{"id":4156,"date":"2023-07-13T05:43:36","date_gmt":"2023-07-13T05:43:36","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e9%80%90%e8%a1%8c%e6%af%94%e8%be%83%e4%b8%a4%e4%b8%aa%e6%95%b0%e6%8d%ae%e5%b8%a7\/"},"modified":"2023-07-13T05:43:36","modified_gmt":"2023-07-13T05:43:36","slug":"pandas-%e9%80%90%e8%a1%8c%e6%af%94%e8%be%83%e4%b8%a4%e4%b8%aa%e6%95%b0%e6%8d%ae%e5%b8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e9%80%90%e8%a1%8c%e6%af%94%e8%be%83%e4%b8%a4%e4%b8%aa%e6%95%b0%e6%8d%ae%e5%b8%a7\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a dataframe"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a pandas DataFrame\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 1\uff1a\u6bd4\u8f83 DataFrame \u5e76\u4ec5\u4fdd\u7559\u6709\u5dee\u5f02\u7684\u884c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_diff = df1. <span style=\"color: #3366ff;\">compare<\/span> (df2, keep_equal= <span style=\"color: #008000;\">True<\/span> , align_axis= <span style=\"color: #008000;\">0<\/span> )\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5 2\uff1a\u6bd4\u8f83 DataFrame \u5e76\u4fdd\u7559\u6240\u6709\u884c<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df_diff = df1. <span style=\"color: #3366ff;\">compare<\/span> (df2, keep_equal= <span style=\"color: #008000;\">True<\/span> , keep_shape= <span style=\"color: #008000;\">True<\/span> , align_axis= <span style=\"color: #008000;\">0<\/span> )<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5c06\u6bcf\u79cd\u65b9\u6cd5\u4e0e\u4ee5\u4e0b pandas DataFrame \u4e00\u8d77\u4f7f\u7528\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#create first DataFrame\n<\/span>df1 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9]})\n\n<span style=\"color: #008000;\">print<\/span> (df1)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n\n<span style=\"color: #008080;\">#create second DataFrame\n<\/span>df2 = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'E'],\n                    ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 30, 19, 20],\n                    ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9]})\n\n<span style=\"color: #008000;\">print<\/span> (df2)\n\n  team points assists\n0 to 18 5\n1 B 30 7\n2 C 19 7\n3 E 20 9<\/strong><\/pre>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u6bd4\u8f83 DataFrame \u5e76\u4ec5\u4fdd\u7559\u6709\u5dee\u5f02\u7684\u884c<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4e0b\u9762\u7684\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a DataFrame \u5e76\u4ec5\u4fdd\u7559\u81f3\u5c11\u4e00\u5217\u4e2d\u5b58\u5728\u5dee\u5f02\u7684\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#compare DataFrames and only keep rows with differences\n<\/span>df_diff = df1. <span style=\"color: #3366ff;\">compare<\/span> (df2, keep_equal= <span style=\"color: #008000;\">True<\/span> , align_axis= <span style=\"color: #008000;\">0<\/span> )\n\n<span style=\"color: #008080;\">#view results\n<\/span><span style=\"color: #008000;\">print<\/span> (df_diff)\n\n        team points\n1 coil B 22\n  other B 30\n3 choke D 14\n  other E 20<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u770b\u5230 DataFrame \u6709\u4e24\u4e2a\u4e0d\u540c\u7684\u884c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u7279\u522b\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u6bcf\u4e2aDataFrame\u7684\u7d22\u5f15\u4f4d\u7f6e1\u548c3\u5904\u7684\u884c\u81f3\u5c11\u6709\u4e00\u5217\u5177\u6709\u4e0d\u540c\u7684\u503c\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>self<\/strong>\u884c\u4e2d\u7684\u503c\u663e\u793a\u7b2c\u4e00\u4e2a DataFrame \u7684\u503c\uff0c\u800c<strong>\u53e6\u4e00<\/strong>\u884c\u4e2d\u7684\u503c\u663e\u793a\u7b2c\u4e8c\u4e2a