{"id":1079638,"date":"2025-01-08T12:22:48","date_gmt":"2025-01-08T04:22:48","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1079638.html"},"modified":"2025-01-08T12:22:51","modified_gmt":"2025-01-08T04:22:51","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e9%87%8c%e7%94%bbsinx%e7%9a%84%e5%9b%be-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1079638.html","title":{"rendered":"\u5982\u4f55\u5728Python\u91cc\u753bsinx\u7684\u56fe"},"content":{"rendered":"

\"\u5982\u4f55\u5728Python\u91cc\u753bsinx\u7684\u56fe\"<\/p>\n

\u5728Python\u91cc\u753bsinx\u7684\u56fe\u7684\u6b65\u9aa4\u6709\uff1a\u5bfc\u5165\u6240\u9700\u5e93\u3001\u521b\u5efa\u6570\u636e\u3001\u7ed8\u5236\u56fe\u50cf\u3001\u6dfb\u52a0\u6807\u7b7e\u548c\u663e\u793a\u56fe\u50cf\u3002<\/strong> \u5176\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u4e00\u6b65\u662f\u6b63\u786e\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u50cf\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5bfc\u5165\u6240\u9700\u5e93<\/p>\n<\/p>\n

\u4e3a\u4e86\u5728Python\u4e2d\u7ed8\u5236sin(x)\u7684\u56fe\u50cf\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u5bfc\u5165\u51e0\u4e2a\u5fc5\u8981\u7684\u5e93\u3002Matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0cNumPy\u662f\u4e00\u4e2a\u5e38\u7528\u7684\u6570\u503c\u8ba1\u7b97\u5e93\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u6765\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e<\/p>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u7528\u4e8e\u7ed8\u5236\u56fe\u50cf\u7684\u6570\u636e\u3002\u6211\u4eec\u5c06\u4f7f\u7528NumPy\u5e93\u6765\u751f\u6210x\u548cy\u503c\u3002x\u503c\u53ef\u4ee5\u662f\u4e00\u4e2a\u4ece0\u52302\u03c0\u7684\u8303\u56f4\uff0cy\u503c\u5c06\u662f\u5bf9\u5e94\u7684sin(x)\u503c\u3002\u4ee5\u4e0b\u662f\u751f\u6210\u6570\u636e\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
x = np.linspace(0, 2 * np.pi, 1000)  # \u751f\u62100\u52302\u03c0\u4e4b\u95f4\u76841000\u4e2a\u70b9<\/p>\n
y = np.sin(x)  # \u8ba1\u7b97\u6bcf\u4e2ax\u503c\u5bf9\u5e94\u7684sin(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u56fe\u50cf<\/p>\n<\/p>\n
\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u50cf\u3002\u6211\u4eec\u5c06\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u6765\u7ed8\u5236x\u548cy\u503c\u3002\u4ee5\u4e0b\u662f\u7ed8\u5236\u56fe\u50cf\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6dfb\u52a0\u6807\u7b7e<\/p>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u50cf\u66f4\u52a0\u6e05\u6670\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u4e00\u4e9b\u6807\u7b7e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528plt.xlabel()<\/code>\u3001plt.ylabel()<\/code>\u548cplt.title()<\/code>\u51fd\u6570\u6765\u6dfb\u52a0x\u8f74\u6807\u7b7e\u3001y\u8f74\u6807\u7b7e\u548c\u56fe\u50cf\u6807\u9898\u3002\u4ee5\u4e0b\u662f\u6dfb\u52a0\u6807\u7b7e\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.title('Plot of sin(x)')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u663e\u793a\u56fe\u50cf<\/p>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528plt.show()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u663e\u793a\u56fe\u50cf\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u6210\u529f\u7ed8\u5236\u51fasin(x)\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
y = np.sin(x)<\/p>\n
\u7ed8\u5236\u56fe\u50cf<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u6dfb\u52a0\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.title('Plot of sin(x)')<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e00\u3001\u5bfc\u5165\u6240\u9700\u5e93<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u7ed8\u56fe\u5e93\uff08\u5982Matplotlib\uff09\u548c\u6570\u503c\u8ba1\u7b97\u5e93\uff08\u5982NumPy\uff09\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002Matplotlib\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u751f\u6210\u5404\u79cd\u56fe\u8868\u548c\u56fe\u50cf\u3002NumPy\u5219\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
