{"id":1107415,"date":"2025-01-08T16:49:23","date_gmt":"2025-01-08T08:49:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1107415.html"},"modified":"2025-01-08T16:49:25","modified_gmt":"2025-01-08T08:49:25","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e7%94%bb%e6%97%a0%e6%95%b0%e4%b8%aa%e5%90%8c%e5%bf%83%e5%9c%86","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1107415.html","title":{"rendered":"\u5982\u4f55\u7528python\u753b\u65e0\u6570\u4e2a\u540c\u5fc3\u5706"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u753b\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\"<\/p>\n

\u4f7f\u7528Python\u7ed8\u5236\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\u7684\u65b9\u6cd5\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u76f8\u5173\u5e93\u3001\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570\u3001\u7ed8\u5236\u5706\u5f62\u3001\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e2a\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5bfc\u5165\u76f8\u5173\u5e93<\/h3>\n<\/p>\n

\u4f7f\u7528Python\u7ed8\u5236\u56fe\u5f62\uff0c\u5e38\u7528\u7684\u5e93\u662fMatplotlib\u548cNumpy\u3002Matplotlib\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u7ed8\u5236\u5404\u79cd\u56fe\u5f62\uff1bNumpy\u5219\u7528\u4e8e\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/h3>\n<\/p>\n
\u4e3a\u4e86\u7ed8\u5236\u540c\u5fc3\u5706\uff0c\u9700\u8981\u8bbe\u7f6e\u4e00\u4e9b\u57fa\u672c\u7684\u7ed8\u56fe\u53c2\u6570\uff0c\u5305\u62ec\u56fe\u5f62\u7684\u5927\u5c0f\u3001\u5750\u6807\u8f74\u7684\u8303\u56f4\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7Matplotlib\u7684\u76f8\u5173\u51fd\u6570\u8fdb\u884c\u8bbe\u7f6e\u3002<\/p>\n<\/p>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')  # \u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u6bd4\u4f8b\uff0c\u4f7f\u5706\u5f62\u4e0d\u53d8\u5f62<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u5706\u5f62<\/h3>\n<\/p>\n
\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528plt.Circle<\/code>\u51fd\u6570\u7ed8\u5236\u5706\u5f62\u3002\u901a\u8fc7\u5faa\u73af\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7ed8\u5236\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
num_circles = 100  # \u8bbe\u7f6e\u8981\u7ed8\u5236\u7684\u540c\u5fc3\u5706\u7684\u6570\u91cf<\/p>\n
radius_increment = 0.1  # \u8bbe\u7f6e\u6bcf\u4e2a\u5706\u7684\u534a\u5f84\u589e\u91cf<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7\u4e00\u4e2afor\u5faa\u73af\uff0c\u9010\u6b65\u589e\u52a0\u5706\u7684\u534a\u5f84\uff0c\u5e76\u5c06\u5176\u6dfb\u52a0\u5230\u7ed8\u56fe\u533a\u57df\u4e2d\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u9700\u8981\u5c06\u7ed8\u5236\u597d\u7684\u56fe\u50cf\u4fdd\u5b58\u6216\u663e\u793a\u51fa\u6765\u3002\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684savefig<\/code>\u548cshow<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n
plt.savefig("concentric_circles.png")  # \u4fdd\u5b58\u56fe\u50cf<\/p>\n
plt.show()  # \u663e\u793a\u56fe\u50cf<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff0c\u7528\u4e8e\u7ed8\u5236\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\uff0c\u5e76\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 100<\/p>\n
radius_increment = 0.1<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig("concentric_circles.png")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0\u5176\u4e2d\u4e00\u70b9\uff1a\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/h3>\n<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570\u662f\u7ed8\u5236\u540c\u5fc3\u5706\u7684\u91cd\u8981\u6b65\u9aa4\u4e4b\u4e00\u3002\u901a\u8fc7\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u6bd4\u4f8b\u548c\u8303\u56f4\uff0c\u53ef\u4ee5\u786e\u4fdd\u7ed8\u5236\u7684\u5706\u5f62\u4e0d\u4f1a\u53d8\u5f62\uff0c\u5e76\u4e14\u6240\u6709\u7684\u5706\u5f62\u90fd\u80fd\u663e\u793a\u5728\u56fe\u50cf\u4e2d\u3002\u5177\u4f53\u6765\u8bf4\uff0cax.set_aspect('equal')<\/code>\u7528\u4e8e\u5c06\u5750\u6807\u8f74\u7684\u6bd4\u4f8b\u8bbe\u7f6e\u4e3a\u76f8\u7b49\uff0c\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u7ed8\u5236\u7684\u5706\u5f62\u4e0d\u4f1a\u62c9\u4f38\u6216\u538b\u7f29\u3002\u800c\u901a\u8fc7ax.set_xlim<\/code>\u548cax.set_ylim<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5206\u522b\u8bbe\u7f6e\u6a2a\u8f74\u548c\u7eb5\u8f74\u7684\u8303\u56f4\uff0c\u786e\u4fdd\u6240\u6709\u7684\u540c\u5fc3\u5706\u90fd\u80fd\u591f\u663e\u793a\u5728\u56fe\u50cf\u4e2d\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u5e26\u6709\u989c\u8272\u6e10\u53d8\u7684\u540c\u5fc3\u5706<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u540c\u5fc3\u5706\u66f4\u52a0\u7f8e\u89c2\uff0c\u53ef\u4ee5\u5728\u7ed8\u5236\u8fc7\u7a0b\u4e2d\u6dfb\u52a0\u989c\u8272\u6e10\u53d8\u6548\u679c\u3002\u901a\u8fc7\u6539\u53d8\u6bcf\u4e2a\u5706\u7684\u989c\u8272\uff0c\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u4e00\u6548\u679c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u5e26\u6709\u989c\u8272\u6e10\u53d8\u7684\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 100<\/p>\n
