{"id":1054472,"date":"2024-12-31T14:42:38","date_gmt":"2024-12-31T06:42:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1054472.html"},"modified":"2024-12-31T14:42:40","modified_gmt":"2024-12-31T06:42:40","slug":"python%e5%a6%82%e4%bd%95%e5%8e%bb%e6%8e%89%e5%88%97%e8%a1%a8%e4%b8%ad%e5%88%97%e8%a1%a8%e7%9a%84%e6%8b%ac%e5%8f%b7","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1054472.html","title":{"rendered":"python\u5982\u4f55\u53bb\u6389\u5217\u8868\u4e2d\u5217\u8868\u7684\u62ec\u53f7"},"content":{"rendered":"

\"python\u5982\u4f55\u53bb\u6389\u5217\u8868\u4e2d\u5217\u8868\u7684\u62ec\u53f7\"<\/p>\n

\u5728Python\u4e2d\uff0c\u5982\u679c\u4f60\u60f3\u8981\u53bb\u6389\u5217\u8868\u4e2d\u5d4c\u5957\u5217\u8868\u7684\u62ec\u53f7\uff0c\u53ef\u4ee5\u5c06\u5d4c\u5957\u5217\u8868\u4e2d\u7684\u5143\u7d20\u63d0\u53d6\u51fa\u6765\u5e76\u653e\u5165\u5230\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u4e2d\u3002\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u3001\u4f7f\u7528itertools.chAI<\/a>n<\/code>\u3001\u4f7f\u7528sum<\/code>\u51fd\u6570<\/strong>\u662f\u51e0\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5e76\u4e14\u8ba8\u8bba\u5176\u4ed6\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc<\/h3>\n<\/p>\n

\u5217\u8868\u63a8\u5bfc\u662f\u4e00\u79cd\u7b80\u6d01\u4e14\u9ad8\u6548\u7684\u65b9\u6cd5\uff0c\u7528\u6765\u751f\u6210\u65b0\u7684\u5217\u8868\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u6765\u904d\u5386\u5d4c\u5957\u5217\u8868\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5b50\u5217\u8868\uff0c\u5e76\u5c06\u5176\u4e2d\u7684\u5143\u7d20\u6dfb\u52a0\u5230\u65b0\u7684\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n

nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]<\/p>\n
flattened_list = [item for sublist in nested_list for item in sublist]<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u5217\u8868\u63a8\u5bfc\u5f0f\u904d\u5386\u4e86nested_list<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5b50\u5217\u8868sublist<\/code>\uff0c\u5e76\u5c06\u6bcf\u4e2asublist<\/code>\u4e2d\u7684\u6bcf\u4e2aitem<\/code>\u63d0\u53d6\u51fa\u6765\uff0c\u6700\u7ec8\u653e\u5165\u5230flattened_list<\/code>\u4e2d\u3002\u8fd9\u6837\u5c31\u5b9e\u73b0\u4e86\u53bb\u6389\u5d4c\u5957\u5217\u8868\u7684\u62ec\u53f7\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528itertools.chain<\/code><\/h3>\n<\/p>\n
itertools<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e9b\u7528\u4e8e\u8fed\u4ee3\u64cd\u4f5c\u7684\u5de5\u5177\uff0c\u5176\u4e2d\u7684chain<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u591a\u4e2a\u8fed\u4ee3\u5bf9\u8c61\u94fe\u63a5\u5728\u4e00\u8d77\uff0c\u4ece\u800c\u8fbe\u5230\u6241\u5e73\u5316\u5d4c\u5957\u5217\u8868\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n
import itertools<\/p>\n
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]<\/p>\n
flattened_list = list(itertools.chain(*nested_list))<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0citertools.chain<\/code>\u65b9\u6cd5\u63a5\u53d7\u591a\u4e2a\u53ef\u8fed\u4ee3\u5bf9\u8c61\u5e76\u5c06\u5b83\u4eec\u8fde\u63a5\u8d77\u6765\u3002\u4f7f\u7528*nested_list<\/code>\u5c06nested_list<\/code>\u4e2d\u7684\u5b50\u5217\u8868\u89e3\u5305\u4e3a\u591a\u4e2a\u53c2\u6570\u4f20\u9012\u7ed9chain<\/code>\u65b9\u6cd5\uff0c\u6700\u540e\u5c06\u7ed3\u679c\u8f6c\u6362\u4e3a\u5217\u8868\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528sum<\/code>\u51fd\u6570<\/h3>\n<\/p>\n
