{"id":1034427,"date":"2024-12-31T11:50:08","date_gmt":"2024-12-31T03:50:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1034427.html"},"modified":"2024-12-31T11:50:10","modified_gmt":"2024-12-31T03:50:10","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e6%95%b0%e5%ad%98%e5%9c%a8%e5%ad%97%e5%85%b8%e4%b8%adpython","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1034427.html","title":{"rendered":"\u5982\u4f55\u5c06\u6570\u5b58\u5728\u5b57\u5178\u4e2dpython"},"content":{"rendered":"

\"\u5982\u4f55\u5c06\u6570\u5b58\u5728\u5b57\u5178\u4e2dpython\"<\/p>\n

\u5728Python\u4e2d\u5c06\u6570\u636e\u5b58\u50a8\u5230\u5b57\u5178\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u952e\u503c\u5bf9\u3001\u4f7f\u7528update()<\/code>\u65b9\u6cd5\u3001\u901a\u8fc7\u8fed\u4ee3\u63d2\u5165\u3001\u4ece\u5217\u8868\u4e2d\u521b\u5efa\u5b57\u5178\u3001\u4ece\u5143\u7ec4\u521b\u5efa\u5b57\u5178\u3001\u4f7f\u7528\u5b57\u5178\u63a8\u5bfc\u5f0f\u7b49\u65b9\u6cd5\u3002<\/strong> \u4f8b\u5982\uff0c\u4f7f\u7528\u952e\u503c\u5bf9\u63d2\u5165\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u901a\u8fc7\u5c06\u952e\u548c\u503c\u76f4\u63a5\u8d4b\u503c\u7ed9\u5b57\u5178\u6765\u5b8c\u6210\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u8fd9\u4e00\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4f7f\u7528\u952e\u503c\u5bf9\u63d2\u5165\u6570\u636e\u5230\u5b57\u5178\u4e2d\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u5b9a\u4e49\u4e00\u4e2a\u5b57\u5178\uff0c\u7136\u540e\u4e3a\u6bcf\u4e2a\u9700\u8981\u5b58\u50a8\u7684\u6570\u636e\u6307\u5b9a\u4e00\u4e2a\u952e\uff0c\u5e76\u5c06\u503c\u8d4b\u7ed9\u8be5\u952e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

data_dict = {}<\/p>\n
data_dict['name'] = 'Alice'<\/p>\n
data_dict['age'] = 25<\/p>\n
data_dict['city'] = 'New York'<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6837\u5c31\u5c06\u6570\u636e\u5b58\u50a8\u5230\u4e86\u5b57\u5178\u4e2d\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u952e\u503c\u5bf9\u63d2\u5165\u6570\u636e<\/p>\n<\/p>\n
Python\u4e2d\u7684\u5b57\u5178\u662f\u4e00\u79cd\u65e0\u5e8f\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5b58\u50a8\u5728\u952e\u503c\u5bf9\u4e2d\u3002\u6bcf\u4e2a\u952e\u90fd\u662f\u552f\u4e00\u7684\uff0c\u5bf9\u5e94\u4e00\u4e2a\u503c\u3002\u952e\u503c\u5bf9\u63d2\u5165\u662f\u6700\u76f4\u63a5\u7684\u5b58\u50a8\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7ec4\u7ec7\u548c\u7ba1\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n
    \n
  1. \u5b9a\u4e49\u5b57\u5178\u5e76\u63d2\u5165\u952e\u503c\u5bf9<\/li>\n<\/ol>\n
    \u5f00\u59cb\u65f6\uff0c\u5b9a\u4e49\u4e00\u4e2a\u7a7a\u5b57\u5178\u3002\u7136\u540e\uff0c\u901a\u8fc7\u6307\u5b9a\u952e\u548c\u503c\uff0c\u63d2\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
    my_dict = {}<\/p>\n
    my_dict['name'] = 'John Doe'<\/p>\n
    my_dict['age'] = 30<\/p>\n
    my_dict['occupation'] = 'Engineer'<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u4e0a\u8ff0\u4f8b\u5b50\u4e2d\uff0c\u5b9a\u4e49\u4e86\u4e00\u4e2a\u7a7a\u5b57\u5178my_dict<\/code>\uff0c\u7136\u540e\u5206\u522b\u63d2\u5165\u4e86\u4e09\u4e2a\u952e\u503c\u5bf9\u3002\u6bcf\u4e2a\u952e\u90fd\u662f\u5b57\u7b26\u4e32\u7c7b\u578b\uff0c\u503c\u53ef\u4ee5\u662f\u4efb\u4f55\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u5b57\u7b26\u4e32\u3001\u6574\u6570\u3001\u5217\u8868\u3001\u751a\u81f3\u53e6\u4e00\u4e2a\u5b57\u5178\u3002<\/p>\n<\/p>\n
