如何使用字典更新带有嵌套列表的字典？

Question

我得到了以下字典network_values

network_values = {
    0: "CGR cinémas",
    1: "Ville de Choisy-le-Roi",
    2: "Pathé Gaumont",
    3: "UGC",
    4: "Cinéode",
    5: "Magestic",
    6: "Cinéville",
    7: "cinebus",
    8: "CGR",
    9: "Utopia",
    10: "Écran mobile 74"
}

我有另一个字典， theater_values ，嵌套列表

theater_values = {
   "0":[
      "node/4522090127",
      1.0,
      300.0,
      "Saint-Jean-Pied-de-Port",
      "nan"
   ],
   "1":[
      "node/563839797",
      2.0,
      239.0,
      "Barbezieux-Saint-Hilaire",
      "nan"
   ],
   "2":[
      "node/5472582580",
      "nan",
      "nan",
      "Lezay",
      "nan"
   ],
   "3":[
      "node/7623662713",
      2.0,
      280.0,
      "Montaigu-Vendée",
      "nan"
   ],
   "4":[
      "node/4115072853",
      1.0,
      274.0,
      "Chalonnes-sur-Loire",
      "nan"
   ],
   "5":[
      "node/5250851417",
      3.0,
      341.0,
      "Thiers",
      "nan"
   ],
   "6":[
      "way/83676895",
      3.0,
      534.0,
      "Argentan",
      "nan"
   ],
   "7":[
      "node/502262289",
      8.0,
      1898.0,
      "Tours",
      "CGR cinémas"
   ],
   "8":[
      "node/3475038904",
      "nan",
      "nan",
      "Saint-Étienne",
      "nan"
   ],
   "9":[
      "way/146090090",
      "nan",
      "nan",
      "Marcoussis",
      "nan"
   ],
   "10":[
      "way/66143799",
      "nan",
      "nan",
      "Choisy-le-Roi",
      "Ville de Choisy-le-Roi"
   ],
   "11":[
      "node/7768900435",
      12.0,
      2139.0,
      "Paris",
      "Pathé Gaumont"
   ]
}

目的是当像CGR cinémas cinémas 这样的值存在于theater_values和network_values的嵌套列表中时，我使用network_values的键更新theater_values 。

如果网络值和theater_values中network_values CGR cinémas ，我会将theater_values值更新为0 （可能是整数或字符）。

这就是我所做的，但它没有做它应该做的事情

def proto_csv(theater_values):
    network_values = {0: 'CGR cinémas', 1: 'Ville de Choisy-le-Roi', 2: 'Pathé Gaumont', 3: 'UGC', 4: 'Cinéode', 5: 'Magestic', 6: 'Cinéville', 7: 'cinebus', 8: 'CGR', 9: 'Utopia', 10: 'Écran mobile 74}
    for keys_theaters,vals_theaters in theater_values.items():
        for keys_networks,vals_networks in network_values.items():
            if vals_theaters == vals_networks:
                theater_values[keys_theaters] = str(keys_networks)
    return theater_values

我对如何做到这一点有点困惑，因为我的代码实际上并没有给我想要的结果或任何结果......

更新的结果是这样的

theater_values = {
       "0":[
          "node/4522090127",
          1.0,
          300.0,
          "Saint-Jean-Pied-de-Port",
          "nan"
       ],
       "1":[
          "node/563839797",
          2.0,
          239.0,
          "Barbezieux-Saint-Hilaire",
          "nan"
       ],
       "2":[
          "node/5472582580",
          "nan",
          "nan",
          "Lezay",
          "nan"
       ],
       "3":[
          "node/7623662713",
          2.0,
          280.0,
          "Montaigu-Vendée",
          "nan"
       ],
       "4":[
          "node/4115072853",
          1.0,
          274.0,
          "Chalonnes-sur-Loire",
          "nan"
       ],
       "5":[
          "node/5250851417",
          3.0,
          341.0,
          "Thiers",
          "nan"
       ],
       "6":[
          "way/83676895",
          3.0,
          534.0,
          "Argentan",
          "nan"
       ],
       "7":[
          "node/502262289",
          8.0,
          1898.0,
          "Tours",
          "O" #here
       ],
       "8":[
          "node/3475038904",
          "nan",
          "nan",
          "Saint-Étienne",
          "nan"
       ],
       "9":[
          "way/146090090",
          "nan",
          "nan",
          "Marcoussis",
          "nan"
       ],
       "10":[
          "way/66143799",
          "nan",
          "nan",
          "Choisy-le-Roi",
          "Ville de Choisy-le-Roi"
       ],
       "11":[
          "node/7768900435",
          12.0,
          2139.0,
          "Paris",
          "1" #here
       ]
    }

Answer 1

首先是关闭字典中'Écran mobile 74的引号，因为您粘贴的代码返回SyntaxError 。

然后，在if语句中，您当前正在将字典与字符串进行比较，因此表达式永远不会为真。 您想查看字符串是否在字典值中，如果是，则更新字典的该元素：

if vals_networks in vals_theaters:
    theater_values[keys_theaters][vals_theaters.index(vals_networks)] = str(keys_networks)

这给出了 output：

{
    '0': ['node/4522090127', 1.0, 300.0, 'Saint-Jean-Pied-de-Port', 'nan'],
    '1': ['node/563839797', 2.0, 239.0, 'Barbezieux-Saint-Hilaire', 'nan'],
    '2': ['node/5472582580', 'nan', 'nan', 'Lezay', 'nan'],
    '3': ['node/7623662713', 2.0, 280.0, 'Montaigu-Vendée', 'nan'],
    '4': ['node/4115072853', 1.0, 274.0, 'Chalonnes-sur-Loire', 'nan'],
    '5': ['node/5250851417', 3.0, 341.0, 'Thiers', 'nan'],
    '6': ['way/83676895', 3.0, 534.0, 'Argentan', 'nan'],
    '7': ['node/502262289', 8.0, 1898.0, 'Tours', '0'],
    '8': ['node/3475038904', 'nan', 'nan', 'Saint-Étienne', 'nan'],
    '9': ['way/146090090', 'nan', 'nan', 'Marcoussis', 'nan'],
    '10': ['way/66143799', 'nan', 'nan', 'Choisy-le-Roi', '1'],
    '11': ['node/7768900435', 12.0, 2139.0, 'Paris', '2']
}