Python Code: # Import the 'choice' function from the 'random' modulefromrandomimportchoice# Define a function 'generate_random' that generates a random number within a specified range, excluding certain numbersdefgenerate_random(start_range,end_range,nums):# Generate a random number within the sp...
importrandomdefgenerate_random_numbers(n,lower_bound,upper_bound):random_numbers=[]for_inrange(n):number=random.randint(lower_bound,upper_bound)random_numbers.append(number)returnrandom_numbers# 设置参数number_of_randoms=10# 需要生成的随机数的数量lower_bound=1# 随机数的下界upper_bound=100# 随机...
上述代码使用random模块的randint()函数来生成一个1到100之间的随机整数,并将其打印输出。 2. 使用循环生成多个随机数 要生成多个随机数字,我们可以使用循环来重复调用生成随机数的方法。 importrandom random_numbers=[]for_inrange(10):number=random.randint(1,100)random_numbers.append(number)print(random_numbe...
# Program to generate a random number between 0 and 9 # importing the random module import random print(random.randint(0,9)) Run Code Output 5 Note that we may get different output because this program generates random number in range 0 and 9. The syntax of this function is: random...
import random 设置随机数种子 random.seed(42) 生成10个范围在1到100之间的随机整数 for i in range(10): rand_int = random.randint(1, 100) print(f"随机整数{i + 1}: {rand_int}") 七、生成高斯分布的随机数 除了均匀分布的随机数,random模块还可以生成服从高斯分布(正态分布)的随机数。可以使用ra...
normal_number = random.gauss(0, 1) print(f"Normal Number: {normal_number}") 这些分布函数可以满足更高级的随机数生成需求,尤其在模拟实验或统计学中有广泛应用。 4. 应用场景 4.1 随机密码生成器 import string def generate_random_password(length): characters = string.ascii_letters + string.digits...
for _ in range(9): phone_number += str(random.randint(0, 9)) return phone_number # 生成1个随机手机号码 print(generate_phone_number()) 3. 生成1亿个随机手机号码 要生成1亿个随机手机号码,我们只需要将上述函数放入一个循环中,重复执行即可。但需要注意的是,生成大量的随机数据可能会消耗大量的内存...
= string.digits randomNumber = ''.join(choice(numbers) for _ in range(4)) print(randomNumber...
1.2 random模块中的方法 # 这是有关Python中自带的random模块功能简介#"""Random variable generators. integers --- uniform within range sequences --- pick random element pick random sample pick weighted random sample generate random permutation distributions on the...
The random() Function generates a random float number between 0 and 1. The randint() Function is used to generate a random integer value between a given range of values. The uniform() Function of the random module is used for generating the float numbers between a given range of numbers...