{"id":1108478,"date":"2025-01-08T17:00:44","date_gmt":"2025-01-08T09:00:44","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1108478.html"},"modified":"2025-01-08T17:00:46","modified_gmt":"2025-01-08T09:00:46","slug":"python%e5%a6%82%e4%bd%95%e5%9c%a8%e5%9d%90%e6%a0%87%e8%bd%b4%e4%b8%8a%e6%a0%87%e8%ae%b0%e5%88%bb%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1108478.html","title":{"rendered":"python\u5982\u4f55\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25072116\/1d202c9a-f4b3-4b30-b19e-9bcce998f7e7.webp\" alt=\"python\u5982\u4f55\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\" \/><\/p>\n<p><p> \u5f00\u5934\u6bb5\u843d\uff1a<\/p>\n<p>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\u3002<strong>\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u503c\u3001\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u3001\u6dfb\u52a0\u6b21\u523b\u5ea6<\/strong>\u7b49\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Matplotlib\u5e93\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\uff0c\u5e76\u63d0\u4f9b\u76f8\u5173\u793a\u4f8b\u4ee3\u7801\u3002\u91cd\u70b9\u8bf4\u660e\u5982\u4f55\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u503c\u6765\u6807\u8bb0\u5750\u6807\u8f74\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u8bbe\u7f6e\u523b\u5ea6\u503c<\/p>\n<\/p>\n<p><p>\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7<code>set_xticks<\/code>\u548c<code>set_yticks<\/code>\u65b9\u6cd5\u6765\u8bbe\u7f6e\u523b\u5ea6\u503c\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165Matplotlib\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7ed8\u56fe\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7<code>set_xticks<\/code>\u548c<code>set_yticks<\/code>\u65b9\u6cd5\u6765\u6307\u5b9ax\u8f74\u548cy\u8f74\u4e0a\u7684\u523b\u5ea6\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u503c<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u503c<\/strong><\/h2>\n<p>ax.set_yticks([0, 5, 10, 15, 20, 25])<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c06x\u8f74\u548cy\u8f74\u4e0a\u7684\u523b\u5ea6\u503c\u8bbe\u7f6e\u4e3a\u6307\u5b9a\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f<\/p>\n<\/p>\n<p><p>\u6709\u65f6\u5019\uff0c\u6211\u4eec\u4e0d\u4ec5\u9700\u8981\u8bbe\u7f6e\u523b\u5ea6\u503c\uff0c\u8fd8\u9700\u8981\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u7684\u6837\u5f0f\uff0c\u4f8b\u5982\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u3001\u65cb\u8f6c\u89d2\u5ea6\u7b49\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>set_xticklabels<\/code>\u548c<code>set_yticklabels<\/code>\u65b9\u6cd5\u6765\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\uff0c\u5e76\u901a\u8fc7<code>fontsize<\/code>\u3001<code>color<\/code>\u7b49\u53c2\u6570\u6765\u8c03\u6574\u5176\u6837\u5f0f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u503c<\/strong><\/h2>\n<p>ax.set_xticks([1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u503c<\/strong><\/h2>\n<p>ax.set_yticks([0, 5, 10, 15, 20, 25])<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f<\/strong><\/h2>\n<p>ax.set_xticklabels([&#39;one&#39;, &#39;two&#39;, &#39;three&#39;, &#39;four&#39;, &#39;five&#39;], fontsize=12, color=&#39;red&#39;, rotation=45)<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f<\/strong><\/h2>\n<p>ax.set_yticklabels([&#39;zero&#39;, &#39;five&#39;, &#39;ten&#39;, &#39;fifteen&#39;, &#39;twenty&#39;, &#39;twenty-five&#39;], fontsize=12, color=&#39;blue&#39;, rotation=45)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u901a\u8fc7<code>set_xticklabels<\/code>\u548c<code>set_yticklabels<\/code>\u65b9\u6cd5\u8bbe\u7f6e\u4e86\u523b\u5ea6\u6807\u7b7e\u7684\u6837\u5f0f\uff0c\u5305\u62ec\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u548c\u65cb\u8f6c\u89d2\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u81ea\u5b9a\u4e49\u7684\u523b\u5ea6\uff0c\u800c\u4e0d\u662f\u5747\u5300\u5206\u5e03\u7684\u523b\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528<code>MultipleLocator<\/code>\u3001<code>FixedLocator<\/code>\u7b49\u65b9\u6cd5\u6765\u5b9e\u73b0\u81ea\u5b9a\u4e49\u523b\u5ea6\u3002<code>MultipleLocator<\/code>\u53ef\u4ee5\u8bbe\u7f6e\u523b\u5ea6\u95f4\u9694\uff0c\u800c<code>FixedLocator<\/code>\u53ef\u4ee5\u8bbe\u7f6e\u523b\u5ea6\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import