{"id":1044155,"date":"2024-12-31T13:12:10","date_gmt":"2024-12-31T05:12:10","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1044155.html"},"modified":"2024-12-31T13:12:12","modified_gmt":"2024-12-31T05:12:12","slug":"python%e5%a6%82%e4%bd%95%e8%ae%a9%e7%bb%98%e5%88%b6%e5%87%ba%e7%9a%84%e5%9b%be%e5%b1%85%e4%b8%ad","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1044155.html","title":{"rendered":"python\u5982\u4f55\u8ba9\u7ed8\u5236\u51fa\u7684\u56fe\u5c45\u4e2d"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/f2d9baac-d7cc-44cf-ad3c-ecda44e5e268.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u8ba9\u7ed8\u5236\u51fa\u7684\u56fe\u5c45\u4e2d\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8ba9\u7ed8\u5236\u51fa\u7684\u56fe\u5c45\u4e2d\uff0c\u4f7f\u7528\u5b50\u56fe\u5e03\u5c40\u3001\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\u3001\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u4e0e\u9ad8\u5ea6\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528 <code>matplotlib<\/code> \u5e93\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u901a\u8fc7\u8bbe\u7f6e\u5b50\u56fe\u5e03\u5c40\u548c\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u53ef\u4ee5\u5b9e\u73b0\u56fe\u5f62\u7684\u5c45\u4e2d\u663e\u793a\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/p>\n<\/p>\n<p><p>\u5f53\u4f7f\u7528 <code>matplotlib<\/code> \u5e93\u65f6\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7 <code>fig.subplots_adjust<\/code> \u65b9\u6cd5\u6765\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u4ee5\u786e\u4fdd\u56fe\u5f62\u5c45\u4e2d\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e <code>left<\/code> \u548c <code>right<\/code> \u53c2\u6570\u6765\u8c03\u6574\u56fe\u5f62\u5728\u6c34\u5e73\u8f74\u4e0a\u7684\u4f4d\u7f6e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>ax.plot([1, 2, 3], [1, 4, 9])<\/p>\n<p>fig.subplots_adjust(left=0.1, right=0.9)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7 <code>fig.subplots_adjust(left=0.1, right=0.9)<\/code> \u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u4f7f\u56fe\u5f62\u5c45\u4e2d\u663e\u793a\u3002\u63a5\u4e0b\u6765\u6211\u4eec\u5c06\u8be6\u7ec6\u8ba8\u8bba\u5982\u4f55\u901a\u8fc7\u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u56fe\u5f62\u7684\u5c45\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n<h2><strong>\u4e00\u3001\u4f7f\u7528\u5b50\u56fe\u5e03\u5c40<\/strong><\/h2>\n<p><p>\u5728Python\u4e2d\uff0c\u4f7f\u7528 <code>matplotlib<\/code> \u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u521b\u5efa\u5b50\u56fe\u5e03\u5c40\uff0c\u5e76\u901a\u8fc7\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd\u6765\u5b9e\u73b0\u56fe\u5f62\u7684\u5c45\u4e2d\u663e\u793a\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>fig, axs = plt.subplots(2, 2, figsize=(8, 6))<\/p>\n<p>fig.subplots_adjust(hspace=0.3, wspace=0.3)<\/p>\n<p>for i in range(2):<\/p>\n<p>    for j in range(2):<\/p>\n<p>        axs[i, j].plot([1, 2, 3], [1, 4, 9])<\/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\u4e00\u4e2a2&#215;2\u7684\u5b50\u56fe\u5e03\u5c40\uff0c\u5e76\u901a\u8fc7 <code>fig.subplots_adjust(hspace=0.3, wspace=0.3)<\/code> \u65b9\u6cd5\u6765\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u6c34\u5e73\u548c\u5782\u76f4\u95f4\u8ddd\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u6240\u6709\u7684\u5b50\u56fe\u90fd\u5728\u56fe\u5f62\u7684\u4e2d\u5fc3\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n<h2><strong>\u4e8c\u3001\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd<\/strong><\/h2>\n<p><p>\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\u662f\u53e6\u4e00\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\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>fig, ax = plt.subplots(figsize=(8, 6))<\/p>\n<p>ax.plot([1, 2, 3], [1, 4, 9])<\/p>\n<p>fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7 <code>fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)<\/code> \u65b9\u6cd5\u6765\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u4ece\u800c\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n<h2><strong>\u4e09\u3001\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u4e0e\u9ad8\u5ea6<\/strong><\/h2>\n<p><p>\u901a\u8fc7\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u4e0e\u9ad8\u5ea6\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\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>fig, ax = plt.subplots(figsize=(8, 