1.1\u3001Matplotlib\u5e93\u7684\u4f7f\u7528<\/h4>\n<\/p>\n
Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u7ed8\u52362D\u56fe\u5f62\u7684Python\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7c7b\u4f3c\u4e8eMATLAB\u7684\u7ed8\u56fe\u5e93\u63a5\u53e3\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u521b\u5efa\u5404\u79cd\u56fe\u8868\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2\u3001NumPy\u5e93\u7684\u4f7f\u7528<\/h4>\n<\/p>\n
NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684Python\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684N\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u8bb8\u591a\u7528\u4e8e\u64cd\u4f5c\u6570\u7ec4\u7684\u51fd\u6570\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165NumPy\u5e93\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e<\/h3>\n<\/p>\n
\u5728\u7ed8\u5236\u56fe\u50cf\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u7528\u4e8e\u7ed8\u5236\u56fe\u50cf\u7684\u6570\u636e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u751f\u6210\u8fd9\u4e9b\u6570\u636e\u3002\u4e3a\u4e86\u7ed8\u5236sin(x)\u7684\u56fe\u50cf\uff0c\u6211\u4eec\u9700\u8981\u751f\u6210\u4e00\u7ec4x\u503c\u548c\u76f8\u5e94\u7684y\u503c\u3002<\/p>\n<\/p>\n
2.1\u3001\u751f\u6210x\u503c<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u7684linspace<\/code>\u51fd\u6570\u6765\u751f\u6210\u4e00\u7ec4\u7b49\u95f4\u9694\u7684x\u503c\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a\u4ece0\u52302\u03c0\u76841000\u4e2a\u70b9\u7684\u6570\u7ec4\uff1a<\/p>\n<\/p>\n
x = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2\u3001\u8ba1\u7b97y\u503c<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u6bcf\u4e2ax\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u7684sin<\/code>\u51fd\u6570\u6765\u8ba1\u7b97\u76f8\u5e94\u7684y\u503c\uff1a<\/p>\n<\/p>\n
y = np.sin(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u56fe\u50cf<\/h3>\n<\/p>\n
\u73b0\u5728\uff0c\u6211\u4eec\u5df2\u7ecf\u751f\u6210\u4e86\u7528\u4e8e\u7ed8\u5236\u56fe\u50cf\u7684\u6570\u636e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u50cf\u3002<\/p>\n<\/p>\n
3.1\u3001\u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u56fe\u50cf<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684plot<\/code>\u51fd\u6570\u6765\u7ed8\u5236x\u548cy\u503c\u3002\u4ee5\u4e0b\u662f\u7ed8\u5236\u56fe\u50cf\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2\u3001\u8bbe\u7f6e\u56fe\u50cf\u7684\u6837\u5f0f<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eplot<\/code>\u51fd\u6570\u7684\u53c2\u6570\u6765\u6539\u53d8\u56fe\u50cf\u7684\u6837\u5f0f\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u7ebf\u6761\u7684\u989c\u8272\u3001\u6837\u5f0f\u548c\u5bbd\u5ea6\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, color='blue', linestyle='-', linewidth=2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6dfb\u52a0\u6807\u7b7e<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u50cf\u66f4\u52a0\u6e05\u6670\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u4e00\u4e9b\u6807\u7b7e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u4e2d\u7684\u4e00\u4e9b\u51fd\u6570\u6765\u6dfb\u52a0x\u8f74\u6807\u7b7e\u3001y\u8f74\u6807\u7b7e\u548c\u56fe\u50cf\u6807\u9898\u3002<\/p>\n<\/p>\n
4.1\u3001\u6dfb\u52a0x\u8f74\u6807\u7b7e<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528xlabel<\/code>\u51fd\u6570\u6765\u6dfb\u52a0x\u8f74\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.xlabel('x')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2\u3001\u6dfb\u52a0y\u8f74\u6807\u7b7e<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528ylabel<\/code>\u51fd\u6570\u6765\u6dfb\u52a0y\u8f74\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.3\u3001\u6dfb\u52a0\u56fe\u50cf\u6807\u9898<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528title<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u56fe\u50cf\u6807\u9898\uff1a<\/p>\n<\/p>\n
