{"id":1016188,"date":"2024-12-27T12:14:17","date_gmt":"2024-12-27T04:14:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1016188.html"},"modified":"2024-12-27T12:14:21","modified_gmt":"2024-12-27T04:14:21","slug":"python%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5pd%e5%8c%85","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1016188.html","title":{"rendered":"python\u5982\u4f55\u5bfc\u5165pd\u5305"},"content":{"rendered":"

\"python\u5982\u4f55\u5bfc\u5165pd\u5305\"<\/p>\n

\u8981\u5728Python\u4e2d\u5bfc\u5165pandas<\/code>\u5305\uff0c\u60a8\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u8be5\u5305\uff0c\u7136\u540e\u4f7f\u7528import<\/code>\u8bed\u53e5\u5bfc\u5165\u3002\u9996\u5148\uff0c\u786e\u8ba4\u5b89\u88c5pandas\u3001\u4f7f\u7528import\u8bed\u53e5\u5f15\u5165\u3001\u5e76\u4e86\u89e3\u5176\u7528\u9014\u4e0e\u529f\u80fd<\/strong>\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u5b89\u88c5\u548c\u5bfc\u5165pandas<\/code>\u4ee5\u53ca\u5176\u5e94\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5Pandas\u5305<\/h3>\n<\/p>\n

\u5728\u4f7f\u7528pandas<\/code>\u4e4b\u524d\uff0c\u60a8\u9700\u8981\u786e\u4fdd\u5b83\u5df2\u7ecf\u5b89\u88c5\u5728\u60a8\u7684Python\u73af\u5883\u4e2d\u3002\u901a\u5e38\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pip<\/code>\u547d\u4ee4\u6765\u5b89\u88c5pandas<\/code>\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662fAnaconda\u73af\u5883\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n
conda install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e9b\u547d\u4ee4\u4f1a\u81ea\u52a8\u4e0b\u8f7d\u5e76\u5b89\u88c5pandas<\/code>\u4ee5\u53ca\u6240\u6709\u5fc5\u8981\u7684\u4f9d\u8d56\u9879\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u5bfc\u5165Pandas\u5305<\/h3>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\uff08\u5982Jupyter Notebook\uff09\u4e2d\u5bfc\u5165pandas<\/code>\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u91cc\u7684pd<\/code>\u662f\u4e00\u4e2a\u5e38\u7528\u7684\u7b80\u5199\u540d\uff0c\u7528\u4e8e\u65b9\u4fbf\u8c03\u7528pandas<\/code>\u5e93\u4e2d\u7684\u51fd\u6570\u548c\u7c7b\u3002<\/p>\n<\/p>\n
\u4e09\u3001Pandas\u7684\u57fa\u672c\u529f\u80fd<\/h3>\n<\/p>\n
\u6570\u636e\u5206\u6790\u4e0e\u5904\u7406<\/h4>\n<\/p>\n
Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u5e93\uff0c\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60<\/a>\u4ee5\u53ca\u7edf\u8ba1\u5206\u6790\u4e2d\u3002\u5b83\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u7ed3\u6784\u548c\u64cd\u4f5c\u5de5\u5177\u6765\u7b80\u5316\u548c\u52a0\u901f\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n
    \n
  1. \n
    \u6570\u636e\u7ed3\u6784<\/strong><\/p>\n<\/p>\n
    Pandas\u4e3b\u8981\u63d0\u4f9b\u4e86\u4e24\u79cd\u6838\u5fc3\u6570\u636e\u7ed3\u6784\uff1aSeries<\/code>\u548cDataFrame<\/code>\u3002Series<\/code>\u662f\u4e00\u7ef4\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u4e00\u5217\u6570\u636e\uff0c\u800cDataFrame<\/code>\u662f\u4e8c\u7ef4\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u683c\u3002\u8fd9\u4e9b\u7ed3\u6784\u4f7f\u5f97\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u66f4\u52a0\u76f4\u89c2\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u6570\u636e\u8bfb\u53d6\u4e0e\u5199\u5165<\/strong><\/p>\n<\/p>\n
    Pandas\u652f\u6301\u4ece\u5404\u79cd\u6587\u4ef6\u683c\u5f0f\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5305\u62ecCSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u4ee5\u53caJSON\u7b49\u3002\u8bfb\u53d6\u6570\u636e\u7684\u51fd\u6570\u5982pd.read_csv()<\/code>\u3001pd.read_excel()<\/code>\u7b49\uff0c\u53ef\u4ee5\u5feb\u901f\u5c06\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u5bfc\u5165\u4e3aDataFrame\u8fdb\u884c\u5904\u7406\u3002\u7c7b\u4f3c\u5730\uff0c\u7ecf\u8fc7\u5206\u6790\u5904\u7406\u540e\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7DataFrame.to_csv()<\/code>\u3001DataFrame.to_excel()<\/code>\u7b49\u65b9\u6cd5\u5bfc\u51fa\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u6570\u636e\u6e05\u6d17<\/strong><\/p>\n<\/p>\n
