{"id":1186361,"date":"2025-01-15T19:51:40","date_gmt":"2025-01-15T11:51:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1186361.html"},"modified":"2025-01-15T19:51:42","modified_gmt":"2025-01-15T11:51:42","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%ae%be%e7%bd%ae%e5%9d%90%e6%a0%87%e5%88%bb%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1186361.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25135214\/678abcdf-1f3e-42b5-9ff7-936e0e750263.webp\" alt=\"python\u4e2d\u5982\u4f55\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\" \/><\/p>\n<p><p> \u5728Python\u4e2d\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4f46\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Matplotlib\u5e93\u3002<strong>Matplotlib\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u81ea\u5b9a\u4e49\u5750\u6807\u8f74\u523b\u5ea6\u7684\u663e\u793a\u65b9\u5f0f\u3001\u523b\u5ea6\u6807\u7b7e\u3001\u523b\u5ea6\u7ebf\u7684\u6837\u5f0f\u4ee5\u53ca\u523b\u5ea6\u7684\u95f4\u9694<\/strong>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u7684\u5e38\u89c1\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u4f7f\u7528<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e<\/strong>\uff1a\u8fd9\u4e24\u4e2a\u51fd\u6570\u5141\u8bb8\u60a8\u6307\u5b9a\u523b\u5ea6\u7684\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u5217\u8868\u6765\u8bbe\u7f6e\u7279\u5b9a\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002<\/li>\n<li><strong>\u4f7f\u7528<code>ax.set_xticks()<\/code>\u548c<code>ax.set_yticks()<\/code>\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e<\/strong>\uff1a\u8fd9\u4e9b\u65b9\u6cd5\u5141\u8bb8\u60a8\u5728\u8f74\u5bf9\u8c61\u4e0a\u76f4\u63a5\u8bbe\u7f6e\u523b\u5ea6\u7684\u4f4d\u7f6e\u3002\u8fd9\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u60c5\u5f62\u975e\u5e38\u6709\u7528\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u5b9a\u5236\u9009\u9879\u3002<\/li>\n<li><strong>\u4f7f\u7528<code>MaxNLocator<\/code>\u548c\u5176\u4ed6\u523b\u5ea6\u5b9a\u4f4d\u5668<\/strong>\uff1aMatplotlib\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9884\u5b9a\u4e49\u7684\u523b\u5ea6\u5b9a\u4f4d\u5668\uff0c\u5982<code>MaxNLocator<\/code>\uff0c\u53ef\u4ee5\u5e2e\u52a9\u81ea\u52a8\u786e\u5b9a\u5408\u9002\u7684\u523b\u5ea6\u4f4d\u7f6e\u3002<\/li>\n<\/ol>\n<p><p>\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code><\/h3>\n<\/p>\n<p><p><code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u51fd\u6570\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u3002\u8fd9\u4e24\u4e2a\u51fd\u6570\u7684\u57fa\u672c\u7528\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.xticks([0, 1, 2, 3, 4, 5], [&#39;Zero&#39;, &#39;One&#39;, &#39;Two&#39;, &#39;Three&#39;, &#39;Four&#39;, &#39;Five&#39;])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>plt.yticks([0, 5, 10, 15, 20, 