{"id":175509,"date":"2024-05-08T18:52:41","date_gmt":"2024-05-08T10:52:41","guid":{"rendered":""},"modified":"2024-05-08T18:52:45","modified_gmt":"2024-05-08T10:52:45","slug":"python-pandas%e5%af%bc%e5%85%a5csv%e6%95%b0%e6%8d%ae%e6%97%b6%e5%a6%82%e4%bd%95%e5%8e%bb%e9%99%a4%e9%bb%98%e8%ae%a4%e7%b4%a2%e5%bc%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/175509.html","title":{"rendered":"python pandas\u5bfc\u5165csv\u6570\u636e\u65f6\u5982\u4f55\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15"},"content":{"rendered":"

\"python<\/p>\n

\u5f53\u4f7f\u7528Python\u7684Pandas\u5e93\u5bfc\u5165CSV\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u5b9a\u53c2\u6570index_col<\/code>\u6765\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15<\/strong>\u3001\u4f7f\u7528CSV\u6587\u4ef6\u4e2d\u7684\u67d0\u4e00\u5217\u4f5c\u4e3a\u6570\u636e\u6846\u7684\u7d22\u5f15\uff0c\u6216\u8005\u901a\u8fc7reset_index()<\/code>\u65b9\u6cd5\u6765\u53bb\u9664\u7531Pandas\u81ea\u52a8\u521b\u5efa\u7684\u9ed8\u8ba4\u7d22\u5f15\u5e76\u751f\u6210\u4e00\u4e2a\u65b0\u7684\u6574\u6570\u5e8f\u5217\u7d22\u5f15\u3002<\/p>\n<\/p>\n

\u4e3a\u4e86\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15\uff0c\u5f53\u4f7f\u7528pandas.read_csv()<\/code>\u51fd\u6570\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6eindex_col=False<\/code>\u3002\u8fd9\u4f1a\u544a\u8bc9Pandas\u4e0d\u5c06\u7b2c\u4e00\u5217\u4f5c\u4e3a\u884c\u7684\u7d22\u5f15\uff0c\u800c\u662f\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6574\u6570\u5e8f\u5217\u3002\u5047\u8bbe\u4f60\u7684CSV\u6ca1\u6709\u63d0\u4f9b\u7d22\u5f15\u5217\uff0c\u800c\u4f60\u4e0d\u9700\u8981Pandas\u4e3a\u4f60\u81ea\u52a8\u751f\u6210\u7d22\u5f15\uff0c\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e2a\u53c2\u6570\u975e\u5e38\u6709\u7528\u3002\u5f53CSV\u4e2d\u786e\u5b9e\u5305\u542b\u6709\u6548\u7684\u7d22\u5f15\u5217\u4e14\u4f60\u5e0c\u671b\u4f7f\u7528\u5b83\u4f5c\u4e3aDataFrame\u7684\u7d22\u5f15\uff0c\u53ef\u4ee5\u901a\u8fc7index_col=0<\/code>\u6765\u6307\u5b9a\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528read_csv<\/code>\u5bfc\u5165\u6570\u636e<\/strong><\/h2>\n<\/p>\n

\u5f53\u4f60\u9700\u8981\u4eceCSV\u6587\u4ef6\u4e2d\u5bfc\u5165\u6570\u636e\u5230Pandas\u7684DataFrame\u65f6\uff0c\u4f7f\u7528read_csv()<\/code>\u51fd\u6570\u662f\u5e38\u89c4\u505a\u6cd5\u3002\u5728\u5bfc\u5165\u8fc7\u7a0b\u4e2d\uff0c\u901a\u8fc7\u9002\u5f53\u8bbe\u7f6eread_csv()<\/code>\u53c2\u6570\uff0c\u4f60\u53ef\u4ee5\u63a7\u5236\u6570\u636e\u52a0\u8f7d\u7684\u5404\u4e2a\u65b9\u9762\u3002<\/p>\n<\/p>\n

\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u4e86\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u4f46\u544a\u8bc9Pandas\u4e0d\u521b\u5efa\u9ed8\u8ba4\u7d22\u5f15\uff1a<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
