{"id":162549,"date":"2020-10-01T09:50:11","date_gmt":"2020-10-01T01:50:11","guid":{"rendered":"http:\/\/4563.org\/?p=162549"},"modified":"2020-10-01T09:50:11","modified_gmt":"2020-10-01T01:50:11","slug":"%e6%9c%89%e6%b2%a1%e6%9c%89%e6%af%94-pandas-numpy-%e8%bd%bb%e9%87%8f%e7%9a%84%e4%ba%8c%e7%bb%b4%e6%95%b0%e7%bb%84%e6%a8%a1%e5%9d%97","status":"publish","type":"post","link":"http:\/\/4563.org\/?p=162549","title":{"rendered":"\u6709\u6ca1\u6709\u6bd4 pandas, numpy \u8f7b\u91cf\u7684\u4e8c\u7ef4\u6570\u7ec4\u6a21\u5757"},"content":{"rendered":"
\n
\n
\n

\u6709\u6ca1\u6709\u6bd4 pandas, numpy \u8f7b\u91cf\u7684\u4e8c\u7ef4\u6570\u7ec4\u6a21\u5757 <\/h1>\n

<\/p>\n

\n
\u8cc7\u6df1\u5927\u4f6c : imn1 <\/span> <\/i> 0<\/span> <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n
\u5e38\u7528\u4e8c\u7ef4\u6570\u7ec4\uff0c\u6709\u65f6\u6309\u884c\u8bfb\uff0c\u6709\u65f6\u6309\u5217\u8bfb
\u7c7b\u4f3c pandas.DataFrame.loc\/iloc\/at<\/p>\n

\u5355\u5143\u4e0d\u591a\uff0c\u51e0\u5341\u5230\u51e0\u767e\uff0c\u8ba1\u7b97\u4e5f\u4e0d\u591a\uff0c\u6709\u65f6\u53ea\u662f\u8bfb\u53d6 \/\u66f4\u6539\u800c\u5df2
\u5982\u679c\u7528\u5185\u7f6e\u5217\u8868\uff0c\u5207\u6362\u884c\u5217\u65b9\u5f0f\u8bfb\u53d6\uff0c\u5f80\u5f80\u8981 zip \u4e00\u904d\uff0c\u6216\u8005\u53e6\u5916\u4fdd\u5b58\u4e00\u4efd\u65cb\u8f6c\uff08\u884c\u5217\u4ea4\u6362\uff09\u7684\u6570\u7ec4
pandas\/numpy \u611f\u89c9\u592a\u91cd\uff0c\u6ca1\u6709\u4ec0\u4e48\u8ba1\u7b97\u7684\u8bdd\uff0c\u4e0d\u60f3\u8f6c\u5230\u4ed6\u4eec\u7684\u683c\u5f0f\uff0c\u7136\u540e\u53c8\u8f6c\u51fa\u6765\uff0c\u76f4\u63a5\u7528 dataframe \u4f20\u53c2\u4e5f\u662f\u592a\u91cd<\/p>\n

\u60f3\u627e\u4e2a\u8f7b\u91cf\u4e00\u70b9\u7684\u6a21\u5757\u8bb0\u5f55\u4e8c\u7ef4\u6570\u7ec4\uff0c\u65b9\u4fbf\u81ea\u7531\u6309\u884c\u6216\u6309\u5217\u8bfb\u53d6
namedtuple \u683c\u5f0f\u672c\u6765\u4e5f\u4e0d\u9519\uff0c\u95ee\u9898\u5b83\u662f tuple\uff0c\u6539\u53d8\u4e00\u4e2a\u5355\u5143\u7684\u503c\u5c31\u8981\u4e00\u6b21\u8f6c\u6362\uff0c\u4e5f\u4e0d\u9002\u7528 sort<\/p>\n

\u6ca1\u6709\u7684\u8bdd\uff0c\u6253\u7b97\u81ea\u5df1\u5199\u4e2a\u7c7b\u7b97\u4e86 <\/p><\/div>\n

