{"id":3727,"date":"2023-07-15T22:05:44","date_gmt":"2023-07-15T22:05:44","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e5%ad%97%e7%ac%a6%e4%b8%b2%e6%98%af%e5%90%a6%e5%8c%85%e5%90%ab%e5%a4%9a%e4%b8%aa%e5%ad%90%e5%ad%97%e7%ac%a6%e4%b8%b2\/"},"modified":"2023-07-15T22:05:44","modified_gmt":"2023-07-15T22:05:44","slug":"pandas-%e6%a3%80%e6%9f%a5%e5%ad%97%e7%ac%a6%e4%b8%b2%e6%98%af%e5%90%a6%e5%8c%85%e5%90%ab%e5%a4%9a%e4%b8%aa%e5%ad%90%e5%ad%97%e7%ac%a6%e4%b8%b2","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e5%ad%97%e7%ac%a6%e4%b8%b2%e6%98%af%e5%90%a6%e5%8c%85%e5%90%ab%e5%a4%9a%e4%b8%aa%e5%ad%90%e5%ad%97%e7%ac%a6%e4%b8%b2\/","title":{"rendered":"Pandas\uff1a\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u68c0\u67e5 pandas DataFrame \u4e2d\u7684\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32\u4e4b\u4e00<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">string_column<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">contains<\/span> (' <span style=\"color: #ff0000;\">|<\/span> ' <span style=\"color: #3366ff;\">.join<\/span> ([' <span style=\"color: #ff0000;\">string1<\/span> ',' <span style=\"color: #ff0000;\">string2<\/span> ']))\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e8c\uff1a\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">string_column<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">contains<\/span> ( <span style=\"color: #ff0000;\">r'^(?=.*string1)(?=.*string2)'<\/span> )<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u4ee5\u4e0b pandas DataFrame \u7684\u6bcf\u79cd\u65b9\u6cd5\uff1a<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><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> ': ['Good East Team', 'Good West Team', 'Great East Team',\n                             'Great West Team', 'Bad East Team', 'Bad West Team'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [93, 99, 105, 110, 85, 88]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n              team points\n0 Good East Team 93\n1 Good West Team 99\n2 Great East Team 105\n3 Great West Team 110\n4 Bad East Team 85\n5 Bad West Team 88\n<\/strong><\/span><\/pre>\n<h2><strong>\u793a\u4f8b<\/strong><strong>1\uff1a<span style=\"color: #000000;\">\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32\u4e4b\u4e00<\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u68c0\u67e5<strong>team<\/strong>\u5217\u4e2d\u7684\u6bcf\u4e2a\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u201cGood\u201d<strong>\u6216<\/strong>\u201cIs\u201d\u5b50\u5b57\u7b26\u4e32\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;\">#create new column that checks if each team name contains 'Good' or 'East'\n<\/span>df[' <span style=\"color: #ff0000;\">good_or_east<\/span> '] = df[' <span style=\"color: #ff0000;\">team<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">contains<\/span> (' <span style=\"color: #ff0000;\">|<\/span> ' <span style=\"color: #3366ff;\">.join<\/span> ([' <span style=\"color: #ff0000;\">Good<\/span> ',' <span style=\"color: #ff0000;\">East<\/span> ']))\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n              team points good_or_east\n0 Good East Team 93 True\n1 Good West Team 99 True\n2 Great East Team 105 True\n3 Great West Team 110 False\n4 Bad East Team 85 True\n5 Bad West Team 88 False<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b0\u7684<strong>good_or_east<\/strong>\u5217\u8fd4\u56de\u4ee5\u4e0b\u503c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c\u56e2\u961f\u5305\u542b\u201cGood\u201d\u6216\u201cIs\u201d\uff0c<strong>\u5219\u4e3a\u771f<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c\u56e2\u961f\u65e2\u4e0d\u5305\u542b\u201cGood\u201d\u4e5f\u4e0d\u5305\u542b\u201cIs\u201d\uff0c<strong>\u5219\u4e3a False<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>\u6ce8<\/strong>\uff1a <strong>|<\/strong>\u8fd0\u7b97\u7b26\u5728 pandas \u4e2d\u7684\u610f\u601d\u662f\u201c\u6216\u201d\u3002<\/span><\/p>\n<h2><strong>\u793a\u4f8b 2<\/strong> <strong>\uff1a<span style=\"color: #000000;\">\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32<\/span><\/strong><\/h2>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u68c0\u67e5<strong>team<\/strong>\u5217\u4e2d\u7684\u6bcf\u4e2a\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u5b50\u5b57\u7b26\u4e32\u201cGood\u201d<b>\u548c<\/b>\u201cIs\u201d\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;\">#create new column that checks if each team name contains 'Good' and 'East'<\/span>\ndf[' <span style=\"color: #ff0000;\">good_and_east<\/span> '] = df[' <span style=\"color: #ff0000;\">team<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">contains<\/span> ( <span style=\"color: #ff0000;\">r'^(?=.*Good)(?=.*East)'<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n              team points good_and_east\n0 Good East Team 93 True\n1 Good West Team 99 False\n2 Great East Team 105 False\n3 Great West Team 110 False\n4 Bad East Team 85 False\n5 Bad West Team 88 False<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u65b0\u5217<strong>good_and_east<\/strong>\u8fd4\u56de\u4ee5\u4e0b\u503c\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u5982\u679c\u56e2\u961f\u5305\u542b\u201cGood\u201d\u548c\u201cIs\u201d\uff0c<strong>\u5219\u4e3a\u771f<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u5982\u679c\u56e2\u961f\u4e0d\u5305\u542b\u201cGood\u201d\u548c\u201cIs\u201d\uff0c<strong>\u5219\u4e3a False<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u7531\u4e8e\u53ea\u6709\u4e00\u4e2a\u5305\u542b\u201cGood\u201d\u5b50\u5b57\u7b26\u4e32<strong>\u548c<\/strong>\u201cEast\u201d\u5b50\u5b57\u7b26\u4e32\u7684\u7403\u961f\u540d\u79f0\uff0c\u56e0\u6b64\u4ec5\u8fd4\u56de\u4e00\u4e2a<strong>True<\/strong>\u503c\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\/pandas-\u5c06\u4e00\u5217\u4ece\u4e00\u4e2a\u6570\u636e\u5e27\u6dfb\u52a0\u5230\u53e6\u4e00\u4e2a\u6570\u636e\u5e27\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5c06\u4e00\u5217\u4ece\u4e00\u4e2a DataFrame \u6dfb\u52a0\u5230\u53e6\u4e00\u4e2a DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/cn\/pandas-\u83b7\u53d6\u4e0d\u5728\u5176\u4ed6\u6570\u636e\u6846\u4e2d\u7684\u884c\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u83b7\u53d6\u4e0d\u5728\u53e6\u4e00\u4e2a DataFrame \u4e2d\u7684\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u68c0\u67e5\u591a\u5217\u662f\u5426\u76f8\u7b49\/\" target=\"_blank\" rel=\"noopener\">Pandas\uff1a\u5982\u4f55\u68c0\u67e5\u591a\u5217\u662f\u5426\u76f8\u7b49<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u68c0\u67e5 pandas DataFrame \u4e2d\u7684\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32\uff1a \u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u5b57\u7b26 [&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-3727","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\u68c0\u67e5\u5b57\u7b26\u4e32\u662f\u5426\u5305\u542b\u591a\u4e2a\u5b50\u5b57\u7b26\u4e32 \u2013 Statorials<\/title>\n<meta name=\"description\" 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