df = pd.read_csv('your-data.csv', index_col=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6216\u8005\uff0c\u5982\u679c\u4f60\u7684CSV\u6587\u4ef6\u4e2d\u7b2c\u4e00\u5217\u5c31\u662f\u4f60\u60f3\u8981\u7684\u7d22\u5f15\uff0c\u53ef\u4ee5\u8bbe\u7f6eindex_col<\/code>\u53c2\u6570\u4e3a0\uff1a<\/p>\n<\/p>\n
df = pd.read_csv('your-data.csv', index_col=0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u91cd\u7f6e\u7d22\u5f15<\/strong><\/h2>\n<\/p>\n
\u5047\u8bbe\u5728\u6570\u636e\u52a0\u8f7d\u4e4b\u540e\uff0c\u4f60\u51b3\u5b9a\u53bb\u6389DataFrame\u4e2d\u7684\u9ed8\u8ba4\u7d22\u5f15\uff0c\u5e76\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u4ece0\u5f00\u59cb\u7684\u6574\u6570\u5e8f\u5217\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528reset_index()<\/code>\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4ee5\u4e0b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5bfc\u5165CSV\u6570\u636e\u5e76\u91cd\u7f6e\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u5bfc\u5165CSV\u6570\u636e\uff0c\u6b64\u65f6Pandas\u4f1a\u521b\u5efa\u4e00\u4e2a\u9ed8\u8ba4\u7d22\u5f15<\/strong><\/h2>\n
df = pd.read_csv('your-data.csv')<\/p>\n
\u4f7f\u7528reset_index()\u65b9\u6cd5\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15\uff0c\u5e76\u6dfb\u52a0\u4e00\u4e2a\u65b0\u7684\u4ece0\u5f00\u59cb\u7684\u6574\u6570\u5e8f\u5217\u7d22\u5f15<\/strong><\/h2>\n
df = df.reset_index(drop=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0cdrop=True<\/code>\u53c2\u6570\u544a\u8bc9Pandas\u5728\u6dfb\u52a0\u65b0\u7684\u6574\u6570\u7d22\u5f15\u7684\u540c\u65f6\u4e0d\u8981\u4fdd\u7559\u65e7\u7684\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5904\u7406\u5177\u6709\u591a\u4e2a\u7d22\u5f15\u5217\u7684CSV<\/strong><\/h2>\n<\/p>\n
\u5982\u679c\u4f60\u7684CSV\u6587\u4ef6\u5305\u542b\u591a\u4e2a\u5217\u4f5c\u4e3a\u4e00\u4e2a\u590d\u5408\u7d22\u5f15\uff0c\u8fd9\u65f6\u4f60\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u591a\u4e2a\u5217\u7684\u4f4d\u7f6e\u6765\u5904\u7406\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u524d\u4e24\u5217\u662f\u7d22\u5f15<\/strong><\/h2>\n
df = pd.read_csv('your-data.csv', index_col=[0, 1])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u7b2c\u4e00\u5217\u548c\u7b2c\u4e8c\u5217\u5c06\u4e00\u8d77\u4f5c\u4e3a\u590d\u5408\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u56db\u3001\u7d22\u5f15\u5bf9\u6570\u636e\u5904\u7406\u7684\u5f71\u54cd<\/strong><\/h2>\n<\/p>\n
\u7d22\u5f15\u662f\u6570\u636e\u6846\u67b6\u4e2d\u7ba1\u7406\u548c\u8bbf\u95ee\u6570\u636e\u884c\u7684\u5173\u952e\u3002\u6b63\u786e\u5730\u8bbe\u7f6e\u7d22\u5f15\u5c06\u4f1a\u7b80\u5316\u6570\u636e\u64cd\u4f5c<\/strong>\u3001\u6539\u8fdb\u6027\u80fd\uff0c\u5e76\u5141\u8bb8\u4f60\u4f7f\u7528\u5404\u79cdPandas\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u7d22\u5f15\u7684\u6b63\u786e\u8bbe\u7f6e\u4e0d\u4ec5\u6709\u52a9\u4e8e\u6570