{"id":1082421,"date":"2025-01-08T12:48:41","date_gmt":"2025-01-08T04:48:41","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1082421.html"},"modified":"2025-01-08T12:48:44","modified_gmt":"2025-01-08T04:48:44","slug":"python%e4%b8%ad%e5%9d%90%e6%a0%87%e8%bd%b4%e5%a6%82%e4%bd%95%e5%8f%96%e5%af%b9%e6%95%b0-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1082421.html","title":{"rendered":"python\u4e2d\u5750\u6807\u8f74\u5982\u4f55\u53d6\u5bf9\u6570"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24183946\/88eb306e-ffd6-482e-b483-05c1e9180bbb.webp\" alt=\"python\u4e2d\u5750\u6807\u8f74\u5982\u4f55\u53d6\u5bf9\u6570\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u5c06\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<\/strong> \u8981\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>set_xscale<\/code> \u548c <code>set_yscale<\/code> \u65b9\u6cd5\uff0c\u5206\u522b\u8bbe\u7f6eX\u8f74\u548cY\u8f74\u7684\u523b\u5ea6\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<strong>\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7 <code>loglog<\/code> \u51fd\u6570\u540c\u65f6\u5c06\u4e24\u4e2a\u5750\u6807\u8f74\u90fd\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<\/strong><\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5Matplotlib\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u5b89\u88c5 Matplotlib\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u57fa\u672c\u7528\u6cd5<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528 Matplotlib \u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u5c06\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5bfc\u5165 Matplotlib \u5e93\u3002<\/li>\n<li>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61\u3002<\/li>\n<li>\u8bbe\u7f6e\u5750\u6807\u8f74\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<\/li>\n<li>\u7ed8\u5236\u56fe\u5f62\u3002<\/li>\n<\/ol>\n<p><p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5c06Y\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6307\u6570\u51fd\u6570\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(1, 10, 100)<\/p>\n<p>y = np.exp(x)<\/p>\n<p>plt.plot(x, y)<\/p>\n<p>plt.yscale(&#39;log&#39;)<\/p>\n<p>plt.xlabel(&#39;X\u8f74&#39;)<\/p>\n<p>plt.ylabel(&#39;\u5bf9\u6570Y\u8f74&#39;)<\/p>\n<p>plt.title(&#39;Y\u8f74\u5bf9\u6570\u523b\u5ea6\u793a\u4f8b&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 <code>yscale(&#39;log&#39;)<\/code> \u5c06Y\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002\u7c7b\u4f3c\u5730\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>xscale(&#39;log&#39;)<\/code> \u5c06X\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u540c\u65f6\u5c06\u4e24\u4e2a\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u540c\u65f6\u5c06X\u8f74\u548cY\u8f74\u90fd\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002\u53ef\u4ee5\u4f7f\u7528 <code>loglog<\/code> \u51fd\u6570\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6307\u6570\u51fd\u6570\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(1, 10, 100)<\/p>\n<p>y = np.exp(x)<\/p>\n<p>plt.loglog(x, y)<\/p>\n<p>plt.xlabel(&#39;\u5bf9\u6570X\u8f74&#39;)<\/p>\n<p>plt.ylabel(&#39;\u5bf9\u6570Y\u8f74&#39;)<\/p>\n<p>plt.title(&#39;X\u8f74\u548cY\u8f74\u5bf9\u6570\u523b\u5ea6\u793a\u4f8b&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u8bbe\u7f6e\u5bf9\u6570\u523b\u5ea6\u7684\u5176\u4ed6\u53c2\u6570<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u672c\u7684\u5bf9\u6570\u523b\u5ea6\u8bbe\u7f6e\uff0cMatplotlib \u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9ad8\u7ea7\u53c2\u6570\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5b9a\u5236\u5bf9\u6570\u523b\u5ea6\u7684\u884c\u4e3a\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u5bf9\u6570\u7684\u57fa\u6570\u3001\u6b21\u8981\u523b\u5ea6\u3001\u683c\u5f0f\u5316\u6807\u7b7e\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6307\u6570\u51fd\u6570\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(1, 10, 100)<\/p>\n<p>y = np.exp(x)<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<p>ax.set_xscale(&#39;log&#39;, base=2)<\/p>\n<p>ax.set_yscale(&#39;log&#39;, base=10)<\/p>\n<p>ax.set_xlabel(&#39;\u5bf9\u6570X\u8f74 (base 2)&#39;)<\/p>\n<p>ax.set_ylabel(&#39;\u5bf9\u6570Y\u8f74 (base 10)&#39;)<\/p>\n<p>ax.set_title(&#39;\u5b9a\u5236\u5bf9\u6570\u523b\u5ea6\u793a\u4f8b&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 <code>set_xscale<\/code> \u548c <code>set_yscale<\/code> \u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7 <code>base<\/code> \u53c2\u6570\u8bbe\u7f6e\u4e86\u5bf9\u6570\u7684\u57fa\u6570\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u5904\u7406\u5bf9\u6570\u523b\u5ea6\u7684\u7279\u6b8a\u60c5\u51b5<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5bf9\u6570\u523b\u5ea6\u56fe\u53ef\u80fd\u9047\u5230\u4e00\u4e9b\u7279\u6b8a\u60c5\u51b5\uff0c\u4f8b\u5982\u6570\u636e\u5305\u542b\u975e\u6b63\u503c\u6216\u8005\u96f6\u503c\u3002\u8fd9\u4e9b\u60c5\u51b5\u9700\u8981\u989d\u5916\u7684\u5904\u7406\uff0c\u56e0\u4e3a\u5bf9\u6570\u523b\u5ea6\u4e0d\u80fd\u5305\u542b\u96f6\u6216\u8d1f\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u5305\u542b\u96f6\u503c\u7684\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.exp(x) - np.exp(5)<\/p>\n<h2><strong>\u8fc7\u6ee4\u6389\u975e\u6b63\u503c<\/strong><\/h2>\n<p>x = x[y &gt; 0]<\/p>\n<p>y = y[y &gt; 0]<\/p>\n<p>plt.plot(x, y)<\/p>\n<p>plt.yscale(&#39;log&#39;)<\/p>\n<p>plt.xlabel(&#39;X\u8f74&#39;)<\/p>\n<p>plt.ylabel(&#39;\u5bf9\u6570Y\u8f74&#39;)<\/p>\n<p>plt.title(&#39;\u5904\u7406\u975e\u6b63\u503c\u7684\u5bf9\u6570\u523b\u5ea6\u793a\u4f8b&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u8fc7\u6ee4\u6389\u975e\u6b63\u503c\uff0c\u786e\u4fdd\u6570\u636e\u9002\u5408\u5bf9\u6570\u523b\u5ea6\u663e\u793a\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u5728\u591a\u5b50\u56fe\u4e2d\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5728\u4e00\u4e2a\u56fe\u5f62\u4e2d\u5305\u542b\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u4e14\u6bcf\u4e2a\u5b50\u56fe\u7684\u5750\u6807\u8f74\u53ef\u80fd\u9700\u8981\u4e0d\u540c\u7684\u523b\u5ea6\u8bbe\u7f6e\u3002Matplotlib \u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u521b\u5efa\u548c\u7ba1\u7406\u591a\u5b50\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(1, 10, 100)<\/p>\n<p>y1 = np.exp(x)<\/p>\n<p>y2 = x2<\/p>\n<p>fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))<\/p>\n<p>ax1.plot(x, y1)<\/p>\n<p>ax1.set_yscale(&#39;log&#39;)<\/p>\n<p>ax1.set_xlabel(&#39;X\u8f74&#39;)<\/p>\n<p>ax1.set_ylabel(&#39;\u5bf9\u6570Y\u8f74&#39;)<\/p>\n<p>ax1.set_title(&#39;\u5b50\u56fe1: Y\u8f74\u5bf9\u6570\u523b\u5ea6&#39;)<\/p>\n<p>ax2.plot(x, y2)<\/p>\n<p>ax2.set_xscale(&#39;log&#39;)<\/p>\n<p>ax2.set_xlabel(&#39;\u5bf9\u6570X\u8f74&#39;)<\/p>\n<p>ax2.set_ylabel(&#39;Y\u8f74&#39;)<\/p>\n<p>ax2.set_title(&#39;\u5b50\u56fe2: X\u8f74\u5bf9\u6570\u523b\u5ea6&#39;)<\/p>\n<p>plt.tight_layout()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e24\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u8bbe\u7f6e\u4e86\u4e0d\u540c\u7684\u5bf9\u6570\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u5bf9\u6570\u523b\u5ea6\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6848\u4f8b<\/h3>\n<\/p>\n<p><h4>1. \u6570\u636e\u5c55\u793a\u4e0e\u5206\u6790<\/h4>\n<\/p>\n<p><p>\u5bf9\u6570\u523b\u5ea6\u5728\u6570\u636e\u5c55\u793a\u4e0e\u5206\u6790\u4e2d\u975e\u5e38\u6709\u7528\uff0c\u7279\u522b\u662f\u5f53\u6570\u636e\u8303\u56f4\u8f83\u5927\u65f6\u3002\u4f8b\u5982\uff0c\u5c55\u793a\u4eba\u53e3\u589e\u957f\u3001\u91d1\u878d\u5e02\u573a\u6307\u6570\u3001\u7269\u7406\u5b9e\u9a8c\u6570\u636e\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u6a21\u62df\u6570\u636e<\/strong><\/h2>\n<p>years = np.arange(1900, 2021)<\/p>\n<p>population = np.exp((years - 1900) \/ 40) * 1e6<\/p>\n<p>plt.plot(years, population)<\/p>\n<p>plt.yscale(&#39;log&#39;)<\/p>\n<p>plt.xlabel(&#39;\u5e74\u4efd&#39;)<\/p>\n<p>plt.ylabel(&#39;\u4eba\u53e3&#39;)<\/p>\n<p>plt.title(&#39;\u4eba\u53e3\u589e\u957f\u7684\u5bf9\u6570\u523b\u5ea6\u5c55\u793a&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u4e2a\u6a21\u62df\u7684\u4eba\u53e3\u589e\u957f\u6570\u636e\uff0c\u901a\u8fc7\u5bf9\u6570\u523b\u5ea6\uff0c\u53ef\u4ee5\u66f4\u6e05\u695a\u5730\u770b\u5230\u589e\u957f\u8d8b\u52bf\u3002<\/p>\n<\/p>\n<p><h4>2. \u79d1\u5b66\u5b9e\u9a8c\u6570\u636e<\/h4>\n<\/p>\n<p><p>\u5728\u79d1\u5b66\u5b9e\u9a8c\u4e2d\uff0c\u5bf9\u6570\u523b\u5ea6\u7528\u4e8e\u5c55\u793a\u5b9e\u9a8c\u6570\u636e\u7684\u5bf9\u6570\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u5c55\u793a\u7535\u6d41\u4e0e\u7535\u538b\u7684\u5bf9\u6570\u5173\u7cfb\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u6a21\u62df\u6570\u636e<\/strong><\/h2>\n<p>voltage = np.linspace(1, 100, 100)<\/p>\n<p>current = np.log(voltage) * 10<\/p>\n<p>plt.plot(voltage, current)<\/p>\n<p>plt.xscale(&#39;log&#39;)<\/p>\n<p>plt.yscale(&#39;log&#39;)<\/p>\n<p>plt.xlabel(&#39;\u7535\u538b (V)&#39;)<\/p>\n<p>plt.ylabel(&#39;\u7535\u6d41 (A)&#39;)<\/p>\n<p>plt.title(&#39;\u7535\u6d41\u4e0e\u7535\u538b\u7684\u5bf9\u6570\u5173\u7cfb&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u7535\u6d41\u4e0e\u7535\u538b\u7684\u5bf9\u6570\u5173\u7cfb\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u7ed3\u8bba<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u8bb2\u89e3\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u5c06\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002<strong>\u65e0\u8bba\u662f\u57fa\u672c\u7528\u6cd5\u3001\u540c\u65f6\u8bbe\u7f6e\u4e24\u4e2a\u5750\u6807\u8f74\u4e3a\u5bf9\u6570\u523b\u5ea6\uff0c\u8fd8\u662f\u5904\u7406\u7279\u6b8a\u60c5\u51b5\u3001\u5728\u591a\u5b50\u56fe\u4e2d\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6\uff0c\u6211\u4eec\u90fd\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/strong>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u5c55\u793a\u4e86\u5bf9\u6570\u523b\u5ea6\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u4e00\u4e9b\u5177\u4f53\u6848\u4f8b\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u5bf9\u6570\u523b\u5ea6\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5bf9\u5750\u6807\u8f74\u8fdb\u884c\u5bf9\u6570\u53d8\u6362\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u5bf9\u5750\u6807\u8f74\u8fdb\u884c\u5bf9\u6570\u53d8\u6362\u3002\u901a\u8fc7\u8c03\u7528<code>plt.xscale(&#39;log&#39;)<\/code>\u6216<code>plt.yscale(&#39;log&#39;)<\/code>\uff0c\u53ef\u4ee5\u5c06X\u8f74\u6216Y\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u5c3a\u5ea6\u3002\u4f8b\u5982\uff0c\u7ed8\u5236\u56fe\u5f62\u65f6\u53ef\u4ee5\u8fd9\u6837\u5b9e\u73b0\uff1a<\/p>\n<pre><code