      \n
    1. \u66f4\u65b0\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9<\/li>\n<\/ol>\n
      \u5b57\u5178\u662f\u53ef\u53d8\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u968f\u65f6\u66f4\u65b0\u3002\u5728\u63d2\u5165\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u91cd\u65b0\u8d4b\u503c\u6765\u66f4\u65b0\u5b57\u5178\u4e2d\u7684\u503c\uff1a<\/p>\n<\/p>\n
      my_dict['age'] = 31<\/p>\n
      my_dict['occupation'] = 'Senior Engineer'<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u5c06\u66f4\u65b0my_dict<\/code>\u5b57\u5178\u4e2dage<\/code>\u548coccupation<\/code>\u7684\u503c\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528update()\u65b9\u6cd5<\/p>\n<\/p>\n
      update()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u53e6\u4e00\u4e2a\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\u63d2\u5165\u5230\u5f53\u524d\u5b57\u5178\u4e2d\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u4e00\u6b21\u6027\u63d2\u5165\u591a\u4e2a\u952e\u503c\u5bf9\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
        \n
      1. \u4f7f\u7528\u53e6\u4e00\u4e2a\u5b57\u5178\u66f4\u65b0<\/li>\n<\/ol>\n
        \u5047\u8bbe\u5df2\u7ecf\u6709\u4e00\u4e2a\u5b57\u5178person_info<\/code>\uff0c\u9700\u8981\u5c06\u53e6\u4e00\u4e2a\u5b57\u5178\u4e2d\u7684\u6570\u636e\u5408\u5e76\u5230\u5176\u4e2d\uff1a<\/p>\n<\/p>\n
        person_info = {<\/p>\n
            'name': 'John Doe',<\/p>\n
            'age': 30<\/p>\n
        }<\/p>\n
        additional_info = {<\/p>\n
            'occupation': 'Engineer',<\/p>\n
            'city': 'New York'<\/p>\n
        }<\/p>\n
        person_info.update(additional_info)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u6837\uff0cperson_info<\/code>\u5b57\u5178\u5c06\u5305\u542badditional_info<\/code>\u5b57\u5178\u4e2d\u7684\u6240\u6709\u952e\u503c\u5bf9\u3002update()<\/code>\u65b9\u6cd5\u4f1a\u8986\u76d6\u5177\u6709\u76f8\u540c\u952e\u7684\u73b0\u6709\u503c\u3002<\/p>\n<\/p>\n
          \n
        1. \u4f7f\u7528\u5173\u952e\u5b57\u53c2\u6570\u66f4\u65b0<\/li>\n<\/ol>\n
          \u9664\u4e86\u5b57\u5178\u4f5c\u4e3a\u53c2\u6570\uff0cupdate()<\/code>\u65b9\u6cd5\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5173\u952e\u5b57\u53c2\u6570\u66f4\u65b0\u5b57\u5178\uff1a<\/p>\n<\/p>\n
          person_info.update(occupation='Senior Engineer', city='Los Angeles')<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u5f0f\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u6d01\u7684\u8bed\u6cd5\u6765\u66f4\u65b0\u591a\u4e2a\u952e\u503c\u5bf9\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u901a\u8fc7\u8fed\u4ee3\u63d2\u5165\u6570\u636e<\/p>\n<\/p>\n
          \u5728\u5faa\u73af\u4e2d\u63d2\u5165\u6570\u636e\u5bf9\u4e8e\u52a8\u6001\u751f\u6210\u5b57\u5178\u975e\u5e38\u6709\u7528\u3002\u53ef\u4ee5\u901a\u8fc7\u8fed\u4ee3\u4e00\u4e2a\u5217\u8868\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\uff0c\u5c06\u6bcf\u4e2a\u5143\u7d20\u63d2\u5165\u5230\u5b57\u5178\u4e2d\u3002<\/p>\n<\/p>\n
            \n
          1. \u4ece\u5217\u8868\u751f\u6210\u5b57\u5178<\/li>\n<\/ol>\n
            \u5047\u8bbe\u6709\u4e00\u4e2a\u5305\u542b\u952e\u503c\u5bf9\u7684\u5217\u8868\uff0c\u9700\u8981\u5c06\u5176\u63d2\u5165\u5230\u5b57\u5178\u4e2d\uff1a<\/p>\n<\/p>\n
            keys = ['name', 'age', 'occupation']<\/p>\n
            values = ['Alice', 28, 'Data Scientist']<\/p>\n
