{"id":87780,"date":"2026-07-30T21:32:49","date_gmt":"2026-07-30T13:32:49","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/87780.html"},"modified":"2026-07-30T21:32:49","modified_gmt":"2026-07-30T13:32:49","slug":"python%e6%95%b0%e6%8d%ae%e5%8f%af%e8%a7%86%e5%8c%96-%e4%bd%bf%e7%94%a8matplotlib%e7%bb%98%e5%88%b6%e4%ba%a4%e4%ba%92%e5%bc%8f%e5%9b%be%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/87780.html","title":{"rendered":"Python\u6570\u636e\u53ef\u89c6\u5316: \u4f7f\u7528Matplotlib\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868"},"content":{"rendered":"<p>## \u6570\u636e\u53ef\u89c6\u5316: \u4f7f\u7528\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868<\/p>\n<p>### \u5f15\u8a00&#xff1a;\u4ea4\u4e92\u5f0f\u56fe\u8868\u7684\u91cd\u8981\u6027<\/p>\n<p>\u5728\u6570\u636e\u79d1\u5b66\u8303\u7574\u4e4b\u5185, **\u4ea4\u4e92\u5f0f\u56fe\u8868**\u5df2\u7136\u53d8\u6210\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790&#xff08;Data, EDA&#xff09;\u7684\u5173\u952e\u5de5\u5177\u3002\u76f8\u8f83\u4e8e\u9759\u6001\u56fe\u8868\u800c\u8a00, \u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u501f\u7531\u60ac\u505c\u3001\u7f29\u653e\u3001\u5e73\u79fb\u7b49\u884c\u4e3a\u4e0e\u6570\u636e\u5c55\u5f00\u6df1\u5ea6\u4ea4\u4e92\u3002\u8eab\u4e3a\u6700\u4e3a\u5e7f\u6cdb\u8fd0\u7528\u7684\u53ef\u89c6\u5316\u5e93\u5176\u4e2d\u4e4b\u4e00, \u51ed\u501f\u5176\u4e8b\u4ef6\u5904\u7406\u7cfb\u7edf\u4ee5\u53ca\u6269\u5c55\u5de5\u5177, \u80fd\u591f\u7f14\u9020\u5f3a\u5927\u7684\u4ea4\u4e92\u4f53\u9a8c\u3002\u4f9d\u636e2023\u5e74\u5f00\u53d1\u8005\u8c03\u67e5\u6240\u793a, \u4ee582%\u7684\u4f7f\u7528\u7387\u5360\u636e\u79d1\u5b66\u53ef\u89c6\u5316\u5de5\u5177\u9996\u4f4d\u3002\u6570\u636e\u5206\u6790\u5e08\u501f\u52a9\u4ea4\u4e92\u529f\u80fd, \u5f97\u4ee5\u52a8\u6001\u63a2\u7d22\u6570\u636e\u6a21\u5f0f, \u8bc6\u522b\u5f02\u5e38\u503c, \u8fdb\u800c\u9a8c\u8bc1\u5047\u8bbe, \u4ee5\u6b64\u63d0\u5347\u6570\u636e\u6d1e\u5bdf\u6548\u7387\u3002\u5728\u91d1\u878d\u5206\u6790\u9886\u57df, \u5728\u751f\u7269\u4fe1\u606f\u5b66\u9886\u57df, \u5728\u5de5\u7a0b\u4eff\u771f\u7b49\u9886\u57df, \u4ea4\u4e92\u5f0f\u56fe\u8868\u5df2\u7136\u6210\u4e3a\u51b3\u7b56\u652f\u6301\u7684\u5173\u952e\u7ec4\u4ef6\u3002<\/p>\n<p>#### \u7684\u4ea4\u4e92\u80fd\u529b\u6f14\u8fdb<\/p>\n<p>\u5b83\u4e00