{"id":1072497,"date":"2025-01-08T11:16:44","date_gmt":"2025-01-08T03:16:44","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1072497.html"},"modified":"2025-01-08T11:16:46","modified_gmt":"2025-01-08T03:16:46","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%ae%be%e7%bd%ae%e5%9d%90%e6%a0%87%e8%bd%b4%e8%8c%83%e5%9b%b4-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1072497.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25102711\/b54fb5d4-73f4-4922-b353-4d7be99c2516.webp\" alt=\"python\u4e2d\u5982\u4f55\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u4e2d\u7684<code>set_xlim()<\/code>\u548c<code>set_ylim()<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\u3002\u8fd9\u4e24\u4e2a\u65b9\u6cd5\u5206\u522b\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4\u3002<\/strong> \u4f8b\u5982\uff0c<strong>\u53ef\u4ee5\u4f7f\u7528<code>plt.xlim()<\/code>\u548c<code>plt.ylim()<\/code>\u6765\u8bbe\u7f6e\u5f53\u524d\u56fe\u5f62\u7684x\u8f74\u548cy\u8f74\u8303\u56f4\uff0c\u6216\u8005\u4f7f\u7528<code>ax.set_xlim()<\/code>\u548c<code>ax.set_ylim()<\/code>\u6765\u8bbe\u7f6e\u7279\u5b9a\u5b50\u56fe\u7684\u8303\u56f4<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u7684\u7528\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u793a\u4f8b\u4ee3\u7801\u6765\u5e2e\u52a9\u7406\u89e3\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528 <code>plt.xlim()<\/code> \u548c <code>plt.ylim()<\/code><\/h3>\n<\/p>\n<p><p><code>plt.xlim()<\/code> \u548c <code>plt.ylim()<\/code> \u662f Matplotlib \u7684 <code>pyplot<\/code> \u6a21\u5757\u4e2d\u7684\u51fd\u6570\uff0c\u5b83\u4eec\u7528\u4e8e\u8bbe\u7f6e\u5f53\u524d\u56fe\u5f62\u7684x\u8f74\u548cy\u8f74\u8303\u56f4\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4]<\/p>\n<p>y = [10, 20, 25, 30, 35]<\/p>\n<h2><strong>\u521b\u5efa\u56fe\u5f62<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>plt.xlim(0, 5)<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>plt.ylim(0, 40)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>plt.xlim(0, 5)<\/code> \u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u52305\uff0c\u800c <code>plt.ylim(0, 40)<\/code> \u5c06y\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523040\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528 <code>ax.set_xlim()<\/code> \u548c <code>ax.set_ylim()<\/code><\/h3>\n<\/p>\n<p><p><code>ax.set_xlim()<\/code> \u548c <code>ax.set_ylim()<\/code> \u662f <code>Axes<\/code> \u7c7b\u4e2d\u7684\u65b9\u6cd5\uff0c\u5b83\u4eec\u7528\u4e8e\u8bbe\u7f6e\u7279\u5b9a\u5b50\u56fe\u7684x\u8f74\u548cy\u8f74\u8303\u56f4\u3002\u901a\u5e38\u5728\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\u65f6\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4]<\/p>\n<p>y = [10, 20, 25, 30, 35]<\/p>\n<h2><strong>\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>ax.set_xlim(0, 5)<\/p>\n<h2><strong>\u8bbe\u7f6ey\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>ax.set_ylim(0, 40)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>ax.set_xlim(0, 5)<\/code> \u5c06\u5b50\u56fe\u7684x\u8f74\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u52305\uff0c\u800c <code>ax.set_ylim(0, 40)<\/code> \u5c06\u5b50\u56fe\u7684y\u8f74\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523040\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u52a8\u6001\u8bbe\u7f6e\u8f74\u8303\u56f4<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u9759\u6001\u8bbe\u7f6e\u8f74\u8303\u56f4\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u6570\u636e\u52a8\u6001\u8bbe\u7f6e\u8f74\u8303\u56f4\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u6570\u636e\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u6765\u8bbe\u7f6e\u8f74\u8303\u56f4\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4]<\/p>\n<p>y = [10, 20, 25, 30, 35]<\/p>\n<h2><strong>\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u52a8\u6001\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>ax.set_xlim(min(x) - 1, max(x) + 1)<\/p>\n<p>ax.set_ylim(min(y) - 10, max(y) + 10)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>ax.set_xlim(min(x) - 1, max(x) + 1)<\/code> \u548c <code>ax.set_ylim(min(y) - 10, max(y) + 10)<\/code> \u52a8\u6001\u8bbe\u7f6e\u4e86x\u8f74\u548cy\u8f74\u7684\u8303\u56f4\uff0c\u4f7f\u5f97\u56fe\u5f62\u5728\u6570\u636e\u8fb9\u754c\u4e4b\u5916\u7559\u6709\u4e00\u5b9a\u7684\u7a7a\u767d\u533a\u57df\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528 <code>plt.axis()<\/code><\/h3>\n<\/p>\n<p><p><code>plt.axis()<\/code> \u662f\u4e00\u4e2a\u66f4\u9ad8\u7ea7\u7684\u51fd\u6570\uff0c\u7528\u4e8e\u4e00\u6b21\u6027\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4\u3002\u5b83\u63a5\u53d7\u4e00\u4e2a\u5217\u8868 <code>[xmin, xmax, ymin, ymax]<\/code> \u4f5c\u4e3a\u53c2\u6570\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4]<\/p>\n<p>y = [10, 20, 25, 30, 35]<\/p>\n<h2><strong>\u521b\u5efa\u56fe\u5f62<\/strong><\/h2>\n<p>plt.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>plt.axis([0, 5, 0, 40])<\/p>\n<h2><strong>\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>plt.axis([0, 5, 0, 40])<\/code> \u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u52305\uff0c\u5c06y\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523040\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4ea4\u4e92\u5f0f\u8bbe\u7f6e\u8f74\u8303\u56f4<\/h3>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5728\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u73af\u5883\u4e2d\u52a8\u6001\u8c03\u6574\u8f74\u8303\u56f4\u3002Matplotlib \u652f\u6301\u4e0e Jupyter Notebook \u7b49\u4ea4\u4e92\u5f0f\u73af\u5883\u7684\u96c6\u6210\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ea4\u4e92\u65b9\u5f0f\u8c03\u6574\u8f74\u8303\u56f4\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>%matplotlib notebook<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e9b\u6570\u636e<\/strong><\/h2>\n<p>x = [0, 1, 2, 3, 4]<\/p>\n<p>y = [10, 20, 25, 30, 35]<\/p>\n<h2><strong>\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u8bbe\u7f6e\u521d\u59cbx\u8f74\u548cy\u8f74\u8303\u56f4<\/strong><\/h2>\n<p>ax.set_xlim(0, 5)<\/p>\n<p>ax.set_ylim(0, 40)<\/p>\n<h2><strong>\u4ea4\u4e92\u5f0f\u7ed8\u56fe<\/strong><\/h2>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528 <code>%matplotlib notebook<\/code> \u9b54\u6cd5\u547d\u4ee4\u542f\u7528\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u6a21\u5f0f\uff0c\u53ef\u4ee5\u5728\u7ed8\u56fe\u7a97\u53e3\u4e2d\u52a8\u6001\u8c03\u6574\u8f74\u8303\u56f4\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u5982\u4f55\u5728 Python \u4e2d\u4f7f\u7528 Matplotlib \u5e93\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec <code>plt.xlim()<\/code> \u548c <code>plt.ylim()<\/code>\u3001<code>ax.set_xlim()<\/code> \u548c <code>ax.set_ylim()<\/code>\uff0c\u4ee5\u53ca\u66f4\u9ad8\u7ea7\u7684 <code>plt.axis()<\/code>\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u6839\u636e\u6570\u636e\u52a8\u6001\u8bbe\u7f6e\u8f74\u8303\u56f4\uff0c\u5e76\u5728\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u8c03\u6574\u8f74\u8303\u56f4\u3002\u4e86\u89e3\u5e76\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u7075\u6d3b\u5730\u63a7\u5236\u56fe\u5f62\u7684\u663e\u793a\u6548\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\uff1f<\/strong><br \/>\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>xlim()<\/code>\u548c<code>ylim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\u3002<code>xlim()<\/code>\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u7684\u8303\u56f4\uff0c<code>ylim()<\/code>\u7528\u4e8e\u8bbe\u7f6ey\u8f74\u7684\u8303\u56f4\u3002\u4f8b\u5982\uff0c<code>plt.xlim(0, 10)<\/code>\u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523010\uff0c\u800c<code>plt.ylim(0, 100)<\/code>\u5c06y\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u5230100\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u56fe\u5f62\u66f4\u52a0\u6e05\u6670\uff0c\u7a81\u51fa\u60a8\u60f3\u8981\u5c55\u793a\u7684\u6570\u636e\u3002<\/p>\n<p><strong>\u5728\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u53c2\u6570\uff1f<\/strong><br \/>\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u65f6\uff0c<code>xlim()<\/code>\u548c<code>ylim()<\/code>\u51fd\u6570\u90fd\u53ef\u4ee5\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff0c\u5206\u522b\u8868\u793a\u5750\u6807\u8f74\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7<code>set_xlim()<\/code>\u548c<code>set_ylim()<\/code>\u65b9\u6cd5\u5728Axes\u5bf9\u8c61\u4e0a\u8fdb\u884c\u8bbe\u7f6e\u3002\u8fd9\u4e9b\u65b9\u6cd5\u63d0\u4f9b\u4e86\u66f4\u7075\u6d3b\u7684\u65b9\u5f0f\u6765\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u591a\u4e2a\u5b50\u56fe\u65f6\u3002<\/p>\n<p><strong>\u5982\u4f55\u52a8\u6001\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\u4ee5\u9002\u5e94\u6570\u636e\uff1f<\/strong><br \/>\u5982\u679c\u5e0c\u671b\u5750\u6807\u8f74\u8303\u56f4\u6839\u636e\u6570\u636e\u81ea\u52a8\u8c03\u6574\uff0c\u53ef\u4ee5\u4f7f\u7528<code>autoscale()<\/code>\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u4f1a\u6839\u636e\u5f53\u524d\u6570\u636e\u7684\u8303\u56f4\u52a8\u6001\u66f4\u65b0\u5750\u6807\u8f74\u3002\u6b64\u5916\uff0c<code>tight_layout()<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u8c03\u6574\u5b50\u56fe\u53c2\u6570\uff0c\u4f7f\u5f97\u56fe\u5f62\u5185\u5bb9\u66f4\u52a0\u7d27\u51d1\uff0c\u907f\u514d\u8f74\u6807\u7b7e\u6216\u6807\u9898\u88ab\u906e\u6321\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u5e76\u6dfb\u52a0\u7f51\u683c\u7ebf\uff1f<\/strong><br \/>\u5728\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528<code>plt.grid()<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u7f51\u683c\u7ebf\uff0c\u4f7f\u5f97\u56fe\u5f62\u66f4\u52a0\u6613\u8bfb\u3002\u901a\u8fc7\u8bbe\u7f6e<code>plt.grid(True)<\/code>\u53ef\u4ee5\u5f00\u542f\u7f51\u683c\u7ebf\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u81ea\u5b9a\u4e49\u7f51\u683c\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\u3002\u4f8b\u5982\uff0c<code>plt.grid(color=&#39;gray&#39;, linestyle=&#39;--&#39;, linewidth=0.5)<\/code>\u5c06\u7f51\u683c\u7ebf\u8bbe\u7f6e\u4e3a\u7070\u8272\u865a\u7ebf\u3002\u8fd9\u6709\u52a9\u4e8e\u7528\u6237\u66f4\u597d\u5730\u5224\u65ad\u6570\u636e\u70b9\u7684\u5177\u4f53\u4f4d\u7f6e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u4e2d\u7684set_xlim()\u548cset_ylim( 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