{"id":2487,"date":"2023-07-22T01:42:29","date_gmt":"2023-07-22T01:42:29","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e8%af%a5%e5%88%97%e6%98%af%e5%90%a6%e5%ad%98%e5%9c%a8\/"},"modified":"2023-07-22T01:42:29","modified_gmt":"2023-07-22T01:42:29","slug":"pandas-%e6%a3%80%e6%9f%a5%e8%af%a5%e5%88%97%e6%98%af%e5%90%a6%e5%ad%98%e5%9c%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e6%a3%80%e6%9f%a5%e8%af%a5%e5%88%97%e6%98%af%e5%90%a6%e5%ad%98%e5%9c%a8\/","title":{"rendered":"\u5982\u4f55\u68c0\u67e5 pandas \u4e2d\u662f\u5426\u5b58\u5728\u5217\uff08\u9644\u793a\u4f8b\uff09"},"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\u662f\u5426\u5b58\u5728\u5217\uff1a<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u5217\u662f\u5426\u5b58\u5728<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>' <span style=\"color: #ff0000;\">column1<\/span> ' <span style=\"color: #008000;\">in<\/span> df. <span style=\"color: #3366ff;\">columns\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5982\u679c DataFrame \u4e2d\u5b58\u5728\u201ccolumn1\u201d\uff0c\u5219\u8fd4\u56de<strong>True<\/strong> \uff0c\u5426\u5219\u8fd4\u56de<strong>False<\/strong> \u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u65b9\u6cd5\u4e8c\uff1a\u68c0\u67e5\u662f\u5426\u6709\u591a\u5217<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>{' <span style=\"color: #ff0000;\">column1<\/span> ', ' <span style=\"color: #ff0000;\">column2<\/span> '}. <span style=\"color: #3366ff;\">issubset<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> )<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u5982\u679c DataFrame \u4e2d\u5b58\u5728\u201ccolumn1\u201d<em>\u548c<\/em>\u201ccolumn2\u201d\uff0c\u5219\u8fd4\u56de<strong>True<\/strong> \uff0c\u5426\u5219\u8fd4\u56de<strong>False<\/strong> \u3002<\/span><\/p>\n<p><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><\/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;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\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><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b 1\uff1a\u68c0\u67e5\u5217\u662f\u5426\u5b58\u5728<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u67e5\u770b DataFrame \u4e2d\u662f\u5426\u5b58\u5728\u201cteam\u201d\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check if 'team' column exists in DataFrame\n<span style=\"color: #000000;\">' <span style=\"color: #ff0000;\">team<\/span> ' <span style=\"color: #008000;\">in<\/span> df. <span style=\"color: #3366ff;\">columns\n\n<span style=\"color: #000000;\">True<\/span><\/span><\/span>\n<\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">DataFrame \u4e2d\u5b58\u5728\u201cteam\u201d\u5217\uff0c\u56e0\u6b64 pandas \u8fd4\u56de<strong>True<\/strong>\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u201cteam\u201d\u5217\u5b58\u5728\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<strong>if<\/strong>\u8bed\u53e5\u6765\u6267\u884c\u64cd\u4f5c\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;\">#if 'team' exists, create new column called 'team_name'\n<\/span><span style=\"color: #008000;\">if<\/span> ' <span style=\"color: #ff0000;\">team<\/span> ' <span style=\"color: #008000;\">in<\/span> df. <span style=\"color: #3366ff;\">columns<\/span> :\n    df[' <span style=\"color: #ff0000;\">team_name<\/span> '] = df[' <span style=\"color: #ff0000;\">team<\/span> ']\n    \n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  team points assists rebounds team_name\n0 A 18 5 11 A\n1 B 22 7 8 B\n2 C 19 7 10 C\n3 D 14 9 6 D\n4 E 14 12 6 E\n5 F 11 9 5 F\n6 G 20 9 9 G\n7:28 a.m. 4:12 p.m.\n<\/span><\/span><\/strong><\/pre>\n<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b2\uff1a\u68c0\u67e5\u662f\u5426\u6709\u591a\u5217<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u67e5\u770b DataFrame \u4e2d\u662f\u5426\u5b58\u5728\u201cteam\u201d<em>\u548c<\/em>\u201cplayer\u201d\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check if 'team' and 'player' columns both exist in DataFrame<span style=\"color: #000000;\">\n{' <span style=\"color: #ff0000;\">team<\/span> ', ' <span style=\"color: #ff0000;\">player<\/span> '}. <span style=\"color: #3366ff;\">issubset<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> )\n\nFalse<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">DataFrame \u4e2d\u5b58\u5728\u201cteam\u201d\u5217\uff0c\u4f46\u4e0d\u5b58\u5728\u201cplayer\u201d\u5217\uff0c\u56e0\u6b64 pandas \u8fd4\u56de<strong>False<\/strong>\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u67e5\u770b DataFrame \u4e2d\u662f\u5426\u5b58\u5728\u201cpoints\u201d\u548c\u201cassists\u201d\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#check if 'points' and 'assists' columns both exist in DataFrame<span style=\"color: #000000;\">\n{' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> '}. <span style=\"color: #3366ff;\">issubset<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> )\n\nTrue<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u4e24\u5217\u90fd\u5b58\u5728\uff0c\u56e0\u6b64 pandas \u8fd4\u56de<strong>True<\/strong>\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5982\u679c\u201c\u70b9\u201d\u548c\u201c\u5e2e\u52a9\u8005\u201d\u5b58\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<strong>if<\/strong>\u8bed\u53e5\u6765\u6267\u884c\u64cd\u4f5c\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;\">#if both exist, create new column called 'total' that finds sum of points and assists\n<\/span><span style=\"color: #008000;\">if<\/span> {' <span style=\"color: #ff0000;\">points<\/span> ', ' <span style=\"color: #ff0000;\">assists<\/span> '}. <span style=\"color: #3366ff;\">issubset<\/span> ( <span style=\"color: #3366ff;\">df.columns<\/span> ):\n    df[' <span style=\"color: #ff0000;\">total<\/span> '] = df[' <span style=\"color: #ff0000;\">points<\/span> '] + df[' <span style=\"color: #ff0000;\">assists<\/span> ']\n    \n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n     team points assists rebounds total\n0 A 18 5 11 23\n1 B 22 7 8 29\n2 C 19 7 10 26\n3 D 14 9 6 23\n4 E 14 12 6 26\n5 F 11 9 5 20\n6 G 20 9 9 29\n7:28 4 12 32\n<\/span><\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u7531\u4e8e\u201cpoints\u201d\u548c\u201cassists\u201d\u90fd\u5b58\u5728\u4e8e DataFrame \u4e2d\uff0cpandas \u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3a\u201ctotal\u201d\u7684\u65b0\u5217\uff0c\u5b83\u663e\u793a\u201cpoints\u201d\u548c\u201cassists\u201d\u5217\u7684\u603b\u548c\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\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u82b1\u56ed\u67f1\u5b50\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u4fdd\u7559 Pandas \u4e2d\u7684\u67d0\u4e9b\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u6309\u7d22\u5f15\u9009\u62e9\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6309\u7d22\u5f15\u9009\u62e9\u5217<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u79fb\u4f4d\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u79fb\u52a8 Pandas \u4e2d\u7684\u5217<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\u6765\u68c0\u67e5 pandas DataFrame \u4e2d\u662f\u5426\u5b58\u5728\u5217\uff1a \u65b9\u6cd5\u4e00\uff1a\u68c0\u67e5\u5217\u662f\u5426\u5b58\u5728 &#8216; col 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