将 2 个数组组合成一个字典

Question

我有一个字符串数组（a1）：["a", "b", "c"]另一个 ( a2) 看起来像这样：["1,20,300", "2,10,300", "3,40,300", "1, 20, 300, 4000"]想要的最终结果是：{"a": [1,2,3,1], "b": [20, 10, 40, 20], "c": [300, 300, 300, 4000] }可以安全地假设它a2[n].split(',')总是以正确的顺序给我项目，即 的顺序["a", "b", "c"]，就像在示例中一样。考虑到这一点，是否可以不必循环两次和/或不必假设字典中键的顺序是一致的？我的解决方案是：a1 = ["a", "b", "c"]a2 = ["1,20,300", "2,10,300", "3,40,300"]result = {}for i in a1:    result[i] = []for e in a2:    splitted = e.split(",")    c = 0    for key,array in result.items():        result[key].append(splitted[c])        c = c+1这需要许多循环并假设 result.items() 将始终以相同的顺序返回键，这不是一个安全的假设。有没有办法避免这种情况？也许使用熊猫？

Answer 1

from numpy import transpose

a1 = ["a", "b", "c"]

a2 = ["1,20,300", "2,10,300", "3,40,300"]

a2t = transpose([e.split(",") for e in a2])

result = {a1[i] : list(a2t[i]) for i in range(len(a1))}

=> {'a': ['1', '2', '3'], 'b': ['20', '10', '40'], 'c': ['300', '300', '300']}

感谢 Code-Apprentice 建议使用 {x : y for ... }

Answer 2

使用map, split, numpy 数组转置zip和dict

n = np.array(list(map(lambda x: x.split(','), a2))).T.tolist()

Out[245]: [['1', '2', '3'], ['20', '10', '40'], ['300', '300', '300']]

result = dict(zip(a1, n))

Out[247]: {'a': ['1', '2', '3'], 'b': ['20', '10', '40'], 'c': ['300', '300', '3

00']}

Answer 3

a1 = ["a", "b", "c"]

a2 = ["1,20,300", "2,10,300", "3,40,300"]

a2 = [item.split(',') for item in a2]

res = {}

for i in range(len(a1)):

    res[a1[i]] = [item[i] for item in a2]

res

{'a': ['1', '2', '3'], 'b': ['20', '10', '40'], 'c': ['300', '300', '300']}