            person_info = {}<\/p>\n
            for i in range(len(keys)):<\/p>\n
                person_info[keys[i]] = values[i]<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u5c06\u4e24\u4e2a\u5217\u8868\u5408\u5e76\u4e3a\u4e00\u4e2a\u5b57\u5178\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
              \n
            1. \u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u751f\u6210\u5b57\u5178<\/li>\n<\/ol>\n
              \u5217\u8868\u63a8\u5bfc\u5f0f\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u6d01\u7684\u8bed\u6cd5\u6765\u751f\u6210\u5b57\u5178\uff1a<\/p>\n<\/p>\n
              person_info = {keys[i]: values[i] for i in range(len(keys))}<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u79cd\u65b9\u5f0f\u4e0e\u4e0a\u9762\u7684\u4f8b\u5b50\u5b9e\u73b0\u76f8\u540c\u7684\u529f\u80fd\uff0c\u4f46\u8bed\u6cd5\u66f4\u4e3a\u7b80\u6d01\u3002<\/p>\n<\/p>\n
              \u56db\u3001\u4ece\u5217\u8868\u521b\u5efa\u5b57\u5178<\/p>\n<\/p>\n
              Python\u63d0\u4f9b\u4e86\u591a\u79cd\u4ece\u5217\u8868\u521b\u5efa\u5b57\u5178\u7684\u65b9\u6cd5\uff0c\u7279\u522b\u9002\u7528\u4e8e\u6570\u636e\u9884\u5904\u7406\u548c\u8f6c\u6362\u4efb\u52a1\u3002<\/p>\n<\/p>\n
                \n
              1. \u4f7f\u7528dict.fromkeys()<\/code><\/li>\n<\/ol>\n
                dict.fromkeys()<\/code>\u65b9\u6cd5\u7528\u4e8e\u4ece\u4e00\u4e2a\u5305\u542b\u952e\u7684\u5217\u8868\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff0c\u5e76\u4e3a\u6240\u6709\u952e\u6307\u5b9a\u76f8\u540c\u7684\u9ed8\u8ba4\u503c\uff1a<\/p>\n<\/p>\n
                keys = ['name', 'age', 'occupation']<\/p>\n
                default_value = None<\/p>\n
                person_info = dict.fromkeys(keys, default_value)<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u8fd9\u79cd\u65b9\u6cd5\u521b\u5efa\u4e86\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u6240\u6709\u952e\u7684\u503c\u90fd\u8bbe\u7f6e\u4e3aNone<\/code>\u3002<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528zip()<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
                  zip()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u4e24\u4e2a\u5217\u8868\u7ec4\u5408\u6210\u4e00\u4e2a\u952e\u503c\u5bf9\u7684\u5217\u8868\uff0c\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u5178\uff1a<\/p>\n<\/p>\n
                  keys = ['name', 'age', 'occupation']<\/p>\n
                  values = ['Alice', 28, 'Data Scientist']<\/p>\n
                  person_info = dict(zip(keys, values))<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                  \u8fd9\u79cd\u65b9\u6cd5\u901a\u8fc7\u5c06keys<\/code>\u548cvalues<\/code>\u5217\u8868\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u751f\u6210\u4e00\u4e2a\u5305\u542b\u952e\u503c\u5bf9\u7684\u5b57\u5178\u3002<\/p>\n<\/p>\n
                  \u4e94\u3001\u4ece\u5143\u7ec4\u521b\u5efa\u5b57\u5178<\/p>\n<\/p>\n
                  \u5143\u7ec4\u662f\u4e00\u79cd\u4e0d\u53ef\u53d8\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u7528\u6765\u5b58\u50a8\u952e\u503c\u5bf9\u3002\u53ef\u4ee5\u4f7f\u7528dict()<\/code>\u51fd\u6570\u5c06\u5305\u542b\u5143\u7ec4\u7684\u5217\u8868\u8f6c\u6362\u4e3a\u5b57\u5178\u3002<\/p>\n<\/p>\n
                    \n
                  1. \u4f7f\u7528\u5305\u542b\u5143\u7ec4\u7684\u5217\u8868<\/li>\n<\/ol>\n
                    \u5047\u8bbe\u6709\u4e00\u4e2a\u5305\u542b\u591a\u4e2a\u952e\u503c\u5bf9\u5143\u7ec4\u7684\u5217\u8868\uff1a<\/p>\n<\/p>\n