25], [&#39;0&#39;, &#39;5&#39;, &#39;10&#39;, &#39;15&#39;, &#39;20&#39;, &#39;25&#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\u4f20\u9012\u5217\u8868\u6765\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u60c5\u5f62\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528<code>ax.set_xticks()<\/code>\u548c<code>ax.set_yticks()<\/code><\/h3>\n<\/p>\n<p><p>\u5728\u66f4\u590d\u6742\u7684\u60c5\u5f62\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u66f4\u7cbe\u7ec6\u5730\u63a7\u5236\u523b\u5ea6\u8bbe\u7f6e\u3002\u8fd9\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>ax.set_xticks()<\/code>\u548c<code>ax.set_yticks()<\/code>\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u4f4d\u7f6e<\/strong><\/h2>\n<p>ax.set_xticks([0, 1, 2, 3, 4, 5])<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticklabels([&#39;Zero&#39;, &#39;One&#39;, &#39;Two&#39;, &#39;Three&#39;, &#39;Four&#39;, &#39;Five&#39;])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u4f4d\u7f6e<\/strong><\/h2>\n<p>ax.set_yticks([0, 5, 10, 15, 20, 25])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_yticklabels([&#39;0&#39;, &#39;5&#39;, &#39;10&#39;, &#39;15&#39;, &#39;20&#39;, &#39;25&#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\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u8f74\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528<code>ax.set_xticks()<\/code>\u548c<code>ax.set_xticklabels()<\/code>\u65b9\u6cd5\u5206\u522b\u8bbe\u7f6ex\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002\u540c\u6837\u5730\uff0c\u6211\u4eec\u4e5f\u8bbe\u7f6e\u4e86y\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528<code>MaxNLocator<\/code>\u548c\u5176\u4ed6\u523b\u5ea6\u5b9a\u4f4d\u5668<\/h3>\n<\/p>\n<p><p>Matplotlib\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u9884\u5b9a\u4e49\u7684\u523b\u5ea6\u5b9a\u4f4d\u5668\uff0c\u5e2e\u52a9\u81ea\u52a8\u786e\u5b9a\u5408\u9002\u7684\u523b\u5ea6\u4f4d\u7f6e\u3002<code>MaxNLocator<\/code>\u662f\u5176\u4e2d\u4e00\u4e2a\u5e38\u7528\u7684\u5b9a\u4f4d\u5668\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import MaxNLocator<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u4f7f\u7528MaxNLocator\u81ea\u52a8\u8bbe\u7f6ex\u8f74\u523b\u5ea6<\/strong><\/h2>\n<p>ax.xaxis.set_major_locator(MaxNLocator(integer=True))<\/p>\n<h2><strong>\u4f7f\u7528MaxNLocator\u81ea\u52a8\u8bbe\u7f6ey\u8f74\u523b\u5ea6<\/strong><\/h2>\n<p>ax.yaxis.set_major_locator(MaxNLocator(integer=True))<\/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\u4e86<code>MaxNLocator<\/code>\u6765\u81ea\u52a8\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u3002<code>MaxNLocator<\/code>\u53ef\u4ee5\u786e\u4fdd\u523b\u5ea6\u4f4d\u7f6e\u4e3a\u6574\u6570\uff0c\u5e76\u4e14\u6570\u91cf\u9002\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u8bbe\u7f6e\u523b\u5ea6\u7ebf\u6837\u5f0f\u548c\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\uff0c\u60a8\u8fd8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u523b\u5ea6\u7ebf\u7684\u6837\u5f0f\u548c\u523b\u5ea6\u6807\u7b7e\u7684\u6837\u5f0f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xticks([0, 1, 2, 3, 4, 5])<\/p>\n<p>ax.set_xticklabels([&#39;Zero&#39;, &#39;One&#39;, &#39;Two&#39;, &#39;Three&#39;, &#39;Four&#39;, &#39;Five&#39;])<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_yticks([0, 5, 10, 15, 20, 