    \u6570\u636e\u6e05\u6d17\u662f\u6570\u636e\u5206\u6790\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u4e00\u6b65\u3002Pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u7528\u4e8e\u5904\u7406\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\u3001\u6570\u636e\u8f6c\u6362\u7b49\u64cd\u4f5c\u3002\u4f8b\u5982\uff0cDataFrame.dropna()<\/code>\u7528\u4e8e\u5220\u9664\u7f3a\u5931\u503c\uff0cDataFrame.fillna()<\/code>\u7528\u4e8e\u586b\u8865\u7f3a\u5931\u503c\uff0c\u800cDataFrame.drop_duplicates()<\/code>\u7528\u4e8e\u5220\u9664\u91cd\u590d\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n
  4. \n
    \u6570\u636e\u64cd\u4f5c<\/strong><\/p>\n<\/p>\n
    Pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u64cd\u4f5c\u529f\u80fd\uff0c\u5305\u62ec\u6570\u636e\u8fc7\u6ee4\u3001\u9009\u62e9\u3001\u5206\u7ec4\u548c\u805a\u5408\u7b49\u3002\u4f7f\u7528\u6761\u4ef6\u9009\u62e9\u53ef\u4ee5\u5feb\u901f\u4ece\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u7279\u5b9a\u7684\u6570\u636e\u5b50\u96c6\uff0cgroupby()<\/code>\u51fd\u6570\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u7ec4\u5e76\u8fdb\u884c\u805a\u5408\u8ba1\u7b97\uff0c\u5982\u6c42\u548c\u3001\u5e73\u5747\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
  5. \n
    \u6570\u636e\u53ef\u89c6\u5316<\/strong><\/p>\n<\/p>\n
    \u867d\u7136Pandas\u672c\u8eab\u4e0d\u5177\u5907\u76f4\u63a5\u7684\u6570\u636e\u53ef\u89c6\u5316\u529f\u80fd\uff0c\u4f46\u5b83\u4e0eMatplotlib\u548cSeaborn\u7b49\u53ef\u89c6\u5316\u5e93\u9ad8\u5ea6\u517c\u5bb9\u3002\u901a\u8fc7\u8fd9\u4e9b\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u51fa\u6570\u636e\u7684\u76f4\u65b9\u56fe\u3001\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u53ef\u89c6\u5316\u56fe\u8868\uff0c\u5e2e\u52a9\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u56db\u3001Pandas\u7684\u9ad8\u7ea7\u5e94\u7528<\/h3>\n<\/p>\n
    \u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/h4>\n<\/p>\n
    Pandas\u5728\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65b9\u9762\u5177\u6709\u5f88\u5f3a\u7684\u4f18\u52bf\u3002\u5b83\u63d0\u4f9b\u4e86\u4e13\u95e8\u7684\u65f6\u95f4\u5e8f\u5217\u5904\u7406\u5de5\u5177\uff0c\u652f\u6301\u65e5\u671f\u683c\u5f0f\u8f6c\u6362\u3001\u65f6\u95f4\u7d22\u5f15\u3001\u65f6\u95f4\u7a97\u53e3\u7b49\u529f\u80fd\uff0c\u65b9\u4fbf\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u548c\u5efa\u6a21\u3002<\/p>\n<\/p>\n
    \u5408\u5e76\u4e0e\u91cd\u5851\u6570\u636e<\/h4>\n<\/p>\n
    Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5408\u5e76\u548c\u91cd\u5851\u529f\u80fd\u3002\u901a\u8fc7merge()<\/code>\u3001join()<\/code>\u3001concat()<\/code>\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u591a\u4e2a\u6570\u636e\u96c6\u8fdb\u884c\u5408\u5e76\u3002\u4f7f\u7528pivot_table()<\/code>\u548cmelt()<\/code>\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u91cd\u5851\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u7684\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
    \u6027\u80fd\u4f18\u5316<\/h4>\n<\/p>\n
    \u867d\u7136Pandas\u7684\u529f\u80fd\u975e\u5e38\u5f3a\u5927\uff0c\u4f46\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u6027\u80fd\u53ef\u80fd\u4f1a\u6210\u4e3a\u74f6\u9888\u3002\u901a\u8fc7\u5408\u7406\u4f7f\u7528\u5206\u5757\u8bfb\u53d6\u6570\u636e\u3001\u77e2\u91cf\u5316\u64cd\u4f5c\u3001\u4ee5\u53ca\u7ed3\u5408NumPy\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u6570\u636e\u5904\u7406\u7684\u6027\u80fd\u3002<\/p>\n<\/p>\n
    \u4e94\u3001Pandas\u7684\u751f\u6001\u7cfb\u7edf<\/h3>\n<\/p>\n