DataFrame \u7684\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u7b2c\u4e00\u4e2a DataFrame \u7d22\u5f15\u4f4d\u7f6e 1 \u5904\u7684\u884c\u5728\u7403\u961f\u5217\u4e2d\u5305\u542b<strong>B<\/strong> \uff0c\u5728\u70b9\u6570\u5217\u4e2d\u5305\u542b<strong>22<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c\u4e8c\u4e2a DataFrame \u7d22\u5f15\u4f4d\u7f6e 1 \u5904\u7684\u884c\u5728\u7403\u961f\u5217\u4e2d\u5305\u542b<strong>B<\/strong> \uff0c\u5728\u70b9\u6570\u5217\u4e2d\u5305\u542b<strong>30<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a <strong>keep_equal=True<\/strong>\u53c2\u6570\u544a\u8bc9 pandas \u4fdd\u6301\u503c\u76f8\u7b49\u3002\u5426\u5219\uff0c\u76f8\u7b49\u7684\u503c\u5c06\u663e\u793a\u4e3a NaN\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b 2\uff1a<\/strong><\/span><span style=\"color: #000000;\"><strong>\u6bd4\u8f83 DataFrame \u5e76\u4fdd\u7559\u6240\u6709\u884c<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u4ee3\u7801\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528<strong>keep_shape=True<\/strong>\u53c2\u6570\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a DataFrame \u5e76\u4fdd\u7559\u539f\u59cb DataFrame \u4e2d\u7684\u6240\u6709\u884c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#compare DataFrames and keep all rows\n<\/span>df_diff = df1. <span style=\"color: #3366ff;\">compare<\/span> (df2, keep_equal= <span style=\"color: #008000;\">True<\/span> , keep_shape= <span style=\"color: #008000;\">True<\/span> , align_axis= <span style=\"color: #008000;\">0<\/span> )\n\n<span style=\"color: #008080;\">#view results\n<\/span><span style=\"color: #008000;\">print<\/span> (df_diff)\n\n        team points assists\n0 choke A 18 5\n  other A 18 5\n1 coil B 22 7\n  other B 30 7\n2 choke C 19 7\n  other C 19 7\n3 choke D 14 9\n  other E 20 9<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u751f\u6210\u7684 DataFrame \u5305\u542b\u539f\u59cb DataFrame \u7684\u6240\u6709\u884c\u548c\u5217\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f#1<\/strong> \uff1a <strong>compare()<\/strong>\u51fd\u6570\u5047\u8bbe\u4e24\u4e2a DataFrame \u5177\u6709\u76f8\u540c\u7684\u7ef4\u5ea6\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>\u6ce8\u610f#2\uff1a<\/b>\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.compare.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 pandas <strong>Compare()<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u4efb\u52a1\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/\u6bd4\u8f83-pandas-\u4e2d\u7684\u4e24\u5217\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u6bd4\u8f83\u4e24\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6bd4\u8f83-pandas-\u4e2d\u7684\u4e09\u5217\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u6bd4\u8f83\u4e09\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6bd4\u8f83\u4e24\u4e2a\u6570\u636e\u6846\u4e2d\u7684\u5217\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u6bd4\u8f83\u4e24\u4e2a\u4e0d\u540c DataFrame \u4e2d\u7684\u5217<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a pandas DataFrame\uff1a \u65b9\u6cd5 1\uff1a\u6bd4\u8f83 DataFrame \u5e76\u4ec5\u4fdd [&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-4156","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>Pandas\uff1a\u5982\u4f55\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a DataFrame - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u51e0\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u9010\u884c\u6bd4\u8f83\u4e24\u4e2a pandas DataFrame \u4ee5\u68c0\u6d4b\u5dee\u5f02\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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