                    data = [('name', 'Alice'), ('age', 28), ('occupation', 'Data Scientist')]<\/p>\n
                    person_info = dict(data)<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                    \u8fd9\u79cd\u65b9\u6cd5\u5c06\u5305\u542b\u5143\u7ec4\u7684\u5217\u8868\u8f6c\u6362\u4e3a\u5b57\u5178\u3002<\/p>\n<\/p>\n
                      \n
                    1. \u4f7f\u7528dict()<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
                      dict()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u4efb\u4f55\u5305\u542b\u952e\u503c\u5bf9\u7684\u53ef\u8fed\u4ee3\u5bf9\u8c61\u8f6c\u6362\u4e3a\u5b57\u5178\uff1a<\/p>\n<\/p>\n
                      data = [('name', 'Alice'), ('age', 28), ('occupation', 'Data Scientist')]<\/p>\n
                      person_info = dict(data)<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u8fd9\u79cd\u65b9\u6cd5\u4e0e\u4e0a\u9762\u7684\u4f8b\u5b50\u5b9e\u73b0\u76f8\u540c\u7684\u529f\u80fd\uff0c\u4f46\u5f3a\u8c03\u4e86dict()<\/code>\u51fd\u6570\u7684\u901a\u7528\u6027\u3002<\/p>\n<\/p>\n
                      \u516d\u3001\u4f7f\u7528\u5b57\u5178\u63a8\u5bfc\u5f0f<\/p>\n<\/p>\n
                      \u5b57\u5178\u63a8\u5bfc\u5f0f\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u6d01\u7684\u8bed\u6cd5\u6765\u751f\u6210\u5b57\u5178\uff0c\u7279\u522b\u9002\u7528\u4e8e\u6570\u636e\u8f6c\u6362\u548c\u8fc7\u6ee4\u4efb\u52a1\u3002<\/p>\n<\/p>\n
                        \n
                      1. \u57fa\u672c\u5b57\u5178\u63a8\u5bfc\u5f0f<\/li>\n<\/ol>\n
                        \u5047\u8bbe\u6709\u4e00\u4e2a\u5217\u8868\uff0c\u9700\u8981\u751f\u6210\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u952e\u662f\u5217\u8868\u4e2d\u7684\u5143\u7d20\uff0c\u503c\u662f\u5143\u7d20\u7684\u5e73\u65b9\uff1a<\/p>\n<\/p>\n
                        numbers = [1, 2, 3, 4, 5]<\/p>\n
                        squares = {num: num2 for num in numbers}<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                        \u8fd9\u79cd\u65b9\u6cd5\u751f\u6210\u4e86\u4e00\u4e2a\u5305\u542b\u6570\u5b57\u53ca\u5176\u5e73\u65b9\u7684\u5b57\u5178\u3002<\/p>\n<\/p>\n
                          \n
                        1. \u5e26\u6761\u4ef6\u7684\u5b57\u5178\u63a8\u5bfc\u5f0f<\/li>\n<\/ol>\n
                          \u5b57\u5178\u63a8\u5bfc\u5f0f\u8fd8\u53ef\u4ee5\u5305\u542b\u6761\u4ef6\uff0c\u7528\u4e8e\u8fc7\u6ee4\u6570\u636e\uff1a<\/p>\n<\/p>\n
                          numbers = [1, 2, 3, 4, 5]<\/p>\n
                          even_squares = {num: num2 for num in numbers if num % 2 == 0}<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          \u8fd9\u79cd\u65b9\u6cd5\u751f\u6210\u4e86\u4e00\u4e2a\u4ec5\u5305\u542b\u5076\u6570\u53ca\u5176\u5e73\u65b9\u7684\u5b57\u5178\u3002<\/p>\n<\/p>\n
                          \u4e03\u3001\u5408\u5e76\u5b57\u5178<\/p>\n<\/p>\n
                          \u5728\u5904\u7406\u591a\u4e2a\u5b57\u5178\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u5c06\u5b83\u4eec\u5408\u5e76\u4e3a\u4e00\u4e2a\u5b57\u5178\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5408\u5e76\u5b57\u5178\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
                            \n
                          1. \u4f7f\u7528update()<\/code>\u65b9\u6cd5<\/li>\n<\/ol>\n
