{"id":1076809,"date":"2025-01-08T11:56:35","date_gmt":"2025-01-08T03:56:35","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1076809.html"},"modified":"2025-01-08T11:56:37","modified_gmt":"2025-01-08T03:56:37","slug":"python%e5%a6%82%e4%bd%95%e5%ae%9a%e4%b9%89%e5%88%bb%e5%ba%a6%e7%9a%84%e6%a0%87%e7%ad%be%e7%9a%84%e5%ae%bd%e5%ba%a6-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1076809.html","title":{"rendered":"python\u5982\u4f55\u5b9a\u4e49\u523b\u5ea6\u7684\u6807\u7b7e\u7684\u5bbd\u5ea6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24181207\/29bf7ce4-ddbf-42f0-9fdf-04b5e811268e.webp\" alt=\"python\u5982\u4f55\u5b9a\u4e49\u523b\u5ea6\u7684\u6807\u7b7e\u7684\u5bbd\u5ea6\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u4e3b\u8981\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u5bf9\u9f50\u65b9\u5f0f\u7b49\u5c5e\u6027\u6765\u5b9e\u73b0\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Matplotlib\u5e93\u3001\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5927\u5c0f\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u8bbe\u7f6e\u5b57\u4f53\u7b49\u3002<\/strong> \u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Matplotlib\u5e93\u4e2d\u7684<code>xticks<\/code>\u548c<code>yticks<\/code>\u51fd\u6570\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528Matplotlib\u5e93\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6<\/p>\n<\/p>\n<p><p>Matplotlib\u662fPython\u4e2d\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u7ed8\u52362D\u56fe\u8868\u3002\u901a\u8fc7Matplotlib\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>1.1\u3001\u57fa\u672c\u8bbe\u7f6e<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Matplotlib\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>xticks<\/code>\u548c<code>yticks<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5c5e\u6027\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7<code>fontsize<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\uff0c\u4ece\u800c\u95f4\u63a5\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<h2><strong>\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f<\/strong><\/h2>\n<p>plt.xticks(fontsize=12)<\/p>\n<p>plt.yticks(fontsize=12)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>fontsize<\/code>\u53c2\u6570\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u4e3a12\uff0c\u4ece\u800c\u8c03\u6574\u4e86\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>1.2\u3001\u65cb\u8f6c\u523b\u5ea6\u6807\u7b7e<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u901a\u8fc7\u65cb\u8f6c\u523b\u5ea6\u6807\u7b7e\u6765\u66f4\u597d\u5730\u663e\u793a\u957f\u6807\u7b7e\u3002\u53ef\u4ee5\u4f7f\u7528<code>rotation<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u65cb\u8f6c\u89d2\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<h2><strong>\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u548c\u65cb\u8f6c\u89d2\u5ea6<\/strong><\/h2>\n<p>plt.xticks(fontsize=12, rotation=45)<\/p>\n<p>plt.yticks(fontsize=12, rotation=45)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>rotation<\/code>\u53c2\u6570\u5c06\u523b\u5ea6\u6807\u7b7e\u65cb\u8f6c\u4e8645\u5ea6\uff0c\u4ece\u800c\u4f7f\u957f\u6807\u7b7e\u80fd\u591f\u66f4\u597d\u5730\u663e\u793a\u3002<\/p>\n<\/p>\n<p><h3>1.3\u3001\u5bf9\u9f50\u523b\u5ea6\u6807\u7b7e<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u901a\u8fc7<code>ha<\/code>\uff08\u6c34\u5e73\u5bf9\u9f50\uff09\u548c<code>va<\/code>\uff08\u5782\u76f4\u5bf9\u9f50\uff09\u53c2\u6570\u6765\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bf9\u9f50\u65b9\u5f0f\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<h2><strong>\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u3001\u65cb\u8f6c\u89d2\u5ea6\u548c\u5bf9\u9f50\u65b9\u5f0f<\/strong><\/h2>\n<p>plt.xticks(fontsize=12, rotation=45, ha=&#39;right&#39;, va=&#39;top&#39;)<\/p>\n<p>plt.yticks(fontsize=12, rotation=45, ha=&#39;right&#39;, va=&#39;top&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>ha<\/code>\u53c2\u6570\u5c06\u6c34\u5e73\u5bf9\u9f50\u65b9\u5f0f\u8bbe\u7f6e\u4e3a<code>right<\/code>\uff0c\u901a\u8fc7<code>va<\/code>\u53c2\u6570\u5c06\u5782\u76f4\u5bf9\u9f50\u65b9\u5f0f\u8bbe\u7f6e\u4e3a<code>top<\/code>\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