plt.title('Plot of sin(x)')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u663e\u793a\u56fe\u50cf<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528show<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u6210\u529f\u7ed8\u5236\u51fasin(x)\u7684\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
y = np.sin(x)<\/p>\n
\u7ed8\u5236\u56fe\u50cf<\/strong><\/h2>\n
plt.plot(x, y, color='blue', linestyle='-', linewidth=2)<\/p>\n
\u6dfb\u52a0\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.title('Plot of sin(x)')<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4fdd\u5b58\u56fe\u50cf<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684savefig<\/code>\u51fd\u6570\u6765\u4fdd\u5b58\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3aPNG\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
plt.savefig('sinx_plot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6211\u4eec\u4e5f\u53ef\u4ee5\u5c06\u56fe\u50cf\u4fdd\u5b58\u4e3a\u5176\u4ed6\u683c\u5f0f\uff0c\u4f8b\u5982PDF\u3001SVG\u7b49\uff1a<\/p>\n<\/p>\n
plt.savefig('sinx_plot.pdf')<\/p>\n
plt.savefig('sinx_plot.svg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u8c03\u6574\u56fe\u50cf\u5927\u5c0f<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u8c03\u6574\u56fe\u50cf\u7684\u5927\u5c0f\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684figure<\/code>\u51fd\u6570\u6765\u521b\u5efa\u4e00\u4e2a\u6307\u5b9a\u5927\u5c0f\u7684\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5bbd\u5ea6\u4e3a10\u82f1\u5bf8\u3001\u9ad8\u5ea6\u4e3a6\u82f1\u5bf8\u7684\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
plt.figure(figsize=(10, 6))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u6dfb\u52a0\u7f51\u683c<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u50cf\u66f4\u52a0\u6e05\u6670\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u7f51\u683c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528grid<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u7f51\u683c\uff1a<\/p>\n<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u7ed8\u5236\u591a\u6761\u66f2\u7ebf<\/h3>\n<\/p>\n
\u5728\u540c\u4e00\u5f20\u56fe\u50cf\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed8\u5236\u591a\u6761\u66f2\u7ebf\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u540c\u65f6\u7ed8\u5236sin(x)\u548ccos(x)\u7684\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
y1 = np.sin(x)<\/p>\n
y2 = np.cos(x)<\/p>\n
\u7ed8\u5236\u56fe\u50cf<\/strong><\/h2>\n
plt.plot(x, y1, label='sin(x)', color='blue', linestyle='-', linewidth=2)<\/p>\n
plt.plot(x, y2, label='cos(x)', color='red', linestyle='--', linewidth=2)<\/p>\n
\u6dfb\u52a0\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
plt.title('Plot of sin(x) and cos(x)')<\/p>\n
\u6dfb\u52a0\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u5b50\u56fe<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5728\u540c\u4e00\u5f20\u56fe\u50cf\u4e2d\u663e\u793a\u591a\u4e2a\u5b50\u56fe\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684subplot<\/code>\u51fd\u6570\u6765\u521b\u5efa\u5b50\u56fe\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a2×1\u7684\u5b50\u56fe\uff0c\u5e76\u5728\u6bcf\u4e2a\u5b50\u56fe\u4e2d\u5206\u522b\u7ed8\u5236sin(x)\u548ccos(x)\u7684\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
y1 = np.sin(x)<\/p>\n
y2 = np.cos(x)<\/p>\n
\u521b\u5efa\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
plt.subplot(2, 1, 1)<\/p>\n
plt.plot(x, y1, label='sin(x)', color='blue', linestyle='-', linewidth=2)<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.title('Plot of sin(x)')<\/p>\n
\u521b\u5efa\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
plt.subplot(2, 1, 2)<\/p>\n
plt.plot(x, y2, label='cos(x)', color='red', linestyle='--', linewidth=2)<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('cos(x)')<\/p>\n
