, 100, 2) is equivalent in result to random.choice(range(10, 100, 2). random.choice random.choice gets a random element from the sequence. Its function prototype is: random.choice(sequence). The parameter sequence represents an ordered type. It should be noted here: sequence is not a specific type in Python, but a general term. A series of types. List, tuple, and string all belong to sequence. For information about sequence, please refer to the chapter of python manual data model. You can also refer to: http://www.17xie.com/read-37422.html. Some examples of choice: random.shuffle The function prototype of random.shuffle is: random.shuffle(x[, random]), which is used to convert a The elements in the list are scrambled. For example: random.sample The function prototype of random.sample is: random.sample(sequence, k), from the specified Randomly obtain a fragment of a specified length from the sequence. The sample function will not modify the original sequence. The above methods are the most commonly used in the random module. Other methods are also introduced in the Python manual. Friends can learn more detailed information by consulting the Python manual. The above is the content of Python module learning: random random number generation. For more related content, please pay attention to the PHP Chinese website (www.php.cn) [Related recommendations] 2. Python random() function example tutorial 3. Share an example tutorial of random (randomly generated number) in Python 5. Common methods and usage examples of the Python random module (obtaining random numbers) 6. Common methods of Python random module 7. Sharing tutorials on how to generate random numbers using the random module in Pythonprint random.uniform(10, 20)
print random.uniform(20, 10)
#---- 结果（不同机器上的结果不一样）
#18.7356606526
#12.5798298022
print random.randint(12, 20) #生成的随机数n: 12 <= n <= 20
print random.randint(20, 20) #结果永远是20
#print random.randint(20, 10) #该语句是错误的。下限必须小于上限。
print random.choice("学习Python")
print random.choice(["JGood", "is", "a", "handsome", "boy"])
print random.choice(("Tuple", "List", "Dict"))p = ["Python", "is", "powerful", "simple", "and so on..."]
random.shuffle(p)
print p
#---- 结果（不同机器上的结果可能不一样。）
#['powerful', 'simple', 'is', 'Python', 'and so on...']
list = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
slice = random.sample(list, 5) #从list中随机获取5个元素，作为一个片断返回
print slice
print list #原有序列并没有改变。
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