password = ""for i in range(8):(tab)digit = random.randint(0, 9)(tab)password += str(digit)print(password)上述代码将生成一个包含8位数字的随机密码并打印出来。randint()函数的注意事项 randint()函数的参数顺序不可颠倒。即参数a必须小于参数b，否则函数将报错。randint()函数的参数必须为整数。如果...
random库概述 在Python编程中,我们经常需要生成随机数来模拟真实情况、实现游戏逻辑、进行数据采样等。Python提供了一个名为random的内置库,它为我们提供了丰富的随机数生成功能。本文将详细介绍random库的使用,包括随机数生成、随机数种子、随机选择元素、洗牌等,让我们一起探索这个强大的库。 random库是使用随机数的Pyt...
>>> import random>>> [i for i in dir(random) if i[0]>='a']['betavariate', 'choice', 'choices', 'expovariate', 'gammavariate', 'gauss','getrandbits', 'getstate', 'lognormvariate', 'normalvariate', 'paretovariate','randint', 'random', 'randrange', 'sample', 'seed', 'setstat...
代码示例float = random.random() """ float = 0.123565654548978 """ 3. random.uniform 产生a,b范围内一个随机浮点数 代码示例float = random.uniform(11,15) """ float = 13.882923467738049 """ 4. random.randint 随机生成a,b范围内一个整数。 代码示例int = random.randint(1, 9) """ int = 2...
b=int(input("输入数字"))ifb>a:print("太大了")elifb<a:print("太小了")else:print("恭喜答对") flag= 0 第二种:break跳出 关键字break 功能为跳出本循环体,所以这时候可以设定while循环条件恒为真 importrandom as r a= r.randint(1,100)#方便调试程序、调试结束当将本句注释掉print(a)whileTrue...
random.randrange()examples In the following example, we are trying to print a random int in a given range. This example demonstrates all the variants ofrandom.randrange()function. importrandom# random integer from 0 to 9num1 = random.randint(0,9) ...
一、Random函数 (一)浮点数函数 random.random随机生成一个0到1之间的浮点数。 0<=n<=1 >>> random.random() 0.7086588033796296 1. 2. random.uniform(a,b)生成一个a到b内的随机浮点数。 若a<b,则a <= n <= b若a>b,则b <= n <= a ...
print(random.getrandbits(2)) print(random.choice([1,3,5,7,9])) l=[1,2,3,4] random.shuffle(l) print(l) print(random.sample(l,2)) print('*'*40) print('has seed') random.seed(1) for i in range(5): ret = random.randint(1,10) ...
importrandomprint(random.randint(5,99)) C:\python35\python3.exe D:/pyproject/day21模块/random随机模块.py53 3、randrange(self, start, stop=None, step=1, _int=int): Choose a random item from range(start, stop[, step]). This fixes the problem with randint() which includes the ...
def get_pixels_hu(slices):image = np.stack([s.pixel_array for s in slices])# Convert to int16 (from sometimes int16),# should be possible as values should always be low enough (<32k)image = image.astype(np.int16)# Set outside-of-scan pixels to 0# The intercept is usually -102...