tutorial on sharing the random number generated in Python

This article summarizes the most common methods of generating random numbers in Python in the random module, first to raise a chestnut:

The code is as follows

Random integer:>>> import random>>> random.randint (0,99) 21 randomly select even:>>> import random>> from 0 to 100 > Random.randrange (0, 101, 2) 42 random floating-point:>>> import random>>> random.random () 0.85415370477785668 >>> random.uniform (1, 10) 5.4221167969800881 random character:>>> import random>>> random.choice (' Abcdefg&#%^*f ') ' d ' multiple characters select a specific amount of character:>>> import randomrandom.sample (' Abcdefghij ', 3) [' A ', ' d ', ' B '] Select a specific number of characters to form a new string:>>> import random>>> import string>>> string.join (random.sample ([' A ', ' B ', ' C ', ' d ', ' e ', ' f ', ' g ', ' h ', ' I ', ' J '], 3). Replace ("", "") ' FIH ' randomly selected string:>>> import random>>> Random.choice ([' Apple ', ' pear ', ' peach ', ' orange ', ' Lemon ']) ' Lemon ' shuffle:>>> import random>>> items = [1 , 2, 3, 4, 5, 6]>>> random.shuffle (items) >>> items[3, 2, 5, 6, 4, 1]

A small partner in need can take a look.

Here are some of the most commonly used functions in the random module

Random.random

Random.random () is used to generate a random number of 0 to 1 points: 0 <= N < 1.0

Random.uniform

The function prototype for Random.uniform is: Random.uniform (A, b), which is used to generate a random number of points within a specified range of two parameters, one of which is the upper limit and the other is the lower limit. If a > B, the generated random number n:a <= n <= B. If a <b, then B <= N <= A.

Print random.uniform (+) Print Random.uniform #----results (different results on various machines) #18.7356606526 #12.5798298022

Random.randint

The function prototype for Random.randint () is: Random.randint (A, b), which is used to generate integers in a specified range. Where parameter A is the lower limit, parameter B is the upper limit, the generated random number n:a <= n <= B

Print Random.randint (#生成的随机数n): <= n <= print random.randint #print random.randint (20), ) #该语句是错误的. The lower limit must be less than the upper limit.

Random.randrange

The function prototype for Random.randrange is: Random.randrange ([start], stop[, step]), which gets a random number from the specified range, in the collection incremented by the specified cardinality. such as: Random.randrange (10, 100, 2), the result is equivalent from [10, 12, 14, 16, ... 96, 98] gets a random number in the sequence. Random.randrange (10, 100, 2) is equivalent to Random.choice (range (10, 100, 2) on the result.

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. Here's a note: sequence is not a specific type in Python, but a series of types. list, tuple, string all belong to sequence. For sequence, you can view the Python manual data Model chapter. Here are some examples of using choice:

Print Random.choice ("Learn Python") print Random.choice (["Jgood", "is", "a", "handsome", "boy"]) print Random.choice (" Tuple "," List "," Dict "))

Random.shuffle

The function prototype for random.shuffle is: random.shuffle (x[, Random]), which is used to disrupt elements in a list. Such as:

p = [' Python ', ' is ', ' powerful ', ' simple ', ' and so ' on ... '] Random.shuffle (p) Print P #----Results (results may differ on different machines.) #[' powerful ', ' simple ', ' was ', ' Python ', ' and so on ... ']

Random.sample

The function prototype for random.sample is: random.sample (sequence, k), which randomly fetches fragments of the specified length from the specified sequence. The sample function does not modify the original sequence.

list = [1, 2, 3, 4, 5, 6, 7, 8, 9, ten] slice = random.sample (list, 5) #从list中随机获取5个元素, as a fragment return print slice Print List #原有序 column does not change.

The above methods are the most common in the random module, and other methods are described in the Python manual. Interested friends can find more detailed information by querying the Python manual.

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