    Pandas\u662fPython\u6570\u636e\u79d1\u5b66\u751f\u6001\u7cfb\u7edf\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u4e0e\u5176\u4ed6\u5e93\u5982NumPy\u3001SciPy\u3001Matplotlib\u3001Seaborn\u7b49\u65e0\u7f1d\u96c6\u6210\u3002\u8fd9\u4f7f\u5f97Pandas\u4e0d\u4ec5\u9002\u7528\u4e8e\u6570\u636e\u5904\u7406\uff0c\u8fd8\u53ef\u4ee5\u5f88\u597d\u5730\u5e94\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
    \u516d\u3001\u7ed3\u8bba<\/h3>\n<\/p>\n
    Pandas\u662fPython\u4e2d\u8fdb\u884c\u6570\u636e\u5206\u6790\u7684\u5fc5\u5907\u5de5\u5177\u3002\u901a\u8fc7\u5b89\u88c5\u548c\u5bfc\u5165pandas\u5305<\/strong>\uff0c\u60a8\u53ef\u4ee5\u5229\u7528\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u4ece\u800c\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u79d1\u5b66\u7814\u7a76\u548c\u9879\u76ee\u5f00\u53d1\u3002\u5728\u5b66\u4e60\u548c\u638c\u63e1Pandas\u7684\u8fc7\u7a0b\u4e2d\uff0c\u4e0d\u4ec5\u8981\u4e86\u89e3\u5176\u57fa\u672c\u64cd\u4f5c\uff0c\u8fd8\u5e94\u6df1\u5165\u63a2\u7d22\u5176\u9ad8\u7ea7\u529f\u80fd\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u5e94\u7528\u4e8e\u5b9e\u9645\u9879\u76ee\u4e2d\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5b89\u88c5Pandas\u5e93\u4ee5\u4fbf\u5728Python\u4e2d\u4f7f\u7528\uff1f<\/strong>
    \u8981\u5728Python\u4e2d\u4f7f\u7528Pandas\u5e93\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5728\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\u4e2d\u5b89\u88c5\uff1a  <\/p>\n
    pip install pandas\n<\/code><\/pre>\n
    \u5b8c\u6210\u5b89\u88c5\u540e\uff0c\u60a8\u5c31\u53ef\u4ee5\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u5bfc\u5165Pandas\u5e93\u4e86\u3002<\/p>\n
    \u5728Python\u4e2d\u5982\u4f55\u6b63\u786e\u5bfc\u5165Pandas\u5e76\u4f7f\u7528\u5176\u529f\u80fd\uff1f<\/strong>
    \u8981\u5728Python\u4e2d\u5bfc\u5165Pandas\u5e93\uff0c\u8bf7\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n
    import pandas as pd\n<\/code><\/pre>\n
    \u5bfc\u5165\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pd<\/code>\u6765\u8bbf\u95eePandas\u5e93\u4e2d\u7684\u5404\u79cd\u529f\u80fd\u548c\u65b9\u6cd5\uff0c\u4f8b\u5982\u521b\u5efa\u6570\u636e\u6846\u3001\u8bfb\u53d6CSV\u6587\u4ef6\u7b49\u3002<\/p>\n
    \u5982\u679c\u5728\u5bfc\u5165Pandas\u65f6\u9047\u5230\u9519\u8bef\uff0c\u8be5\u5982\u4f55\u89e3\u51b3\uff1f<\/strong>
    \u5982\u679c\u5728\u5bfc\u5165Pandas\u5e93\u65f6\u51fa\u73b0\u9519\u8bef\uff0c\u9996\u5148\u68c0\u67e5\u662f\u5426\u5df2\u6b63\u786e\u5b89\u88c5\u8be5\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u8fd0\u884cpip show pandas<\/code>\u547d\u4ee4\u6765\u786e\u8ba4\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u6309\u7167\u4e0a\u8ff0\u5b89\u88c5\u6b65\u9aa4\u8fdb\u884c\u64cd\u4f5c\u3002\u6b64\u5916\uff0c\u786e\u4fdd\u60a8\u7684Python\u73af\u5883\u4e0ePandas\u5e93\u517c\u5bb9\uff0c\u7279\u522b\u662f\u5728\u4f7f\u7528\u865a\u62df\u73af\u5883\u65f6\uff0c\u786e\u4fdd\u5728\u6b63\u786e\u7684\u73af\u5883\u4e2d\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u5bfc\u5165pandas\u5305\uff0c\u60a8\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u8be5\u5305\uff0c\u7136\u540e\u4f7f\u7528import\u8bed\u53e5\u5bfc\u5165\u3002\u9996\u5148\uff0c\u786e\u8ba4\u5b89\u88c5p […]","protected":false},"author":3,"featured_media":1016198,"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\/1016188"}],"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=1016188"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1016188\/revisions"}],"predecessor-version":[{"id":1016199,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1016188\/revisions\/1016199"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1016198"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1016188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1016188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1016188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}