一、随机数random,验证码,可以一个随机花名册, random.random()# 返回0~1之间的小数 random.randint(1, 10)#【1, 10】随机返回一个整数,范围两端都包含 random.randrange(1, 10)#【1, 10】随机返回一个整数,会出现前,不会出现后面的数据,相当于range(), 不顾后端。 random.uniform(1, 10)# 【1,10】...
from random import * print randint(1, 100) # Pick a random number between 1 and 100. 1. 2. 这将打印一个随机整数。如果想将其存储,可以使用一个变量: from random import * x = randint(1, 100) # Pick a random number between 1 and 100. print x 1. 2. 3. 1到10之间的随机数 要生成...
"""Choose a random element from a non-empty sequence.""" return seq[int(self.random() * len(seq))] # raises IndexError if seq is empty def shuffle(self, x, random=None): """x, random=random.random -> shuffle list x in place; return None. Optional arg random is a 0-argument ...
我们可以使用print语句将其输出到控制台: print("Randomly picked fruit:",random_fruit) 1. 至此,我们已经完成了整个"Python List Random Pick"的实现。下面是完整的代码示例: importrandom fruits=['apple','banana','orange','kiwi','watermelon']random_fruit=random.choice(fruits)print("Randomly picked fru...
val = random.randint(1, 10) print(val) The example produces four random integers between numbers 1 and 10. $ ./rand_int.py 10 4 9 3 Python random.randrange Therandom.randrangefunction excludes the right-hand side of the interval. It picks values between [x, y). ...
Inside the for loop, the program will pick two single-digit numbers to multiply. We’ll use these numbers to create a #Q: N × N = prompt for the user, where Q is the question number (1 to 10) and N are the two numbers to multiply. # Pick two random numbers: num1 = random....
import pandas as pd import numpy as np # Set random seed np.random.seed(123) data = {'Column1': np.random.randint(0, 10, size=100000), 'Column2': np.random.choice(['A', 'B', 'C'], size=100000), 'Column3': np.random.rand(100000)} # Create Pandas dataframe df = pd.DataF...
All we have to do is to import it and use it as follows: from sklearn.model_selection import train_test_split features_train, features_test, labels_train, labels_test = train_test_split( features, labels, test_size=0.20, random_state=0) Our test and training sets are ready. Now, ...
Let’s think about a simple example where we have a set of numbers contained in a list,and we would like to pick one of those numbers uniformly at random. 在本例中,我们需要使用的函数是random.choice,在括号内,我们需要一个列表。 The function we need to use in this case is random.choice...
To take the sin of this number, we say math.sin and use math.pi over 2 as an input to the sin function. 正如所料,Python告诉我们π除以2的sin正好是1。 And as expected, Python tells us the sin of pi over 2 is exactly 1. 有时,我们不想使用整个模块。 Sometimes, we don’t want to...