class=\"language-python\">import matplotlib.pyplot as plt\nimport numpy as np\n\nx = np.linspace(1, 100, 400)\ny = np.log(x)\n\nplt.plot(x, y)\nplt.xscale(&#39;log&#39;)  # \u8bbe\u7f6eX\u8f74\u4e3a\u5bf9\u6570\u5c3a\u5ea6\nplt.yscale(&#39;linear&#39;)  # \u8bbe\u7f6eY\u8f74\u4e3a\u7ebf\u6027\u5c3a\u5ea6\nplt.show()\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u80fd\u591f\u6709\u6548\u5730\u5904\u7406\u6570\u636e\u8303\u56f4\u8f83\u5927\u7684\u60c5\u51b5\uff0c\u4f7f\u5f97\u6570\u636e\u53ef\u89c6\u5316\u66f4\u4e3a\u6e05\u6670\u3002<\/p>\n<p><strong>\u5bf9\u6570\u5750\u6807\u8f74\u9002\u5408\u7528\u5728\u4ec0\u4e48\u6837\u7684\u6570\u636e\u96c6\u4e0a\uff1f<\/strong><br \/>\u5bf9\u6570\u5750\u6807\u8f74\u7279\u522b\u9002\u7528\u4e8e\u6570\u636e\u5206\u5e03\u4e0d\u5747\u5300\u7684\u60c5\u51b5\uff0c\u4f8b\u5982\u6307\u6570\u589e\u957f\u3001\u5e42\u5f8b\u5206\u5e03\u6216\u5177\u6709\u591a\u4e2a\u6570\u91cf\u7ea7\u7684\u6570\u636e\u3002\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u5305\u62ec\u79d1\u5b66\u7814\u7a76\u3001\u91d1\u878d\u6570\u636e\u5206\u6790\u4ee5\u53ca\u4efb\u4f55\u9700\u8981\u5c55\u793a\u5927\u8303\u56f4\u6570\u503c\u53d8\u5316\u7684\u56fe\u8868\u3002\u5728\u8fd9\u4e9b\u60c5\u51b5\u4e0b\uff0c\u5bf9\u6570\u5750\u6807\u8f74\u53ef\u4ee5\u5e2e\u52a9\u89c2\u5bdf\u6570\u636e\u7684\u8d8b\u52bf\u548c\u6a21\u5f0f\uff0c\u907f\u514d\u6570\u636e\u88ab\u6781\u7aef\u503c\u6240\u4e3b\u5bfc\u3002<\/p>\n<p><strong>\u5982\u4f55\u81ea\u5b9a\u4e49\u5bf9\u6570\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\uff1f<\/strong><br \/>\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u51fd\u6570\u81ea\u5b9a\u4e49\u5bf9\u6570\u5750\u6807\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u3002\u53ef\u4ee5\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e\u548c\u5bf9\u5e94\u7684\u6807\u7b7e\u6587\u672c\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">plt.xscale(&#39;log&#39;)\nplt.xticks([1, 10, 100], [&#39;1&#39;, &#39;10&#39;, &#39;100&#39;])  # \u81ea\u5b9a\u4e49X\u8f74\u523b\u5ea6\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u8ba9\u7528\u6237\u80fd\u591f\u6839\u636e\u7279\u5b9a\u9700\u6c42\u8c03\u6574\u5750\u6807\u8f74\u7684\u663e\u793a\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u5177\u53ef\u8bfb\u6027\u548c\u4e13\u4e1a\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u5c06\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002 \u8981\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u53ef\u4ee5\u4f7f\u7528 se [&hellip;]","protected":false},"author":3,"featured_media":1082428,"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\/1082421"}],"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=1082421"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1082421\/revisions"}],"predecessor-version":[{"id":1082430,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1082421\/revisions\/1082430"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1082428"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1082421"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1082421"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1082421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}