sum<\/code>\u51fd\u6570\u901a\u5e38\u7528\u4e8e\u6570\u503c\u6c42\u548c\uff0c\u4f46\u5728\u5904\u7406\u5d4c\u5957\u5217\u8868\u65f6\uff0c\u4e5f\u53ef\u4ee5\u7528\u6765\u5b9e\u73b0\u6241\u5e73\u5316\u64cd\u4f5c\u3002\u901a\u8fc7\u6307\u5b9a\u521d\u59cb\u503c\u4e3a\u7a7a\u5217\u8868\uff0c\u53ef\u4ee5\u5c06\u5d4c\u5957\u5217\u8868\u4e2d\u7684\u5143\u7d20\u4f9d\u6b21\u6dfb\u52a0\u5230\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]<\/p>\n
flattened_list = sum(nested_list, [])<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0csum<\/code>\u51fd\u6570\u4ee5\u7a7a\u5217\u8868[]<\/code>\u4e3a\u521d\u59cb\u503c\uff0c\u4f9d\u6b21\u5c06nested_list<\/code>\u4e2d\u7684\u5b50\u5217\u8868\u76f8\u52a0\uff0c\u4ece\u800c\u5b9e\u73b0\u6241\u5e73\u5316\u6548\u679c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u9012\u5f52\u65b9\u6cd5<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u5d4c\u5957\u5217\u8868\u7ed3\u6784\uff0c\u53ef\u4ee5\u4f7f\u7528\u9012\u5f52\u65b9\u6cd5\u6765\u5904\u7406\u3002\u9012\u5f52\u65b9\u6cd5\u4f1a\u904d\u5386\u5217\u8868\u7684\u6bcf\u4e00\u4e2a\u5143\u7d20\uff0c\u5982\u679c\u5143\u7d20\u662f\u5217\u8868\uff0c\u5219\u9012\u5f52\u8c03\u7528\u81ea\u8eab\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
def flatten(nested_list):<\/p>\n
    flattened_list = []<\/p>\n
    for item in nested_list:<\/p>\n
        if isinstance(item, list):<\/p>\n
            flattened_list.extend(flatten(item))<\/p>\n
        else:<\/p>\n
            flattened_list.append(item)<\/p>\n
    return flattened_list<\/p>\n
nested_list = [[1, [2, 3]], [4, 5], [6, [7, 8]]]<\/p>\n
flattened_list = flatten(nested_list)<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cflatten<\/code>\u51fd\u6570\u9012\u5f52\u5730\u904d\u5386nested_list<\/code>\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5143\u7d20\u3002\u5982\u679c\u5143\u7d20\u662f\u5217\u8868\uff0c\u9012\u5f52\u8c03\u7528flatten<\/code>\u51fd\u6570\uff1b\u5426\u5219\uff0c\u5c06\u5143\u7d20\u6dfb\u52a0\u5230flattened_list<\/code>\u4e2d\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528NumPy\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u7684\u5d4c\u5957\u5217\u8868\u4e3b\u8981\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u8003\u8651\u4f7f\u7528NumPy\u5e93\u3002NumPy\u7684flatten<\/code>\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u591a\u7ef4\u6570\u7ec4\u5c55\u5e73\u6210\u4e00\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]<\/p>\n
flattened_list = np.array(nested_list).flatten().tolist()<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7np.array<\/code>\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528flatten<\/code>\u65b9\u6cd5\u5c06\u5176\u5c55\u5e73\u6210\u4e00\u7ef4\u6570\u7ec4\uff0c\u6700\u540e\u4f7f\u7528tolist<\/code>\u65b9\u6cd5\u5c06\u5176\u8f6c\u6362\u4e3a\u666e\u901a\u5217\u8868\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528functools.reduce<\/code><\/h3>\n<\/p>\n
