{"id":1175326,"date":"2025-01-15T17:30:25","date_gmt":"2025-01-15T09:30:25","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1175326.html"},"modified":"2025-01-15T17:30:31","modified_gmt":"2025-01-15T09:30:31","slug":"python%e5%a6%82%e4%bd%95%e7%a7%bb%e5%8a%a8%e6%8a%98%e7%ba%bf%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1175326.html","title":{"rendered":"python\u5982\u4f55\u79fb\u52a8\u6298\u7ebf\u56fe"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25110812\/55ac6064-d49c-48e6-a3cb-9be8f89eec11.webp\" alt=\"python\u5982\u4f55\u79fb\u52a8\u6298\u7ebf\u56fe\" \/><\/p>\n<p><p> \u8981\u5728Python\u4e2d\u79fb\u52a8\u6298\u7ebf\u56fe\uff0c\u6709\u51e0\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\uff0c\u4e3b\u8981\u5305\u62ec<strong>\u66f4\u6539\u6570\u636e\u5750\u6807\u3001\u4f7f\u7528\u52a8\u753b\u5e93\u3001\u8c03\u6574\u56fe\u5f62\u4f4d\u7f6e<\/strong>\u3002\u5176\u4e2d\uff0c<strong>\u66f4\u6539\u6570\u636e\u5750\u6807<\/strong>\u662f\u6700\u4e3a\u5e38\u7528\u548c\u76f4\u63a5\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u66f4\u6539\u6298\u7ebf\u56fe\u7684\u5750\u6807\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u6298\u7ebf\u56fe\u5728\u56fe\u5f62\u4e2d\u79fb\u52a8\u3002\u4e0b\u9762\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n<p><h3>\u66f4\u6539\u6570\u636e\u5750\u6807<\/h3>\n<\/p>\n<p><p>\u66f4\u6539\u6570\u636e\u5750\u6807\u662f\u901a\u8fc7\u4fee\u6539\u7ed8\u56fe\u6570\u636e\u4e2d\u7684 x \u548c y \u503c\u6765\u5b9e\u73b0\u7684\u3002\u6211\u4eec\u4ee5 <code>matplotlib<\/code> \u5e93\u4e3a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u79fb\u52a8\u6298\u7ebf\u56fe\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n<ol>\n<li><strong>\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/strong>\uff1a\u9996\u5148\u5bfc\u5165 <code>matplotlib<\/code> \u548c <code>numpy<\/code> \u5e93\uff0c\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\u548c\u751f\u6210\u6570\u636e\u3002<\/li>\n<li><strong>\u751f\u6210\u6570\u636e<\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u6298\u7ebf\u56fe\u6570\u636e\u96c6\u3002<\/li>\n<li><strong>\u7ed8\u5236\u521d\u59cb\u56fe\u5f62<\/strong>\uff1a\u7528 <code>matplotlib<\/code> \u751f\u6210\u521d\u59cb\u6298\u7ebf\u56fe\u3002<\/li>\n<li><strong>\u66f4\u65b0\u6570\u636e<\/strong>\uff1a\u901a\u8fc7\u6539\u53d8\u6570\u636e\u7684 x \u548c y \u5750\u6807\u6765\u79fb\u52a8\u6298\u7ebf\u56fe\u3002<\/li>\n<li><strong>\u91cd\u7ed8\u56fe\u5f62<\/strong>\uff1a\u66f4\u65b0\u56fe\u5f62\u4ee5\u5c55\u793a\u65b0\u7684\u6570\u636e\u4f4d\u7f6e\u3002<\/li>\n<\/ol>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u751f\u6210\u521d\u59cb\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.sin(x)<\/p>\n<h2><strong>\u521b\u5efa\u521d\u59cb\u56fe\u5f62<\/strong><\/h2>\n<p>fig, ax = plt.subplots()<\/p>\n<p>line, = ax.plot(x, y)<\/p>\n<h2><strong>\u51fd\u6570\uff1a\u66f4\u65b0\u6570\u636e\u5e76\u91cd\u7ed8\u56fe\u5f62<\/strong><\/h2>\n<p>def update_line(new_x, new_y):<\/p>\n<p>    