{"id":217,"date":"2023-10-06T06:59:38","date_gmt":"2023-03-05T21:37:34","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/index.php\/2023\/11\/30\/python%e7%9a%84shape%e6%96%b9%e6%b3%95-%e4%bd%a0%e9%9c%80%e8%a6%81%e7%9f%a5%e9%81%93%e7%9a%84%e4%b8%80%e5%88%87%ef%bc%81\/"},"modified":"2025-08-01T02:31:29","modified_gmt":"2025-07-31T18:31:29","slug":"python%e7%9a%84shape%e6%96%b9%e6%b3%95-%e4%bd%a0%e9%9c%80%e8%a6%81%e7%9f%a5%e9%81%93%e7%9a%84%e4%b8%80%e5%88%87%ef%bc%81","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/python%e7%9a%84shape%e6%96%b9%e6%b3%95-%e4%bd%a0%e9%9c%80%e8%a6%81%e7%9f%a5%e9%81%93%e7%9a%84%e4%b8%80%e5%88%87%ef%bc%81\/","title":{"rendered":"Python shape() \u65b9\u6cd5\u8be6\u89e3\uff1a\u6570\u7ec4\u7ef4\u5ea6\u3001\u6570\u636e\u7ed3\u6784\u4e0e\u5e94\u7528\u573a\u666f\u5168\u89e3\u6790"},"content":{"rendered":"

\u5927\u5bb6\u597d\uff0c\u672c\u7bc7\u6587\u7ae0\u4e3b\u8981\u4ecb\u7ecdPython\u7684shape()<\/code>\u65b9\u6cd5\u53ca\u5176\u5728\u7f16\u7a0b\u4e2d\u7684\u5e94\u7528\u53d8\u4f53\uff0c\u5e76\u9644\u5e26\u8be6\u7ec6\u793a\u4f8b\u3002<\/p>\n

\u90a3\u4e48\uff0c\u8ba9\u6211\u4eec\u5f00\u59cb\u5427\uff01<\/p>\n

\n

\u4f7f\u7528Python\u7684shape()<\/code>\u65b9\u6cd5<\/h2>\n

\u5728\u5bf9\u6570\u636e\u53ca\u5176\u53d8\u4f53\u8fdb\u884c\u5206\u6790\u65f6\uff0c\u4e86\u89e3\u6570\u636e\u7684\u89c4\u6a21\u81f3\u5173\u91cd\u8981\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5728\u8ba1\u5212\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u6790\u548c\u7efc\u5408\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u660e\u786e\u6570\u636e\u7684\u7ef4\u5ea6\u3002<\/p>\n

Python\u7684shape()<\/code>\u65b9\u6cd5\u6b63\u662f\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u53d1\u6325\u4f5c\u7528\u3002<\/p>\n

\u901a\u8fc7shape()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u83b7\u53d6\u4efb\u4f55Python\u5bf9\u8c61\u7684\u7ef4\u5ea6\u3002\u5b83\u4f1a\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\u503c\uff0c\u8868\u793aPython\u5bf9\u8c61\u7684\u7ef4\u5ea6\u4fe1\u606f\u3002<\/p>\n

\u4e3a\u4e86\u7406\u89e3\u8f93\u51fa\u7ed3\u679c\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7shape()<\/code>\u65b9\u6cd5\u8fd4\u56de\u7684\u5143\u7ec4\u6765\u83b7\u53d6\u5bf9\u8c61\u7684\u7ef4\u5ea6\u6570\u91cf\uff0c\u5143\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u503c\u4ee3\u8868\u4e00\u4e2a\u7ef4\u5ea6\u7684\u5927\u5c0f\u3002<\/p>\n

\u901a\u5e38\uff0c\u5728\u66f4\u5e7f\u6cdb\u7684\u5e94\u7528\u4e2d\uff0cshape()<\/code>\u65b9\u6cd5\u4e3b\u8981\u7528\u4e8e\u83b7\u53d6Pandas\u548cNumPy\u7c7b\u578b\u5bf9\u8c61\u5728Python\u4e2d\u7684\u5c3a\u5bf8\u3002<\/p>\n