                            update()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u4e00\u4e2a\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\u5408\u5e76\u5230\u53e6\u4e00\u4e2a\u5b57\u5178\u4e2d\uff1a<\/p>\n<\/p>\n
                            dict1 = {'name': 'Alice', 'age': 28}<\/p>\n
                            dict2 = {'occupation': 'Data Scientist', 'city': 'San Francisco'}<\/p>\n
                            dict1.update(dict2)<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u8fd9\u79cd\u65b9\u6cd5\u5c06dict2<\/code>\u4e2d\u7684\u952e\u503c\u5bf9\u5408\u5e76\u5230dict1<\/code>\u4e2d\u3002<\/p>\n<\/p>\n
                              \n
                            1. \u4f7f\u7528\u5b57\u5178\u89e3\u5305<\/li>\n<\/ol>\n
                              Python 3.5\u53ca\u4ee5\u4e0a\u7248\u672c\u652f\u6301\u5b57\u5178\u89e3\u5305\uff0c\u53ef\u4ee5\u4f7f\u7528<\/code>\u64cd\u4f5c\u7b26\u5408\u5e76\u5b57\u5178\uff1a<\/p>\n<\/p>\n
                              dict1 = {'name': 'Alice', 'age': 28}<\/p>\n
                              dict2 = {'occupation': 'Data Scientist', 'city': 'San Francisco'}<\/p>\n
                              merged_dict = {<strong>dict1, <\/strong>dict2}<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u8fd9\u79cd\u65b9\u6cd5\u751f\u6210\u4e86\u4e00\u4e2a\u65b0\u7684\u5b57\u5178\uff0c\u5305\u542bdict1<\/code>\u548cdict2<\/code>\u4e2d\u7684\u6240\u6709\u952e\u503c\u5bf9\u3002<\/p>\n<\/p>\n
                              \u516b\u3001\u5220\u9664\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9<\/p>\n<\/p>\n
                              \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5220\u9664\u5b57\u5178\u4e2d\u7684\u67d0\u4e2a\u952e\u503c\u5bf9\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5220\u9664\u952e\u503c\u5bf9\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
                                \n
                              1. \u4f7f\u7528pop()<\/code>\u65b9\u6cd5<\/li>\n<\/ol>\n
                                pop()<\/code>\u65b9\u6cd5\u6839\u636e\u952e\u5220\u9664\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\uff0c\u5e76\u8fd4\u56de\u88ab\u5220\u9664\u7684\u503c\uff1a<\/p>\n<\/p>\n
                                person_info = {'name': 'Alice', 'age': 28, 'occupation': 'Data Scientist'}<\/p>\n
                                age = person_info.pop('age')<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                \u8fd9\u79cd\u65b9\u6cd5\u5220\u9664\u4e86person_info<\/code>\u5b57\u5178\u4e2d\u7684age<\/code>\u952e\uff0c\u5e76\u8fd4\u56de\u5176\u503c\u3002<\/p>\n<\/p>\n
                                  \n
                                1. \u4f7f\u7528del<\/code>\u5173\u952e\u5b57<\/li>\n<\/ol>\n
                                  del<\/code>\u5173\u952e\u5b57\u53ef\u4ee5\u6839\u636e\u952e\u5220\u9664\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\uff1a<\/p>\n<\/p>\n
                                  person_info = {'name': 'Alice', 'age': 28, 'occupation': 'Data Scientist'}<\/p>\n
                                  del person_info['age']<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                  \u8fd9\u79cd\u65b9\u6cd5\u5220\u9664\u4e86person_info<\/code>\u5b57\u5178\u4e2d\u7684age<\/code>\u952e\u3002<\/p>\n<\/p>\n
                                  \u4e5d\u3001\u5b57\u5178\u7684\u5176\u4ed6\u64cd\u4f5c<\/p>\n<\/p>\n