functools<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86reduce<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u4e00\u4e2a\u4e8c\u5143\u51fd\u6570\u5e94\u7528\u4e8e\u5e8f\u5217\u4e2d\u7684\u5143\u7d20\uff0c\u4ece\u800c\u5c06\u5176\u7f29\u51cf\u4e3a\u5355\u4e2a\u503c\u3002\u7ed3\u5408operator.add<\/code>\uff0c\u53ef\u4ee5\u5b9e\u73b0\u6241\u5e73\u5316\u5d4c\u5957\u5217\u8868\u3002<\/p>\n<\/p>\n
import functools<\/p>\n
import operator<\/p>\n
nested_list = [[1, 2, 3], [4, 5], [6, 7, 8]]<\/p>\n
flattened_list = functools.reduce(operator.iadd, nested_list, [])<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0creduce<\/code>\u51fd\u6570\u5c06operator.iadd<\/code>\uff08\u5bf9\u5e94\u4e8e+=<\/code>\u64cd\u4f5c\u7b26\uff09\u5e94\u7528\u4e8enested_list<\/code>\u4e2d\u7684\u6bcf\u4e2a\u5b50\u5217\u8868\uff0c\u4ece\u800c\u5c06\u5176\u5c55\u5e73\u6210\u4e00\u4e2a\u5355\u4e00\u5217\u8868\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528yield<\/code>\u5173\u952e\u5b57\u751f\u6210\u5668<\/h3>\n<\/p>\n
\u751f\u6210\u5668\u662f\u4e00\u79cd\u8282\u7701\u5185\u5b58\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u9010\u4e2a\u751f\u6210\u6241\u5e73\u5316\u5217\u8868\u4e2d\u7684\u5143\u7d20\uff0c\u800c\u4e0d\u9700\u8981\u4e00\u6b21\u6027\u5c06\u6240\u6709\u5143\u7d20\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\u3002<\/p>\n<\/p>\n
def flatten_generator(nested_list):<\/p>\n
    for item in nested_list:<\/p>\n
        if isinstance(item, list):<\/p>\n
            yield from flatten_generator(item)<\/p>\n
        else:<\/p>\n
            yield item<\/p>\n
nested_list = [[1, [2, 3]], [4, 5], [6, [7, 8]]]<\/p>\n
flattened_list = list(flatten_generator(nested_list))<\/p>\n
print(flattened_list)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cflatten_generator<\/code>\u662f\u4e00\u4e2a\u751f\u6210\u5668\u51fd\u6570\uff0c\u901a\u8fc7yield<\/code>\u9010\u4e2a\u751f\u6210\u5d4c\u5957\u5217\u8868\u4e2d\u7684\u5143\u7d20\u3002\u5982\u679c\u5143\u7d20\u662f\u5217\u8868\uff0c\u9012\u5f52\u8c03\u7528\u81ea\u8eab\uff1b\u5426\u5219\uff0cyield<\/code>\u8be5\u5143\u7d20\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u3001\u4f7f\u7528itertools.chain<\/code>\u3001\u4f7f\u7528sum<\/code>\u51fd\u6570<\/strong>\u662f\u4e09\u79cd\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u53bb\u6389\u5d4c\u5957\u5217\u8868\u62ec\u53f7\u7684\u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u8fd8\u6709\u9012\u5f52\u65b9\u6cd5\u3001NumPy\u5e93\u3001functools.reduce<\/code>\u4ee5\u53ca\u751f\u6210\u5668\u65b9\u6cd5\u7b49\u591a\u79cd\u65b9\u5f0f\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u548c\u573a\u666f\u3002\u5bf9\u4e8e\u7b80\u5355\u7684\u5d4c\u5957\u5217\u8868\uff0c\u5217\u8868\u63a8\u5bfc\u548citertools.chain<\/code>\u65b9\u6cd5\u5df2\u7ecf\u8db3\u591f\uff1b\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u5d4c\u5957\u7ed3\u6784\uff0c\u9012\u5f52\u65b9\u6cd5\u548c\u751f\u6210\u5668\u65b9\u6cd5\u5219\u66f4\u52a0\u7075\u6d3b\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3a\u6241\u5e73\u5217\u8868\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u6216\u5185\u7f6e\u7684itertools.chain<\/code>\u51fd\u6570\u6765\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3a\u6241\u5e73\u5217\u8868\u3002\u4e3e\u4e2a\u4f8b\u5b50\uff0c\u5982\u679c\u4f60\u6709\u4e00\u4e2a\u5217\u8868nested_list = [[1, 2], [3, 4], [5]]<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\u6241\u5e73\u5316\uff1a  <\/p>\n
