{"id":2424,"date":"2023-07-22T08:18:35","date_gmt":"2023-07-22T08:18:35","guid":{"rendered":"https:\/\/statorials.org\/cn\/%e5%8f%aa%e8%83%bd%e5%b0%86-str-%e8%ae%bf%e9%97%ae%e5%99%a8%e4%b8%8e%e5%ad%97%e7%ac%a6%e4%b8%b2%e5%80%bc%e4%b8%80%e8%b5%b7%e4%bd%bf%e7%94%a8\/"},"modified":"2023-07-22T08:18:35","modified_gmt":"2023-07-22T08:18:35","slug":"%e5%8f%aa%e8%83%bd%e5%b0%86-str-%e8%ae%bf%e9%97%ae%e5%99%a8%e4%b8%8e%e5%ad%97%e7%ac%a6%e4%b8%b2%e5%80%bc%e4%b8%80%e8%b5%b7%e4%bd%bf%e7%94%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/%e5%8f%aa%e8%83%bd%e5%b0%86-str-%e8%ae%bf%e9%97%ae%e5%99%a8%e4%b8%8e%e5%ad%97%e7%ac%a6%e4%b8%b2%e5%80%bc%e4%b8%80%e8%b5%b7%e4%bd%bf%e7%94%a8\/","title":{"rendered":"\u5982\u4f55\u4fee\u590d\uff1a\u53ea\u80fd\u4f7f\u7528\u5e26\u6709\u5b57\u7b26\u4e32\u503c\u7684 .str \u8bbf\u95ee\u5668"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u4f7f\u7528Python\u65f6\u53ef\u80fd\u4f1a\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #ff0000;\">AttributeError<\/span> : Can only use .str accessor with string values!\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5f53\u60a8\u5c1d\u8bd5\u66ff\u6362 pandas DataFrame \u7684\u5b57\u7b26\u4e32\u5217\u4e2d\u7684\u6a21\u5f0f\uff0c\u4f46\u60a8\u6b63\u5728\u4f7f\u7528\u7684\u5217\u5b9e\u9645\u4e0a\u4e0d\u662f\u5b57\u7b26\u4e32\u65f6\uff0c\u901a\u5e38\u4f1a\u53d1\u751f\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u7ea0\u6b63\u6b64\u9519\u8bef\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5982\u4f55\u91cd\u73b0\u9519\u8bef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [6.5, 7.8, 8.0, 9.0, 7.5, 3.4, 6.6, 6.8],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 6.5 5 11\n1 A 7.8 7 8\n2 A 8.0 7 10\n3 A 9.0 9 6\n4 B 7.5 12 6\n5 B 3.4 9 5\n6 B 6.6 9 9\n7 B 6.8 4 12<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u73b0\u5728\u5047\u8bbe\u6211\u4eec\u5c1d\u8bd5\u7528\u7a7a\u683c\u66ff\u6362\u201cpoints\u201d\u5217\u4e2d\u7684\u6bcf\u4e2a\u5c0f\u6570\u4f4d\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#attempt to replace decimal in \"points\" column with a blank\n<\/span>df[' <span style=\"color: #ff0000;\">points<\/span> '] = df[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">replace<\/span> (' <span style=\"color: #ff0000;\">.<\/span> ', '')\n\n<span style=\"color: #ff0000;\">AttributeError<\/span> : Can only use .str accessor with string values! \n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u6536\u5230\u9519\u8bef\uff0c\u56e0\u4e3a\u201cpoints\u201d\u5217\u4e0d\u662f\u5b57\u7b26\u4e32\u5217\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5982\u4f55\u4fee\u590d\u9519\u8bef<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u89e3\u51b3\u6b64\u9519\u8bef\u7684\u6700\u7b80\u5355\u65b9\u6cd5\u662f\u5728\u5c1d\u8bd5\u66ff\u6362\u201cpoints\u201d\u5217\u4e2d\u7684\u503c\u4e4b\u524d\u4f7f\u7528<strong>.astype(str)<\/strong>\u51fd\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#replace decimal in \"points\" column with a blank\n<\/span>df[' <span style=\"color: #ff0000;\">points<\/span> '] = df[' <span style=\"color: #ff0000;\">points<\/span> ']. <span style=\"color: #3366ff;\">astype<\/span> (str). <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">replace<\/span> (' <span style=\"color: #ff0000;\">.<\/span> ', '')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\tteam points assists rebounds\n0 A 65 5 11\n1 A 78 7 8\n2 A 80 7 10\n3 A 90 9 6\n4 B 75 12 6\n5 B 34 9 5\n6 B 66 9 9\n7 B 68 4 12<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u201cpoints\u201d\u5217\u4e2d\u7684\u6bcf\u4e2a\u5c0f\u6570\u4f4d\u90fd\u5df2\u88ab\u66ff\u6362\uff0c\u5e76\u4e14\u6211\u4eec\u6ca1\u6709\u6536\u5230\u4efb\u4f55\u9519\u8bef\uff0c\u56e0\u4e3a\u6211\u4eec\u5728\u5c1d\u8bd5\u66ff\u6362\u201cpoints\u201d\u5217\u4e2d\u7684\u503c\u4e4b\u524d\u4f7f\u7528\u4e86<strong>.astype(str)<\/strong>\u51fd\u6570\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.Series.str.replace.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230<strong>replace()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4fee\u590d Python \u4e2d\u7684\u5176\u4ed6\u5e38\u89c1\u9519\u8bef\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u5173\u952e\u9519\u8bef\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d Pandas \u4e2d\u7684 KeyError<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/valueerror-\u65e0\u6cd5\u5c06-float-nan-\u8f6c\u6362\u4e3a\u6574\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u65e0\u6cd5\u5c06 float NaN \u8f6c\u6362\u4e3a int<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/\u64cd\u4f5c\u6570\u65e0\u6cd5\u7528\u4ee5\u4e0b\u5f62\u5f0f\u5e7f\u64ad\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fee\u590d\uff1aValueError\uff1a\u64cd\u4f5c\u6570\u65e0\u6cd5\u4e0e\u5f62\u72b6\u4e00\u8d77\u5e7f\u64ad<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f7f\u7528Python\u65f6\u53ef\u80fd\u4f1a\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a AttributeError : Can only use .str  [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2424","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u5982\u4f55\u4fee\u590d\uff1a\u53ea\u80fd\u4f7f\u7528\u5e26\u6709\u5b57\u7b26\u4e32\u503c\u7684 .str \u8bbf\u95ee\u5668 - Statorials<\/title>\n<meta name=\"description\" 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