                                  \u9664\u4e86\u63d2\u5165\u3001\u66f4\u65b0\u548c\u5220\u9664\u952e\u503c\u5bf9\uff0cPython\u5b57\u5178\u8fd8\u652f\u6301\u5176\u4ed6\u591a\u79cd\u64cd\u4f5c\uff0c\u5305\u62ec\u904d\u5386\u3001\u67e5\u627e\u548c\u590d\u5236\u7b49\u3002<\/p>\n<\/p>\n
                                    \n
                                  1. \u904d\u5386\u5b57\u5178<\/li>\n<\/ol>\n
                                    \u53ef\u4ee5\u4f7f\u7528for<\/code>\u5faa\u73af\u904d\u5386\u5b57\u5178\u4e2d\u7684\u952e\u548c\u503c\uff1a<\/p>\n<\/p>\n
                                    person_info = {'name': 'Alice', 'age': 28, 'occupation': 'Data Scientist'}<\/p>\n
                                    for key, value in person_info.items():<\/p>\n
                                        print(f"{key}: {value}")<\/p>\n
                                    <\/code><\/pre>\n<\/p>\n
                                    \u8fd9\u79cd\u65b9\u6cd5\u904d\u5386person_info<\/code>\u5b57\u5178\u4e2d\u7684\u6240\u6709\u952e\u503c\u5bf9\uff0c\u5e76\u6253\u5370\u5b83\u4eec\u3002<\/p>\n<\/p>\n
                                      \n
                                    1. \u67e5\u627e\u952e\u548c\u503c<\/li>\n<\/ol>\n
                                      \u53ef\u4ee5\u4f7f\u7528in<\/code>\u5173\u952e\u5b57\u68c0\u67e5\u5b57\u5178\u4e2d\u662f\u5426\u5305\u542b\u67d0\u4e2a\u952e\uff1a<\/p>\n<\/p>\n
                                      person_info = {'name': 'Alice', 'age': 28, 'occupation': 'Data Scientist'}<\/p>\n
                                      if 'age' in person_info:<\/p>\n
                                          print(f"Age: {person_info['age']}")<\/p>\n
                                      <\/code><\/pre>\n<\/p>\n
                                      \u8fd9\u79cd\u65b9\u6cd5\u68c0\u67e5person_info<\/code>\u5b57\u5178\u4e2d\u662f\u5426\u5305\u542bage<\/code>\u952e\uff0c\u5e76\u6253\u5370\u5176\u503c\u3002<\/p>\n<\/p>\n
                                        \n
                                      1. \u590d\u5236\u5b57\u5178<\/li>\n<\/ol>\n
                                        \u53ef\u4ee5\u4f7f\u7528copy()<\/code>\u65b9\u6cd5\u521b\u5efa\u5b57\u5178\u7684\u526f\u672c\uff1a<\/p>\n<\/p>\n
                                        person_info = {'name': 'Alice', 'age': 28, 'occupation': 'Data Scientist'}<\/p>\n
                                        person_info_copy = person_info.copy()<\/p>\n
                                        <\/code><\/pre>\n<\/p>\n
                                        \u8fd9\u79cd\u65b9\u6cd5\u521b\u5efa\u4e86person_info<\/code>\u5b57\u5178\u7684\u526f\u672cperson_info_copy<\/code>\u3002<\/p>\n<\/p>\n
                                        \u603b\u7ed3<\/p>\n<\/p>\n
                                        \u5728Python\u4e2d\uff0c\u4f7f\u7528\u5b57\u5178\u5b58\u50a8\u6570\u636e\u63d0\u4f9b\u4e86\u4e00\u79cd\u9ad8\u6548\u3001\u7075\u6d3b\u7684\u65b9\u5f0f\u6765\u7ec4\u7ec7\u548c\u7ba1\u7406\u6570\u636e\u3002\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u63d2\u5165\u3001\u66f4\u65b0\u548c\u5220\u9664\u952e\u503c\u5bf9\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\uff0c\u53ef\u4ee5\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u66f4\u597d\u5730\u5904\u7406\u6570\u636e\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002<\/p>\n<\/p>\n
                                        \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                         \u5982\u4f55\u5728Python\u5b57\u5178\u4e2d\u5b58\u50a8\u6570\u5b57\uff1f<\/strong>