\u5927\u4f6c\u6709\u8a71\u8aaa<\/b> (17<\/span>) <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n
    \n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : TimePPT <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u5982\u679c\u8003\u91cf\u8ba1\u7b97\u6548\u7387\u7684\u8bdd\uff0cnumpy \u5728 python \u91cc\u662f\u738b\u8005\u4e86 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : wuwukai007 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u662f\u8981\u6253\u5305\u5417\uff0c\u8003\u8651\u5927\u5c0f <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : imn1 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @wuwukai007 #2
    \u9996\u5148\uff0c\u6682\u4e0d\u8003\u8651\u4e0d\u6253\u5305
    \u5176\u6b21\uff0c\u5982\u679c\u8ba1\u7b97\u90e8\u5206\u4e0d\u591a\u7684\uff0c\u8fd9\u4e2a\u6a21\u5757\u4e5f\u4e0d\u4f1a\u592a\u5de8\u578b\u5427\uff1f <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : shm7 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @TimePPT \u53ef\u80fd lz \u6ca1\u6cd5\u7406\u89e3 numpy \u4e3a\u4ec0\u4e48\u9ad8\u6548\u7684\u539f\u56e0\u3002 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : wuwukai007 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u4e0d\u6253\u5305\u5c31\u88c5\u4e00\u4e2a\u5417\uff0c\u96be\u9053\u516c\u53f8\u5185\u7f51\u6ca1\u6709 pip \u6e90\u4e0d\u597d\u88c5\uff1f <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : imn1 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @wuwukai007 #4
    \u90a3\u6211\u6ca1\u7406\u89e3\u5bf9\u4f60\u8bf4\u7684\u8bdd
    \u6211\u4ee5\u4e3a\u4f60\u8bf4\u9879\u76ee\u6700\u540e\u8981\u6253\u5305\u7ed9\u522b\u4eba\u7528<\/p>\n

    @shm7
    @TimePPT
    Numpy \u6211\u77e5\u9053\uff0c\u5e38\u7528\u6765\u8ba1\u7b97\u8bc1\u5238\uff0c\u548c\u5546\u4e1a\u6570\u636e\u5206\u6790
    \u53ea\u662f\u6709\u4e9b\u573a\u5408\uff0c\u8ba1\u7b97\u5f88\u5c11\u7684\uff0c\u63d0\u53d6\u6570\u636e\u7684\u60c5\u51b5\u591a
    \u4e3e\u4e2a\u4f8b\u5b50
    \u6709\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u8981\u63d0\u53d6\u67d0\u4e00\u5217 1\/3\/5\/7 \u7684\u6570\u636e\uff0c\u5982\u679c pandas\/numpy \u5f88\u7b80\u5355\uff1b\u5982\u679c\u53ea\u662f list\uff0c\u8981\u4e48\u5199\u4e2a\u8868\u8fbe\u5f0f\uff0c\u8981\u4e48 zip \u4e00\u6b21\uff0c\u53d6\u51fa\u8fd9\u5217\u518d\u63d0\u53d6
    \u8fd9\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u5230\u5176\u4ed6\u5730\u65b9\u63d0\u53d6\u65b9\u5f0f\u53ef\u80fd\u4e0d\u540c\uff0c\u6240\u4ee5\u8981\u539f\u6837\u4f20\u9012
    \u8fd9\u4e9b\u573a\u5408\u540e\u7eed\u8ba1\u7b97\u5f88\u5c11\uff0c\u90e8\u5206\u53ea\u662f\u63d0\u53d6\u5b8c\u5c31 print \u4e86\uff0c\u6ca1\u6709\u8ba1\u7b97\uff0c\u6240\u4ee5\u4e0d\u60f3\u6bcf\u4e2a py \u90fd import \u4e00\u628a\u725b\u5200\uff0c\u6216\u8005\u628a dataframe \u4f5c\u4e3a\u53c2\u6570\u4f20\u9012\uff0c\u5e0c\u671b\u4e2d\u95f4\u8fc7\u7a0b\u8f7b\u91cf\u4e00\u70b9\uff0c\u53ea\u662f\u5904\u7406\u6740\u9e21\u8fd9\u70b9\u5c0f\u4e8b\u800c\u5df2<\/p>\n

    \u8fd9\u53ea\u662f\u4e2a\u4f8b\u5b50\uff0c\u8fd8\u6709\u5f88\u591a\u7c7b\u4f3c\u573a\u666f
    \u6211\u95ee\u95ee\u6709\u6ca1\u6709\u6211\u4e0d\u77e5\u9053\u7684\u6a21\u5757\u53ef\u4ee5\u505a\u8fd9\u4e8b\uff0c\u6ca1\u6709\u7684\u8bdd\uff0c\u6211\u81ea\u5df1\u5f04\u4e2a\u7c7b\uff0c\u641e\u51e0\u4e2a\u95ed\u5305\u5199\u6210\u65b9\u6cd5\uff0c\u5c31\u4e0d\u7528\u5404\u4e2a\u573a\u666f\u90fd\u591a\u5199\u4e00\u4e24\u53e5 zip\/for \u8fd9\u6837\u7684\u91cd\u590d\u52b3\u52a8\u4e86 <\/div>\n<\/p><\/div>\n<\/li>\n

