{"id":1004315,"date":"2024-12-27T10:25:16","date_gmt":"2024-12-27T02:25:16","guid":{"rendered":""},"modified":"2024-12-27T10:25:19","modified_gmt":"2024-12-27T02:25:19","slug":"python-%e5%a6%82%e4%bd%95%e6%89%93%e5%bc%80tsv%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1004315.html","title":{"rendered":"python \u5982\u4f55\u6253\u5f00tsv\u6587\u4ef6"},"content":{"rendered":"

\"python<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
Python\u6253\u5f00TSV\u6587\u4ef6\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001pandas\u5e93\u3001\u624b\u52a8\u89e3\u6790<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528pandas\u5e93<\/strong>\u662f\u6700\u4e3a\u7b80\u4fbf\u548c\u9ad8\u6548\u7684\u65b9\u5f0f\uff0c\u5c24\u5176\u5f53\u9700\u8981\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u65f6\u3002pandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u80fd\u591f\u8f7b\u677e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u64cd\u4f5cTSV\u6587\u4ef6\u3002\u901a\u8fc7pandas\u8bfb\u53d6TSV\u6587\u4ef6\u53ea\u9700\u8c03\u7528pandas.read_csv()<\/code>\u51fd\u6570\uff0c\u5e76\u6307\u5b9a\u5206\u9694\u7b26\u4e3a\u5236\u8868\u7b26\uff08\\t<\/code>\uff09\uff0c\u5373\u53ef\u5c06TSV\u6587\u4ef6\u52a0\u8f7d\u4e3aDataFrame\u5bf9\u8c61\uff0c\u65b9\u4fbf\u540e\u7eed\u5904\u7406\u548c\u5206\u6790\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5229\u7528pandas\u5e93\u5904\u7406TSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\n

\u4e00\u3001PANDAS\u5e93\u8bfb\u53d6TSV\u6587\u4ef6<\/p>\n<\/p>\n

pandas\u5e93\u662fPython\u6570\u636e\u5206\u6790\u7684\u5229\u5668\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u636e\u8bfb\u53d6\u548c\u64cd\u4f5c\u529f\u80fd\u3002\u8bfb\u53d6TSV\u6587\u4ef6\u65f6\uff0cpandas\u5e93\u7684read_csv<\/code>\u51fd\u6570\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5\u548c\u5bfc\u5165pandas\u5e93<\/strong><\/p>\n<\/p>\n

    \u5728\u4f7f\u7528pandas\u5e93\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u5982\u679c\u5c1a\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u5bfc\u5165pandas\u5e93\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u8bfb\u53d6TSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528pandas\u8bfb\u53d6TSV\u6587\u4ef6\u65f6\uff0c\u53ea\u9700\u6307\u5b9a\u5206\u9694\u7b26\u4e3a\u5236\u8868\u7b26\uff08\\t<\/code>\uff09\u3002\u5047\u8bbe\u6709\u4e00\u4e2a\u540d\u4e3adata.tsv<\/code>\u7684\u6587\u4ef6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u5b83\uff1a<\/p>\n<\/p>\n
    df = pd.read_csv('data.tsv', sep='\\t')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cTSV\u6587\u4ef6\u7684\u5185\u5bb9\u5c31\u88ab\u8bfb\u53d6\u4e3a\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0c\u65b9\u4fbf\u8fdb\u884c\u5404\u79cd\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u57fa\u672c\u6570\u636e\u64cd\u4f5c<\/strong><\/p>\n<\/p>\n
    \u8bfb\u53d6TSV\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u63d0\u4f9b\u7684\u4e30\u5bcc\u529f\u80fd\u5bf9\u6570\u636e\u8fdb\u884c\u64cd\u4f5c\u3002\u4f8b\u5982\uff0c\u67e5\u770b\u6570\u636e\u7684\u524d\u51e0\u884c\u3001\u7edf\u8ba1\u4fe1\u606f\u3001\u6570\u636e\u7b5b\u9009\u7b49\uff1a<\/p>\n<\/p>\n
    # \u67e5\u770b\u524d\u4e94\u884c\u6570\u636e<\/p>\n
    print(df.head())<\/p>\n
    \u67e5\u770b\u6570\u636e\u7edf\u8ba1\u4fe1\u606f<\/strong><\/h2>\n
    print(df.describe())<\/p>\n
    \u7b5b\u9009\u6ee1\u8db3\u6761\u4ef6\u7684\u6570\u636e<\/strong><\/h2>\n
    filtered_data = df[df['column_name'] > value]<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u4f7f\u7528CSV\u6a21\u5757\u8bfb\u53d6TSV\u6587\u4ef6<\/p>\n<\/p>\n
    Python\u7684\u5185\u7f6ecsv\u6a21\u5757\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6TSV\u6587\u4ef6\uff0c\u5c3d\u7ba1\u5b83\u4e3b\u8981\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\uff0c\u4f46\u901a\u8fc7\u6307\u5b9a\u5206\u9694\u7b26\uff0c\u540c\u6837\u53ef\u4ee5\u5904\u7406TSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u5bfc\u5165csv\u6a21\u5757<\/strong><\/p>\n<\/p>\n
      csv\u6a21\u5757\u662fPython\u7684\u5185\u7f6e\u6a21\u5757\uff0c\u65e0\u9700\u5b89\u88c5\uff0c\u76f4\u63a5\u5bfc\u5165\u5373\u53ef\uff1a<\/p>\n<\/p>\n