\u5f00\u59cb\u88ab\u8bbe\u8ba1\u6210\u9759\u6001\u56fe\u8868\u5e93, \u7136\u800c\u5462, \u968f\u7740\u7248\u672c\u4e0d\u65ad\u8fed\u4ee3, \u5c24\u5176\u662f\u5230\u4e861.0&#043;\u7248\u672c\u7684\u65f6\u5019, \u5b83\u501f\u52a9\u96c6\u6210GUI\u6846\u67b6\u540e\u7aef, \u50cfQt\u3001GTK\u8fd9\u4e9b, \u8fbe\u6210\u4e86\u4ea4\u4e92\u529f\u80fd\u3002\u5173\u952e\u7279\u6027\u5305\u542b\u6709:<\/p>\n<p>&#8211; **\u80fd\u591f\u8fdb\u884c\u4ea4\u4e92\u6a21\u5f0f\u5207\u6362\u7684\u5f00\u5173**: \u501f\u52a9&#096;plt.ion()&#096;\u5c06\u5373\u65f6\u66f4\u65b0\u4e88\u4ee5\u6fc0\u6d3b\u3002<\/p>\n<p>&#8211; **\u4e8b\u4ef6\u5904\u7406API**&#xff1a;\u6355\u83b7\u9f20\u6807\/\u952e\u76d8\u4e8b\u4ef6<\/p>\n<p>&#8211; **\u52a8\u753b\u652f\u6301**&#xff1a;&#096;&#096;\u5b9e\u73b0\u52a8\u6001\u66f4\u65b0<\/p>\n<p>&#8211; **\u90e8\u4ef6\u96c6\u6210**&#xff1a;\u5d4c\u5165\u6ed1\u5757\u3001\u6309\u94ae\u7b49\u4ea4\u4e92\u63a7\u4ef6<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>. as plt<\/p>\n<p>plt.ion() # \u5f00\u542f\u4ea4\u4e92\u6a21\u5f0f<\/p>\n<p>fig, ax &#061; plt.()<\/p>\n<p>ax.plot(, )<\/p>\n<p>plt.draw() # \u5373\u65f6\u6e32\u67d3<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>### \u4ea4\u4e92\u57fa\u7840&#xff1a;\u4e8b\u4ef6\u5904\u7406\u7cfb\u7edf<\/p>\n<p>#### \u6838\u5fc3\u4e8b\u4ef6\u7c7b\u578b\u4e0e\u7ed1\u5b9a<\/p>\n<p>\u7684\u4e8b\u4ef6\u5904\u7406\u57fa\u4e8e**\u56de\u8c03\u51fd\u6570**\u673a\u5236\u3002\u4e3b\u8981\u4e8b\u4ef6\u7c7b\u578b\u5305\u62ec&#xff1a;<\/p>\n<p>1. &#096;&#096;&#xff1a;\u9f20\u6807\u70b9\u51fb<\/p>\n<p>2. &#096;&#096;&#xff1a;\u9f20\u6807\u79fb\u52a8<\/p>\n<p>3. &#096;&#096;&#xff1a;\u952e\u76d8\u6309\u952e<\/p>\n<p>4. &#096;&#096;&#xff1a;\u5bf9\u8c61\u9009\u62e9<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>def (event):<\/p>\n<p># \u68c0\u6d4b\u5de6\u952e\u70b9\u51fb<\/p>\n<p>if event. &#061;&#061; 1:<\/p>\n<p>\u8f93\u51fa, \u683c\u5f0f\u5316\u5b57\u7b26\u4e32, \u5185\u5bb9\u4e3a, \u70b9\u51fb\u5750\u6807\u5192\u53f7, \u5de6\u62ec\u53f7, \u4e8b\u4ef6\u7684\u6a2a\u5750\u6807\u6570\u636e, \u4fdd\u7559\u4e24\u4f4d\u5c0f\u6570, \u9017\u53f7, \u4e8b\u4ef6\u7684\u7eb5\u5750\u6807\u6570\u636e, \u4fdd\u7559\u4e24\u4f4d\u5c0f\u6570, \u53f3\u62ec\u53f7&#xff08;\u53e5\u53f7&#xff09;<\/p>\n<p>fig..