{"id":174946,"date":"2024-05-08T18:41:04","date_gmt":"2024-05-08T10:41:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/174946.html"},"modified":"2024-05-08T18:41:10","modified_gmt":"2024-05-08T10:41:10","slug":"python%e5%a6%82%e4%bd%95%e8%ae%be%e5%ae%9a%e4%b8%80%e4%b8%aa%e5%88%9d%e5%a7%8b%e5%80%bc%e4%b8%ba255%e7%9a%84%e7%9f%a9%e9%98%b5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/174946.html","title":{"rendered":"python\u5982\u4f55\u8bbe\u5b9a\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/27052729\/af75b426-e664-4c45-80ea-26d4f9a2e7e5.webp\" alt=\"python\u5982\u4f55\u8bbe\u5b9a\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\" \/><\/p>\n<p><p><strong>Python\u4e2d\u8bbe\u5b9a\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\u53ef\u901a\u8fc7Numpy\u5e93\u5b9e\u73b0\u3001\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5b9e\u73b0\u3001\u5229\u7528array\u6a21\u5757\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528Numpy\u5e93\u662f\u6700\u5e38\u89c1\u4e14\u6548\u7387\u6700\u9ad8\u7684\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u4e00\u4e2a3&#215;3\u7684\u5168\u90e8\u5143\u7d20\u4e3a255\u7684\u77e9\u9635\u53ef\u4ee5\u4f7f\u7528<code>numpy.full((3, 3), 255)<\/code>\u6765\u5b9e\u73b0\u3002Numpy\u5e93\u63d0\u4f9b\u7684<code>full<\/code>\u51fd\u6570\u975e\u5e38\u9002\u5408\u8fd9\u79cd\u9700\u6c42\uff0c\u5141\u8bb8\u6211\u4eec\u5feb\u901f\u586b\u5145\u5177\u6709\u6307\u5b9a\u503c\u7684\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5728Python\u4e2d\u4f7f\u7528\u4e0d\u540c\u65b9\u6cd5\u6765\u521b\u5efa\u4e00\u4e2a\u6240\u6709\u5143\u7d20\u90fd\u4e3a255\u7684\u77e9\u9635\uff0c\u5e76\u89e3\u91ca\u6bcf\u79cd\u65b9\u6cd5\u7684\u7528\u6cd5\u53ca\u5176\u4f18\u7f3a\u70b9\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528NUMPY\u5e93<\/h3>\n<\/p>\n<p><p>Numpy\u662fPython\u4e2d\u7528\u4e8e\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5305\u3002\u521b\u5efa\u7279\u5b9a\u503c\u7684\u77e9\u9635\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u9700\u6c42\uff0c\u800cNumpy\u4e3a\u6b64\u63d0\u4f9b\u4e86\u975e\u5e38\u4fbf\u6377\u7684\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><p><strong>\u521b\u5efa\u77e9\u9635\uff1a<\/strong><\/p>\n<p>\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165Numpy\u5e93\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>numpy.full<\/code>\u51fd\u6570\u6765\u8bbe\u5b9a\u77e9\u9635\u7684\u7ef4\u6570\u548c\u521d\u59cb\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a3x3\u7684\u77e9\u9635\uff0c\u6240\u6709\u5143\u7d20\u5747\u4e3a255<\/strong><\/h2>\n<p>matrix_255 = np.full((3, 3), 255)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u7ec6\u7528\u6cd5\uff1a<\/strong><\/p>\n<p><code>np.full<\/code>\u51fd\u6570\u7684\u7b2c\u4e00\u4e2a\u53c2\u6570\u5b9a\u4e49\u4e86\u77e9\u9635\u7684\u5f62\u72b6\uff0c\u4f8b\u5982<code>(3, 3)<\/code>\u4ee3\u88683\u884c3\u5217\u7684\u77e9\u9635\u3002\u7b2c\u4e8c\u4e2a\u53c2\u6570\u662f\u586b\u5145\u7684\u503c\uff0c\u5728\u8fd9\u91cc\u662f255\u3002\u53ef\u4ee5\u6839\u636e\u9700\u8981\u521b\u5efa\u4efb\u4f55\u7ef4\u5ea6\u7684\u77e9\u9635\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u63a8\u5bfc<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u672a\u5b89\u88c5Numpy\u6216\u5e0c\u671b\u907f\u514d\u4f7f\u7528\u5916\u90e8\u5e93\u7684\u60c5\u51b5\uff0c\u53ef\u4ee5\u5229\u7528Python\u5185\u5efa\u7684\u5217\u8868\u63a8\u5bfc\u65b9\u6cd5\u6765\u521b\u5efa\u77e9\u9635\u3002<\/p>\n<\/p>\n<p><p><strong>\u521b\u5efa\u77e9\u9635\uff1a<\/strong><\/p>\n<p>\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u53ef\u4ee5\u5feb\u901f\u521b\u5efa\u4efb\u610f\u5927\u5c0f\u7684\u4e8c\u7ef4\u5217\u8868\uff08\u77e9\u9635\uff09\uff0c\u5e76\u5c06\u6240\u6709\u5143\u7d20\u521d\u59cb\u5316\u4e3a255\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a3x3\u7684\u77e9\u9635\uff0c\u6240\u6709\u5143\u7d20\u5747\u4e3a255\uff0c\u4f7f\u7528\u5217\u8868\u63a8\u5bfc<\/p>\n<p>matrix_255 = [[255 for _ in range(3)] for _ in range(3)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u7ec6\u7528\u6cd5\uff1a<\/strong><\/p>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>range(3)<\/code>\u5b9a\u4e49\u4e86\u77e9\u9635\u7684\u884c\u6570\u548c\u5217\u6570\uff0c\u800c<code>255<\/code>\u662f\u6211\u4eec\u60f3\u8981\u586b\u5145\u7684\u503c\u3002\u5217\u8868\u63a8\u5bfc\u4f7f\u7528\u5d4c\u5957\u5faa\u73af\u6765\u751f\u6210\u884c\u548c\u5217\uff0c\u6bcf\u4e2a\u5faa\u73af\u7684<code>_<\/code>\u53d8\u91cf\u4ec5\u4f5c\u4e3a\u4e34\u65f6\u53d8\u91cf\u4f7f\u7528\uff0c\u5e76\u4e0d\u5173\u5fc3\u5b83\u7684\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u5229\u7528ARRAY\u6a21\u5757<\/h3>\n<\/p>\n<p><p>Python\u7684\u6807\u51c6\u5e93\u4e2darray\u6a21\u5757\u4e5f\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\uff0c\u5e76\u7528\u56fa\u5b9a\u7684\u503c\u8fdb\u884c\u521d\u59cb\u5316\u3002\u7136\u800c\uff0c\u76f8\u8f83\u4e8eNumpy\u548c\u5217\u8868\u63a8\u5bfc\uff0c\u8fd9\u79cd\u65b9\u6cd5\u66f4\u9002\u5408\u4e00\u7ef4\u6570\u7ec4\u7684\u521b\u5efa\u548c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><p><strong>\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\uff1a<\/strong><\/p>\n<p>\u7528array\u6a21\u5757\u521b\u5efa\u4e00\u7ef4\u6570\u7ec4\uff0c\u7136\u540e\u5982\u679c\u9700\u8981\uff0c\u518d\u5c06\u5176\u8f6c\u6362\u4e3a\u4e8c\u7ef4\u77e9\u9635\u7684\u5f62\u5f0f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import array<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u957f\u5ea6\u4e3a9\u7684\u4e00\u7ef4\u6570\u7ec4\uff0c\u6240\u6709\u5143\u7d20\u5747\u4e3a255\uff0c\u518d\u5c06\u5176\u8f6c\u6362\u4e3a3x3\u77e9\u9635<\/strong><\/h2>\n<p>one_dimensional_array = array.array(&#039;I&#039;, [255] * 9)<\/p>\n<p>matrix_255 = [one_dimensional_array[i:i+3] for i in range(0, len(one_dimensional_array), 3)]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8be6\u7ec6\u7528\u6cd5\uff1a<\/strong><\/p>\n<p>\u8fd9\u91cc<code>&#039;I&#039;<\/code>\u8868\u793a\u6570\u7ec4\u4e2d\u5b58\u50a8\u7684\u6570\u636e\u7c7b\u578b\uff08\u65e0\u7b26\u53f7\u6574\u6570\uff09\uff0c<code>[255] * 9<\/code>\u521b\u5efa\u4e86\u4e00\u4e2a\u6240\u6709\u5143\u7d20\u4e3a255\u7684\u4e00\u7ef4\u6570\u7ec4\u3002\u4e4b\u540e\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\uff0c\u5c06\u4e00\u7ef4\u6570\u7ec4\u5207\u7247\u62103\u4e2a\u5143\u7d20\u7684\u6bb5\uff0c\u6bcf\u4e2a\u6bb5\u4f5c\u4e3a\u77e9\u9635\u7684\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><p>\u5728\u6240\u6709\u8fd9\u4e9b\u65b9\u6cd5\u4e2d\uff0c<strong>Numpy\u63d0\u4f9b\u7684\u89e3\u51b3\u65b9\u6848\u5177\u6709\u6700\u4f73\u7684\u6027\u80fd\u548c\u6700\u9ad8\u7684\u7075\u6d3b\u6027<\/strong>\uff0c\u7279\u522b\u662f\u5904\u7406\u5927\u578b\u77e9\u9635\u548c\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u65f6\u3002\u800c\u5bf9\u4e8e\u4e0d\u9700\u8981\u9ad8\u6027\u80fd\u6216\u8005\u53ea\u8fdb\u884c\u7b80\u5355\u64cd\u4f5c\u7684\u5c0f\u578b\u9879\u76ee\uff0c\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u6216\u6807\u51c6\u5e93\u4e2d\u7684array\u6a21\u5757\u4e5f\u662f\u5b8c\u5168\u53ef\u884c\u7684\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p><strong>1. \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\uff1f<\/strong><\/p>\n<p>\u60a8\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u521b\u5efa\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5NumPy\u5e93\uff0c\u7136\u540e\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u521b\u5efa\u4e00\u4e2a\u77e9\u9635\uff1a<\/p>\n<pre><code