{"id":176,"date":"2025-07-16T10:43:44","date_gmt":"2025-07-16T02:43:44","guid":{"rendered":"https:\/\/www.hgfwq.com\/blog\/?p=176"},"modified":"2025-07-16T10:43:44","modified_gmt":"2025-07-16T02:43:44","slug":"matplotlib%e5%85%a8%e5%b1%80%e8%ae%be%e7%bd%ae%e5%a6%82%e4%bd%95%e5%b8%ae%e5%8a%a9%e6%8f%90%e5%8d%87%e5%9b%be%e8%a1%a8%e8%b4%a8%e9%87%8f%e4%b8%8e%e4%bb%a3%e7%a0%81%e5%8f%af%e7%bb%b4%e6%8a%a4%e6%80%a7","status":"publish","type":"post","link":"https:\/\/www.hgfwq.com\/blog\/176.html","title":{"rendered":"Matplotlib\u5168\u5c40\u8bbe\u7f6e\u5982\u4f55\u5e2e\u52a9\u63d0\u5347\u56fe\u8868\u8d28\u91cf\u4e0e\u4ee3\u7801\u53ef\u7ef4\u62a4\u6027\u5462"},"content":{"rendered":"<p><h3>\u5168\u7bc7\u7cbe\u534e<\/h3>\n<\/p>\n<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/www.hgfwq.com\/blog\/wp-content\/uploads\/2025\/07\/Og9Ftm.jpg\" alt=\"Matplotlib\u5168\u5c40\u8bbe\u7f6e\u5982\u4f55\u5e2e\u52a9\u63d0\u5347\u56fe\u8868\u8d28\u91cf\u4e0e\u4ee3\u7801\u53ef\u7ef4\u62a4\u6027\u5462\" title=\"Matplotlib\u5168\u5c40\u8bbe\u7f6e\u5982\u4f55\u5e2e\u52a9\u63d0\u5347\u56fe\u8868\u8d28\u91cf\u4e0e\u4ee3\u7801\u53ef\u7ef4\u62a4\u6027\u5462\"><\/p>\n<p><p>Matplotlib\u4f5c\u4e3aPython\u4e2d\u6700\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5176\u5168\u5c40\u8bbe\u7f6e\u5bf9\u4e8e\u63d0\u5347\u56fe\u8868\u8d28\u91cf\u548c\u7528\u6237\u4f53\u9a8c\u81f3\u5173\u91cd\u8981\u3002\u901a\u8fc7\u8c03\u6574\u5168\u5c40\u8bbe\u7f6e\uff0c\u6211\u4eec\u53ef\u4ee5\u7edf\u4e00\u56fe\u8868\u98ce\u683c\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4ec0\u4e48\u662fMatplotlib\u5168\u5c40\u8bbe\u7f6e\uff1f<\/h3>\n<\/p>\n<p><p>Matplotlib\u5168\u5c40\u8bbe\u7f6e\u6307\u7684\u662f\u5bf9\u6574\u4e2aMatplotlib\u73af\u5883\u8fdb\u884c\u7edf\u4e00\u914d\u7f6e\u7684\u53c2\u6570\u3002\u8fd9\u4e9b\u8bbe\u7f6e\u5305\u62ec\u5b57\u4f53\u3001\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u3001\u5750\u6807\u8f74\u683c\u5f0f\u7b49\uff0c\u5b83\u4eec\u80fd\u591f\u5f71\u54cd\u5230\u6240\u6709\u540e\u7eed\u7ed8\u5236\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u4e3a\u4ec0\u4e48\u8981\u8fdb\u884c\u5168\u5c40\u8bbe\u7f6e\uff1f<\/h3>\n<\/p>\n<p><p>\u8fdb\u884c\u5168\u5c40\u8bbe\u7f6e\u6709\u4ee5\u4e0b\u51e0\u4e2a\u539f\u56e0\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u63d0\u9ad8\u56fe\u8868\u4e00\u81f4\u6027\uff1a\u7edf\u4e00\u7684\u98ce\u683c\u53ef\u4ee5\u8ba9\u591a\u4e2a\u56fe\u8868\u770b\u8d77\u6765\u66f4\u52a0\u534f\u8c03\u3002<\/li>\n<li>\u589e\u5f3a\u53ef\u8bfb\u6027\uff1a\u5408\u7406\u7684\u8bbe\u7f6e\u53ef\u4ee5\u63d0\u9ad8\u56fe\u8868\u7684\u53ef\u8bfb\u6027\uff0c\u4f7f\u5f97\u4fe1\u606f\u4f20\u8fbe\u66f4\u52a0\u6e05\u6670\u3002<\/li>\n<li>\u7b80\u5316\u4ee3\u7801\uff1a\u901a\u8fc7\u5168\u5c40\u8bbe\u7f6e\uff0c\u53ef\u4ee5\u51cf\u5c11\u5728\u6bcf\u4e2a\u56fe\u8868\u4e2d\u91cd\u590d\u8bbe\u7f6e\u7684\u4ee3\u7801\u91cf\u3002<\/li>\n<\/ul>\n<p><h3>\u5982\u4f55\u8fdb\u884cMatplotlib\u5168\u5c40\u8bbe\u7f6e\uff1f<\/h3>\n<\/p>\n<p><p>Matplotlib\u7684\u5168\u5c40\u8bbe\u7f6e\u53ef\u4ee5\u901a\u8fc7`matplotlib.rcParams`\u5b57\u5178\u6765\u5b8c\u6210\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5168\u5c40\u8bbe\u7f6e\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<ul>\n<li>\n<p><p><b>\u8bbe\u7f6e\u5b57\u4f53\uff1a<\/b><\/p>\n<\/p>\n<p><pre><code>import matplotlib.pyplot as plt<\/p>\r\n\r\n<p>plt.rcParams['font.family'] = 'serif'<\/p>\r\n<p>plt.rcParams['font.size'] = 12<\/code><\/pre>\n<\/li>\n<li>\n<p><p><b>\u8bbe\u7f6e\u7ebf\u6761\u989c\u8272\u548c\u5bbd\u5ea6\uff1a<\/b><\/p>\n<\/p>\n<p><pre><code>plt.rcParams['lines.color'] = 