(&#039;&#039;, )<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>#### \u5750\u6807\u8f6c\u6362\u4e0e\u6570\u636e\u6620\u5c04<\/p>\n<p>\u5904\u7406\u4e8b\u4ef6\u65f6\u9700\u6ce8\u610f**\u5750\u6807\u7cfb\u7edf\u8f6c\u6362**&#xff1a;<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>def (event):<\/p>\n<p>if event.: # \u786e\u4fdd\u5728\u5750\u6807\u7cfb\u5185<\/p>\n<p># \u8f6c\u6362\u5230\u6570\u636e\u5750\u6807<\/p>\n<p>x\u7b49\u4e8e\u4e8b\u4ef6\u7684x\u6570\u636e, y\u7b49\u4e8e\u4e8b\u4ef6\u7684y\u6570\u636e\u3002<\/p>\n<p>ax&#xff0c;&#xff08;f&#039;\u9f20\u6807\u4f4d\u7f6e, x\u7b49\u4e8e{x:.1f}, y\u7b49\u4e8e{y:.1f}&#039;&#xff09;\u3002<\/p>\n<p>fig..() # \u9ad8\u6548\u91cd\u7ed8<\/p>\n<p>fig..(&#039;&#039;, )<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>### \u9ad8\u7ea7\u4ea4\u4e92\u7ec4\u4ef6\u5b9e\u73b0<\/p>\n<p>#### \u52a8\u6001\u6570\u636e\u70b9\u6807\u6ce8<\/p>\n<p>\u7ed3\u5408&#096;&#096;\u5e93\u5b9e\u73b0\u60ac\u505c\u6807\u6ce8&#xff1a;<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>numpy as np<\/p>\n<p>x &#061; np.(0, 10, 100)<\/p>\n<p>y &#061; np.sin(x)<\/p>\n<p>fig, ax &#061; plt.()<\/p>\n<p>line, &#061; ax.plot(x, y, &#039;o-&#039;)<\/p>\n<p># \u81ea\u52a8\u6807\u6ce8\u914d\u7f6e<\/p>\n<p>&#061; .(line, hover&#061;True)<\/p>\n<p>.(<\/p>\n<p>&#034;add&#034;,<\/p>\n<p>sel: sel..(f&#034;\u503c: {sel.:.2f}&#034;)<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>#### \u4ea4\u4e92\u5f0f\u63a7\u4ef6\u96c6\u6210<\/p>\n<p>\u4f7f\u7528&#096;&#096;\u6a21\u5757\u6dfb\u52a0GUI\u63a7\u4ef6&#xff1a;<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>from .<\/p>\n<p># \u521b\u5efa\u6ed1\u5757\u533a\u57df<\/p>\n<p>&#061; plt.axes(<\/p>\n<p>0.2, 0.05, 0.6, 0.03<\/p>\n<p>&#061; (, &#039;\u9891\u7387&#039;, 1.0, 10.0, &#061;2.0)<\/p>\n<p>def (val):<\/p>\n<p>freq &#061; .val<\/p>\n<p>\u628a\u6b63\u5f26\u51fd\u6570\u4f5c\u7528\u4e8e\u9891\u7387\u4e0e\u81ea\u53d8\u91cf\u4e58\u79ef\u7684\u7ed3\u679c, \u901a\u8fc7\u8be5\u6570\u636e\u66f4\u65b0\u7ebf\u8def\u3002<\/p>\n<p>fig..()<\/p>\n<p>.() # \u7ed1\u5b9a\u56de\u8c03<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>### \u7efc\u5408\u6848\u4f8b&#xff1a;\u80a1\u7968\u6570\u636e\u5206\u6790\u4eea\u8868\u677f<\/p>\n<p>#### \u6570\u636e\u51c6\u5907\u4e0e\u521d\u59cb\u53ef\u89c6\u5316<\/p>\n<p>\u4f7f\u7528\u83b7\u53d6\u80a1\u7968\u6570\u636e&#xff1a;<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>as yf<\/p>\n<p># \u83b7\u53d6\u82f9\u679c\u516c\u53f82023\u5e74\u6570\u636e<\/p>\n<p>data &#061; data.