      import csv<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    2. \n
      \u8bfb\u53d6TSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
      \u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6TSV\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u6307\u5b9a\u5206\u9694\u7b26\u4e3a\u5236\u8868\u7b26\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u8bfb\u53d6TSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      with open('data.tsv', 'r') as file:<\/p>\n
          reader = csv.reader(file, delimiter='\\t')<\/p>\n
          for row in reader:<\/p>\n
              print(row)<\/p>\n
      <\/code><\/pre>\n<\/p>\n<\/li>\n
    3. \n
      \u5904\u7406\u8bfb\u53d6\u7684\u6570\u636e<\/strong><\/p>\n<\/p>\n
      \u8bfb\u53d6\u7684\u6570\u636e\u53ef\u4ee5\u6309\u884c\u5904\u7406\uff0c\u6bcf\u884c\u6570\u636e\u4ee5\u5217\u8868\u5f62\u5f0f\u5b58\u50a8\u3002\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u624b\u52a8\u89e3\u6790TSV\u6587\u4ef6<\/p>\n<\/p>\n
      \u5bf9\u4e8e\u7b80\u5355\u7684TSV\u6587\u4ef6\uff0c\u6216\u8005\u5728\u7279\u5b9a\u73af\u5883\u4e0b\u65e0\u6cd5\u4f7f\u7528\u5916\u90e8\u5e93\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u624b\u52a8\u89e3\u6790\u6587\u4ef6\u5185\u5bb9\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528Python\u7684\u5185\u7f6e\u6587\u4ef6\u64cd\u4f5c\u529f\u80fd\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
        with open('data.tsv', 'r') as file:<\/p>\n
            lines = file.readlines()<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u89e3\u6790\u6570\u636e<\/strong><\/p>\n<\/p>\n
        \u9010\u884c\u89e3\u6790\u6587\u4ef6\u5185\u5bb9\uff0c\u6839\u636e\u5236\u8868\u7b26\u5206\u5272\u6bcf\u884c\u6570\u636e\uff1a<\/p>\n<\/p>\n
        data = []<\/p>\n
        for line in lines:<\/p>\n
            data.append(line.strip().split('\\t'))<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      3. \n
        \u6570\u636e\u5904\u7406<\/strong><\/p>\n<\/p>\n
        \u89e3\u6790\u540e\u7684\u6570\u636e\u662f\u4e00\u4e2a\u5d4c\u5957\u5217\u8868\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001TSV\u6587\u4ef6\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
        TSV\u6587\u4ef6\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60<\/a>\u4ee5\u53ca\u6570\u636e\u5206\u6790\u7b49\u9886\u57df\u3002\u4e86\u89e3\u5982\u4f55\u8bfb\u53d6\u548c\u5904\u7406TSV\u6587\u4ef6\uff0c\u5bf9\u4e8e\u4ece\u4e8b\u6570\u636e\u76f8\u5173\u5de5\u4f5c\u7684\u4eba\u58eb\u6765\u8bf4\u662f\u5fc5\u5907\u6280\u80fd\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u6570\u636e\u6e05\u6d17\u4e0e\u9884\u5904\u7406<\/strong><\/p>\n<\/p>\n
          \u5728\u6570\u636e\u5206\u6790\u7684\u8fc7\u7a0b\u4e2d\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u539f\u59cb\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u9884\u5904\u7406\u3002\u901a\u8fc7pandas\u5e93\u8bfb\u53d6TSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u6570\u636e\u6e05\u6d17\u3001\u7f3a\u5931\u503c\u5904\u7406\u3001\u6570\u636e\u683c\u5f0f\u8f6c\u6362\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<\/p>\n
          \u8bfb\u53d6\u5e76\u5904\u7406TSV\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u7ed3\u5408matplotlib\u3001seaborn\u7b49\u53ef\u89c6\u5316\u5e93\uff0c\u751f\u6210\u5404\u79cd\u56fe\u8868\uff0c\u76f4\u89c2\u5c55\u793a\u6570\u636e\u7279\u5f81\u548c\u8d8b\u52bf\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<\/p>\n
          \u5728\u673a\u5668\u5b66\u4e60\u9879\u76ee\u4e2d\uff0cTSV\u6587\u4ef6\u5e38\u7528\u4e8e\u5b58\u50a8\u548c\u4ea4\u6362\u8bad\u7ec3\u6570\u636e\u548c\u6d4b\u8bd5\u6570\u636e\u3002\u901a\u8fc7pandas\u5e93\u8bfb\u53d6TSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5bfc\u5165\u5230\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e2d\u8fdb\u884c\u8bad\u7ec3\u548c\u9884\u6d4b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
          Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u5f0f\u6765\u8bfb\u53d6\u548c\u5904\u7406TSV\u6587\u4ef6\uff0c\u5176\u4e2d\u4f7f\u7528pandas\u5e93\u662f\u6700\u4e3a\u7b80\u4fbf\u9ad8\u6548\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u5bf9pandas\u5e93\u7684\u638c\u63e1\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u5347\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u6548\u7387\u3002\u6b64\u5916\uff0c\u4e86\u89e3csv\u6a21\u5757\u548c\u624b\u52a8\u89e3\u6790\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u7279\u5b9a\u573a\u666f\u4e0b\u63d0\u4f9b\u5907\u9009\u65b9\u6848\u3002\u65e0\u8bba\u662f\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u8fd8\u662f\u6570\u636e\u53ef\u89c6\u5316\uff0c\u638c\u63e1TSV\u6587\u4ef6\u7684\u5904\u7406\u65b9\u6cd5\u90fd\u5c06\u662f\u975e\u5e38\u6709\u76ca\u7684\u3002<\/p>\n<\/p>\n
          \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
           \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6TSV\u6587\u4ef6\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u8f7b\u677e\u8bfb\u53d6TSV\uff08\u5236\u8868\u7b26\u5206\u9694\u503c\uff09\u6587\u4ef6\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528csv.reader<\/code>\u65b9\u6cd5\uff0c\u5e76\u6307\u5b9a\u5206\u9694\u7b26\u4e3a\u5236\u8868\u7b26\uff08\\t<\/code>\uff09\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
          import csv\n\nwith open('your_file.tsv', newline='') as tsvfile:\n    reader = csv.reader(tsvfile, delimiter='\\t')\n    for row in reader:\n        print(row)\n<\/code><\/pre>\n
          \u8fd9\u4e2a\u4ee3\u7801\u6bb5\u4f1a\u9010\u884c\u8bfb\u53d6TSV\u6587\u4ef6\uff0c\u5e76\u5c06\u6bcf\u4e00\u884c\u6253\u5370\u51fa\u6765\u3002<\/p>\n
          Python\u4e2d\u5904\u7406TSV\u6587\u4ef6\u7684\u5e38\u7528\u5e93\u6709\u54ea\u4e9b\uff1f<\/strong>
          \u9664\u4e86\u5185\u7f6e\u7684csv\u6a21\u5757\uff0cPandas\u5e93\u4e5f\u662f\u5904\u7406TSV\u6587\u4ef6\u7684\u4e00\u4e2a\u70ed\u95e8\u9009\u62e9\u3002Pandas\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u80fd\u529b\u3002\u4f7f\u7528pd.read_csv()<\/code>\u65b9\u6cd5\uff0c\u6307\u5b9a\u5206\u9694\u7b26\u4e3a\u5236\u8868\u7b26\uff0c\u53ef\u4ee5\u5feb\u901f\u52a0\u8f7dTSV\u6587\u4ef6\uff1a<\/p>\n
          import pandas as pd\n\ndf = pd.read_csv('your_file.tsv', sep='\\t')\nprint(df.head())\n<\/code><\/pre>\n
          \u8fd9\u6bb5\u4ee3\u7801\u4f1a\u5c06TSV\u6587\u4ef6\u52a0\u8f7d\u4e3aDataFrame\uff0c\u5e76\u663e\u793a\u524d\u51e0\u884c\u6570\u636e\u3002<\/p>\n
          \u5982\u4f55\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aTSV\u683c\u5f0f\u7684\u6587\u4ef6\uff1f<\/strong>
          \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u6216Pandas\u5e93\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aTSV\u683c\u5f0f\u3002\u5982\u679c\u4f7f\u7528csv\u6a21\u5757\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1a<\/p>\n
          import csv\n\ndata = [['Name', 'Age'], ['Alice', 30], ['Bob', 25]]\n\nwith open('output.tsv', 'w', newline='') as tsvfile:\n    writer = csv.writer(tsvfile, delimiter='\\t')\n    writer.writerows(data)\n<\/code><\/pre>\n
          \u5982\u679c\u4f7f\u7528Pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\uff0c\u8bbe\u7f6e\u53c2\u6570sep<\/code>\u4e3a\u5236\u8868\u7b26\uff1a<\/p>\n
          import pandas as pd\n\ndf = pd.DataFrame({'Name': ['Alice', 'Bob'], 'Age': [30, 25]})\ndf.to_csv('output.tsv', sep='\\t', index=False)\n<\/code><\/pre>\n
          \u8fd9\u4e24\u79cd\u65b9\u6cd5\u90fd\u80fd\u6709\u6548\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aTSV\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1aPython\u6253\u5f00TSV\u6587\u4ef6\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001pandas\u5e93\u3001\u624b\u52a8\u89e3\u6790 […]","protected":false},"author":3,"featured_media":1004323,"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\/1004315"}],"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=1004315"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004315\/revisions"}],"predecessor-version":[{"id":1004324,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1004315\/revisions\/1004324"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1004323"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1004315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1004315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1004315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}