{"id":968196,"date":"2024-12-27T05:04:48","date_gmt":"2024-12-26T21:04:48","guid":{"rendered":""},"modified":"2024-12-27T05:04:50","modified_gmt":"2024-12-26T21:04:50","slug":"python%e5%a6%82%e4%bd%95%e5%86%99%e5%85%a5csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/968196.html","title":{"rendered":"python\u5982\u4f55\u5199\u5165csv"},"content":{"rendered":"

\"python\u5982\u4f55\u5199\u5165csv\"<\/p>\n

Python\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001numpy\u5e93\u3002<\/strong>\u5176\u4e2d\uff0ccsv\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6587\u4ef6\u5904\u7406\u6a21\u5757\uff0c\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\uff1bpandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\uff1b\u800cnumpy\u5e93\u5219\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u503c\u6570\u636e\u65f6\u8868\u73b0\u51fa\u8272\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e09\u79cd\u65b9\u6cd5\u6765\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528CSV\u6a21\u5757\u5199\u5165CSV\u6587\u4ef6<\/p>\n<\/p>\n

Python\u7684csv\u6a21\u5757\u662f\u5904\u7406CSV\u6587\u4ef6\u7684\u5185\u7f6e\u6a21\u5757\u3002\u5b83\u63d0\u4f9b\u4e86\u5bf9CSV\u6587\u4ef6\u7684\u8bfb\u5199\u529f\u80fd\uff0c\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n

    \n
  1. \u5199\u5165\u5217\u8868\u6570\u636e<\/strong><\/li>\n<\/ol>\n

    \u8981\u5c06\u5217\u8868\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u4e2d\u7684writer\u5bf9\u8c61\u3002\u901a\u8fc7writerow()\u65b9\u6cd5\u53ef\u4ee5\u5199\u5165\u4e00\u884c\uff0cwriterows()\u65b9\u6cd5\u53ef\u4ee5\u5199\u5165\u591a\u884c\u3002<\/p>\n<\/p>\n

