{"id":999962,"date":"2024-12-27T09:45:48","date_gmt":"2024-12-27T01:45:48","guid":{"rendered":""},"modified":"2024-12-27T09:45:50","modified_gmt":"2024-12-27T01:45:50","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e8%af%bb%e5%8f%96csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/999962.html","title":{"rendered":"\u5982\u4f55\u5728python\u8bfb\u53d6csv"},"content":{"rendered":"

\"\u5982\u4f55\u5728python\u8bfb\u53d6csv\"<\/p>\n

\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u6a21\u5757\u3001numpy\u5e93<\/strong>\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4f7f\u7528\u5efa\u8bae\u548c\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV<\/h3>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u65b9\u4fbf\u3002<\/strong><\/p>\n<\/p>\n

    \n
  1. \n

    \u5b89\u88c5Pandas\u5e93<\/strong><\/p>\n<\/p>\n

    \u5728\u4f7f\u7528Pandas\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

    pip install pandas<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
    \u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
    df = pd.read_csv('data.csv')<\/p>\n
    \u663e\u793a\u6570\u636e\u7684\u524d\u4e94\u884c<\/strong><\/h2>\n
    print(df.head())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    pandas.read_csv()\u51fd\u6570\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u53c2\u6570<\/strong>\uff0c\u53ef\u4ee5\u7528\u4e8e\u63a7\u5236\u8bfb\u53d6\u6570\u636e\u7684\u65b9\u5f0f\uff0c\u4f8b\u5982\u6307\u5b9a\u5206\u9694\u7b26\u3001\u7f16\u7801\u683c\u5f0f\u3001\u9700\u8981\u8bfb\u53d6\u7684\u5217\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u8be6\u7ec6\u53c2\u6570\u4ecb\u7ecd<\/strong><\/p>\n<\/p>\n
      \n
    • filepath_or_buffer<\/code>: \u5b57\u7b26\u4e32\u7c7b\u578b\uff0c\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\u6216URL\u3002<\/li>\n
    • sep<\/code>: \u5b57\u7b26\u4e32\u7c7b\u578b\uff0c\u6307\u5b9a\u5206\u9694\u7b26\uff0c\u9ed8\u8ba4\u4e3a\u9017\u53f7\u3002<\/li>\n
    • header<\/code>: \u6307\u5b9a\u54ea\u4e00\u884c\u4f5c\u4e3a\u5217\u540d\uff0c\u9ed8\u8ba4\u4e3a0\uff08\u7b2c\u4e00\u884c\uff09\u3002<\/li>\n
    • names<\/code>: \u6307\u5b9a\u5217\u540d\u5217\u8868\u3002<\/li>\n
    • index_col<\/code>: \u6307\u5b9a\u7528\u4f5c\u884c\u7d22\u5f15\u7684\u5217\u3002<\/li>\n
    • usecols<\/code>: \u6307\u5b9a\u9700\u8981\u8bfb\u53d6\u7684\u5217\u3002<\/li>\n
    • dtype<\/code>: \u6307\u5b9a\u5217\u7684\u6570\u636e\u7c7b\u578b\u3002<\/li>\n
    • encoding<\/code>: \u6307\u5b9a\u6587\u4ef6\u7684\u7f16\u7801\u683c\u5f0f\uff0c\u5e38\u7528'utf-8'<\/code>\u6216'latin1'<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n
      \u4e8c\u3001\u4f7f\u7528CSV\u6a21\u5757\u8bfb\u53d6CSV<\/h3>\n<\/p>\n
      CSV\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u5904\u7406CSV\u6587\u4ef6\u7684\u6a21\u5757\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u8bfb\u53d6\u3002<\/strong><\/p>\n<\/p>\n
        \n
      1. \n
        \u57fa\u672c\u4f7f\u7528\u65b9\u6cd5<\/strong><\/p>\n<\/p>\n
        \u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
        import csv<\/p>\n
        \u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
        with open('data.csv', newline='') as csvfile:<\/p>\n
            # \u521b\u5efaCSV\u8bfb\u53d6\u5668<\/p>\n
            csvreader = csv.reader(csvfile, delimiter=',')<\/p>\n
            # \u9010\u884c\u8bfb\u53d6\u6570\u636e<\/p>\n
            for row in csvreader:<\/p>\n
                print(row)<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        \u4f7f\u7528DictReader<\/strong><\/p>\n<\/p>\n
        \u5982\u679c\u5e0c\u671b\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u6bcf\u4e00\u884c\u8bfb\u53d6\u4e3a\u5b57\u5178\u7684\u5f62\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528csv.DictReader<\/code>\uff1a<\/p>\n<\/p>\n
        import csv<\/p>\n
        with open('data.csv', newline='') as csvfile:<\/p>\n
            # \u521b\u5efa\u5b57\u5178\u8bfb\u53d6\u5668<\/p>\n
            dictreader = csv.DictReader(csvfile)<\/p>\n
            # \u9010\u884c\u8bfb\u53d6\u6570\u636e<\/p>\n
            for row in dictreader:<\/p>\n