plt.title('Plot of cos(x)')<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u6210\u529f\u7ed8\u5236\u51fasin(x)\u7684\u56fe\u50cf\uff0c\u5e76\u4e14\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u5404\u79cd\u5b9a\u5236\u548c\u8c03\u6574\u3002Matplotlib\u548cNumPy\u662f\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u53ef\u89c6\u5316\u548c\u6570\u503c\u8ba1\u7b97\u4efb\u52a1\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236sin(x)\u56fe\u5f62\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236sin(x)\u7684\u56fe\u5f62\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1apip install matplotlib<\/code>\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528NumPy\u751f\u6210x\u503c\uff0c\u5e76\u901a\u8fc7np.sin()<\/code>\u51fd\u6570\u8ba1\u7b97\u5bf9\u5e94\u7684y\u503c\uff0c\u6700\u540e\u8c03\u7528plt.plot()<\/code>\u7ed8\u5236\u56fe\u5f62\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u81ea\u5b9a\u4e49sin(x)\u56fe\u5f62\u7684\u6837\u5f0f\uff1f<\/strong>
\u7edd\u5bf9\u53ef\u4ee5\uff01Matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u9009\u9879\u6765\u5b9a\u5236\u56fe\u5f62\u7684\u6837\u5f0f\u3002\u4f60\u53ef\u4ee5\u6539\u53d8\u7ebf\u6761\u7684\u989c\u8272\u3001\u6837\u5f0f\u548c\u5bbd\u5ea6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570color='red'<\/code>\u548clinestyle='--'<\/code>\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u989c\u8272\u4e3a\u7ea2\u8272\u5e76\u4f7f\u7528\u865a\u7ebf\u6837\u5f0f\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u6807\u9898\u3001\u5750\u6807\u8f74\u6807\u7b7e\u548c\u7f51\u683c\u7ebf\uff0c\u4ee5\u63d0\u9ad8\u53ef\u8bfb\u6027\u3002<\/p>\n
\u5982\u4f55\u5728sin(x)\u56fe\u4e2d\u6dfb\u52a0\u591a\u4e2a\u51fd\u6570\u8fdb\u884c\u6bd4\u8f83\uff1f<\/strong>
\u5728\u540c\u4e00\u5f20\u56fe\u4e2d\u7ed8\u5236\u591a\u4e2a\u51fd\u6570\u975e\u5e38\u7b80\u5355\u3002\u53ea\u9700\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u5bf9\u8c61\u4e0a\u591a\u6b21\u8c03\u7528plt.plot()<\/code>\uff0c\u5e76\u4e3a\u6bcf\u4e2a\u51fd\u6570\u6307\u5b9a\u4e0d\u540c\u7684y\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u540c\u65f6\u7ed8\u5236sin(x)\u548ccos(x)\u7684\u56fe\u5f62\uff0c\u901a\u8fc7\u4e0d\u540c\u7684\u989c\u8272\u548c\u6807\u7b7e\u6765\u533a\u5206\u5b83\u4eec\u3002\u4f7f\u7528plt.legend()<\/code>\u53ef\u4ee5\u6dfb\u52a0\u56fe\u4f8b\uff0c\u5e2e\u52a9\u89c2\u4f17\u7406\u89e3\u6bcf\u6761\u66f2\u7ebf\u4ee3\u8868\u7684\u51fd\u6570\u3002<\/p>\n
\u7ed8\u5236sin(x)\u56fe\u5f62\u65f6\u5982\u4f55\u8c03\u6574\u5750\u6807\u8f74\u8303\u56f4\uff1f<\/strong>
\u5728\u7ed8\u5236sin(x)\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u6765\u8c03\u6574\u5750\u6807\u8f74\u7684\u8303\u56f4\u3002\u4f8b\u5982\uff0cplt.xlim(-10, 10)<\/code>\u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a-10\u523010\uff0cplt.ylim(-1.5, 1.5)<\/code>\u5c06y\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a-1.5\u52301.5\u3002\u8fd9\u4e9b\u8bbe\u7f6e\u53ef\u4ee5\u5e2e\u52a9\u7a81\u51fa\u663e\u793a\u56fe\u5f62\u7684\u7279\u5b9a\u533a\u57df\uff0c\u4f7f\u5f97\u6570\u636e\u66f4\u52a0\u6e05\u6670\u53ef\u8bfb\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u91cc\u753bsinx\u7684\u56fe\u7684\u6b65\u9aa4\u6709\uff1a\u5bfc\u5165\u6240\u9700\u5e93\u3001\u521b\u5efa\u6570\u636e\u3001\u7ed8\u5236\u56fe\u50cf\u3001\u6dfb\u52a0\u6807\u7b7e\u548c\u663e\u793a\u56fe\u50cf\u3002 \u5176\u4e2d\uff0c\u6700\u91cd\u8981\u7684\u4e00 […]","protected":false},"author":3,"featured_media":1079648,"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\/1079638"}],"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=1079638"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1079638\/revisions"}],"predecessor-version":[{"id":1079651,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1079638\/revisions\/1079651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1079648"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1079638"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1079638"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1079638"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}