    import csv<\/p>\n
    data = [<\/p>\n
        ['Name', 'Age', 'City'],<\/p>\n
        ['Alice', 30, 'New York'],<\/p>\n
        ['Bob', 25, 'Los Angeles'],<\/p>\n
        ['Charlie', 35, 'Chicago']<\/p>\n
    ]<\/p>\n
    with open('output.csv', 'w', newline='') as file:<\/p>\n
        writer = csv.writer(file)<\/p>\n
        writer.writerows(data)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0copen()<\/code>\u51fd\u6570\u7528\u4e8e\u6253\u5f00\u4e00\u4e2a\u65b0\u7684CSV\u6587\u4ef6\uff0ccsv.writer()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2awriter\u5bf9\u8c61\u3002\u901a\u8fc7writerows()<\/code>\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6574\u4e2a\u5217\u8868\u4e00\u6b21\u6027\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
      \n
    1. \u5199\u5165\u5b57\u5178\u6570\u636e<\/strong><\/li>\n<\/ol>\n
      \u5982\u679c\u4f60\u7684\u6570\u636e\u662f\u5b57\u5178\u5f62\u5f0f\u7684\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u4e2d\u7684DictWriter\u7c7b\u3002\u8fd9\u4e2a\u7c7b\u5141\u8bb8\u4f60\u5c06\u5b57\u5178\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u5e76\u6307\u5b9a\u5b57\u6bb5\u540d\u3002<\/p>\n<\/p>\n
      import csv<\/p>\n
      data = [<\/p>\n
          {'Name': 'Alice', 'Age': 30, 'City': 'New York'},<\/p>\n
          {'Name': 'Bob', 'Age': 25, 'City': 'Los Angeles'},<\/p>\n
          {'Name': 'Charlie', 'Age': 35, 'City': 'Chicago'}<\/p>\n
      ]<\/p>\n
      with open('output_dict.csv', 'w', newline='') as file:<\/p>\n
          fieldnames = ['Name', 'Age', 'City']<\/p>\n
          writer = csv.DictWriter(file, fieldnames=fieldnames)<\/p>\n
          writer.writeheader()<\/p>\n
          writer.writerows(data)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cDictWriter<\/code>\u9700\u8981\u6307\u5b9a\u5b57\u6bb5\u540d\uff08fieldnames\uff09\uff0c\u7136\u540e\u4f7f\u7528writeheader()<\/code>\u5199\u5165\u5934\u90e8\uff0c\u6700\u540e\u901a\u8fc7writerows()<\/code>\u5199\u5165\u591a\u884c\u5b57\u5178\u6570\u636e\u3002<\/p>\n<\/p>\n
      \u4e8c\u3001\u4f7f\u7528Pandas\u5e93\u5199\u5165CSV\u6587\u4ef6<\/p>\n<\/p>\n
      Pandas\u662fPython\u4e2d\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\u3002\u5b83\u7684DataFrame\u5bf9\u8c61\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
        \n
      1. \u4eceDataFrame\u5199\u5165CSV<\/strong><\/li>\n<\/ol>\n
        Pandas\u53ef\u4ee5\u4eceDataFrame\u5bf9\u8c61\u8f7b\u677e\u5bfc\u51faCSV\u6587\u4ef6\uff0c\u901a\u8fc7to_csv()<\/code>\u65b9\u6cd5\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        data = {<\/p>\n
            'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
            'Age': [30, 25, 35],<\/p>\n
            'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
        }<\/p>\n
        df = pd.DataFrame(data)<\/p>\n
        df.to_csv('output_pandas.csv', index=False)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u3002\u53c2\u6570index=False<\/code>\u7528\u4e8e\u7701\u7565\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
          \n
        1. \u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/strong><\/li>\n<\/ol>\n
          \u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u636e\uff0cPandas\u4e5f\u53ef\u4ee5\u9ad8\u6548\u5904\u7406\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u5206\u5757\u8bfb\u5199\u6570\u636e\uff0c\u786e\u4fdd\u5185\u5b58\u4f7f\u7528\u6548\u7387\u3002<\/p>\n<\/p>\n
          import pandas as pd<\/p>\n
          \u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u975e\u5e38\u5927\u7684DataFrame<\/strong><\/h2>\n
          chunk_size = 1000  # \u6bcf\u6b21\u5904\u74061000\u884c<\/p>\n
          for chunk in pd.read_csv('large_input.csv', chunksize=chunk_size):<\/p>\n
              # \u5bf9\u6bcf\u4e2a\u5757\u8fdb\u884c\u5904\u7406<\/p>\n
              # ...\uff08\u6570\u636e\u5904\u7406\u903b\u8f91\uff09<\/p>\n
              chunk.to_csv('output_large.csv', mode='a', header=False, index=False)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528chunksize<\/code>\u53c2\u6570\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u7136\u540e\u9010\u5757\u5904\u7406\u5e76\u5199\u5165\u65b0\u7684CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
          \u4e09\u3001\u4f7f\u7528NumPy\u5e93\u5199\u5165CSV\u6587\u4ef6<\/p>\n<\/p>\n
          NumPy\u662fPython\u4e2d\u5904\u7406\u6570\u503c\u6570\u636e\u7684\u57fa\u7840\u5e93\uff0c\u5c24\u5176\u9002\u5408\u5904\u7406\u5927\u91cf\u7684\u6570\u503c\u6570\u636e\u3002<\/p>\n<\/p>\n
            \n
          1. \u5c06\u6570\u7ec4\u5199\u5165CSV<\/strong><\/li>\n<\/ol>\n
            NumPy\u63d0\u4f9b\u4e86savetxt()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06\u6570\u7ec4\u76f4\u63a5\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            data = np.array([<\/p>\n
                ['Name', 'Age', 'City'],<\/p>\n
                ['Alice', 30, 'New York'],<\/p>\n
                ['Bob', 25, 'Los Angeles'],<\/p>\n
                ['Charlie', 35, 'Chicago']<\/p>\n
            ])<\/p>\n
            np.savetxt('output_numpy.csv', data, delimiter=',', fmt='%s')<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u6b64\u4ee3\u7801\u4e2d\uff0csavetxt()<\/code>\u51fd\u6570\u7528\u4e8e\u5c06NumPy\u6570\u7ec4\u5b58\u50a8\u4e3aCSV\u6587\u4ef6\u3002\u53c2\u6570delimiter<\/code>\u6307\u5b9a\u5206\u9694\u7b26\uff0cfmt='%s'<\/code>\u8868\u793a\u6570\u636e\u683c\u5f0f\u4e3a\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n
