{"id":3196,"date":"2023-07-18T18:13:36","date_gmt":"2023-07-18T18:13:36","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-verite%e5%ba%8f%e5%88%97%e5%80%bc%e4%b8%8d%e6%98%8e%e7%a1%ae\/"},"modified":"2023-07-18T18:13:36","modified_gmt":"2023-07-18T18:13:36","slug":"python-verite%e5%ba%8f%e5%88%97%e5%80%bc%e4%b8%8d%e6%98%8e%e7%a1%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-verite%e5%ba%8f%e5%88%97%e5%80%bc%e4%b8%8d%e6%98%8e%e7%a1%ae\/","title":{"rendered":"\u5982\u4f55\u89e3\u51b3 pandas \u4e2d\u7684\u95ee\u9898\uff1a\u7cfb\u5217\u7684\u771f\u503c\u4e0d\u660e\u786e"},"content":{"rendered":"

<\/p>\n

\n

\u60a8\u5728 Python \u4e2d\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a<\/span><\/p>\n

 ValueError<\/span> : The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(),\n            a.any() or a.all().\n<\/strong><\/pre>\n
\u5f53\u60a8\u5c1d\u8bd5\u4f7f\u7528\u5355\u8bcdand<\/strong>\u548cor<\/strong>\u800c\u4e0d\u662f\u4f7f\u7528\u5b57\u7b26 &<\/strong>\u548c|<\/strong>\u6765\u8fc7\u6ee4 pandas DataFrame \u65f6\uff0c\u901a\u5e38\u4f1a\u53d1\u751f\u6b64\u9519\u8bef\u3002\u8fd0\u8425\u5546\u3002<\/span><\/p>\n
\u672c\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u89e3\u51b3\u6b64\u9519\u8bef\u3002<\/span><\/p>\n
\u5982\u4f55\u91cd\u73b0\u9519\u8bef<\/strong><\/h3>\n
\u5047\u8bbe\u6211\u4eec\u521b\u5efa\u4ee5\u4e0b pandas DataFrame\uff1a<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 A 19 7 10\n3 A 14 9 6\n4 B 14 12 6\n5 B 11 9 5\n6 B 20 9 9\n7 B 28 4 12\n<\/strong><\/span><\/pre>\n
\u73b0\u5728\u5047\u8bbe\u6211\u4eec\u5c1d\u8bd5\u8fc7\u6ee4\u56e2\u961f\u7b49\u4e8e\u201cA\u201d\u4e14<\/strong>\u5206\u6570\u5c0f\u4e8e 20 \u7684\u884c\uff1a<\/span><\/p>\n
 #attempt to filter DataFrame\n<\/span>df[(df[' team<\/span> '] == ' A<\/span> ') and<\/span> (df[' points<\/span> '] < 20<\/span> )]\n\nValueError<\/span> : The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(),\n            a.any() or a.all().\n<\/strong><\/span><\/pre>\n
\u6216\u8005\u5047\u8bbe\u6211\u4eec\u5c1d\u8bd5\u8fc7\u6ee4\u961f\u4f0d\u7b49\u4e8e\u201cA\u201d\u6216<\/b>\u5206\u6570\u5c0f\u4e8e 20 \u7684\u884c\uff1a<\/span><\/p>\n
 #attempt to filter DataFrame\n<\/span>df[(df['<\/span> team<\/span> '] == '<\/span> A<\/span> ')<\/span> or<\/span> (df['<\/span> points<\/span> '] <<\/span> 20<\/span> )]\n\n<\/span>ValueError<\/span> : The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(),\n            a.any() or a.all().<\/span><\/strong><\/span><\/pre>\n
\u5728\u8fd9\u4e24\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u90fd\u4f1a\u6536\u5230\u4e00\u4e2a\u9519\u8bef\uff0c\u544a\u8bc9\u6211\u4eec\u5e8f\u5217\u7684\u771f\u503c\u4e0d\u660e\u786e\u3002<\/span><\/p>\n
\u5982\u4f55\u4fee\u590d\u9519\u8bef<\/strong><\/h3>\n
\u4e3a\u4e86\u907f\u514d\u8fc7\u6ee4\u65f6\u51fa\u73b0\u6b64\u9519\u8bef\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u4f7f\u7528&<\/strong>\u548c|<\/strong>\u5143\u7d20\u3002\u8fd0\u8425\u5546\u3002<\/span><\/p>\n