line.set_xdata(new_x)<\/p>\n<p>    line.set_ydata(new_y)<\/p>\n<p>    ax.relim()<\/p>\n<p>    ax.autoscale_view()<\/p>\n<p>    plt.draw()<\/p>\n<h2><strong>\u79fb\u52a8\u6298\u7ebf\u56fe<\/strong><\/h2>\n<p>new_x = x + 2  # \u5c06 x \u5750\u6807\u6574\u4f53\u53f3\u79fb2\u4e2a\u5355\u4f4d<\/p>\n<p>new_y = y      # y \u5750\u6807\u4fdd\u6301\u4e0d\u53d8<\/p>\n<p>update_line(new_x, new_y)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4f7f\u7528\u52a8\u753b\u5e93<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u76f4\u63a5\u66f4\u6539\u6570\u636e\u5750\u6807\u5916\uff0c\u4f7f\u7528 <code>matplotlib.animation<\/code> \u5e93\u53ef\u4ee5\u521b\u5efa\u52a8\u753b\u6548\u679c\uff0c\u4f7f\u6298\u7ebf\u56fe\u770b\u8d77\u6765\u50cf\u662f\u52a8\u6001\u79fb\u52a8\u7684\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>import matplotlib.animation as animation<\/p>\n<h2><strong>\u751f\u6210\u521d\u59cb\u6570\u636e<\/strong><\/h2>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.sin(x)<\/p>\n<p>fig, ax = plt.subplots()<\/p>\n<p>line, = ax.plot(x, y)<\/p>\n<h2><strong>\u66f4\u65b0\u51fd\u6570<\/strong><\/h2>\n<p>def update(frame):<\/p>\n<p>    new_x = x + frame * 0.1  # \u6bcf\u5e27\u79fb\u52a8 0.1 \u4e2a\u5355\u4f4d<\/p>\n<p>    line.set_xdata(new_x)<\/p>\n<p>    ax.relim()<\/p>\n<p>    ax.autoscale_view()<\/p>\n<p>    return line,<\/p>\n<p>ani = animation.FuncAnimation(fig, update, frames=np.arange(0, 20), interval=50, blit=True)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e00\u3001\u66f4\u6539\u6570\u636e\u5750\u6807<\/h2>\n<\/p>\n<p><p>\u66f4\u6539\u6570\u636e\u5750\u6807\u662f\u6700\u4e3a\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u76f4\u63a5\u4fee\u6539\u6298\u7ebf\u56fe\u7684\u6570\u636e\u70b9\u5750\u6807\uff0c\u6765\u5b9e\u73b0\u56fe\u5f62\u7684\u79fb\u52a8\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u63a5\uff0c\u5e76\u4e14\u4e0d\u9700\u8981\u989d\u5916\u7684\u5e93\u652f\u6301\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u751f\u6210\u521d\u59cb\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u751f\u6210\u4e00\u4e9b\u521d\u59cb\u6570\u636e\uff0c\u4f5c\u4e3a\u7ed8\u5236\u6298\u7ebf\u56fe\u7684\u57fa\u7840\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528 <code>numpy<\/code> \u5e93\u751f\u6210\u7b49\u95f4\u9694\u7684\u6570\u636e\u70b9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>x = np.linspace(0, 10, 100)  # \u751f\u62100\u523010\u4e4b\u95f4\u7684100\u4e2a\u7b49\u95f4\u9694\u6570\u636e\u70b9<\/p>\n<p>y = np.sin(x)  # \u4f7f\u7528\u6b63\u5f26\u51fd\u6570\u751f\u6210y\u503c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u7ed8\u5236\u521d\u59cb\u56fe\u5f62<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528 <code>matplotlib<\/code> \u5e93\u6765\u7ed8\u5236\u521d\u59cb\u7684\u6298\u7ebf\u56fe\u3002<\/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>line, = ax.plot(x, y)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u66f4\u65b0\u6570\u636e\u5e76\u91cd\u7ed8\u56fe\u5f62<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u66f4\u6539\u6570\u636e\u7684 