              \n
            1. \u5904\u7406\u5927\u89c4\u6a21\u6570\u503c\u6570\u636e<\/strong><\/li>\n<\/ol>\n
              \u5bf9\u4e8e\u5927\u89c4\u6a21\u7684\u6570\u503c\u6570\u636e\uff0cNumPy\u7684\u6548\u7387\u975e\u5e38\u9ad8\uff0c\u9002\u5408\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u9886\u57df\u3002<\/p>\n<\/p>\n
              import numpy as np<\/p>\n
              \u521b\u5efa\u4e00\u4e2a\u5927\u89c4\u6a21\u7684\u968f\u673a\u6570\u6570\u7ec4<\/strong><\/h2>\n
              data = np.random.rand(10000, 3)<\/p>\n
              np.savetxt('output_large_numpy.csv', data, delimiter=',')<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e00\u4e2a\u5305\u542b10000\u884c\u7684\u968f\u673a\u6570\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528savetxt()<\/code>\u51fd\u6570\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
              \u7efc\u4e0a\u6240\u8ff0\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5199\u5165CSV\u6587\u4ef6\uff0c\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u3002\u5bf9\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\uff0ccsv\u6a21\u5757\u5df2\u7ecf\u8db3\u591f\uff1b\u5982\u679c\u9700\u8981\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\uff0cpandas\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\uff1b\u800c\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u503c\u6570\u636e\uff0cnumpy\u7684\u6548\u7387\u66f4\u9ad8\u3002\u6839\u636e\u5b9e\u9645\u60c5\u51b5\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
               \u5982\u4f55\u4f7f\u7528Python\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
              \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6765\u5199\u5165CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5bfc\u5165\u8be5\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528csv.writer()<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u5c06\u5355\u884c\u6216\u591a\u884c\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n
              import csv\n\ndata = [['Name', 'Age', 'City'],\n        ['Alice', 30, 'New York'],\n        ['Bob', 25, 'Los Angeles']]\n\nwith open('output.csv', mode='w', newline='') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)\n<\/code><\/pre>\n
              \u4e0a\u8ff0\u4ee3\u7801\u5c06\u521b\u5efa\u4e00\u4e2a\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\uff0c\u5e76\u5199\u5165\u6307\u5b9a\u7684\u6570\u636e\u3002<\/p>\n
              \u5728Python\u4e2d\u5982\u4f55\u5904\u7406CSV\u6587\u4ef6\u7684\u7f16\u7801\u95ee\u9898\uff1f<\/strong>
              \u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u7f16\u7801\u95ee\u9898\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6570\u636e\u8bfb\u53d6\u6216\u5199\u5165\u5931\u8d25\u3002\u4e3a\u4e86\u786e\u4fdd\u6587\u4ef6\u80fd\u591f\u6b63\u786e\u5904\u7406\u5404\u79cd\u5b57\u7b26\u96c6\uff0c\u60a8\u53ef\u4ee5\u5728\u6253\u5f00\u6587\u4ef6\u65f6\u6307\u5b9a\u7f16\u7801\u3002\u4f8b\u5982\uff0c\u4f7f\u7528utf-8<\/code>\u7f16\u7801\u53ef\u4ee5\u907f\u514d\u5927\u90e8\u5206\u5e38\u89c1\u7684\u95ee\u9898\uff1a<\/p>\n
              with open('output.csv', mode='w', newline='', encoding='utf-8') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)\n<\/code><\/pre>\n
              \u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u786e\u4fdd\u60a8\u7684\u6570\u636e\u5728\u4e0d\u540c\u7684\u7cfb\u7edf\u548c\u8f6f\u4ef6\u4e2d\u90fd\u80fd\u6b63\u786e\u663e\u793a\u3002<\/p>\n
              Python\u5199\u5165CSV\u65f6\u5982\u4f55\u5904\u7406\u5217\u8868\u6216\u5b57\u5178\u6570\u636e\uff1f<\/strong>
              \u5982\u679c\u60a8\u7684\u6570\u636e\u662f\u5217\u8868\u6216\u5b57\u5178\u683c\u5f0f\uff0ccsv<\/code>\u6a21\u5757\u540c\u6837\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u5904\u7406\u65b9\u5f0f\u3002\u5bf9\u4e8e\u5217\u8868\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528writerow()<\/code>\u65b9\u6cd5\u3002\u800c\u5bf9\u4e8e\u5b57\u5178\uff0c\u4f7f\u7528csv.DictWriter()<\/code>\u66f4\u4e3a\u65b9\u4fbf\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n
              import csv\n\ndata = [\n    {'Name': 'Alice', 'Age': 30, 'City': 'New York'},\n    {'Name': 'Bob', 'Age': 25, 'City': 'Los Angeles'}\n]\n\nwith open('output.csv', mode='w', newline='') as file:\n    writer = csv.DictWriter(file, fieldnames=data[0].keys())\n    writer.writeheader()  # \u5199\u5165\u8868\u5934\n    writer.writerows(data)\n<\/code><\/pre>\n
              \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5b57\u5178\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff0c\u5e76\u81ea\u52a8\u5904\u7406\u8868\u5934\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001numpy\u5e93\u3002\u5176\u4e2d\uff0ccsv\u6a21\u5757\u662fPytho […]","protected":false},"author":3,"featured_media":968201,"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\/968196"}],"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=968196"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968196\/revisions"}],"predecessor-version":[{"id":968202,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968196\/revisions\/968202"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/968201"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=968196"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=968196"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=968196"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}