\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8fc7\u6ee4 team \u7b49\u4e8e\u201cA\u201d\u4e14<\/strong>\u79ef\u5206\u5c0f\u4e8e 20 \u7684\u884c\uff1a<\/span><\/p>\n
 #filter DataFrame\n<\/span>df[(df['<\/span> team<\/span> '] == '<\/span> A<\/span> ')<\/span> &<\/span> (df['<\/span> points<\/span> '] <<\/span> 20<\/span> )]\n\n<\/span>team points assists rebounds\n0 A 18 5 11\n2 A 19 7 10\n3 A 14 9 6<\/span><\/strong><\/span><\/pre>\n
\u6216\u8005\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8fc7\u6ee4\u56e2\u961f\u7b49\u4e8e\u201cA\u201d\u6216<\/b>\u5206\u6570\u5c0f\u4e8e 20 \u7684\u884c\uff1a<\/span><\/p>\n
 #filter DataFrame\n<\/span>df[(df[' team<\/span> '] == ' A<\/span> ') |<\/span> (df[' points<\/span> '] < 20<\/span> )]\n\n        team points assists rebounds\n0 A 18 5 11\n1 to 22 7 8\n2 A 19 7 10\n3 A 14 9 6\n4 B 14 12 6\n5 B 11 9 5<\/strong><\/span><\/pre>\n
\u5728\u8fd9\u4e24\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u90fd\u4e0d\u4f1a\u6536\u5230\u9519\u8bef\uff0c\u56e0\u4e3a\u6211\u4eec\u4f7f\u7528\u4e86&<\/strong>\u548c|<\/strong>\u5143\u7d20\u3002\u8fd0\u8425\u5546\u3002<\/span><\/p>\n
\u6ce8\u610f<\/strong>\uff1a\u5f53\u6309\u591a\u4e2a\u6761\u4ef6\u8fc7\u6ee4 pandas DataFrame \u65f6\uff0c\u5728\u6bcf\u4e2a\u5355\u72ec\u7684\u6761\u4ef6\u5468\u56f4\u5305\u542b\u62ec\u53f7\u975e\u5e38\u91cd\u8981\uff0c\u5426\u5219\u60a8\u5c06\u6536\u5230\u9519\u8bef\u3002<\/span><\/p>\n
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u4fee\u590d Python \u4e2d\u7684\u5176\u4ed6\u5e38\u89c1\u9519\u8bef\uff1a<\/span><\/p>\n
\u5982\u4f55\u4fee\u590d\uff1a\u201cpandas\u201d\u6a21\u5757\u6ca1\u6709\u201cdataframe\u201d\u5c5e\u6027<\/a>
\u5982\u4f55\u5728 Pandas \u4e2d\u4fee\u590d\uff1aSettingWithCopyWarning<\/a>
 \u5982\u4f55\u4fee\u590d Pandas\uff1a\u7c7b\u578b\u9519\u8bef\uff1a\u6ca1\u6709\u8981\u7ed8\u5236\u7684\u6570\u5b57\u6570\u636e<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u60a8\u5728 Python \u4e2d\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u662f\uff1a ValueError : The truth value of a  […]<\/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-3196","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u89e3\u51b3 Pandas \u4e2d\u7684\u95ee\u9898\uff1a\u7cfb\u5217\u7684\u771f\u503c\u4e0d\u660e\u786e - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u4fee\u590d Python \u4e2d\u7684\u4ee5\u4e0b\u9519\u8bef\uff1aValueError\uff1a\u7cfb\u5217\u7684\u771f\u503c\u4e0d\u660e\u786e\u3002\u4f7f\u7528 a.empty\u3001a.bool()\u3001a.item()\u3001a.any() \u6216 a.all()\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/python-verite\u5e8f\u5217\u503c\u4e0d\u660e\u786e\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u89e3\u51b3 Pandas \u4e2d\u7684\u95ee\u9898\uff1a\u7cfb\u5217\u7684\u771f\u503c\u4e0d\u660e\u786e - 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