25])<\/p>\n<p>ax.set_yticklabels([&#39;0&#39;, &#39;5&#39;, &#39;10&#39;, &#39;15&#39;, &#39;20&#39;, &#39;25&#39;])<\/p>\n<h2><strong>\u81ea\u5b9a\u4e49\u523b\u5ea6\u7ebf\u6837\u5f0f<\/strong><\/h2>\n<p>ax.tick_params(axis=&#39;x&#39;, direction=&#39;in&#39;, length=10, width=2, colors=&#39;r&#39;)<\/p>\n<p>ax.tick_params(axis=&#39;y&#39;, direction=&#39;in&#39;, length=10, width=2, colors=&#39;b&#39;)<\/p>\n<h2><strong>\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u6837\u5f0f<\/strong><\/h2>\n<p>for tick in ax.get_xticklabels():<\/p>\n<p>    tick.set_rotation(45)<\/p>\n<p>    tick.set_fontsize(12)<\/p>\n<p>    tick.set_color(&#39;green&#39;)<\/p>\n<p>for tick in ax.get_yticklabels():<\/p>\n<p>    tick.set_rotation(45)<\/p>\n<p>    tick.set_fontsize(12)<\/p>\n<p>    tick.set_color(&#39;purple&#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>ax.tick_params()<\/code>\u65b9\u6cd5\u81ea\u5b9a\u4e49\u4e86\u523b\u5ea6\u7ebf\u7684\u6837\u5f0f\uff0c\u5305\u62ec\u65b9\u5411\u3001\u957f\u5ea6\u3001\u5bbd\u5ea6\u548c\u989c\u8272\u3002\u6211\u4eec\u8fd8\u901a\u8fc7\u904d\u5386<code>ax.get_xticklabels()<\/code>\u548c<code>ax.get_yticklabels()<\/code>\u6765\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u6837\u5f0f\uff0c\u5305\u62ec\u65cb\u8f6c\u89d2\u5ea6\u3001\u5b57\u4f53\u5927\u5c0f\u548c\u989c\u8272\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528<code>MultipleLocator<\/code>\u548c<code>AutoMinorLocator<\/code>\u8bbe\u7f6e\u6b21\u523b\u5ea6<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4e3b\u523b\u5ea6\u4e4b\u5916\uff0c\u6709\u65f6\u6211\u4eec\u8fd8\u9700\u8981\u8bbe\u7f6e\u6b21\u523b\u5ea6\u3002<code>MultipleLocator<\/code>\u548c<code>AutoMinorLocator<\/code>\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import MultipleLocator, AutoMinorLocator<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6e\u4e3b\u523b\u5ea6<\/strong><\/h2>\n<p>ax.xaxis.set_major_locator(MultipleLocator(1))<\/p>\n<p>ax.yaxis.set_major_locator(MultipleLocator(5))<\/p>\n<h2><strong>\u8bbe\u7f6e\u6b21\u523b\u5ea6<\/strong><\/h2>\n<p>ax.xaxis.set_minor_locator(AutoMinorLocator(2))<\/p>\n<p>ax.yaxis.set_minor_locator(AutoMinorLocator(5))<\/p>\n<h2><strong>\u663e\u793a\u6b21\u523b\u5ea6\u7ebf<\/strong><\/h2>\n<p>ax.tick_params(axis=&#39;x&#39;, which=&#39;minor&#39;, direction=&#39;in&#39;, length=5, width=1, colors=&#39;gray&#39;)<\/p>\n<p>ax.tick_params(axis=&#39;y&#39;, which=&#39;minor&#39;, direction=&#39;in&#39;, length=5, width=1, colors=&#39;gray&#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>MultipleLocator<\/code>\u8bbe\u7f6e\u4e86\u4e3b\u523b\u5ea6\u7684\u4f4d\u7f6e\uff0c\u5e76\u4f7f\u7528<code>AutoMinorLocator<\/code>\u8bbe\u7f6e\u4e86\u6b21\u523b\u5ea6\u7684\u4f4d\u7f6e\u3002\u7136\u540e\uff0c\u6211\u4eec\u901a\u8fc7<code>ax.tick_params()<\/code>\u65b9\u6cd5\u663e\u793a\u4e86\u6b21\u523b\u5ea6\u7ebf\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u81ea\u5b9a\u4e49\u523b\u5ea6\u683c\u5f0f<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e\u7684\u683c\u5f0f\u3002Matplotlib\u63d0\u4f9b\u4e86<code>FuncFormatter<\/code>\u548c<code>FormatStrFormatter<\/code>\u4e24\u79cd\u683c\u5f0f\u5316\u5668\uff0c\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>from matplotlib.ticker import