\u5143\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u503c\u90fd\u4e0e\u6570\u7ec4\u6216\u884c\/\u5217\u7684\u5b9e\u9645\u5c3a\u5bf8\u76f8\u5bf9\u5e94\u3002<\/p>\n

\u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u6765\u770b\u4e00\u4e0b\u63a5\u4e0b\u6765\u7684\u90e8\u5206\u4e2dshape()<\/code>\u65b9\u6cd5\u7684\u4e0d\u540c\u53d8\u4f53\u3002<\/p>\n

\n

\u53d8\u4f53\u4e00\uff1aPandas\u7684.shape<\/code>\u5c5e\u6027<\/h2>\n

\u5f53\u6211\u4eec\u5c1d\u8bd5\u5c06Pandas\u7c7b\u578b\u5bf9\u8c61\u4e0e.shape<\/code>\u5c5e\u6027\u5173\u8054\u4ee5\u67e5\u627e\u5176\u7ef4\u5ea6\u65f6\uff0c\u5b83\u4f1a\u8fd4\u56de\u4e00\u4e2a\u5143\u7ec4\uff0c\u5176\u4e2d\u5305\u542b\u884c\u6570\u548c\u5217\u6570\u4f5c\u4e3a\u7ef4\u5ea6\u503c\u3002<\/p>\n