6))<\/p>\n<p>ax.plot([1, 2, 3], [1, 4, 9])<\/p>\n<p>ax.set_xlim(0, 4)<\/p>\n<p>ax.set_ylim(0, 10)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7 <code>ax.set_xlim(0, 4)<\/code> \u548c <code>ax.set_ylim(0, 10)<\/code> \u65b9\u6cd5\u6765\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\uff0c\u4ece\u800c\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n<h2><strong>\u56db\u3001\u7efc\u5408\u5e94\u7528<\/strong><\/h2>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u7efc\u5408\u4f7f\u7528\u4e0a\u8ff0\u65b9\u6cd5\u6765\u5b9e\u73b0\u66f4\u52a0\u590d\u6742\u7684\u56fe\u5f62\u5e03\u5c40\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>fig, axs = plt.subplots(3, 3, figsize=(12, 8))<\/p>\n<p>fig.subplots_adjust(hspace=0.4, wspace=0.4, left=0.05, right=0.95, top=0.95, bottom=0.05)<\/p>\n<p>for i in range(3):<\/p>\n<p>    for j in range(3):<\/p>\n<p>        axs[i, j].plot([1, 2, 3], [1, 4, 9])<\/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\u4e00\u4e2a3&#215;3\u7684\u5b50\u56fe\u5e03\u5c40\uff0c\u5e76\u901a\u8fc7 <code>fig.subplots_adjust<\/code> \u65b9\u6cd5\u6765\u8c03\u6574\u5b50\u56fe\u4e4b\u95f4\u7684\u95f4\u8ddd\u548c\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u4ece\u800c\u786e\u4fdd\u6240\u6709\u7684\u5b50\u56fe\u90fd\u5728\u56fe\u5f62\u7684\u4e2d\u5fc3\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n<h2><strong>\u7ed3\u8bba<\/strong><\/h2>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u8f7b\u677e\u5b9e\u73b0\u7ed8\u5236\u51fa\u7684\u56fe\u5c45\u4e2d\u663e\u793a\u3002\u65e0\u8bba\u662f\u901a\u8fc7\u8c03\u6574\u5b50\u56fe\u5e03\u5c40\u3001\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\uff0c\u8fd8\u662f\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u4e0e\u9ad8\u5ea6\uff0c\u90fd\u53ef\u4ee5\u8fbe\u5230\u9884\u671f\u7684\u6548\u679c\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u5c45\u4e2d\u7684\u56fe\u5f62\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u4f7f\u5176\u5c45\u4e2d\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5728\u7ed8\u5236\u56fe\u5f62\u65f6\u8bbe\u7f6e\u9002\u5f53\u7684\u5750\u6807\u8f74\u9650\u5236\uff0c\u4f7f\u56fe\u5f62\u7684\u4e2d\u5fc3\u4f4d\u4e8e\u5750\u6807\u7cfb\u7684\u4e2d\u5fc3\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6exlim\u548cylim\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5927\u5c0f\u548c\u5e03\u5c40\uff0c\u786e\u4fdd\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u5c45\u4e2d\u663e\u793a\u3002<\/p>\n<p><strong>\u5728\u4f7f\u7528Matplotlib\u65f6\uff0c\u5982\u4f55\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\u4ee5\u5b9e\u73b0\u5c45\u4e2d\u6548\u679c\uff1f<\/strong><br \/>\u4e3a\u4e86\u4f7f\u7ed8\u5236\u7684\u56fe\u5f62\u770b\u8d77\u6765\u66f4\u4e3a\u5c45\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>subplots_adjust()<\/code>\u51fd\u6570\u6765\u8c03\u6574\u8fb9\u8ddd\u3002\u901a\u8fc7\u4fee\u6539left\u3001right\u3001top\u548cbottom\u53c2\u6570\uff0c\u53ef\u4ee5\u63a7\u5236\u56fe\u5f62\u5728\u7a97\u53e3\u4e2d\u7684\u4f4d\u7f6e\uff0c\u4ece\u800c\u8fbe\u5230\u5c45\u4e2d\u6548\u679c\u3002\u6b64\u5916\uff0c\u4f7f\u7528<code>plt.tight_layout()<\/code>\u53ef\u4ee5\u81ea\u52a8\u8c03\u6574\u5b50\u56fe\u53c2\u6570\uff0c\u4f7f\u56fe\u5f62\u7684\u5e03\u5c40\u66f4\u52a0\u6574\u9f50\u7f8e\u89c2\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u5e93\u6765\u5b9e\u73b0Python\u56fe\u5f62\u7684\u5c45\u4e2d\u7ed8\u5236\uff1f<\/strong><br \/>\u9664\u4e86Matplotlib\uff0cSeaborn\u548cPlotly\u7b49\u5e93\u4e5f\u652f\u6301\u56fe\u5f62\u7684\u5c45\u4e2d\u7ed8\u5236\u3002Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\uff0c\u53ef\u4ee5\u4f7f\u7528\u76f8\u540c\u7684\u65b9\u6cd5\u6765\u8bbe\u7f6e\u56fe\u5f62\u5c45\u4e2d\u3002\u800cPlotly\u5219\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7075\u6d3b\u7684\u5e03\u5c40\u9009\u9879\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u56fe\u8868\u7684margin\u5c5e\u6027\u6765\u7cbe\u786e\u63a7\u5236\u56fe\u5f62\u7684\u5c45\u4e2d\u6548\u679c\uff0c\u4f7f\u5176\u5728\u7f51\u9875\u6216\u5e94\u7528\u7a0b\u5e8f\u4e2d\u663e\u793a\u5f97\u66f4\u597d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u8ba9\u7ed8\u5236\u51fa\u7684\u56fe\u5c45\u4e2d\uff0c\u4f7f\u7528\u5b50\u56fe\u5e03\u5c40\u3001\u8c03\u6574\u56fe\u5f62\u7684\u8fb9\u8ddd\u3001\u8bbe\u7f6e\u7ed8\u56fe\u533a\u57df\u7684\u5bbd\u5ea6\u4e0e\u9ad8\u5ea6\u3002 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