\u636e\u7684\u8bfb\u53d6\u6548\u7387<\/strong>\uff0c\u8fd8\u5bf9\u4e4b\u540e\u7684\u6570\u636e\u5904\u7406\u3001\u5982\u5206\u7ec4\u3001\u6392\u5e8f\u4ee5\u53ca\u8fde\u63a5\u64cd\u4f5c\u7b49\u90fd\u975e\u5e38\u91cd\u8981\u3002\u7d22\u5f15\u5e94\u8be5\u662f\u552f\u4e00\u7684\u3001\u6709\u5e8f\u7684\uff0c\u5e76\u4e14\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u662f\u4e0d\u53d8\u7684\uff1b\u8fd9\u5c06\u786e\u4fdd\u4e86\u6570\u636e\u64cd\u4f5c\u7684\u4e00\u81f4\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u6700\u4f73\u5b9e\u8df5\u548c\u6027\u80fd\u8003\u8651<\/strong><\/h2>\n<\/p>\n
\u5728\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u65f6\uff0c\u5bf9\u6027\u80fd\u7684\u8003\u8651\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002\u7559\u610f\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\u6240\u7528\u7684\u53c2\u6570\uff0c\u4ee5\u53caDataFrame\u7d22\u5f15\u7684\u4f7f\u7528\uff0c\u53ef\u4ee5\u5bf9\u7a0b\u5e8f\u4f18\u5316\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u9002\u5f53\u7684dtype<\/code>\u53c2\u6570\u53ef\u4ee5\u964d\u4f4e\u5185\u5b58\u7684\u6d88\u8017<\/strong>\uff0c\u540c\u65f6\uff0c\u5e94\u907f\u514d\u591a\u6b21\u4e0d\u5fc5\u8981\u7684\u7d22\u5f15\u91cd\u7f6e\u64cd\u4f5c\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u64cd\u4f5c\u5728\u5927\u89c4\u6a21\u6570\u636e\u96c6\u4e2d\u53ef\u80fd\u975e\u5e38\u8017\u65f6\u3002<\/p>\n<\/p>\n
\u516d\u3001\u7ed3\u8bba<\/strong><\/h2>\n<\/p>\n
Pandas\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u6570\u636e\u5bfc\u5165\u5de5\u5177\uff0c\u4f7f\u5f97\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15\u53d8\u5f97\u7b80\u5355\u3002\u6839\u636e\u4f60\u7684\u5177\u4f53\u9700\u6c42\uff0c\u53ef\u4ee5\u5728\u52a0\u8f7dCSV\u6587\u4ef6\u65f6\u6216\u4e4b\u540e\u8fdb\u884c\u7d22\u5f15\u7684\u7ba1\u7406\u3002\u4e0d\u8fc7\uff0c\u59cb\u7ec8\u8981\u786e\u4fdd\u6240\u9009\u7684\u65b9\u6cd5\u9002\u5408\u4f60\u7684\u6570\u636e\u96c6\u7279\u70b9\u548c\u5206\u6790\u9700\u6c42\u3002\u9009\u62e9\u4e00\u4e2a\u6709\u6548\u7684\u7d22\u5f15\u5c06\u6709\u52a9\u4e8e\u540e\u7eed\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5982\u4f55\u5728\u4f7f\u7528Python\u7684pandas\u5e93\u5bfc\u5165CSV\u6570\u636e\u65f6\uff0c\u53bb\u9664\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\uff1f<\/strong><\/p>\n
    \n
  1. \n
    \u5982\u4f55\u5728\u4f7f\u7528pandas\u5bfc\u5165CSV\u6570\u636e\u65f6\uff0c\u9632\u6b62\u751f\u6210\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\uff1f<\/strong>
    \n\u60a8\u53ef\u4ee5\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u4f7f\u7528\u53c2\u6570 index_col<\/code> \u5c06\u67d0\u4e00\u5217\u4f5c\u4e3a\u7d22\u5f15\u5217\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u60f3\u628a\u7b2c\u4e00\u5217\u4f5c\u4e3a\u7d22\u5f15\u5217\uff0c\u53ef\u4ee5\u5c06 index_col=0<\/code> \u4f20\u9012\u7ed9 read_csv<\/code> \u51fd\u6570\u3002<\/p>\n