FuncFormatter, FormatStrFormatter<\/p>\n<h2><strong>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4, 5]<\/p>\n<p>y = [0, 1, 4, 9, 16, 25]<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u4f7f\u7528FuncFormatter\u81ea\u5b9a\u4e49x\u8f74\u523b\u5ea6\u683c\u5f0f<\/strong><\/h2>\n<p>def format_x(value, tick_number):<\/p>\n<p>    return f&#39;{value:.1f} units&#39;<\/p>\n<p>ax.xaxis.set_major_formatter(FuncFormatter(format_x))<\/p>\n<h2><strong>\u4f7f\u7528FormatStrFormatter\u81ea\u5b9a\u4e49y\u8f74\u523b\u5ea6\u683c\u5f0f<\/strong><\/h2>\n<p>ax.yaxis.set_major_formatter(FormatStrFormatter(&#39;%.2f&#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\u4e86<code>FuncFormatter<\/code>\u548c<code>FormatStrFormatter<\/code>\u81ea\u5b9a\u4e49\u4e86x\u8f74\u548cy\u8f74\u7684\u523b\u5ea6\u6807\u7b7e\u683c\u5f0f\u3002<code>FuncFormatter<\/code>\u5141\u8bb8\u6211\u4eec\u5b9a\u4e49\u4e00\u4e2a\u81ea\u5b9a\u4e49\u51fd\u6570\u6765\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\uff0c\u800c<code>FormatStrFormatter<\/code>\u5219\u5141\u8bb8\u6211\u4eec\u4f7f\u7528\u683c\u5f0f\u5b57\u7b26\u4e32\u6765\u683c\u5f0f\u5316\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u8bbe\u7f6e\u5bf9\u6570\u523b\u5ea6<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u67d0\u4e9b\u6570\u636e\uff0c\u4f7f\u7528\u5bf9\u6570\u523b\u5ea6\u53ef\u80fd\u66f4\u5408\u9002\u3002Matplotlib\u63d0\u4f9b\u4e86<code>set_xscale()<\/code>\u548c<code>set_yscale()<\/code>\u65b9\u6cd5\u6765\u8bbe\u7f6e\u5bf9\u6570\u523b\u5ea6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\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>\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0.1, 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<h2><strong>\u8bbe\u7f6e\u5bf9\u6570\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xscale(&#39;log&#39;)<\/p>\n<p>ax.set_yscale(&#39;log&#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(&#39;log&#39;)<\/code>\u548c<code>set_yscale(&#39;log&#39;)<\/code>\u65b9\u6cd5\u5c06x\u8f74\u548cy\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u523b\u5ea6\u3002\u8fd9\u6837\u53ef\u4ee5\u66f4\u597d\u5730\u663e\u793a\u6570\u636e\u7684\u589e\u957f\u8d8b\u52bf\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u5404\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u7075\u6d3b\u5730\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u3002<strong>\u65e0\u8bba\u662f\u7b80\u5355\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u6807\u7b7e\u8bbe\u7f6e\uff0c\u8fd8\u662f\u66f4\u590d\u6742\u7684\u523b\u5ea6\u7ebf\u6837\u5f0f\u3001\u6b21\u523b\u5ea6\u8bbe\u7f6e\u3001\u81ea\u5b9a\u4e49\u523b\u5ea6\u683c\u5f0f\u4ee5\u53ca\u5bf9\u6570\u523b\u5ea6\u8bbe\u7f6e\uff0cMatplotlib\u90fd\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u6ee1\u8db3\u6211\u4eec\u7684\u9700\u6c42<\/strong>\u3002\u5e0c\u671b\u8fd9\u4e9b\u793a\u4f8b\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u638c\u63e1\u5982\u4f55\u5728Python\u4e2d\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u7ed3\u5408\u5176\u4ed6Matplotlib\u529f\u80fd\uff0c\u5982\u56fe\u8868\u6837\u5f0f\u3001\u989c\u8272\u3001\u6ce8\u91ca\u7b49\uff0c\u6765\u521b\u5efa\u66