MultipleLocator, FixedLocator<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u95f4\u9694\u4e3a0.5<\/strong><\/h2>\n<p>ax.xaxis.set_major_locator(MultipleLocator(0.5))<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u503c\u4e3a\u81ea\u5b9a\u4e49\u503c<\/strong><\/h2>\n<p>ax.yaxis.set_major_locator(FixedLocator([0, 3, 6, 9, 12, 15, 18, 21, 24]))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528<code>MultipleLocator<\/code>\u548c<code>FixedLocator<\/code>\u6765\u8bbe\u7f6e\u81ea\u5b9a\u4e49\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u6dfb\u52a0\u6b21\u523b\u5ea6<\/p>\n<\/p>\n<p><p>\u6b21\u523b\u5ea6\u662f\u6307\u4e3b\u523b\u5ea6\u4e4b\u95f4\u7684\u8f83\u5c0f\u523b\u5ea6\u3002\u5728Matplotlib\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>set_minor_locator<\/code>\u65b9\u6cd5\u6765\u6dfb\u52a0\u6b21\u523b\u5ea6\u3002<code>set_minor_locator<\/code>\u53ef\u4ee5\u4e0e<code>MultipleLocator<\/code>\u7b49\u65b9\u6cd5\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u8bbe\u7f6e\u6b21\u523b\u5ea6\u7684\u95f4\u9694\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import MultipleLocator<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u4e3b\u523b\u5ea6\u95f4\u9694\u4e3a1<\/strong><\/h2>\n<p>ax.xaxis.set_major_locator(MultipleLocator(1))<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u6b21\u523b\u5ea6\u95f4\u9694\u4e3a0.2<\/strong><\/h2>\n<p>ax.xaxis.set_minor_locator(MultipleLocator(0.2))<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u4e3b\u523b\u5ea6\u95f4\u9694\u4e3a5<\/strong><\/h2>\n<p>ax.yaxis.set_major_locator(MultipleLocator(5))<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u6b21\u523b\u5ea6\u95f4\u9694\u4e3a1<\/strong><\/h2>\n<p>ax.yaxis.set_minor_locator(MultipleLocator(1))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528<code>set_minor_locator<\/code>\u65b9\u6cd5\u6765\u6dfb\u52a0\u6b21\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u8bbe\u7f6e\u523b\u5ea6\u503c\u548c\u6807\u7b7e\u6837\u5f0f\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528<code>FuncFormatter<\/code>\u6765\u81ea\u5b9a\u4e49\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\u3002<code>FuncFormatter<\/code>\u5141\u8bb8\u6211\u4eec\u4f7f\u7528\u4e00\u4e2a\u51fd\u6570\u6765\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u683c\u5f0f\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\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u81ea\u5b9a\u4e49\u683c\u5f0f\u5316\u51fd\u6570<\/strong><\/h2>\n<p>def custom_formatter(x, pos):<\/p>\n<p>    return f&#39;{x:.1f} units&#39;<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f<\/strong><\/h2>\n<p>ax.xaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f<\/strong><\/h2>\n<p>ax.yaxis.set_major_formatter(FuncFormatter(custom_formatter))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528<code>FuncFormatter<\/code>\u6765\u81ea\u5b9a\u4e49\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u9690\u85cf\u523b\u5ea6\u548c\u523b\u5ea6\u6807\u7b7e<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u9690\u85cf\u67d0\u4e9b\u523b\u5ea6\u6216\u523b\u5ea6\u6807\u7b7e\u3002\u53ef\u4ee5\u4f7f\u7528<code>set_xticks<\/code>\u548c<code>set_yticks<\/code>\u65b9\u6cd5\uff0c\u5c06\u523b\u5ea6\u503c\u8bbe\u7f6e\u4e3a\u7a7a\u5217\u8868\uff0c\u6216\u4f7f\u7528<code>set_tick_params<\/code>\u65b9\u6cd5\u6765\u9690\u85cf\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u6570\u636e<\/strong><\/h2>\n<p>x = [1, 2, 3, 4, 5]<\/p>\n<p>y = [1, 4, 9, 16, 25]<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u9690\u85cfx\u8f74\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xticks([])<\/p>\n<h2><strong>\u9690\u85cfy\u8f74\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_yticklabels([])<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u9690\u85cfx\u8f74\u523b\u5ea6\u548cy\u8f74\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u4f7f\u7528Log\u523b\u5ea6<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u53ef\u89c6\u5316\u573a\u666f\u4e2d\uff0c\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6\u53ef\u4ee5\u66f4\u597d\u5730\u8868\u793a\u6570\u636e\u3002Matplotlib\u63d0\u4f9b\u4e86<code>LogLocator<\/code>\u548c<code>LogFormatter<\/code>\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bbe\u7f6e\u5bf9\u6570\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<p>from matplotlib.ticker import LogLocator, LogFormatter<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u8bbe\u7f6e\u5bf9\u6570\u6570\u636e<\/strong><\/h2>\n<p>x = np.logspace(0, 2, 100)<\/p>\n<p>y = x  