    import pandas as pd\n\ndata = pd.read_csv('data.csv', index_col=0)\n<\/code><\/pre>\n
    \u8fd9\u5c06\u4f7f\u5f97\u7b2c\u4e00\u5217\u6570\u636e\u4e0d\u518d\u751f\u6210\u4e3a\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u3002<\/p>\n<\/li>\n
  2. \n
    \u6211\u5982\u4f55\u5728pandas\u4e2d\u5220\u9664\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\uff1f<\/strong>
    \n\u5982\u679c\u60a8\u5df2\u7ecf\u5c06CSV\u6570\u636e\u5bfc\u5165\u5230pandas DataFrame\u4e2d\uff0c\u5e76\u4e14\u60f3\u8981\u5220\u9664\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528 reset_index()<\/code> \u65b9\u6cd5\u6765\u91cd\u7f6e\u7d22\u5f15\uff0c\u5e76\u4f7f\u7528 drop=True<\/code> \u53c2\u6570\u6765\u5220\u9664\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u3002<\/p>\n
    data.reset_index(drop=True, inplace=True)\n<\/code><\/pre>\n
    \u8fd9\u5c06\u5220\u9664\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\uff0c\u5e76\u66f4\u65b0DataFrame\u7684\u7d22\u5f15\u3002<\/p>\n<\/li>\n
  3. \n
    \u5982\u4f55\u5728pandas\u5bfc\u5165CSV\u6570\u636e\u65f6\uff0c\u5c06\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u4fdd\u5b58\u4e3a\u53e6\u4e00\u5217\u800c\u4e0d\u5220\u9664\uff1f<\/strong>
    \n\u5982\u679c\u60a8\u5e0c\u671b\u4fdd\u7559\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u4f5c\u4e3a\u6570\u636e\u7684\u4e00\u90e8\u5206\uff0c\u800c\u4e0d\u60f3\u5220\u9664\u5b83\uff0c\u60a8\u53ef\u4ee5\u5c06\u7d22\u5f15\u5217\u91cd\u547d\u540d\u4e3a\u65b0\u7684\u5217\u540d\u3002\u53ef\u4ee5\u4f7f\u7528 rename<\/code> \u65b9\u6cd5\u5c06\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u91cd\u547d\u540d\u4e3a\u60a8\u60f3\u8981\u7684\u5217\u540d\u3002<\/p>\n
    data.rename(columns={'Unnamed: 0': 'ID'}, inplace=True)\n<\/code><\/pre>\n
    \u8fd9\u5c06\u628a\u9ed8\u8ba4\u7684\u7d22\u5f15\u5217\u91cd\u547d\u540d\u4e3a "ID"\uff0c\u5e76\u5c06\u5176\u4fdd\u7559\u5728DataFrame\u4e2d\u4f5c\u4e3a\u4e00\u4e2a\u666e\u901a\u7684\u6570\u636e\u5217\u3002<\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"\u5f53\u4f7f\u7528Python\u7684Pandas\u5e93\u5bfc\u5165CSV\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u5b9a\u53c2\u6570index_col\u6765\u53bb\u9664\u9ed8\u8ba4\u7d22\u5f15\u3001\u4f7f\u7528CS […]","protected":false},"author":3,"featured_media":175516,"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\/175509"}],"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=175509"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/175509\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/175516"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=175509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=175509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=175509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}