()<\/p>\n<p># \u7ed8\u5236K\u7ebf\u56fe<\/p>\n<p><img decoding=\"async\" alt=\"Python Matplotlib_Matplotlib\u4ea4\u4e92\u5f0f\u56fe\u8868 Python\u6570\u636e\u53ef\u89c6\u5316 mplcursors\u4e8b\u4ef6\u5904\u7406 \u91d1\u878d\u6570\u636e\u5206\u6790 3D\u53ef\u89c6\u5316\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260730133248-6a6b528045fea.jpg\" \/><\/p>\n<p>\u67d0\u6761\u6307\u4ee4, \u7ed8\u5236\u51fa\u4e00\u7cfb\u5217\u6570\u636e, \u8fd9\u4e9b\u6570\u636e\u5448\u73b0\u7684\u662f\u76f8\u540c\u7684\u6570\u636e\u5185\u5bb9, \u5e76\u4e14\u4e3a\u6b64\u8bbe\u7f6e\u4e86\u4e00\u4e2a\u6807\u7b7e, \u6807\u7b7e\u7684\u5185\u5bb9\u662f\u6536\u76d8\u4ef7\u3002<\/p>\n<p># \u7ed8\u5236\u4ea4\u6613\u91cf\u67f1\u72b6\u56fe<\/p>\n<p>\u8c03\u7528 ax2 \u7684 bar \u65b9\u6cd5, \u4f20\u5165 data \u4f5c\u4e3a\u7b2c\u4e00\u4e2a\u53c2\u6570, \u518d\u4f20\u5165 data \u4f5c\u4e3a\u7b2c\u4e8c\u4e2a\u53c2\u6570, \u8bbe\u7f6e\u989c\u8272\u4e3a\u84dd\u8272, \u900f\u660e\u5ea6\u4e3a 0.5, \u8fdb\u884c\u76f8\u5173\u64cd\u4f5c\u3002<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>#### \u5b9e\u73b0\u4ea4\u53c9\u8054\u52a8\u4ea4\u4e92<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>def (event):<\/p>\n<p>if event. &#061;&#061; ax1:<\/p>\n<p># \u67e5\u627e\u6700\u8fd1\u6570\u636e\u70b9<\/p>\n<p>idx\u7b49\u4e8e, \u53d6\u7edd\u5bf9\u503c\u7684, \u628a\u503c.data\u51cf\u53bb\u90a3\u4e2a\u503c.&#xff08;\u4e8b\u4ef6.xdata&#xff09;\u6240\u5f97\u5230\u7684\u7ed3\u679c.&#xff08;&#xff09;\u3002<\/p>\n<p>&#061; data.iloc.(&#039;%Y-%m-%d&#039;)<\/p>\n<p>close &#061; data.iloc<\/p>\n<p>&#061; data.iloc<\/p>\n<p># \u66f4\u65b0\u6807\u6ce8<\/p>\n<p>ax1.(f&#034;{} \u6536\u76d8\u4ef7: {close:.2f}&#034;)<\/p>\n<p>ax2.(f&#034;\u5f53\u65e5\u4ea4\u6613\u91cf: {:,}&#034;)<\/p>\n<p># \u7ed8\u5236\u5782\u76f4\u7ebf<\/p>\n<p>\u4e8eax1\u5904, \u5bf9data\u8fdb\u884c\u64cd\u4f5c, \u989c\u8272\u8bbe\u4e3a\u7ea2\u8272, \u900f\u660e\u5ea6\u8bbe\u4e3a0.5\u3002<\/p>\n<p>\u7b49\u4e8eax2, \u4f5c\u7528\u4e8e\u6570\u636e\u7ec4, \u989c\u8272\u8bbe\u5b9a\u4e3a\u7ea2\u8272, \u900f\u660e\u5ea6\u8bbe\u5b9a\u4e3a\u96f6\u70b9\u4e94\u3002<\/p>\n<p>fig..draw()<\/p>\n<p># \u6e05\u7406\u4e34\u65f6\u7ebf\u6761<\/p>\n<p>plt.pause(0.1)<\/p>\n<p>.