f4\u4e13\u4e1a\u548c\u7f8e\u89c2\u7684\u6570\u636e\u53ef\u89c6\u5316\u56fe\u8868\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u81ea\u5b9a\u4e49\u5750\u6807\u8f74\u7684\u523b\u5ea6\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u81ea\u5b9a\u4e49\u5750\u6807\u8f74\u7684\u523b\u5ea6\u3002\u53ef\u4ee5\u901a\u8fc7<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u51fd\u6570\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u523b\u5ea6\u503c\u548c\u6807\u7b7e\u3002\u4f8b\u5982\uff0c<code>plt.xticks([0, 1, 2], [&#39;\u96f6&#39;, &#39;\u4e00&#39;, &#39;\u4e8c&#39;])<\/code> \u53ef\u4ee5\u5c06x\u8f74\u7684\u523b\u5ea6\u8bbe\u7f6e\u4e3a0\u30011\u30012\uff0c\u5e76\u76f8\u5e94\u5730\u4e3a\u5b83\u4eec\u6dfb\u52a0\u6807\u7b7e\u3002\u8fd9\u6837\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<p><strong>\u5982\u4f55\u8c03\u6574\u5750\u6807\u523b\u5ea6\u7684\u8303\u56f4\u548c\u95f4\u9694\uff1f<\/strong><br \/>\u901a\u8fc7<code>plt.xlim()<\/code>\u548c<code>plt.ylim()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\u3002\u4f8b\u5982\uff0c<code>plt.xlim(0, 10)<\/code> \u5c06x\u8f74\u7684\u8303\u56f4\u9650\u5236\u57280\u523010\u4e4b\u95f4\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.locator_params()<\/code>\u6765\u8c03\u6574\u523b\u5ea6\u7684\u95f4\u9694\uff0c\u8fd9\u5bf9\u4e8e\u5904\u7406\u6570\u636e\u91cf\u8f83\u5927\u7684\u56fe\u8868\u5c24\u5176\u6709\u6548\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u5bf9\u6570\u5750\u6807\u8f74\u7684\u523b\u5ea6\u8bbe\u7f6e\uff1f<\/strong><br \/>\u5728\u4e00\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6570\u636e\u53ef\u80fd\u5448\u73b0\u6307\u6570\u589e\u957f\u7684\u8d8b\u52bf\uff0c\u4f7f\u7528\u5bf9\u6570\u5750\u6807\u8f74\u53ef\u4ee5\u66f4\u597d\u5730\u5c55\u793a\u8fd9\u4e9b\u6570\u636e\u3002\u901a\u8fc7<code>plt.xscale(&#39;log&#39;)<\/code>\u548c<code>plt.yscale(&#39;log&#39;)<\/code>\u53ef\u4ee5\u5c06\u5750\u6807\u8f74\u8bbe\u7f6e\u4e3a\u5bf9\u6570\u5c3a\u5ea6\u3002\u6b64\u65f6\uff0c\u523b\u5ea6\u4f1a\u81ea\u52a8\u8c03\u6574\u4e3a\u9002\u5408\u5bf9\u6570\u5c3a\u5ea6\u7684\u503c\uff0c\u7528\u6237\u4e5f\u53ef\u4ee5\u901a\u8fc7<code>plt.xticks()<\/code>\u548c<code>plt.yticks()<\/code>\u81ea\u5b9a\u4e49\u663e\u793a\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bbe\u7f6e\u5750\u6807\u523b\u5ea6\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4f46\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Matplotlib\u5e93\u3002Matplotlib\u5e93\u63d0 [&hellip;]","protected":false},"author":3,"featured_media":1186370,"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\/1186361"}],"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=1186361"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1186361\/revisions"}],"predecessor-version":[{"id":1186372,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1186361\/revisions\/1186372"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1186370"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1186361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1186361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1186361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}