flat_list = [item for sublist in nested_list for item in sublist]\n<\/code><\/pre>\n
\u6216\u8005\u4f7f\u7528itertools.chain<\/code>\uff1a  <\/p>\n
import itertools\nflat_list = list(itertools.chain.from_iterable(nested_list))\n<\/code><\/pre>\n
\u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u5305\u542b\u7a7a\u5b50\u5217\u8868\u7684\u60c5\u51b5\uff1f<\/strong>
\u5f53\u4f60\u5728\u5904\u7406\u5d4c\u5957\u5217\u8868\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u7a7a\u5b50\u5217\u8868\u3002\u4e3a\u4e86\u907f\u514d\u5728\u6241\u5e73\u5316\u8fc7\u7a0b\u4e2d\u4ea7\u751f\u591a\u4f59\u7684\u7a7a\u5143\u7d20\uff0c\u53ef\u4ee5\u5728\u6241\u5e73\u5316\u524d\u5148\u8fc7\u6ee4\u6389\u8fd9\u4e9b\u7a7a\u5b50\u5217\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
nested_list = [[1, 2], [], [3, 4], [], [5]]\nflat_list = [item for sublist in nested_list if sublist for item in sublist]\n<\/code><\/pre>\n
\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u6700\u7ec8\u7684\u6241\u5e73\u5217\u8868\u53ea\u5305\u542b\u6709\u6548\u7684\u5143\u7d20\u3002<\/p>\n
\u662f\u5426\u6709\u5176\u4ed6\u65b9\u6cd5\u53ef\u4ee5\u53bb\u6389\u5217\u8868\u4e2d\u5217\u8868\u7684\u62ec\u53f7\uff1f<\/strong>
\u9664\u4e86\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u548citertools.chain<\/code>\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528numpy<\/code>\u5e93\u6765\u5904\u7406\u5d4c\u5957\u5217\u8868\u3002\u5982\u679c\u4f60\u7684\u6570\u636e\u662f\u6570\u503c\u578b\uff0c\u53ef\u4ee5\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3anumpy<\/code>\u6570\u7ec4\uff0c\u7136\u540e\u518d\u5c06\u5176\u8f6c\u5316\u4e3a\u4e00\u7ef4\u6570\u7ec4\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
import numpy as np\nnested_list = [[1, 2], [3, 4], [5]]\nflat_array = np.array(nested_list).flatten()\nflat_list = flat_array.tolist()\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u5c24\u5176\u9002\u5408\u4e8e\u9700\u8981\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u60c5\u51b5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5982\u679c\u4f60\u60f3\u8981\u53bb\u6389\u5217\u8868\u4e2d\u5d4c\u5957\u5217\u8868\u7684\u62ec\u53f7\uff0c\u53ef\u4ee5\u5c06\u5d4c\u5957\u5217\u8868\u4e2d\u7684\u5143\u7d20\u63d0\u53d6\u51fa\u6765\u5e76\u653e\u5165\u5230\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u4e2d\u3002\u4f7f […]","protected":false},"author":3,"featured_media":1054488,"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\/1054472"}],"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=1054472"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054472\/revisions"}],"predecessor-version":[{"id":1054490,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054472\/revisions\/1054490"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1054488"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1054472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1054472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1054472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}