x \u548c y \u5750\u6807\uff0c\u5e76\u8c03\u7528 <code>set_xdata<\/code> \u548c <code>set_ydata<\/code> \u65b9\u6cd5\u6765\u66f4\u65b0\u56fe\u5f62\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def update_line(new_x, new_y):<\/p>\n<p>    line.set_xdata(new_x)<\/p>\n<p>    line.set_ydata(new_y)<\/p>\n<p>    ax.relim()<\/p>\n<p>    ax.autoscale_view()<\/p>\n<p>    plt.draw()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>4\u3001\u79fb\u52a8\u6298\u7ebf\u56fe<\/h3>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u6539\u53d8 x \u548c y \u7684\u503c\u6765\u79fb\u52a8\u6298\u7ebf\u56fe\u3002\u4f8b\u5982\uff0c\u5c06 x \u5750\u6807\u6574\u4f53\u53f3\u79fb2\u4e2a\u5355\u4f4d\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">new_x = x + 2<\/p>\n<p>new_y = y<\/p>\n<p>update_line(new_x, new_y)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u4f7f\u7528\u52a8\u753b\u5e93<\/h2>\n<\/p>\n<p><p>\u4f7f\u7528 <code>matplotlib.animation<\/code> \u5e93\u53ef\u4ee5\u521b\u5efa\u52a8\u6001\u6548\u679c\uff0c\u4f7f\u6298\u7ebf\u56fe\u770b\u8d77\u6765\u50cf\u662f\u8fde\u7eed\u79fb\u52a8\u7684\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u52a8\u6001\u5c55\u793a\u6570\u636e\u53d8\u5316\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u5bfc\u5165\u52a8\u753b\u5e93<\/h3>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165 <code>matplotlib.animation<\/code> \u5e93\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.animation as animation<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u5b9a\u4e49\u66f4\u65b0\u51fd\u6570<\/h3>\n<\/p>\n<p><p>\u5b9a\u4e49\u4e00\u4e2a\u66f4\u65b0\u51fd\u6570\uff0c\u7528\u4e8e\u5728\u6bcf\u4e00\u5e27\u4e2d\u66f4\u65b0\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def update(frame):<\/p>\n<p>    new_x = x + frame * 0.1  # \u6bcf\u5e27\u79fb\u52a8 0.1 \u4e2a\u5355\u4f4d<\/p>\n<p>    line.set_xdata(new_x)<\/p>\n<p>    ax.relim()<\/p>\n<p>    ax.autoscale_view()<\/p>\n<p>    return line,<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u521b\u5efa\u52a8\u753b<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528 <code>FuncAnimation<\/code> \u65b9\u6cd5\u521b\u5efa\u52a8\u753b\uff0c\u5e76\u8bbe\u7f6e\u5e27\u6570\u548c\u95f4\u9694\u65f6\u95f4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">ani = animation.FuncAnimation(fig, update, frames=np.arange(0, 20), interval=50, blit=True)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u8c03\u6574\u56fe\u5f62\u4f4d\u7f6e<\/h2>\n<\/p>\n<p><p>\u8c03\u6574\u56fe\u5f62\u4f4d\u7f6e\u7684\u53e6\u4e00\u79cd\u65b9\u6cd5\u662f\u901a\u8fc7\u4fee\u6539\u56fe\u5f62\u7684\u5e03\u5c40\u53c2\u6570\uff0c\u4f7f\u6574\u4e2a\u56fe\u5f62\u5728\u7ed8\u56fe\u533a\u5185\u79fb\u52a8\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u6574\u4f53\u5e73\u79fb\u56fe\u5f62\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><h3>1\u3001\u8bbe\u7f6e\u56fe\u5f62\u5e03\u5c40\u53c2\u6570<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528 <code>matplotlib<\/code> \u4e2d\u7684 <code>subplots_adjust<\/code> \u65b9\u6cd5\u53ef\u4ee5\u8c03\u6574\u56fe\u5f62\u7684\u5e03\u5c40\u53c2\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig.subplots_adjust(left=0.2, right=0.8, top=0.8, bottom=0.2)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u52a8\u6001\u8c03\u6574\u5e03\u5c40\u53c2\u6570<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u52a8\u6001\u8c03\u6574\u5e03\u5c40\u53c2\u6570\uff0c\u53ef\u4ee5\u5b9e\u73b0\u56fe\u5f62\u7684\u79fb\u52a8\u6548\u679c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.animation as animation<\/p>\n<p>def update(frame):<\/p>\n<p>    fig.subplots_adjust(left=0.2 + frame * 0.01, right=0.8 + frame * 0.01)<\/p>\n<p>    plt.draw()<\/p>\n<p>ani = animation.FuncAnimation(fig, update, frames=np.arange(0, 20), interval=50)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u79fb\u52a8\u6298\u7ebf\u56fe\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002<strong>\u66f4\u6539\u6570\u636e\u5750\u6807<\/strong>\u662f\u6700\u4e3a\u5e38\u7528\u548c\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u4fee\u6539\u7ed8\u56fe\u6570\u636e\u4e2d\u7684 x \u548c y \u503c\uff0c\u53ef\u4ee5\u5b9e\u73b0\u56fe\u5f62\u7684\u79fb\u52a8\u3002<strong>\u4f7f\u7528\u52a8\u753b\u5e93<\/strong>\u53ef\u4ee5\u521b\u5efa\u52a8\u6001\u6548\u679c\uff0c\u4f7f\u6298\u7ebf\u56fe\u770b\u8d77\u6765\u50cf\u662f\u8fde\u7eed\u79fb\u52a8\u7684\uff0c\u975e\u5e38\u9002\u7528\u4e8e\u9700\u8981\u52a8\u6001\u5c55\u793a\u6570\u636e\u53d8\u5316\u7684\u573a\u666f\u3002<strong>\u8c03\u6574\u56fe\u5f62\u4f4d\u7f6e<\/strong>\u5219\u662f\u901a\u8fc7\u4fee\u6539\u56fe\u5f62\u7684\u5e03\u5c40\u53c2\u6570\uff0c\u4f7f\u6574\u4e2a\u56fe\u5f62\u5728\u7ed8\u56fe\u533a\u5185\u79fb\u52a8\uff0c\u9002\u7528\u4e8e\u9700\u8981\u6574\u4f53\u5e73\u79fb\u56fe\u5f62\u7684\u573a\u666f\u3002\u65e0\u8bba\u91c7\u7528\u54ea\u79cd\u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u901a\u8fc7 <code>matplotlib<\/code> \u5e93\u5b9e\u73b0\u7075\u6d3b\u7684\u56fe\u5f62\u79fb\u52a8\u6548\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u521b\u5efa\u548c\u79fb\u52a8\u6298\u7ebf\u56fe\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u521b\u5efa\u6298\u7ebf\u56fe\u3002\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7684\u5750\u6807\u8f74\u548c\u6570\u636e\u70b9\uff0c\u53ef\u4ee5\u5b9e\u73b0\u6298\u7ebf\u56fe\u7684\u79fb\u52a8\u3002\u4f7f\u7528<code>plt.plot()<\/code>\u51fd\u6570\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u7136\u540e\u901a\u8fc7<code>plt.xlim()<\/code>\u548c<code>plt.ylim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\uff0c\u4ece\u800c\u79fb\u52a8\u56fe\u5f62\u7684\u4f4d\u7f6e\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\uff0c\u6298\u7ebf\u56fe\u7684\u52a8\u6001\u66f4\u65b0\u662f\u5982\u4f55\u5b9e\u73b0\u7684\uff1f<\/strong><br 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