                print(row)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4f7f\u7528DictReader\u7684\u597d\u5904\u662f\u53ef\u4ee5\u6839\u636e\u5217\u540d\u8bbf\u95ee\u6570\u636e<\/strong>\uff0c\u800c\u4e0d\u662f\u4f7f\u7528\u7d22\u5f15\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u4e09\u3001\u4f7f\u7528Numpy\u5e93\u8bfb\u53d6CSV<\/h3>\n<\/p>\n
        Numpy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e\u7684CSV\u6587\u4ef6\u3002<\/strong><\/p>\n<\/p>\n
          \n
        1. \n
          \u5b89\u88c5Numpy\u5e93<\/strong><\/p>\n<\/p>\n
          \u5982\u679c\u5c1a\u672a\u5b89\u88c5Numpy\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
          pip install numpy<\/p>\n
          <\/code><\/pre>\n<\/p>\n<\/li>\n
        2. \n
          \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/p>\n<\/p>\n
          \u4f7f\u7528Numpy\u7684genfromtxt<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
          import numpy as np<\/p>\n
          \u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
          data = np.genfromtxt('data.csv', delimiter=',', skip_header=1)<\/p>\n
          \u6253\u5370\u6570\u636e<\/strong><\/h2>\n
          print(data)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          • delimiter<\/code>: \u6307\u5b9a\u5206\u9694\u7b26\u3002<\/li>\n
          • skip_header<\/code>: \u6307\u5b9a\u8df3\u8fc7\u7684\u884c\u6570\uff0c\u4f8b\u5982\u8df3\u8fc7\u8868\u5934\u3002<\/li>\n
          • dtype<\/code>: \u6307\u5b9a\u6570\u636e\u7c7b\u578b\uff0c\u9ed8\u8ba4\u6839\u636e\u6587\u4ef6\u5185\u5bb9\u81ea\u52a8\u63a8\u65ad\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n
            \u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/h3>\n<\/p>\n
            \u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u9700\u8981\u8003\u8651\u6587\u4ef6\u7684\u590d\u6742\u6027\u3001\u6570\u636e\u91cf\u4ee5\u53ca\u540e\u7eed\u6570\u636e\u5904\u7406\u7684\u9700\u6c42\u3002<\/strong><\/p>\n<\/p>\n
              \n
            1. \n
              Pandas<\/strong><\/p>\n<\/p>\n
                \n
              • \u9002\u7528\u4e8e\u5904\u7406\u590d\u6742\u7684CSV\u6587\u4ef6\uff0c\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u3002<\/li>\n
              • \u63d0\u4f9b\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u529f\u80fd\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3002<\/li>\n<\/ul>\n<\/li>\n
              • \n
                CSV\u6a21\u5757<\/strong><\/p>\n<\/p>\n
                  \n
                • \u9002\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u8bfb\u53d6\u3002<\/li>\n
                • \u9002\u5408\u65e0\u9700\u8fdb\u884c\u590d\u6742\u6570\u636e\u5904\u7406\u7684\u60c5\u51b5\u3002<\/li>\n<\/ul>\n<\/li>\n
                • \n
                  Numpy<\/strong><\/p>\n<\/p>\n
                    \n
                  • \u9002\u7528\u4e8e\u6570\u503c\u578b\u6570\u636e\u7684CSV\u6587\u4ef6\u3002<\/li>\n
                  • \u63d0\u4f9b\u9ad8\u6548\u7684\u6570\u7ec4\u8ba1\u7b97\u529f\u80fd\uff0c\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n
                    \u4e94\u3001\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n
                      \n
                    1. \n
                      \u6587\u4ef6\u8def\u5f84<\/strong><\/p>\n<\/p>\n
                      \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u9700\u8981\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\u3002\u5982\u679c\u6587\u4ef6\u4e0d\u5728\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u4e0b\uff0c\u9700\u8981\u63d0\u4f9b\u5b8c\u6574\u8def\u5f84\u3002<\/p>\n<\/p>\n<\/li>\n
                    2. \n
                      \u7f16\u7801\u683c\u5f0f<\/strong><\/p>\n<\/p>\n
                      \u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f16\u7801\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u6587\u4ef6\u5305\u542b\u7279\u6b8a\u5b57\u7b26\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9aencoding='utf-8'<\/code>\u3002<\/p>\n<\/p>\n<\/li>\n
                    3. \n
                      \u6570\u636e\u6e05\u6d17<\/strong><\/p>\n<\/p>\n