u4e86\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528\u5b50\u56fe\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u590d\u6742\u7684\u56fe\u8868\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u5b50\u56fe\u6765\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002\u53ef\u4ee5\u901a\u8fc7<code>subplots<\/code>\u51fd\u6570\u6765\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><h3>2.1\u3001\u521b\u5efa\u591a\u4e2a\u5b50\u56fe<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528<code>subplots<\/code>\u51fd\u6570\u6765\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u523b\u5ea6\u6807\u7b7e\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u591a\u4e2a\u5b50\u56fe<\/strong><\/h2>\n<p>fig, axs = plt.subplots(2, 2)<\/p>\n<h2><strong>\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>for ax in axs.flat:<\/p>\n<p>    ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>    ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<p>    ax.tick_params(axis=&#39;x&#39;, labelsize=12, rotation=45)<\/p>\n<p>    ax.tick_params(axis=&#39;y&#39;, labelsize=12, rotation=45)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>subplots<\/code>\u51fd\u6570\u521b\u5efa\u4e86\u56db\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u8bbe\u7f6e\u4e86\u6bcf\u4e2a\u5b50\u56fe\u7684\u523b\u5ea6\u6807\u7b7e\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><h3>2.2\u3001\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528\u591a\u4e2a\u5b50\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>subplots_adjust<\/code>\u51fd\u6570\u6765\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u591a\u4e2a\u5b50\u56fe<\/strong><\/h2>\n<p>fig, axs = plt.subplots(2, 2)<\/p>\n<h2><strong>\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>for ax in axs.flat:<\/p>\n<p>    ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>    ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<p>    ax.tick_params(axis=&#39;x&#39;, labelsize=12, rotation=45)<\/p>\n<p>    ax.tick_params(axis=&#39;y&#39;, labelsize=12, rotation=45)<\/p>\n<h2><strong>\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd<\/strong><\/h2>\n<p>plt.subplots_adjust(hspace=0.4, wspace=0.4)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>subplots_adjust<\/code>\u51fd\u6570\u5c06\u5b50\u56fe\u4e4b\u95f4\u7684\u6c34\u5e73\u95f4\u8ddd\u548c\u5782\u76f4\u95f4\u8ddd\u90fd\u8bbe\u7f6e\u4e3a0.4\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u4e86\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002\u53ef\u4ee5\u901a\u8fc7<code>FuncFormatter<\/code>\u7c7b\u6765\u521b\u5efa\u81ea\u5b9a\u4e49\u7684\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><h3>3.1\u3001\u521b\u5efa\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u4f7f\u7528<code>FuncFormatter<\/code>\u7c7b\u6765\u521b\u5efa\u81ea\u5b9a\u4e49\u7684\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import FuncFormatter<\/p>\n<h2><strong>\u521b\u5efa\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<\/strong><\/h2>\n<p>def custom_formatter(x, pos):<\/p>\n<p>    return f&#39;{x:.1f}&#39;<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<h2><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<\/strong><\/h2>\n<p>ax.xaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<p>ax.yaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7<code>FuncFormatter<\/code>\u7c7b\u521b\u5efa\u4e86\u4e00\u4e2a\u81ea\u5b9a\u4e49\u7684\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<code>custom_formatter<\/code>\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><h3>3.2\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5c5e\u6027<\/h3>\n<\/p>\n<p><p>\u53ef\u4ee5\u5728\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570\u4e2d\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5c5e\u6027\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import FuncFormatter<\/p>\n<h2><strong>\u521b\u5efa\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<\/strong><\/h2>\n<p>def custom_formatter(x, pos):<\/p>\n<p>    return f&#39;{x:.1f}&#39;<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u56fe\u8868<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<p>ax.set_yticks([10, 20, 30, 40, 