{"id":1077341,"date":"2025-01-08T12:01:31","date_gmt":"2025-01-08T04:01:31","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1077341.html"},"modified":"2025-01-08T12:01:33","modified_gmt":"2025-01-08T04:01:33","slug":"%e5%a6%82%e4%bd%95%e7%bc%96%e7%a8%8b%e5%87%ba%e4%b8%80%e4%b8%aa%e7%88%b1%e5%bf%83python-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1077341.html","title":{"rendered":"\u5982\u4f55\u7f16\u7a0b\u51fa\u4e00\u4e2a\u7231\u5fc3python"},"content":{"rendered":"

\"\u5982\u4f55\u7f16\u7a0b\u51fa\u4e00\u4e2a\u7231\u5fc3python\"<\/p>\n

\u5982\u4f55\u7f16\u7a0b\u51fa\u4e00\u4e2a\u7231\u5fc3python<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u7f16\u7a0b\u53ef\u4ee5\u901a\u8fc7\u7ed8\u56fe\u5e93\u5982Matplotlib\u3001Turtle\u7b49\u7ed8\u5236\u51fa\u4e00\u4e2a\u7231\u5fc3\u5f62\u72b6\u3001\u5229\u7528\u6570\u5b66\u65b9\u7a0b\u751f\u6210\u7231\u5fc3\u5f62\u72b6\u3001\u7ed3\u5408GUI\u5e93\u5982Tkinter\u5236\u4f5c\u4ea4\u4e92\u5f0f\u7231\u5fc3\u56fe\u6848\u3002<\/strong> \u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528Matplotlib\u548c\u6570\u5b66\u65b9\u7a0b\u751f\u6210\u7231\u5fc3\u5f62\u72b6\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Matplotlib\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/h3>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\uff0c\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u52a8\u6001\u548c\u4ea4\u4e92\u5f0f\u7684\u56fe\u8868\u3002\u6211\u4eec\u53ef\u4ee5\u5229\u7528Matplotlib\u7ed3\u5408\u6570\u5b66\u65b9\u7a0b\u6765\u7ed8\u5236\u4e00\u4e2a\u7231\u5fc3\u5f62\u72b6\u3002<\/p>\n<\/p>\n

1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5bfc\u5165Matplotlib\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5b9a\u4e49\u7231\u5fc3\u5f62\u72b6\u7684\u6570\u5b66\u65b9\u7a0b<\/h4>\n<\/p>\n
\u7231\u5fc3\u5f62\u72b6\u53ef\u4ee5\u901a\u8fc7\u6570\u5b66\u65b9\u7a0b\u6765\u8868\u793a\uff0c\u8fd9\u91cc\u6211\u4eec\u4f7f\u7528\u6781\u5750\u6807\u65b9\u7a0b\uff1a<\/p>\n<\/p>\n
[ r = 1 – \\sin(\\theta) ]<\/p>\n<\/p>\n
\u5229\u7528\u8fd9\u4e2a\u65b9\u7a0b\uff0c\u6211\u4eec\u53ef\u4ee5\u7ed8\u5236\u51fa\u4e00\u4e2a\u6f02\u4eae\u7684\u7231\u5fc3\u5f62\u72b6\u3002<\/p>\n<\/p>\n
3\u3001\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/h4>\n<\/p>\n
\u4f7f\u7528Matplotlib\u548cNumpy\uff0c\u6211\u4eec\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u7ed8\u5236\u51fa\u7231\u5fc3\u5f62\u72b6\uff1a<\/p>\n<\/p>\n
# \u5bfc\u5165\u6240\u9700\u5e93<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u5b9a\u4e49\u89d2\u5ea6\u8303\u56f4<\/strong><\/h2>\n
theta = np.linspace(0, 2 * np.pi, 1000)<\/p>\n
\u5b9a\u4e49\u7231\u5fc3\u5f62\u72b6\u7684\u6781\u5750\u6807\u65b9\u7a0b<\/strong><\/h2>\n
r = 1 - np.sin(theta)<\/p>\n
\u5c06\u6781\u5750\u6807\u8f6c\u6362\u4e3a\u7b1b\u5361\u5c14\u5750\u6807<\/strong><\/h2>\n
x = r * np.cos(theta)<\/p>\n
y = r * np.sin(theta)<\/p>\n
\u521b\u5efa\u7ed8\u56fe<\/strong><\/h2>\n
plt.figure(figsize=(8, 6))<\/p>\n
plt.plot(x, y, color='red')<\/p>\n
plt.fill(x, y, color='red')<\/p>\n
\u8bbe\u7f6e\u56fe\u8868\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Love Shape')<\/p>\n
plt.xlabel('X')<\/p>\n
plt.ylabel('Y')<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Turtle\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/h3>\n<\/p>\n