\u8bed\u6cd5:<\/h3>\n
dataframe.shape\r\n<\/code><\/pre>\n
\u901a\u5e38\u6211\u4eec\u5c06.shape<\/code>\u5c5e\u6027\u4e0ePandas\u6570\u636e\u5e27\u5173\u8054\uff0c\u4ee5\u83b7\u53d6\u5176\u7ef4\u5ea6\u3002<\/p>\n
\u793a\u4f8b01\uff1a<\/h3>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528DataFrame()<\/code>\u65b9\u6cd5\u4ece\u4e00\u4e2aPython\u5217\u8868\u521b\u5efa\u4e86\u4e00\u4e2a\u6570\u636e\u5e27\u3002\u4e4b\u540e\uff0c\u6211\u4eec\u4f7f\u7528dataframe.shape<\/code>\u6765\u68c0\u67e5\u5176\u7ef4\u5ea6\u3002<\/p>\n
\u7531\u4e8e\u6211\u4eec\u4f20\u9012\u7684\u6570\u636e\u6709\u4e24\u884c\u4e24\u5217\uff082×2\uff09\uff0c.shape<\/code>\u5c5e\u6027\u4f1a\u8fd4\u56de\u884c\u6570\u548c\u5217\u6570\u4f5c\u4e3a\u7ed3\u679c\u3002<\/p>\n
import<\/span> pandas as<\/span> pd \r\n \r\ndata =<\/span>[<\/span>[<\/span>'P'<\/span>,<\/span>'Q'<\/span>]<\/span>,<\/span> [<\/span>0<\/span>,<\/span> 1<\/span>]<\/span>]<\/span>\r\n \r\ndata_frame =<\/span> pd.<\/span>DataFrame(<\/span>data)<\/span>\r\n \r\nprint<\/span>(<\/span>data_frame)<\/span>\r\nprint<\/span>(<\/span>\"Shape of the data frame:\"<\/span>)<\/span>\r\nprint<\/span>(<\/span>data_frame.<\/span>shape)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa:<\/h3>\n
 0<\/span>  1<\/span>\r\n0<\/span>  P  Q\r\n1<\/span>  0<\/span>  1<\/span>\r\nShape of the data frame:<\/span>\r\n(<\/span>2<\/span>,<\/span> 2<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u793a\u4f8b02\uff1a<\/h3>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528DataFrame()<\/code>\u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a\u7a7a\u7684\u6570\u636e\u5e27\u3002\u7136\u540e\uff0c\u901a\u8fc7\u4f7f\u7528.shape<\/code>\u5c5e\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u7a7a\u6570\u636e\u5e27\u7684\u7ef4\u5ea6\u3002<\/p>\n
import<\/span> pandas as<\/span> pd \r\n \r\ndata_frame =<\/span> pd.<\/span>DataFrame(<\/span>)<\/span>\r\n \r\nprint<\/span>(<\/span>data_frame)<\/span>\r\nprint<\/span>(<\/span>\"Shape of the data frame:\"<\/span>)<\/span>\r\nprint<\/span>(<\/span>data_frame.<\/span>shape)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa\uff1a<\/h3>\n
Empty DataFrame\r\nColumns:<\/span> [<\/span>]<\/span>\r\nIndex:<\/span> [<\/span>]<\/span>\r\nShape of the data frame:<\/span>\r\n(<\/span>0<\/span>,<\/span> 0<\/span>)<\/span>\r\n<\/code><\/pre>\n
\n
\u53d8\u4f53\u4e8c\uff1aNumPy\u7684.shape<\/code>\u5c5e\u6027<\/h2>\n
\u5728\u4f7f\u7528NumPy\u6570\u636e\u7ed3\u6784\u65f6\uff0c\u6211\u4eec\u4ee5\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u50a8\u6570\u636e\u5143\u7d20\u3002\u5f53\u6211\u4eec\u5c06.shape<\/code>\u5c5e\u6027\u4e0eNumPy\u6570\u7ec4\u5173\u8054\u65f6\uff0c\u6570\u7ec4\u7684\u7ef4\u5ea6\u4f1a\u4ee5\u5143\u7ec4\u7684\u5f62\u5f0f\u8868\u793a\u3002<\/p>\n
\u8bed\u6cd5\uff1a<\/h3>\n
array.shape\r\n<\/code><\/pre>\n
\u793a\u4f8b01\uff1a<\/h3>\n
\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u6ca1\u6709\u7ef4\u5ea6\u7684NumPy\u6570\u7ec4\uff08\u5373\u4e00\u4e2a\u6807\u91cf\uff09\u3002\u63a5\u7740\uff0c\u6211\u4eec\u5bf9\u8fd9\u4e2a\u6570\u7ec4\u5e94\u7528\u4e86.shape<\/code>\u5c5e\u6027\u6765\u83b7\u53d6\u6240\u521b\u5efa\u6570\u7ec4\u7684\u7ef4\u5ea6\u3002<\/p>\n
import<\/span> numpy as<\/span> np\r\n\r\nar =<\/span> np.<\/span>array(<\/span>0<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>ar)<\/span>\r\nprint<\/span>(<\/span>\"Shape of the array:\"<\/span>)<\/span>\r\nprint<\/span>(<\/span>ar.<\/span>shape)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa\uff1a<\/h3>\n
0<\/span>\r\nShape of the array:<\/span>\r\n(<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u793a\u4f8b02\uff1a<\/h3>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2aNumPy\u6570\u7ec4\u5e76\u5411\u5176\u4e2d\u6dfb\u52a0\u4e86\u5143\u7d20\u3002\u8fd9\u662f\u901a\u8fc7\u4f7f\u7528numpy.array()<\/code>\u51fd\u6570\u5b9e\u73b0\u7684\u3002\u73b0\u5728\uff0c\u6211\u4eec\u5bf9\u6570\u7ec4\u5143\u7d20\u5e94\u7528.shape<\/code>\u5c5e\u6027\u3002<\/p>\n
