将多个列表与索引合二为一

Question

我正在寻找将多个列表组合成一个列表的解决方案，以便稍后转换为表格。所有列表都有相同的元素，其中一些有唯一的项目。

person1 = [['Name','Alex'], ['Gender','M'], ['Age', 30]]
person2 = [['Name','Anna'], ['Gender','F'], ['Phone','1234567'],['Age', 25]]
person3 = [['Name','Fred'], ['Gender','M'], ['Age', 33], ['Passport', '987654']]

我想将其转换为列表/表格如下：

# Name     Alex Anna    Fred 
# Gender   M    F       M
# Phone    #N/A 1234567 #N/A
# Age      30   25      33
# Passport #N/A #N/A    987654

我尝试使用 dict，但是如果 key 已经存在，则无法创建添加数据的函数：

combined = {}

for item in person1:
    if item[0] in combined:
        # How to add data, if key already exists in dict ?
        print('Exists')
    else:
        combined[item[0]] = item[1]

for item in person2:
    if item[0] in combined:
        # How to add data, if key already exists in dict ?
        print('Exists')
    else:
        combined[item[0]] = item[1]

for item in person3:
    if item[0] in combined:
        # How to add data, if key already exists in dict ?
        print('Exists')
    else:
        combined[item[0]] = item[1]

print(combined)

# Current output
# {'Name': 'Alex', 'Gender': 'M', 'Age': 30, 'Phone': '1234567', 'Passport': '987654'}

如果有人可以建议如何制作，将不胜感激。

Answer 1

您可以使用defaultdict(list)，如下所示：

from collections import defaultdict

person1 = [['Name','Alex'], ['Gender','M'], ['Age', 30]]
person2 = [['Name','Anna'], ['Gender','F'], ['Phone','1234567'],['Age', 25]]
person3 = [['Name','Fred'], ['Gender','M'], ['Age', 33], ['Passport', '987654']]


dct = defaultdict(list)

def key_in_per(person, key):
    for p in person:
        if key == p[0]:
            return p[1]
    return None

for key in ['Name','Gender', 'Age', 'Phone', 'Passport']:
    for person in [person1, person2, person3]:
        dct[key].append(key_in_per(person, key))

print(dct)
print(pd.DataFrame(dct))

输出：

defaultdict(list,
            {'Name': ['Alex', 'Anna', 'Fred'],
             'Gender': ['M', 'F', 'M'],
             'Age': [30, 25, 33],
             'Phone': [None, '1234567', None],
             'Passport': [None, None, '987654']})


    Name    Gender  Age Phone   Passport
0   Alex    M       30  None    None
1   Anna    F       25  1234567 None
2   Fred    M       33  None    987654