Turtle\u662fPython\u4e2d\u4e00\u4e2a\u7b80\u5355\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u975e\u5e38\u9002\u5408\u7528\u6765\u7ed8\u5236\u7b80\u5355\u7684\u56fe\u5f62\u548c\u52a8\u753b\u3002\u6211\u4eec\u4e5f\u53ef\u4ee5\u4f7f\u7528Turtle\u5e93\u6765\u7ed8\u5236\u4e00\u4e2a\u7231\u5fc3\u5f62\u72b6\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Turtle<\/h4>\n<\/p>\n
Turtle\u5e93\u662fPython\u5185\u7f6e\u7684\u5e93\uff0c\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u3002\u53ea\u9700\u5bfc\u5165\u5373\u53ef\uff1a<\/p>\n<\/p>\n
import turtle<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/h4>\n<\/p>\n
\u4f7f\u7528Turtle\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e00\u7cfb\u5217\u7684\u547d\u4ee4\u7ed8\u5236\u51fa\u4e00\u4e2a\u7231\u5fc3\u5f62\u72b6\uff1a<\/p>\n<\/p>\n
import turtle<\/p>\n
\u521b\u5efa\u753b\u5e03\u548c\u753b\u7b14<\/strong><\/h2>\n
screen = turtle.Screen()<\/p>\n
screen.bgcolor("white")<\/p>\n
pen = turtle.Turtle()<\/p>\n
pen.color("red")<\/p>\n
pen.speed(2)<\/p>\n
\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/strong><\/h2>\n
pen.begin_fill()<\/p>\n
pen.left(50)<\/p>\n
pen.forward(133)<\/p>\n
pen.circle(50, 200)<\/p>\n
pen.right(140)<\/p>\n
pen.circle(50, 200)<\/p>\n
pen.forward(133)<\/p>\n
pen.end_fill()<\/p>\n
\u9690\u85cf\u753b\u7b14\u5e76\u663e\u793a\u7ed8\u56fe<\/strong><\/h2>\n
pen.hideturtle()<\/p>\n
turtle.done()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Tkinter\u5236\u4f5c\u4ea4\u4e92\u5f0f\u7231\u5fc3\u56fe\u6848<\/h3>\n<\/p>\n
Tkinter\u662fPython\u7684\u6807\u51c6GUI\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u56fe\u5f62\u7528\u6237\u754c\u9762\u3002\u6211\u4eec\u53ef\u4ee5\u7ed3\u5408Tkinter\u548cCanvas\u6765\u5236\u4f5c\u4e00\u4e2a\u7b80\u5355\u7684\u4ea4\u4e92\u5f0f\u7231\u5fc3\u56fe\u6848\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Tkinter<\/h4>\n<\/p>\n
Tkinter\u662fPython\u5185\u7f6e\u7684GUI\u5e93\uff0c\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u3002\u53ea\u9700\u5bfc\u5165\u5373\u53ef\uff1a<\/p>\n<\/p>\n
import tkinter as tk<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efaTkinter\u7a97\u53e3\u548cCanvas<\/h4>\n<\/p>\n
\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aTkinter\u7a97\u53e3\uff0c\u5e76\u5728\u7a97\u53e3\u4e2d\u6dfb\u52a0\u4e00\u4e2aCanvas\uff0c\u7528\u4e8e\u7ed8\u5236\u7231\u5fc3\u56fe\u6848\uff1a<\/p>\n<\/p>\n
import tkinter as tk<\/p>\n
\u521b\u5efaTkinter\u7a97\u53e3<\/strong><\/h2>\n
root = tk.Tk()<\/p>\n
root.title("Love Shape")<\/p>\n
\u521b\u5efaCanvas<\/strong><\/h2>\n
canvas = tk.Canvas(root, width=400, height=400, bg='white')<\/p>\n
canvas.pack()<\/p>\n
\u5b9a\u4e49\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6\u7684\u51fd\u6570<\/strong><\/h2>\n
def draw_heart(canvas):<\/p>\n
    canvas.create_polygon(200, 350, 300, 200, 200, 100, 100, 200, fill='red')<\/p>\n
\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/strong><\/h2>\n
draw_heart(canvas)<\/p>\n
\u8fd0\u884cTkinter\u4e3b\u5faa\u73af<\/strong><\/h2>\n
root.mAI<\/a>nloop()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u7ed3\u5408\u6570\u5b66\u65b9\u7a0b\u751f\u6210\u7231\u5fc3\u5f62\u72b6<\/h3>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528\u7ed8\u56fe\u5e93\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u901a\u8fc7\u7f16\u5199\u6570\u5b66\u65b9\u7a0b\u751f\u6210\u7231\u5fc3\u5f62\u72b6\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u66f4\u7075\u6d3b\u5730\u63a7\u5236\u7231\u5fc3\u7684\u5927\u5c0f\u548c\u5f62\u72b6\u3002<\/p>\n<\/p>\n
