{"id":1183967,"date":"2025-01-15T19:20:47","date_gmt":"2025-01-15T11:20:47","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1183967.html"},"modified":"2025-01-15T19:20:50","modified_gmt":"2025-01-15T11:20:50","slug":"%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python%e7%94%bb%e5%87%bd%e6%95%b0%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1183967.html","title":{"rendered":"\u5982\u4f55\u4f7f\u7528python\u753b\u51fd\u6570\u56fe"},"content":{"rendered":"

\"\u5982\u4f55\u4f7f\u7528python\u753b\u51fd\u6570\u56fe\"<\/p>\n

\u4f7f\u7528Python\u753b\u51fd\u6570\u56fe\u7684\u6b65\u9aa4\u5305\u62ec\uff1a\u9009\u62e9\u5408\u9002\u7684\u7ed8\u56fe\u5e93\u3001\u5b9a\u4e49\u8981\u7ed8\u5236\u7684\u51fd\u6570\u3001\u521b\u5efa\u6570\u636e\u70b9\u3001\u8c03\u7528\u7ed8\u56fe\u5e93\u7ed8\u5236\u56fe\u5f62\u3001\u6dfb\u52a0\u56fe\u5f62\u5143\u7d20\uff08\u5982\u6807\u9898\u3001\u6807\u7b7e\u7b49\uff09\u3001\u4fdd\u5b58\u6216\u5c55\u793a\u56fe\u5f62\u3002<\/strong> \u5176\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u7ed8\u56fe\u5e93<\/strong>\u662f\u5173\u952e\u6b65\u9aa4\u4e4b\u4e00\u3002Python\u4e2d\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u6709Matplotlib\u3001Seaborn\u3001Plotly\u7b49\u3002\u8fd9\u91cc\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528Matplotlib\u6765\u7ed8\u5236\u51fd\u6570\u56fe\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u9009\u62e9\u5408\u9002\u7684\u7ed8\u56fe\u5e93<\/h3>\n<\/p>\n

Python\u4e2d\u6709\u591a\u79cd\u7ed8\u56fe\u5e93\u53ef\u4f9b\u9009\u62e9\uff0c\u4f46Matplotlib\u662f\u6700\u57fa\u7840\u3001\u6700\u5e7f\u6cdb\u4f7f\u7528\u7684\u5e93\u4e4b\u4e00\u3002Matplotlib\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u7ed8\u56fe\u9700\u6c42\u3002\u5176\u4ed6\u5e93\u5982Seaborn\u548cPlotly\u5728Matplotlib\u7684\u57fa\u7840\u4e0a\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\u548c\u66f4\u7f8e\u89c2\u7684\u56fe\u5f62\u6837\u5f0f\uff0c\u4f46\u5bf9\u4e8e\u521d\u5b66\u8005\u6216\u57fa\u7840\u9700\u6c42\uff0cMatplotlib\u662f\u9996\u9009\u3002<\/p>\n<\/p>\n

1\u3001Matplotlib<\/h4>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u4e8c\u7ef4\u7ed8\u56fe\u5e93\u3002\u5b83\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u56fe\u8868\uff0c\u4f8b\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002\u5b83\u7684\u57fa\u7840\u7ec4\u4ef6\u662fpyplot\u6a21\u5757\uff0c\u63d0\u4f9b\u4e86\u7c7b\u4f3cMATLAB\u7684\u7ed8\u56feAPI\u3002<\/p>\n<\/p>\n

2\u3001Seaborn<\/h4>\n<\/p>\n

Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002\u5b83\u63d0\u4f9b\u4e86\u66f4\u7b80\u6d01\u3001\u66f4\u7f8e\u89c2\u7684\u56fe\u5f62\u6837\u5f0f\uff0c\u540c\u65f6\u652f\u6301\u590d\u6742\u7684\u6570\u636e\u53ef\u89c6\u5316\u4efb\u52a1\u3002Seaborn\u5bf9\u4e8e\u7edf\u8ba1\u56fe\u5f62\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n

3\u3001Plotly<\/h4>\n<\/p>\n

Plotly\u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u5e93\uff0c\u652f\u6301\u5728\u7ebf\u548c\u79bb\u7ebf\u6a21\u5f0f\u3002\u5b83\u53ef\u4ee5\u751f\u6210\u9ad8\u5ea6\u4ea4\u4e92\u7684\u56fe\u5f62\uff0c\u9002\u5408\u4e8eWeb\u5e94\u7528\u548c\u6570\u636e\u5206\u6790\u5c55\u793a\u3002Plotly\u7684\u56fe\u5f62\u7f8e\u89c2\u4e14\u6613\u4e8e\u5206\u4eab\u548c\u5d4c\u5165\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5b9a\u4e49\u8981\u7ed8\u5236\u7684\u51fd\u6570<\/h3>\n<\/p>\n