  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : shm7 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @imn1 \u6211\u8fd8\u662f\u7528\u7684\u592a\u5c11\u4e86\uff0c\u53ea\u6709 3 \u5e74\uff0c\u4e0d\u592a\u660e\u767d numpy \u88ab\u79f0\u4e3a\u91cd\u7684\u5730\u65b9\u5728\u54ea\u3002\u4e5f\u4e0d\u7406\u89e3 2 \u7ef4\u6570\u7ec4\u53d6 1357 \u6709\u5565\u9ebb\u70e6\u3002 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : iConnect <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u5c11\u4e86 numpy\uff0cpy \u4e5f\u5230\u4e0d\u4e86\u4eca\u5929\u7684\u5730\u4f4d\u3002\u4e0d\u8981\u5acc\u5f03 numpy\uff0c\u8fd9\u662f\u9876\u6881\u67f1 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : imn1 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @shm7 #7
    \u4e0d\u96be\uff0c\u4e5f\u4e0d\u9ebb\u70e6\uff0c\u80fd\u5199
    \u4f8b\u5982
    a=pandas.DataFrame([[1,1],[1,3],[1,5],[1,7],[1,9]])
    a.iloc[[1,3],1]=[2,4]<\/p>\n

    pandas \u8fd9\u53e5\u8d4b\u503c\u76f2\u5199\u5c31\u884c\uff0c\u4e8c\u7ef4 list \u5c31\u8981\u7a0d\u5fae\u8f6c\u4e00\u4e0b\u8111\u5b50
    \u6211\u53ea\u662f\u5e0c\u671b\u65e0\u8111\u5957\u7528 [1,3],1\uff0c\u61d2\u5f97\u60f3\u8868\u8fbe\u5f0f\u600e\u4e48\u5199\uff0c\u5982\u679c\u573a\u666f\u591a\u5c31\u6bcf\u4e2a\u8868\u8fbe\u5f0f\u90fd\u8981\u591a\u60f3\u4e00\u70b9\u70b9\uff0c\u5199\u6210\u95ed\u5305\u4ee5\u540e\u5c31\u53ef\u4ee5\u76f2\u5199\u4e86<\/p>\n

    @iConnect #8
    \u4e0d\u5acc\u5f03\uff0c\u79bb\u5f00 numpy \u6211\u6050\u6015\u751f\u8ba1\u90fd\u6210\u95ee\u9898
    \u53ea\u662f\u6709\u4e9b\u573a\u5408\uff0c\u8c61\u4e0a\u9762\u8fd9\u53e5 a.iloc\uff0c\u53ef\u80fd\u6574\u4e2a py \u6570\u767e\u884c\uff0c\u53ea\u6709\u8fd9\u4e24\u884c\u7528\u5230 pandas\uff0c\u4e3a\u4e86\u8fd9\u4e2a\u8d4b\u503c\u4e0d\u503c\u5f97\uff0c\u6211\u5b81\u613f\u591a\u5199\u4e00\u4e24\u884c\u7701\u4e0b\u8fd9\u4e2a import \u7684\u65f6\u95f4\u548c\u5185\u5b58
    \u8fd8\u662f\u90a3\u53e5\uff0c\u5982\u679c\u6709\u8f7b\u4fbf\u7684\u6211\u8bd5\u8bd5\uff0c\u6ca1\u6709\u6211\u5c31\u53e6\u60f3\u529e\u6cd5 <\/div>\n<\/p><\/div>\n<\/li>\n