                                        \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5c06\u6570\u5b57\u4f5c\u4e3a\u952e\u6216\u503c\u5b58\u50a8\u5728\u5b57\u5178\u4e2d\u3002\u5b57\u5178\u7684\u57fa\u672c\u8bed\u6cd5\u4e3adict = {key: value}<\/code>\uff0c\u5176\u4e2dkey<\/code>\u53ef\u4ee5\u662f\u4efb\u4f55\u4e0d\u53ef\u53d8\u7c7b\u578b\uff08\u5982\u6570\u5b57\u3001\u5b57\u7b26\u4e32\u3001\u5143\u7ec4\u7b49\uff09\uff0c\u800cvalue<\/code>\u53ef\u4ee5\u662f\u4efb\u4f55\u7c7b\u578b\u3002\u6bd4\u5982\uff0c\u4f60\u53ef\u4ee5\u8fd9\u6837\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff1amy_dict = {1: 'one', 2: 'two', 3: 3}<\/code>\uff0c\u8fd9\u91cc\u7684\u6570\u5b571\u30012\u548c3\u662f\u952e\uff0c\u5bf9\u5e94\u7684\u503c\u5206\u522b\u662f\u5b57\u7b26\u4e32\u548c\u6570\u5b57\u3002<\/p>\n
                                        \u5b57\u5178\u4e2d\u53ef\u4ee5\u5b58\u50a8\u91cd\u590d\u7684\u6570\u5b57\u5417\uff1f<\/strong>
                                        \u5728\u5b57\u5178\u4e2d\uff0c\u952e\u662f\u552f\u4e00\u7684\uff0c\u56e0\u6b64\u4e0d\u80fd\u6709\u91cd\u590d\u7684\u952e\u3002\u5982\u679c\u4f60\u5c1d\u8bd5\u5c06\u91cd\u590d\u7684\u952e\u6dfb\u52a0\u5230\u5b57\u5178\u4e2d\uff0c\u540e\u9762\u7684\u503c\u4f1a\u8986\u76d6\u524d\u9762\u7684\u503c\u3002\u4e0d\u8fc7\uff0c\u5b57\u5178\u7684\u503c\u53ef\u4ee5\u662f\u91cd\u590d\u7684\uff0c\u5373\u540c\u4e00\u4e2a\u503c\u53ef\u4ee5\u5bf9\u5e94\u591a\u4e2a\u952e\u3002\u4f8b\u5982\uff1amy_dict = {1: 'apple', 2: 'banana', 3: 'apple'}<\/code>\uff0c\u8fd9\u91cc\u6570\u5b573\u7684\u503c\u4e0e\u6570\u5b571\u76f8\u540c\uff0c\u4f46\u5b83\u4eec\u5404\u81ea\u7684\u952e\u4e0d\u540c\u3002<\/p>\n
                                        \u5982\u4f55\u66f4\u65b0\u5b57\u5178\u4e2d\u5b58\u50a8\u7684\u6570\u5b57\uff1f<\/strong>
                                        \u8981\u66f4\u65b0\u5b57\u5178\u4e2d\u7684\u503c\uff0c\u53ea\u9700\u4f7f\u7528\u5bf9\u5e94\u7684\u952e\u8fdb\u884c\u8d4b\u503c\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u628a\u952e\u4e3a2\u7684\u503c\u66f4\u65b0\u4e3a\u6570\u5b575\uff0c\u53ef\u4ee5\u8fd9\u6837\u505a\uff1amy_dict[2] = 5<\/code>\u3002\u8fd9\u5c06\u628a\u539f\u6765\u7684'banana'\u66ff\u6362\u4e3a5\uff0c\u5b57\u5178\u5c06\u53d8\u4e3a{1: 'apple', 2: 5, 3: 'apple'}<\/code>\u3002\u5982\u679c\u952e\u4e0d\u5b58\u5728\uff0c\u5219\u4f1a\u65b0\u589e\u4e00\u4e2a\u952e\u503c\u5bf9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5c06\u6570\u636e\u5b58\u50a8\u5230\u5b57\u5178\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u952e\u503c\u5bf9\u3001\u4f7f\u7528update()\u65b9\u6cd5\u3001\u901a\u8fc7\u8fed\u4ee3\u63d2\u5165\u3001\u4ece\u5217\u8868\u4e2d\u521b\u5efa\u5b57\u5178\u3001 […]","protected":false},"author":3,"featured_media":1034441,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1034427"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1034427"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1034427\/revisions"}],"predecessor-version":[{"id":1034442,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1034427\/revisions\/1034442"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1034441"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1034427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1034427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1034427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}