\u5728\u7ed8\u5236\u51fd\u6570\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u5b9a\u4e49\u8981\u7ed8\u5236\u7684\u6570\u5b66\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u8981\u7ed8\u5236y = sin(x)\u51fd\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684math\u5e93\u6216NumPy\u5e93\u8fdb\u884c\u5b9a\u4e49\u3002NumPy\u5e93\u5728\u5904\u7406\u6570\u7ec4\u548c\u6570\u503c\u8ba1\u7b97\u65b9\u9762\u975e\u5e38\u9ad8\u6548\uff0c\u63a8\u8350\u4f7f\u7528NumPy\u6765\u751f\u6210\u6570\u636e\u70b9\u3002<\/p>\n<\/p>\n

import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
def func(x):<\/p>\n
    return np.sin(x)<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 100)  # \u57280\u52302\u03c0\u4e4b\u95f4\u751f\u6210100\u4e2a\u70b9<\/p>\n
y = func(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u521b\u5efa\u6570\u636e\u70b9<\/h3>\n<\/p>\n
\u4f7f\u7528NumPy\u7684linspace\u51fd\u6570\u53ef\u4ee5\u65b9\u4fbf\u5730\u751f\u6210\u7b49\u95f4\u8ddd\u7684\u6570\u636e\u70b9\u3002\u8fd9\u4e9b\u6570\u636e\u70b9\u5c06\u4f5c\u4e3a\u51fd\u6570\u7684\u8f93\u5165\u3002linspace\u51fd\u6570\u7684\u53c2\u6570\u5305\u62ec\u8d77\u59cb\u503c\u3001\u7ed3\u675f\u503c\u548c\u751f\u6210\u70b9\u7684\u6570\u91cf\u3002<\/p>\n<\/p>\n
x = np.linspace(0, 2 * np.pi, 100)  # \u57280\u52302\u03c0\u4e4b\u95f4\u751f\u6210100\u4e2a\u70b9<\/p>\n
y = func(x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8c03\u7528\u7ed8\u56fe\u5e93\u7ed8\u5236\u56fe\u5f62<\/h3>\n<\/p>\n
\u4f7f\u7528Matplotlib\u7684pyplot\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u5730\u7ed8\u5236\u51fd\u6570\u56fe\u3002\u5e38\u7528\u7684\u51fd\u6570\u5305\u62ecplot\u3001scatter\u3001bar\u7b49\u3002plot\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u6298\u7ebf\u56fe\uff0cscatter\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u6563\u70b9\u56fe\uff0cbar\u51fd\u6570\u7528\u4e8e\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.title('Sine Function')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u6dfb\u52a0\u56fe\u5f62\u5143\u7d20\uff08\u5982\u6807\u9898\u3001\u6807\u7b7e\u7b49\uff09<\/h3>\n<\/p>\n
\u4e3a\u4e86\u8ba9\u56fe\u5f62\u66f4\u5177\u53ef\u8bfb\u6027\uff0c\u53ef\u4ee5\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u3001\u7f51\u683c\u7ebf\u7b49\u5143\u7d20\u3002Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u51fd\u6570\u6765\u8bbe\u7f6e\u8fd9\u4e9b\u56fe\u5f62\u5143\u7d20\u3002<\/p>\n<\/p>\n
plt.title('Sine Function')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4fdd\u5b58\u6216\u5c55\u793a\u56fe\u5f62<\/h3>\n<\/p>\n
\u7ed8\u5236\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528show\u51fd\u6570\u5c55\u793a\u56fe\u5f62\uff0c\u6216\u8005\u4f7f\u7528savefig\u51fd\u6570\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u56fe\u7247\u6587\u4ef6\u3002<\/p>\n<\/p>\n
plt.show()  # \u5c55\u793a\u56fe\u5f62<\/p>\n
plt.savefig('sine_function.png')  # \u4fdd\u5b58\u56fe\u5f62<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u7efc\u5408\u793a\u4f8b<\/h3>\n<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Matplotlib\u7ed8\u5236y = sin(x)\u51fd\u6570\u56fe\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
def func(x):<\/p>\n
    return np.sin(x)<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 100)  # \u57280\u52302\u03c0\u4e4b\u95f4\u751f\u6210100\u4e2a\u70b9<\/p>\n
y = func(x)<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
plt.title('Sine Function')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u8fdb\u9636\u7ed8\u56fe\u6280\u5de7<\/h3>\n<\/p>\n
1\u3001\u591a\u51fd\u6570\u7ed8\u56fe<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\u9700\u8981\u5728\u540c\u4e00\u5f20\u56fe\u4e0a\u7ed8\u5236\u591a\u6761\u51fd\u6570\u66f2\u7ebf\u3002\u53ef\u4ee5\u8c03\u7528\u591a\u6b21plot\u51fd\u6570\uff0c\u5206\u522b\u7ed8\u5236\u4e0d\u540c\u7684\u51fd\u6570\u66f2\u7ebf\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