2<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u4e3a\u5bf9\u6570\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xscale(&#39;log&#39;)<\/p>\n<p>ax.xaxis.set_major_locator(LogLocator(base=10.0, numticks=10))<\/p>\n<p>ax.xaxis.set_major_formatter(LogFormatter(base=10.0, labelOnlyBase=False))<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u4e3a\u5bf9\u6570\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_yscale(&#39;log&#39;)<\/p>\n<p>ax.yaxis.set_major_locator(LogLocator(base=10.0, numticks=10))<\/p>\n<p>ax.yaxis.set_major_formatter(LogFormatter(base=10.0, labelOnlyBase=False))<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6\u6765\u7ed8\u5236\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>\u603b\u7ed3\uff1a<\/p>\n<p>\u901a\u8fc7\u4e0a\u8ff0\u5185\u5bb9\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u6765\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\uff0c\u5305\u62ec\u8bbe\u7f6e\u523b\u5ea6\u503c\u3001\u8c03\u6574\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u523b\u5ea6\u3001\u6dfb\u52a0\u6b21\u523b\u5ea6\u3001\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\u3001\u9690\u85cf\u523b\u5ea6\u548c\u523b\u5ea6\u6807\u7b7e\u4ee5\u53ca\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7075\u6d3b\u5730\u63a7\u5236\u5750\u6807\u8f74\u4e0a\u7684\u523b\u5ea6\u6807\u8bb0\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bbe\u7f6e\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u8bb0\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u8bbe\u7f6e\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u8bb0\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5bfc\u5165Matplotlib\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u56fe\u5f62\u3002\u5728\u7ed8\u56fe\u540e\uff0c\u4f7f\u7528<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u3002\u60a8\u53ef\u4ee5\u6307\u5b9a\u523b\u5ea6\u7684\u4f4d\u7f6e\u548c\u6807\u7b7e\uff0c\u4ece\u800c\u5b9e\u73b0\u4e2a\u6027\u5316\u6807\u8bb0\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u901a\u8fc7Python\u7ed8\u5236\u7684\u56fe\u8868\u7c7b\u578b\u6709\u54ea\u4e9b\uff1f<\/strong><br \/>Python\u7684Matplotlib\u5e93\u652f\u6301\u591a\u79cd\u56fe\u8868\u7c7b\u578b\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\u3002\u6bcf\u79cd\u56fe\u8868\u7c7b\u578b\u90fd\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u523b\u5ea6\u6807\u8bb0\u548c\u81ea\u5b9a\u4e49\u8bbe\u7f6e\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002\u4f8b\u5982\uff0c\u6563\u70b9\u56fe\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u523b\u5ea6\u6765\u7a81\u51fa\u67d0\u4e9b\u6570\u636e\u70b9\uff0c\u589e\u5f3a\u53ef\u8bfb\u6027\u3002<\/p>\n<p><strong>\u5982\u4f55\u8c03\u6574\u523b\u5ea6\u7684\u683c\u5f0f\u548c\u6837\u5f0f\u4ee5\u63d0\u9ad8\u53ef\u8bfb\u6027\uff1f<\/strong><br \/>\u5728\u4f7f\u7528Matplotlib\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>plt.tick_params()<\/code>\u51fd\u6570\u6765\u8c03\u6574\u523b\u5ea6\u7684\u683c\u5f0f\u548c\u6837\u5f0f\u3002\u60a8\u53ef\u4ee5\u6539\u53d8\u523b\u5ea6\u7684\u5927\u5c0f\u3001\u989c\u8272\u3001\u65b9\u5411\u7b49\u5c5e\u6027\u3002\u6b64\u5916\uff0c\u4f7f\u7528<code>plt.gca().xaxis.set_major_formatter()<\/code>\u548c<code>plt.gca().yaxis.set_major_formatter()<\/code>\u53ef\u4ee5\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\uff0c\u4f8b\u5982\u5c06\u65e5\u671f\u683c\u5f0f\u5316\u4e3a\u7279\u5b9a\u6837\u5f0f\uff0c\u6216\u8005\u5c06\u6570\u5b57\u683c\u5f0f\u5316\u4e3a\u8d27\u5e01\u5f62\u5f0f\uff0c\u4ece\u800c\u63d0\u9ad8\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d\uff1a \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u5728\u5750\u6807\u8f74\u4e0a\u6807\u8bb0\u523b\u5ea6\u3002\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u503c\u3001\u8c03\u6574\u523b\u5ea6\u6807\u7b7e [&hellip;]","protected":false},"author":3,"featured_media":1108488,"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\/1108478"}],"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=1108478"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108478\/revisions"}],"predecessor-version":[{"id":1108490,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108478\/revisions\/1108490"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1108488"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1108478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1108478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1108478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}