class=\"language-python\">import numpy as np\n\n# \u521b\u5efa\u4e00\u4e2a5x5\u7684\u77e9\u9635\uff0c\u521d\u59cb\u503c\u4e3a255\nmatrix = np.full((5, 5), 255)\nprint(matrix)\n<\/code><\/pre>\n<p>\u8fd9\u91cc\uff0c<code>np.full()<\/code>\u51fd\u6570\u7528\u4e8e\u521b\u5efa\u5177\u6709\u6307\u5b9a\u5f62\u72b6\u548c\u521d\u59cb\u503c\u7684\u77e9\u9635\u3002\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a5&#215;5\u7684\u77e9\u9635\uff0c\u5176\u521d\u59cb\u503c\u90fd\u8bbe\u7f6e\u4e3a255\u3002<\/p>\n<p><strong>2. \u5728Python\u4e2d\uff0c\u5982\u4f55\u5c06\u77e9\u9635\u7684\u6240\u6709\u5143\u7d20\u8bbe\u7f6e\u4e3a255\uff1f<\/strong><\/p>\n<p>\u8981\u5c06\u77e9\u9635\u4e2d\u7684\u6240\u6709\u5143\u7d20\u8bbe\u7f6e\u4e3a255\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u63d0\u4f9b\u7684<code>np.ones()<\/code>\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2a\u51681\u7684\u77e9\u9635\uff0c\u7136\u540e\u5c06\u5176\u4e58\u4ee5255\u3002<\/p>\n<pre><code class=\"language-python\">import numpy as np\n\n# \u521b\u5efa\u4e00\u4e2a5x5\u7684\u51681\u77e9\u9635\uff0c\u7136\u540e\u4e58\u4ee5255\nmatrix = np.ones((5, 5)) * 255\nprint(matrix)\n<\/code><\/pre>\n<p>\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c<code>np.ones()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u5177\u6709\u6307\u5b9a\u5f62\u72b6\u7684\u51681\u77e9\u9635\uff0c\u7136\u540e\u4f7f\u7528\u4e58\u6cd5\u8fd0\u7b97\u7b26\u5c06\u5176\u4e58\u4ee5255\uff0c\u4ece\u800c\u5c06\u6240\u6709\u5143\u7d20\u8bbe\u7f6e\u4e3a255\u3002<\/p>\n<p><strong>3. \u5982\u4f55\u4f7f\u7528Python\u521b\u5efa\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3a\u56fe\u50cf\u6587\u4ef6\uff1f<\/strong><\/p>\n<p>\u8981\u521b\u5efa\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u4e3a\u56fe\u50cf\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u548cPIL\u5e93\u8fdb\u884c\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u79cd\u53ef\u80fd\u7684\u5b9e\u73b0\u65b9\u6cd5\uff1a<\/p>\n<pre><code class=\"language-python\">import numpy as np\nfrom PIL import Image\n\n# \u521b\u5efa\u4e00\u4e2a10x10\u7684\u77e9\u9635\uff0c\u521d\u59cb\u503c\u4e3a255\nmatrix = np.full((10, 10), 255)\n\n# \u5c06\u77e9\u9635\u8f6c\u6362\u4e3a\u56fe\u50cf\nimage = Image.fromarray(matrix.astype(np.uint8))\n\n# \u4fdd\u5b58\u56fe\u50cf\u4e3aPNG\u6587\u4ef6\nimage.save(&#039;matrix.png&#039;)\n<\/code><\/pre>\n<p>\u4ee5\u4e0a\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528NumPy\u5e93\u521b\u5efa\u4e00\u4e2a\u5927\u5c0f\u4e3a10&#215;10\u7684\u77e9\u9635\uff0c\u521d\u59cb\u503c\u90fd\u8bbe\u7f6e\u4e3a255\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528PIL\u5e93\u7684<code>Image.fromarray()<\/code>\u51fd\u6570\u5c06\u8be5\u77e9\u9635\u8f6c\u6362\u4e3a\u56fe\u50cf\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>image.save()<\/code>\u51fd\u6570\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aPNG\u6587\u4ef6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u8bbe\u5b9a\u4e00\u4e2a\u521d\u59cb\u503c\u4e3a255\u7684\u77e9\u9635\u53ef\u901a\u8fc7Numpy\u5e93\u5b9e\u73b0\u3001\u901a\u8fc7\u5217\u8868\u63a8\u5bfc\u5b9e\u73b0\u3001\u5229\u7528array\u6a21\u5757\u3002 \u5176\u4e2d [&hellip;]","protected":false},"author":3,"featured_media":174954,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/174946"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=174946"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/174946\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/174954"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=174946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=174946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=174946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}