import<\/span> numpy as<\/span> np\r\n\r\nar =<\/span> np.<\/span>array(<\/span>[<\/span>[<\/span>12<\/span>,<\/span>20<\/span>]<\/span> ,<\/span>[<\/span>13<\/span>,<\/span>15<\/span>]<\/span>]<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>ar)<\/span>\r\nprint<\/span>(<\/span>\"Shape of the array:\"<\/span>)<\/span>\r\nprint<\/span>(<\/span>ar.<\/span>shape)<\/span>\r\n<\/code><\/pre>\n
\u8f93\u51fa\uff1a<\/h3>\n
[<\/span>[<\/span>12<\/span> 20<\/span>]<\/span>\r\n [<\/span>13<\/span> 15<\/span>]<\/span>]<\/span>\r\nShape of the array:<\/span>\r\n(<\/span>2<\/span>,<\/span> 2<\/span>)<\/span>\r\n<\/code><\/pre>\n
\n
\u7ed3\u8bba<\/h2>\n
\u81f3\u6b64\uff0c\u6211\u4eec\u5df2\u7ecf\u7ed3\u675f\u4e86\u5173\u4e8ePython shape()<\/code>\u65b9\u6cd5\u7684\u8ba8\u8bba\u3002\u5982\u679c\u60a8\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u8bf7\u968f\u65f6\u5728\u4e0b\u65b9\u7559\u8a00\u3002<\/p>\n
\u5173\u4e8eKubernetes\u7684\u66f4\u591a\u7c7b\u4f3c\u6587\u7ae0\uff0c\u8bf7\u6301\u7eed\u5173\u6ce8\u6211\u4eec\u3002<\/p>\n
\u5728\u6b64\u4e4b\u524d\uff0c\u795d\u60a8\u5b66\u4e60\u6109\u5feb\uff01:)<\/p>\n","protected":false},"excerpt":{"rendered":"
\u5927\u5bb6\u597d\uff0c\u672c\u7bc7\u6587\u7ae0\u4e3b\u8981\u4ecb\u7ecdPython\u7684shape()\u65b9\u6cd5\u53ca\u5176\u5728\u7f16\u7a0b\u4e2d\u7684\u5e94\u7528\u53d8\u4f53\uff0c\u5e76\u9644\u5e26\u8be6\u7ec6\u793a\u4f8b\u3002 \u90a3\u4e48\uff0c\u8ba9\u6211\u4eec […]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[272,32,839,252,840],"class_list":["post-217","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-numpy","tag-python","tag-shape","tag-252","tag-840"],"yoast_head":"\nPython shape() \u65b9\u6cd5\u8be6\u89e3\uff1a\u6570\u7ec4\u7ef4\u5ea6\u3001\u6570\u636e\u7ed3\u6784\u4e0e\u5e94\u7528\u573a\u666f\u5168\u89e3\u6790 - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"\u6df1\u5165\u63a2\u7d22Python\u4e2dshape()\u65b9\u6cd5\u7684\u5965\u79d8\uff0c\u4ece\u57fa\u7840\u6982\u5ff5\u5230\u9ad8\u7ea7\u5e94\u7528\uff0c\u5168\u9762\u89e3\u6790\u5176\u5728NumPy\u6570\u7ec4\u3001Pandas\u6570\u636e\u6846\u7b49\u6570\u636e\u7ed3\u6784\u4e2d\u83b7\u53d6\u7ef4\u5ea6\u4fe1\u606f\u7684\u4f5c\u7528\u3002\u638c\u63e1shape()\uff0c\u63d0\u5347\u6570\u636e\u5904\u7406\u6548\u7387\uff0c\u4e3a\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9879\u76ee\u6253\u4e0b\u575a\u5b9e\u57fa\u7840\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:\/\/www.silicloud.com\/zh\/blog\/python\u7684shape\u65b9\u6cd5-\u4f60\u9700\u8981\u77e5\u9053\u7684\u4e00\u5207\uff01\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python shape() \u65b9\u6cd5\u8be6\u89e3\uff1a\u6570\u7ec4\u7ef4\u5ea6\u3001\u6570\u636e\u7ed3\u6784\u4e0e\u5e94\u7528\u573a\u666f\u5168\u89e3\u6790\" \/>\n<meta property=\"og:description\" content=\"\u6df1\u5165\u63a2\u7d22Python\u4e2dshape()\u65b9\u6cd5\u7684\u5965\u79d8\uff0c\u4ece\u57fa\u7840\u6982\u5ff5\u5230\u9ad8\u7ea7\u5e94\u7528\uff0c\u5168\u9762\u89e3\u6790\u5176\u5728NumPy\u6570\u7ec4\u3001Pandas\u6570\u636e\u6846\u7b49\u6570\u636e\u7ed3\u6784\u4e2d\u83b7\u53d6\u7ef4\u5ea6\u4fe1\u606f\u7684\u4f5c\u7528\u3002\u638c\u63e1shape()\uff0c\u63d0\u5347\u6570\u636e\u5904\u7406\u6548\u7387\uff0c\u4e3a\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9879\u76ee\u6253\u4e0b\u575a\u5b9e\u57fa\u7840\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/python\u7684shape\u65b9\u6cd5-\u4f60\u9700\u8981\u77e5\u9053\u7684\u4e00\u5207\uff01\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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