'blue'<\/p>\r\n<p>plt.rcParams['lines.linewidth'] = 2<\/code><\/pre>\n<\/li>\n<li>\n<p><p><b>\u8bbe\u7f6e\u5750\u6807\u8f74\u523b\u5ea6\u683c\u5f0f\uff1a<\/b><\/p>\n<\/p>\n<p><pre><code>plt.rcParams['xtick.major.pad'] = 3<\/p>\r\n<p>plt.rcParams['xtick.minor.pad'] = 1<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><h3>\u5982\u4f55\u4fdd\u5b58\u5168\u5c40\u8bbe\u7f6e\uff1f<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u5728\u4e0b\u6b21\u4f7f\u7528Matplotlib\u65f6\u4fdd\u7559\u8fd9\u4e9b\u8bbe\u7f6e\uff0c\u53ef\u4ee5\u5c06`rcParams`\u4fdd\u5b58\u5230\u4e00\u4e2a\u6587\u4ef6\u4e2d\uff0c\u5e76\u5728\u4ee3\u7801\u5f00\u5934\u52a0\u8f7d\u8fd9\u4e2a\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<ul>\n<li>\n<p><p><b>\u4fdd\u5b58\u5168\u5c40\u8bbe\u7f6e\uff1a<\/b><\/p>\n<\/p>\n<p><pre><code>import matplotlib.pyplot as plt<\/p>\r\n\r\n<p>with open('matplotlibrc', 'w') as f:<\/p>\r\n<p>    plt.rcParams.update(plt.rcParamsDefault)<\/p>\r\n<p>    f.write(plt.rcParams.getvalue())<\/code><\/pre>\n<\/li>\n<li>\n<p><p><b>\u52a0\u8f7d\u5168\u5c40\u8bbe\u7f6e\uff1a<\/b><\/p>\n<\/p>\n<p><pre><code>plt.rcParams.read_config('matplotlibrc')<\/code><\/pre>\n<\/li>\n<\/ul>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>Matplotlib\u7684\u5168\u5c40\u8bbe\u7f6e\u662f\u63d0\u9ad8\u56fe\u8868\u8d28\u91cf\u548c\u4ee3\u7801\u53ef\u7ef4\u62a4\u6027\u7684\u91cd\u8981\u624b\u6bb5\u3002\u901a\u8fc7\u5408\u7406\u914d\u7f6e\u5168\u5c40\u53c2\u6570\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u56fe\u8868\u98ce\u683c\u7684\u4e00\u81f4\u6027\uff0c\u63d0\u5347\u4fe1\u606f\u4f20\u8fbe\u7684\u6548\u7387\u3002\u638c\u63e1\u5168\u5c40\u8bbe\u7f6e\u7684\u4f7f\u7528\u65b9\u6cd5\uff0c\u5c06\u6709\u52a9\u4e8e\u6211\u4eec\u5728\u6570\u636e\u53ef\u89c6\u5316\u9886\u57df\u66f4\u52a0\u5f97\u5fc3\u5e94\u624b\u3002<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5168\u7bc7\u7cbe\u534e Matplotlib\u4f5c\u4e3aPython\u4e2d\u6700\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5176\u5168\u5c40\u8bbe\u7f6e\u5bf9\u4e8e\u63d0\u5347\u56fe\u8868\u8d28\u91cf\u548c\u7528\u6237\u4f53\u9a8c\u81f3\u5173\u91cd\u8981\u3002\u901a\u8fc7\u8c03\u6574\u5168\u5c40\u8bbe\u7f6e\uff0c\u6211\u4eec\u53ef\u4ee5\u7edf\u4e00\u56fe\u8868\u98ce\u683c\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002 \u4ec0\u4e48\u662fMatplotlib\u5168\u5c40\u8bbe\u7f6e\uff1f Matplotlib&#8230;<\/p>\n","protected":false},"author":1,"featured_media":177,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[102,100,101],"topic":[],"class_list":["post-176","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-haiwai","tag-matplotlib","tag-100","tag-101"],"_links":{"self":[{"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/posts\/176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/comments?post=176"}],"version-history":[{"count":1,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/posts\/176\/revisions"}],"predecessor-version":[{"id":179,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/posts\/176\/revisions\/179"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/media\/177"}],"wp:attachment":[{"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/media?parent=176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/categories?post=176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/tags?post=176"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.hgfwq.com\/blog\/wp-json\/wp\/v2\/topic?post=176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}