您可以通过在shuffle 之前更新random 的seed 来生成一致的n 随机样本。这是一个关于如何生成这些名称列表的示例(10 个示例):
import random, copy
sorted_list = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z']
i = 0 #counter
n = 10 # number of samples
l = 4 # length of samples
myset = set()
while i < n:
shuffled_list = copy.deepcopy(sorted_list)
random.seed(i)
random.shuffle(shuffled_list)
name = tuple(shuffled_list[:l])
if name not in myset:
myset.add(name)
i+=1
print(sorted([''.join(list(x)) for x in myset]))
# ['CKEM', 'DURP', 'GQXO', 'JFWI', 'JNRX', 'MNSV', 'OAXS', 'TIFX', 'VLZS', 'XYLK']
然后你可以随机生成n的价格数量,并创建一个tuples的list,将每个名称绑定到一个价格:
names = sorted([''.join(list(x)) for x in myset])
int_list = random.sample(range(1, 100), n)
prices = [x/10 for x in int_list]
names_and_prices = []
for name, price in zip(names,prices):
names_and_prices.append((name,price))
# [('CKEM', 1.5), ('DURP', 1.7), ('GQXO', 6.5), ('JFWI', 7.6), ('JNRX', 0.9), ('MNSV', 8.9), ('OAXS', 5.0), ('TIFX', 9.6), ('VLZS', 1.4), ('XYLK', 3.8)]