importrandomdefrandom_sampling_without_replacement(data,k):returnrandom.sample(data,k) 1. 2. 3. 4. 在上述代码中,random_sampling_without_replacement()函数接受两个参数:data表示要从中抽样的序列,k表示要抽取的样本数量。函数内部使用random.sample(data, k)来进行抽样,并返回一个包含k个随机元素的列表。
Random samples without replacement (Python recipe) Sample generator using only r calls to random.random(). defsample(n,r):"Generate r randomly chosen, sorted integers from [0,n)"rand=random.randompop=nforsampinxrange(r,0,-1):cumprob=1.0x=rand()whilex<cumprob:cumprob-=cumprob*samp/pop...
Pytorch中RandomSampler解读 classRandomSampler(Sampler[int]):r"""Samples elements randomly. If without replacement, then sample from a shuffled dataset.If with replacement, then user can specify :attr:`num_samples` to draw.Args:data_source (Dataset): dataset to sample fromreplacement (bool): samp...
python # random import random print random.choice(['apple', 'pear', 'banana']) #从数组中随机选择一个元素 print random.sample(xrange(100), 10) # sampling without replacement print random.random() # random float print random.randrange(6) # random integer chosen from range(6) python中随机函...
python: random.sample random.sample(population,k) Return aklength list of unique elements chosen from the population sequence. Used for random sampling without replacement.
class SubsetRandomSampler(Sampler[int]): r"""Samples elements randomly from a given list of indices, without replacement. Args: indices (sequence): a sequence of indices generator (Generator): Generator used in sampling. """ indices: Sequence[int] def __init__(self, indices: Sequence[int...
random.sample(population, k, *, counts=None) Return a k length list of unique elements chosen from the population sequence. Used for random sampling without replacement. 返回包含来自总体的元素的新列表,同时保持原始总体不变。 结果列表按选择顺序排列,因此所有子切片也将是有效的随机样本。 这允许抽奖获...
7. sample(population, k) method of random.Random instance Chooses k unique random elements from a population sequence or set. #在range()指定范围内,返回指定个数的随机数样本列表>>> random.sample(range(10000), 10)[1817, 5551, 3549, 8889, 750, 265, 5890, 7658, 4068, 1249]>>> random.sa...
>>> sample([10, 20, 30, 40, 50], k=4) # Four samples without replacement [40, 10, 50, 30] 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 想必通过以上对python中random()函数的用法结合实例展示,大家已经有一定认知了吧...
Python random intenger number: Generate random numbers using randint() and randrange(). Python random choice: Select a random item from any sequence such as list, tuple, set. Python random sample: Select multiple random items (k sized random samples) from a list or set. ...