  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : TimePPT <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @imn1 \u4e86\u89e3\u4f60\u7684\u51fa\u53d1\u70b9\u4e86\uff0c\u786e\u5b9e\u5982\u679c\u4ec5\u4ec5\u662f\u6709\u9650\u64cd\u4f5c\u7684\u8bdd\u7528 numpy \u6709\u70b9\u513f\u5927\u70ae\u8f70\u868a\u5b50\u4e86\u3002 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : minami <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u641c\u4e86\u4e00\u4e0b\uff0c\u8fd9\u4e2a\u4ed3\u5e93\u53ef\u80fd\u6ee1\u8db3\u4f60\u7684\u9700\u6c42\uff0c\u7eaf python \u5b9e\u73b0\u7684 ndarray\uff1awadetb\/tinynumpy <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : crclz <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u6d01\u7656 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : Huelse <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u6216\u8005\u81ea\u5df1\u7528 C \u5199\u7136\u540e\u6253\u5305\u6210\u52a8\u6001\u5e93\uff0c\u5b8c\u5168\u81ea\u5b9a\u4e49\uff0c\u5f53\u7136\u8981\u5c0f\u5fc3\u5185\u5b58\u95ee\u9898 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : neoblackcap <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    numpy \u5728\u5b9e\u9645\u4f1a\u7528\u5230 blas \u7684\u76f8\u5173\u5b9e\u73b0\u3002\u5f88\u591a\u65f6\u5019\u54ea\u6015\u4f60\u8ba4\u4e3a\u662f\u8bfb\u53d6\u7684\u64cd\u4f5c\uff0c\u5b9e\u9645\u4e0a\u53ef\u80fd\u662f\u5f53\u77e9\u9635\u53d8\u6362\u7684\u64cd\u4f5c\u3002\u4f1a\u6709\u5bf9\u5e94\u7684\u52a0\u901f\u7684\u3002\u4e00\u822c\u4eba\u5199\u4e0d\u51fa\u90a3\u6837\u9ad8\u6548\u7684\u4ee3\u7801\u3002\u5982\u679c\u4f60\u89c9\u5f97\u6548\u7387\u6ca1\u5565\u6240\u8c13\uff0c\u5176\u5b9e\u81ea\u5df1\u7528 C \u5199\u4e00\u4e2a\u4e5f\u53ef\u4ee5\u3002\u5173\u952e\u8fd8\u662f\u770b\u4f60\u5b9e\u9645\u7684\u9700\u6c42 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : krixaar <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @imn1 #6 > \u6709\u4e2a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u8981\u63d0\u53d6\u67d0\u4e00\u5217 1\/3\/5\/7 \u7684\u6570\u636e
    \u6362\u4e2a\u601d\u8def\uff0c\u201c\u6709\u5f20\u6570\u636e\u5e93\u8868\uff0c\u8981\u63d0\u53d6\u67d0\u4e00\u5b57\u6bb5 1\/3\/5\/7 \u884c\u7684\u6570\u636e\u201d<\/p>\n

    > \u4e0d\u60f3\u6bcf\u4e2a py \u90fd import \u4e00\u628a\u725b\u5200\uff0c\u6216\u8005\u628a dataframe \u4f5c\u4e3a\u53c2\u6570\u4f20\u9012\uff0c\u5e0c\u671b\u4e2d\u95f4\u8fc7\u7a0b\u8f7b\u91cf\u4e00\u70b9
    \u53c2\u6570\u53ea\u4f20\u4e00\u4e2a\u8868\u540d\u591f\u8f7b\u91cf\u5417<\/p>\n

    > \u60f3\u627e\u4e2a\u8f7b\u91cf\u4e00\u70b9\u7684\u6a21\u5757
    \u6807\u51c6\u5e93 import sqlite3\uff0c\u90fd\u4e0d\u7528\u5b89\u88c5\u4e86 <\/div>\n<\/p><\/div>\n<\/li>\n

  • \n
    \n
    \n
    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : imn1 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @krixaar #15
    \u5185\u5b58\u8868\uff1f
    \u6253\u5f00\u65b0\u601d\u8def\uff0c\u8c22\u8c22 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : IgniteWhite <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    pandas \u57fa\u4e8e numpy<\/p>\n

    numpy \u7684 array \u90fd\u662f\u6570\u5b57\uff0c\u800c\u4e14\u5728\u5185\u5b58\u91cc\u8fde\u7eed\u5360\u7528\u3002\u8fd9\u4e24\u70b9\u8981\u6bd4 python \u81ea\u5df1\u7684 list \u8f7b\u91cf\u591a\u4e86\u3002\u4f60\u8bd5\u8bd5\u770b size\uff0c\u6bd4\u4e00\u6bd4\u5c31\u77e5\u9053\u4e86 <\/p><\/div>\n<\/p><\/div>\n<\/li>\n

  • \n","protected":false},"excerpt":{"rendered":"

    \u6709\u6ca1\u6709\u6bd4 pandas, nump…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[],"_links":{"self":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/162549"}],"collection":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=162549"}],"version-history":[{"count":0,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/162549\/revisions"}],"wp:attachment":[{"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=162549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=162549"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=162549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}