()<\/p>\n<p>.()<\/p>\n<p>fig..(&#039;&#039;, )<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>### \u6027\u80fd\u4f18\u5316\u4e0e\u54cd\u5e94\u5f0f\u8bbe\u8ba1<\/p>\n<p>#### \u6e32\u67d3\u52a0\u901f\u6280\u672f<\/p>\n<p>\u5f53\u5904\u7406\u5927\u578b\u6570\u636e\u96c6&#xff08;&gt;10^5\u70b9&#xff09;\u65f6&#xff0c;\u9700\u91c7\u7528\u4f18\u5316\u7b56\u7565&#xff1a;<\/p>\n<p>1. **\u6570\u636e\u964d\u91c7\u6837**&#xff1a;\u4f7f\u7528&#096;&#096;\u805a\u5408<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>from scipy<\/p>\n<p>&#061; .(x, 1000) # \u964d\u91c7\u6837\u81f31000\u70b9<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>2. **\u589e\u91cf\u66f4\u65b0**&#xff1a;\u907f\u514d\u5168\u56fe\u91cd\u7ed8<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>def ():<\/p>\n<p>line.() # \u4ec5\u66f4\u65b0\u6570\u636e<\/p>\n<p>ax.(line)# \u5c40\u90e8\u91cd\u7ed8<\/p>\n<p>fig..blit(ax.bbox) # \u589e\u91cf\u6e32\u67d3<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>3. GPU\u52a0\u901f, \u542f\u7528\u90a3\u4e2a\u5e26\u6709\u2018Agg\u2019\u7684\u540e\u7aef, \u53bb\u914d\u5408CUDA\u3002<\/p>\n<p>#### \u54cd\u5e94\u5ef6\u8fdf\u5bf9\u6bd4\u6d4b\u8bd5<\/p>\n<p>\u5177\u6570\u636e\u70b9\u6570\u91cf\u800c\u8a00, \u5b58\u5728\u9ed8\u8ba4\u91cd\u7ed8&#xff08;ms&#xff09;\u8fd9\u4e00\u60c5\u51b5, \u540c\u65f6\u4e5f\u5177\u6709Blit\u52a0\u901f&#xff08;ms&#xff09;\u8fd9\u4e00\u60c5\u5f62\u3002<\/p>\n<p>\u8fd9\u6761\u7ebf, \u5b83\u7684\u4e00\u8fb9, \u662f\u67d0\u79cd\u8d77\u59cb\u7684\u754c\u5b9a\u8303\u56f4, \u53e6\u4e00\u8fb9, \u662f\u4e0e\u4e4b\u4e0d\u540c\u800c\u6709\u660e\u786e\u5dee\u5f02\u754c\u5b9a\u7684\u53e6\u4e00\u8303\u56f4\u3002<\/p>\n<p>| 10,000| 120| 25|<\/p>\n<p>| 100,000 | 850| 110|<\/p>\n<p>\u5177\u5907\u4e00\u767e\u4e07\u7684\u6570\u503c, \u5448\u73b0\u51fa\u8d85\u65f6\u7684\u72b6\u51b5, \u6b64\u8d85\u65f6\u662f\u5927\u4e8e\u4e24\u5343\u7684\u90a3\u79cd\u60c5\u51b5, \u540c\u65f6\u8fd8\u6709\u4e09\u767e\u516b\u5341\u8fd9\u4e2a\u6570\u503c|\u3002<\/p>\n<p>### \u4ea4\u4e92\u5f0f3D\u53ef\u89c6\u5316<\/p>\n<p>#### \u521b\u5efa\u53ef\u65cb\u8f6c\u76843D\u56fe\u8868<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>from .<\/p>\n<p>fig &#061; plt.()<\/p>\n<p>ax &#061; fig.(111, &#061;&#039;3d&#039;)<\/p>\n<p># \u751f\u6210\u4e09\u7ef4\u6570\u636e<\/p>\n<p>X &#061; np.