50])<\/p>\n<h2><strong>\u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570<\/strong><\/h2>\n<p>ax.xaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<p>ax.yaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<h2><strong>\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5c5e\u6027<\/strong><\/h2>\n<p>for label in ax.get_xticklabels() + ax.get_yticklabels():<\/p>\n<p>    label.set_fontsize(12)<\/p>\n<p>    label.set_rotation(45)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u5728\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u5316\u51fd\u6570\u4e2d\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5c5e\u6027\uff08\u4f8b\u5982\u5b57\u4f53\u5927\u5c0f\u548c\u65cb\u8f6c\u89d2\u5ea6\uff09\uff0c\u4ece\u800c\u66f4\u597d\u5730\u63a7\u5236\u4e86\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u7075\u6d3b\u5730\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002\u65e0\u8bba\u662f\u4f7f\u7528Matplotlib\u5e93\u3001\u8c03\u6574\u5b50\u56fe\u3001\u8fd8\u662f\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570\uff0c\u90fd\u53ef\u4ee5\u6709\u6548\u5730\u63a7\u5236\u523b\u5ea6\u6807\u7b7e\u7684\u663e\u793a\u6548\u679c\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/p>\n<p><p>\u603b\u4e4b\uff0c<strong>\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6<\/strong>\u9700\u8981\u7efc\u5408\u8003\u8651\u5b57\u4f53\u5927\u5c0f\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u5bf9\u9f50\u65b9\u5f0f\u7b49\u591a\u4e2a\u56e0\u7d20\uff0c\u5e76\u7ed3\u5408\u5177\u4f53\u7684\u56fe\u8868\u7c7b\u578b\u548c\u663e\u793a\u9700\u6c42\u8fdb\u884c\u8c03\u6574\u3002\u901a\u8fc7\u5408\u7406\u8bbe\u7f6e\u8fd9\u4e9b\u5c5e\u6027\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u5347\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u548c\u7f8e\u89c2\u6027\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u3002\u901a\u8fc7\u8bbe\u7f6e<code>labelsize<\/code>\u5c5e\u6027\u548c\u4f7f\u7528<code>set_xticklabels<\/code>\u6216<code>set_yticklabels<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u663e\u793a\u6548\u679c\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u53ef\u4ee5\u5229\u7528<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u6807\u7b7e\u7684\u5bbd\u5ea6\u548c\u683c\u5f0f\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\uff0c\u5982\u4f55\u589e\u52a0\u6216\u51cf\u5c11\u523b\u5ea6\u6807\u7b7e\u7684\u957f\u5ea6\uff1f<\/strong><br \/>\u8981\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u957f\u5ea6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e<code>pad<\/code>\u53c2\u6570\u6765\u5b9e\u73b0\u3002<code>pad<\/code>\u53c2\u6570\u63a7\u5236\u6807\u7b7e\u4e0e\u523b\u5ea6\u7ebf\u4e4b\u95f4\u7684\u8ddd\u79bb\uff0c\u589e\u52a0<code>pad<\/code>\u503c\u5c06\u4f7f\u6807\u7b7e\u66f4\u8fdc\u79bb\u523b\u5ea6\u7ebf\uff0c\u4ece\u800c\u5728\u89c6\u89c9\u4e0a\u589e\u52a0\u6807\u7b7e\u7684\u957f\u5ea6\u3002\u540c\u65f6\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\u548c\u6837\u5f0f\u6765\u8fdb\u4e00\u6b65\u589e\u5f3a\u6807\u7b7e\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u5bf9\u56fe\u5f62\u53ef\u8bfb\u6027\u6709\u4f55\u5f71\u54cd\uff1f<\/strong><br \/>\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u76f4\u63a5\u5f71\u54cd\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\u3002\u8fc7\u5bbd\u6216\u8fc7\u7a84\u7684\u6807\u7b7e\u53ef\u80fd\u5bfc\u81f4\u4fe1\u606f\u7684\u4f20\u8fbe\u4e0d\u6e05\u6670\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u5bc6\u96c6\u7684\u56fe\u8868\u4e2d\u3002\u5408\u7406\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u548c\u5b57\u4f53\u6837\u5f0f\uff0c\u6709\u52a9\u4e8e\u89c2\u4f17\u66f4\u5feb\u7406\u89e3\u6570\u636e\u8d8b\u52bf\u548c\u6570\u503c\u5173\u7cfb\u3002\u901a\u8fc7\u4f7f\u7528\u5408\u9002\u7684\u683c\u5f0f\u548c\u5927\u5c0f\uff0c\u53ef\u4ee5\u63d0\u5347\u56fe\u5f62\u7684\u6574\u4f53\u7f8e\u89c2\u6027\u548c\u4e13\u4e1a\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u5bbd\u5ea6\u4e3b\u8981\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u7684\u5b57\u4f53\u5927\u5c0f\u3001\u65cb\u8f6c\u89d2\u5ea6\u3001\u5bf9\u9f50\u65b9\u5f0f\u7b49\u5c5e\u6027\u6765\u5b9e\u73b0\u3002\u5e38\u7528\u7684\u65b9\u6cd5 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