                      \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u540e\uff0c\u53ef\u80fd\u9700\u8981\u8fdb\u884c\u6570\u636e\u6e05\u6d17\uff0c\u5982\u5904\u7406\u7f3a\u5931\u503c\u3001\u5220\u9664\u91cd\u590d\u884c\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
                    4. \n
                      \u6027\u80fd\u4f18\u5316<\/strong><\/p>\n<\/p>\n
                      \u5bf9\u4e8e\u5927\u6587\u4ef6\uff0c\u53ef\u4ee5\u6307\u5b9achunksize<\/code>\u53c2\u6570\u5206\u5757\u8bfb\u53d6\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u5360\u7528\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eusecols<\/code>\u53c2\u6570\u53ea\u8bfb\u53d6\u6240\u9700\u7684\u5217\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
                      \u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\u548c\u6ce8\u610f\u4e8b\u9879\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5728Python\u4e2d\u8bfb\u53d6\u548c\u5904\u7406CSV\u6587\u4ef6\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u80fd\u591f\u66f4\u597d\u5730\u5b8c\u6210\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002<\/p>\n<\/p>\n
                      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                       \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
                      Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u5f0f\u6765\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u6700\u5e38\u7528\u7684\u5e93\u662fpandas<\/code>\u548c\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u3002\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pd.read_csv('\u6587\u4ef6\u8def\u5f84')<\/code>\u6765\u8bfb\u53d6\u6570\u636e\uff0c\u800c\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7csv.reader<\/code>\u6765\u9010\u884c\u8bfb\u53d6\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u60a8\u7684\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u3002<\/p>\n
                      \u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
                      \u5982\u679cCSV\u6587\u4ef6\u4e2d\u5b58\u5728\u7f3a\u5931\u503c\uff0cpandas<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u4fbf\u7684\u9009\u9879\u6765\u5904\u7406\u8fd9\u4e9b\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u542b\u6709\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\uff0c\u4f8b\u5982\u7528\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u6216\u7279\u5b9a\u503c\u586b\u5145\u3002\u6839\u636e\u60a8\u7684\u6570\u636e\u5206\u6790\u9700\u6c42\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u4fdd\u8bc1\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002<\/p>\n
                      \u662f\u5426\u53ef\u4ee5\u8bfb\u53d6\u8fdc\u7a0bCSV\u6587\u4ef6\uff1f<\/strong>
                      \u662f\u7684\uff0cPython\u80fd\u591f\u8bfb\u53d6\u5b58\u50a8\u5728\u8fdc\u7a0b\u670d\u52a1\u5668\u4e0a\u7684CSV\u6587\u4ef6\u3002\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u60a8\u53ea\u9700\u5c06\u8fdc\u7a0bURL\u4f5c\u4e3apd.read_csv()<\/code>\u7684\u53c2\u6570\u3002\u4f8b\u5982\uff0cpd.read_csv('http:\/\/example.com\/data.csv')<\/code>\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6\u5728\u7ebfCSV\u6587\u4ef6\u3002\u786e\u4fdd\u8fdc\u7a0b\u6587\u4ef6\u7684URL\u662f\u6b63\u786e\u7684\uff0c\u5e76\u4e14\u6587\u4ef6\u7684\u683c\u5f0f\u7b26\u5408CSV\u6807\u51c6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001csv\u6a21\u5757\u3001numpy […]","protected":false},"author":3,"featured_media":999974,"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\/999962"}],"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=999962"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/999962\/revisions"}],"predecessor-version":[{"id":999977,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/999962\/revisions\/999977"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/999974"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=999962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=999962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=999962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}