1\u3001\u5b9a\u4e49\u7231\u5fc3\u5f62\u72b6\u7684\u7b1b\u5361\u5c14\u65b9\u7a0b<\/h4>\n<\/p>\n
\u7231\u5fc3\u5f62\u72b6\u7684\u7b1b\u5361\u5c14\u65b9\u7a0b\u4e3a\uff1a<\/p>\n<\/p>\n
[ (x^2 + y^2 – 1)^3 = x^2 y^3 ]<\/p>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u8fd9\u4e2a\u65b9\u7a0b\u751f\u6210\u7231\u5fc3\u5f62\u72b6\u7684\u70b9\uff0c\u5e76\u8fdb\u884c\u7ed8\u5236\u3002<\/p>\n<\/p>\n
2\u3001\u751f\u6210\u7231\u5fc3\u5f62\u72b6\u7684\u70b9<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u5b9a\u4e49x\u548cy\u7684\u8303\u56f4<\/strong><\/h2>\n
x = np.linspace(-1.5, 1.5, 400)<\/p>\n
y = np.linspace(-1.5, 1.5, 400)<\/p>\n
x, y = np.meshgrid(x, y)<\/p>\n
\u5b9a\u4e49\u7231\u5fc3\u5f62\u72b6\u7684\u7b1b\u5361\u5c14\u65b9\u7a0b<\/strong><\/h2>\n
f = (x<strong>2 + y<\/strong>2 - 1)<strong>3 - x<\/strong>2 * y3<\/p>\n
\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6<\/strong><\/h2>\n
plt.contour(x, y, f, levels=[0], colors='red')<\/p>\n
plt.title('Love Shape')<\/p>\n
plt.xlabel('X')<\/p>\n
plt.ylabel('Y')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0c\u901a\u8fc7\u4f7f\u7528Matplotlib\u3001Turtle\u548cTkinter\u7b49\u5e93\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5728Python\u4e2d\u7ed8\u5236\u51fa\u4e00\u4e2a\u7231\u5fc3\u5f62\u72b6\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u548c\u9002\u7528\u573a\u666f\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u8fdb\u884c\u5b9e\u73b0\u3002\u5e0c\u671b\u672c\u6587\u7684\u4ecb\u7ecd\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1Python\u7ed8\u56fe\u7684\u6280\u5de7\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u7528Python\u7f16\u7a0b\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6\uff1f<\/strong>
\u8981\u7528Python\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6\uff0c\u53ef\u4ee5\u5229\u7528\u56fe\u5f62\u5e93\u5982matplotlib<\/code>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\uff1a<\/p>\n
import numpy as np\nimport matplotlib.pyplot as plt\n\n# \u521b\u5efa\u7231\u5fc3\u5f62\u72b6\u7684\u53c2\u6570\nt = np.linspace(0, 2 * np.pi, 1000)\nx = 16 * np.sin(t)**3\ny = 13 * np.cos(t) - 5 * np.cos(2*t) - 2 * np.cos(3*t) - np.cos(4*t)\n\n# \u7ed8\u5236\u7231\u5fc3\u5f62\u72b6\nplt.plot(x, y, color='red')\nplt.fill(x, y, color='red')\nplt.title('Love Heart Shape')\nplt.axis('equal')\nplt.show()\n<\/code><\/pre>\n
\u4e0a\u8ff0\u4ee3\u7801\u751f\u6210\u4e86\u4e00\u4e2a\u7f8e\u4e3d\u7684\u7231\u5fc3\u5f62\u72b6\uff0c\u9002\u5408\u521d\u5b66\u8005\u8fdb\u884c\u56fe\u5f62\u7f16\u7a0b\u7684\u7ec3\u4e60\u3002<\/p>\n
\u4f7f\u7528Python\u7ed8\u5236\u7231\u5fc3\u9700\u8981\u54ea\u4e9b\u5e93\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u7ed8\u5236\u7231\u5fc3\u5f62\u72b6\u901a\u5e38\u9700\u8981\u4f7f\u7528numpy<\/code>\u548cmatplotlib<\/code>\u8fd9\u4e24\u4e2a\u5e93\u3002numpy<\/code>\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u6570\u5b66\u8ba1\u7b97\uff0c\u800cmatplotlib<\/code>\u5219\u7528\u4e8e\u521b\u5efa\u56fe\u5f62\u548c\u53ef\u89c6\u5316\u6570\u636e\u3002\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u8bf7\u786e\u4fdd\u901a\u8fc7pip install numpy matplotlib<\/code>\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\u3002<\/p>\n
\u53ef\u4ee5\u5c06\u7231\u5fc3\u56fe\u5f62\u5e94\u7528\u4e8e\u54ea\u4e9b\u9879\u76ee\u4e2d\uff1f<\/strong>
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