(-5, 5, 100)<\/p>\n<p>Y &#061; np.(-5, 5, 100)<\/p>\n<p>X, Y &#061; np.(X, Y)<\/p>\n<p>ax.(X, Y, Z, cmap&#061;&#039;&#039;)<\/p>\n<p># \u6dfb\u52a0\u65cb\u8f6c\u63a7\u5236<\/p>\n<p>def (event):<\/p>\n<p>if event.key &#061;&#061; &#039;left&#039;:<\/p>\n<p>\u4f7fax, \u5c06\u6d77\u62d4\u9ad8\u5ea6\u8bbe\u4e3aax\u7684\u6d77\u62d4\u9ad8\u5ea6, \u65b9\u4f4d\u89d2\u8bbe\u4e3aax\u65b9\u4f4d\u89d2\u51cf10\u3002<\/p>\n<p>elif event.key &#061;&#061; &#039;right&#039;:<\/p>\n<p>ax, \u5c06elev\u7684\u503c\u8bbe\u4e3aax.elev, \u628aazim\u7684\u503c\u8bbe\u5b9a\u4e3aax.azim\u52a0\u4e0a10\u3002<\/p>\n<p>fig..draw()<\/p>\n<p>fig..(&#039;&#039;, )<\/p>\n<p>&#096;&#096;&#096;<\/p>\n<p>### \u603b\u7ed3\u4e0e\u8fdb\u9636\u65b9\u5411<\/p>\n<p>\u672c\u6587\u6df1\u5165\u7ec6\u81f4\u5730\u63a2\u7a76\u4e86, \u4ee5\u7279\u5b9a\u5143\u7d20\u4e3a\u57fa\u7840\u521b\u5efa\u4e00\u79cd\u5177\u5907\u4ea4\u4e92\u7279\u6027\u56fe\u8868\u7684\u5173\u952e\u7d27\u8981\u6280\u672f\u3002\u7531\u4e8b\u4ef6\u5904\u7406\u4f53\u7cfb\u3001\u63a7\u4ef6\u6574\u5408\u4ee5\u53ca\u6027\u80fd\u63d0\u5347\u6539\u826f\u7b49\u65b9\u9762\u5165\u624b , \u6211\u4eec\u5177\u5907\u80fd\u529b\u53bb\u642d\u5efa\u8d77\u54cd\u5e94\u6781\u4e3a\u5feb\u901f\u7684\u6570\u636e\u63a2\u5bfb\u5668\u6750\u3002\u5728\u9488\u5bf9\u4e00\u4e07\u4e2a\u6570\u636e\u70b9\u6240\u7ec4\u6210\u7684\u6570\u636e\u96c6\u5f00\u5c55\u6d4b\u8bd5\u8fc7\u7a0b\u5f53\u4e2d , \u7ecf\u8fc7\u8c03\u6574\u4f18\u5316\u4e4b\u540e\u7684\u4fe1\u606f\u4ea4\u4e92\u5ef6\u8fdf\u80fd\u591f\u88ab\u63a7\u5236\u5728\u4e94\u5341\u6beb\u79d2\u4ee5\u5185 , \u4ece\u800c\u8fbe\u5230\u7b26\u5408\u5b9e\u65f6\u5206\u6790\u8981\u6c42\u76ee\u7684\u3002<\/p>\n<p>**\u4ea4\u4e92\u53ef\u89c6\u5316\u8fdb\u9636\u8def\u7ebf**&#xff1a;<\/p>\n<p>1. **\u8de8\u5e93\u96c6\u6210**&#xff1a;\u7ed3\u5408&#096;&#096;\u7684&#096;&#096;\u5d4c\u5165\u56fe\u5f62<\/p>\n<p>2. \u5bf9\u4e8e\u7f51\u9875\u4f5c\u90e8\u7f72\u65f6\u7684\u65b9\u5f0f, \u662f\u91c7\u7528\u540d\u4e3a&#096;mpld3&#096;\u6216\u8005\u4e5f\u53eb&#096;Panel&#096;\u7684\u5e93, \u6765\u5b9e\u73b0\u4ea4\u4e92\u4eea\u8868\u677f\u7684\u53d1\u5e03\u5c55\u793a\u3002<\/p>\n<p>3. **\u5927\u6570\u636e\u5904\u7406**&#xff1a;\u6574\u5408&#096;&#096;\u8fdb\u884c\u4ebf\u7ea7\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