def func1(x):<\/p>\n
    return np.sin(x)<\/p>\n
def func2(x):<\/p>\n
    return np.cos(x)<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 100)<\/p>\n
y1 = func1(x)<\/p>\n
y2 = func2(x)<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y1, label='sin(x)')<\/p>\n
plt.plot(x, y2, label='cos(x)')<\/p>\n
plt.title('Sine and Cosine Functions')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
plt.legend()<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5b50\u56fe\u7ed8\u5236<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\u9700\u8981\u5728\u540c\u4e00\u7a97\u53e3\u4e2d\u5c55\u793a\u591a\u4e2a\u5b50\u56fe\u3002\u53ef\u4ee5\u4f7f\u7528subplot\u51fd\u6570\u521b\u5efa\u5b50\u56fe\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
def func1(x):<\/p>\n
    return np.sin(x)<\/p>\n
def func2(x):<\/p>\n
    return np.cos(x)<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 100)<\/p>\n
y1 = func1(x)<\/p>\n
y2 = func2(x)<\/p>\n
\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n
plt.subplot(2, 1, 1)  # \u521b\u5efa2\u884c1\u5217\u7684\u5b50\u56fe\uff0c\u5f53\u524d\u5b50\u56fe\u4e3a\u7b2c1\u4e2a<\/p>\n
plt.plot(x, y1)<\/p>\n
plt.title('Sine Function')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('sin(x)')<\/p>\n
plt.subplot(2, 1, 2)  # \u5f53\u524d\u5b50\u56fe\u4e3a\u7b2c2\u4e2a<\/p>\n
plt.plot(x, y2)<\/p>\n
plt.title('Cosine Function')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('cos(x)')<\/p>\n
plt.tight_layout()  # \u81ea\u52a8\u8c03\u6574\u5b50\u56fe\u5e03\u5c40<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u81ea\u5b9a\u4e49\u6837\u5f0f<\/h4>\n<\/p>\n
Matplotlib\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u56fe\u5f62\u6837\u5f0f\uff0c\u5305\u62ec\u7ebf\u6761\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u6837\u5f0f\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u53c2\u6570\u6765\u8bbe\u7f6e\u8fd9\u4e9b\u5c5e\u6027\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
def func1(x):<\/p>\n
    return np.sin(x)<\/p>\n
def func2(x):<\/p>\n
    return np.cos(x)<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(0, 2 * np.pi, 100)<\/p>\n
y1 = func1(x)<\/p>\n
y2 = func2(x)<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.plot(x, y1, color='red', linestyle='--', marker='o', label='sin(x)')<\/p>\n
plt.plot(x, y2, color='blue', linestyle='-', marker='x', label='cos(x)')<\/p>\n
plt.title('Sine and Cosine Functions')<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('y')<\/p>\n
plt.legend()<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u4e09\u7ef4\u51fd\u6570\u56fe<\/h3>\n<\/p>\n
Matplotlib\u8fd8\u652f\u6301\u7ed8\u5236\u4e09\u7ef4\u51fd\u6570\u56fe\u3002\u53ef\u4ee5\u4f7f\u7528mpl_toolkits.mplot3d\u6a21\u5757\u6765\u521b\u5efa\u4e09\u7ef4\u8f74\uff0c\u5e76\u7ed8\u5236\u4e09\u7ef4\u56fe\u5f62\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
from mpl_toolkits.mplot3d import Axes3D<\/p>\n
\u5b9a\u4e49\u4e09\u7ef4\u51fd\u6570<\/strong><\/h2>\n
def func(x, y):<\/p>\n
    return np.sin(np.sqrt(x<strong>2 + y<\/strong>2))<\/p>\n
\u751f\u6210\u6570\u636e\u70b9<\/strong><\/h2>\n
x = np.linspace(-5, 5, 100)<\/p>\n
y = np.linspace(-5, 5, 100)<\/p>\n
X, Y = np.meshgrid(x, y)<\/p>\n
Z = func(X, Y)<\/p>\n
\u521b\u5efa\u4e09\u7ef4\u56fe\u5f62<\/strong><\/h2>\n
fig = plt.figure()<\/p>\n
ax = fig.add_subplot(111, projection='3d')<\/p>\n
ax.plot_surface(X, Y, Z, cmap='viridis')<\/p>\n
ax.set_title('3D Sine Function')<\/p>\n
ax.set_xlabel('X')<\/p>\n
ax.set_ylabel('Y')<\/p>\n
ax.set_zlabel('Z')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
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