<p>4. **AI\u589e\u5f3a**&#xff1a;\u5d4c\u5165\u5b9e\u65f6\u9884\u6d4b\u6a21\u578b\u66f4\u65b0\u53ef\u89c6\u5316<\/p>\n<p>&gt; \u5b8c\u6574\u80a1\u7968\u5206\u6790\u793a\u4f8b\u4ee3\u7801\u5e93&#xff1a;\/&#8211;demo<\/p>\n<p>&#8212;<\/p>\n<p>**\u6280\u672f\u6807\u7b7e**&#xff1a;<\/p>\n<p>\u53ef\u4ea4\u4e92\u7684\u56fe\u8868, \u8fdb\u884c\u6570\u636e\u7684\u53ef\u89c6\u5316\u5448\u73b0, \u9488\u5bf9\u4e8b\u4ef6\u5c55\u5f00\u5904\u7406, \u5bf9\u6570\u636e\u53ef\u89c6\u5316\u4e88\u4ee5\u4f18\u5316, \u5f00\u5c55\u91d1\u878d\u65b9\u5411\u7684\u6570\u636e\u5206\u6790, \u5b9e\u73b03D\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>## \u6570\u636e\u53ef\u89c6\u5316: \u4f7f\u7528\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868### \u5f15\u8a00&#xff1a;\u4ea4\u4e92\u5f0f\u56fe\u8868\u7684\u91cd\u8981\u6027\u5728\u6570\u636e\u79d1\u5b66\u8303\u7574\u4e4b\u5185, **\u4ea4\u4e92\u5f0f\u56fe\u8868**\u5df2\u7136\u53d8\u6210\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790&#xff08;Data, EDA&#xff09;\u7684\u5173\u952e\u5de5\u5177\u3002\u76f8\u8f83\u4e8e\u9759\u6001\u56fe\u8868\u800c\u8a00, \u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u501f\u7531\u60ac\u505c\u3001\u7f29\u653e\u3001\u5e73\u79fb\u7b49\u884c\u4e3a\u4e0e\u6570\u636e\u5c55\u5f00\u6df1\u5ea6\u4ea4\u4e92\u3002\u8eab\u4e3a\u6700\u4e3a\u5e7f\u6cdb\u8fd0\u7528\u7684\u53ef\u89c6\u5316\u5e93\u5176\u4e2d\u4e4b\u4e00, \u51ed\u501f\u5176\u4e8b\u4ef6\u5904\u7406\u7cfb\u7edf\u4ee5\u53ca\u6269\u5c55\u5de5\u5177, \u80fd\u591f\u7f14\u9020\u5f3a\u5927\u7684\u4ea4\u4e92\u4f53\u9a8c\u3002\u4f9d\u636e2023\u5e74\u5f00\u53d1\u8005\u8c03\u67e5\u6240\u793a, \u4ee582%\u7684\u4f7f\u7528\u7387\u5360\u636e\u79d1\u5b66\u53ef\u89c6\u5316\u5de5\u5177\u9996\u4f4d\u3002\u6570\u636e\u5206\u6790\u5e08\u501f<\/p>\n","protected":false},"author":2,"featured_media":87779,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[9942,9943,9941,9944,2468],"topic":[],"class_list":["post-87780","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-9943","tag-9941","tag-9944","tag-matplotlib"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\u6570\u636e\u53ef\u89c6\u5316: \u4f7f\u7528Matplotlib\u7ed8\u5236\u4ea4\u4e92\u5f0f\u56fe\u8868 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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