radius_increment = 0.1<\/p>\n
colors = plt.cm.viridis(np.linspace(0, 1, num_circles))  # \u4f7f\u7528Viridis\u989c\u8272\u6620\u5c04<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor=colors[i])<\/p>\n
    ax.add_artist(circle)<\/p>\n
\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig("gradient_concentric_circles.png")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7plt.cm.viridis<\/code>\u51fd\u6570\u751f\u6210\u989c\u8272\u6620\u5c04\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u5230\u6bcf\u4e2a\u5706\u5f62\u4e2d\uff0c\u5b9e\u73b0\u989c\u8272\u6e10\u53d8\u6548\u679c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4ea4\u4e92\u5f0f\u7ed8\u5236\u540c\u5fc3\u5706<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u5e94\u7528\u573a\u666f\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u7ed8\u5236\u540c\u5fc3\u5706\u3002\u53ef\u4ee5\u901a\u8fc7Matplotlib\u7684\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u6a21\u5f0f\u548c\u6ed1\u5757\u63a7\u4ef6\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
from matplotlib.widgets import Slider<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
plt.subplots_adjust(left=0.25, bottom=0.25)<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u521d\u59cb\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 50<\/p>\n
radius_increment = 0.2<\/p>\n
circles = []<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
    circles.append(circle)<\/p>\n
\u6dfb\u52a0\u6ed1\u5757\u63a7\u4ef6<\/strong><\/h2>\n
axcolor = 'lightgoldenrodyellow'<\/p>\n
ax_radius_increment = plt.axes([0.25, 0.1, 0.65, 0.03], facecolor=axcolor)<\/p>\n
slider_radius_increment = Slider(ax_radius_increment, 'Radius Increment', 0.1, 1.0, valinit=radius_increment)<\/p>\n
def update(val):<\/p>\n
    radius_increment = slider_radius_increment.val<\/p>\n
    for i, circle in enumerate(circles):<\/p>\n
        circle.set_radius(radius_increment * i)<\/p>\n
    fig.canvas.draw_idle()<\/p>\n
slider_radius_increment.on_changed(update)<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7matplotlib.widgets.Slider<\/code>\u7c7b\u521b\u5efa\u6ed1\u5757\u63a7\u4ef6\uff0c\u5e76\u5c06\u6ed1\u5757\u7684\u503c\u4e0e\u5706\u5f62\u7684\u534a\u5f84\u589e\u91cf\u5173\u8054\uff0c\u5b9e\u73b0\u4ea4\u4e92\u5f0f\u7ed8\u5236\u540c\u5fc3\u5706\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4fdd\u5b58\u56fe\u50cf\u4e3a\u4e0d\u540c\u683c\u5f0f<\/h3>\n<\/p>\n
\u5728\u4fdd\u5b58\u56fe\u50cf\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u5982PNG\u3001JPEG\u3001SVG\u7b49\u3002\u901a\u8fc7\u6307\u5b9a\u6587\u4ef6\u6269\u5c55\u540d\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 100<\/p>\n
radius_increment = 0.1<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
\u4fdd\u5b58\u56fe\u50cf\u4e3a\u4e0d\u540c\u683c\u5f0f<\/strong><\/h2>\n
plt.savefig("concentric_circles.png")<\/p>\n
plt.savefig("concentric_circles.jpg")<\/p>\n
plt.savefig("concentric_circles.svg")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u7ed8\u5236\u5e26\u6709\u6ce8\u91ca\u7684\u540c\u5fc3\u5706<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5728\u540c\u5fc3\u5706\u4e0a\u6dfb\u52a0\u6ce8\u91ca\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u89e3\u91ca\u56fe\u50cf\u5185\u5bb9\u3002\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684annotate<\/code>\u51fd\u6570\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 10<\/p>\n
radius_increment = 1.0<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
    # \u6dfb\u52a0\u6ce8\u91ca<\/p>\n
    ax.annotate(f'R={radius}', xy=(radius, 0), xytext=(radius+0.5, 0.5),<\/p>\n
                arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig("annotated_concentric_circles.png")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7ax.annotate<\/code>\u51fd\u6570\u5728\u6bcf\u4e2a\u5706\u7684\u8fb9\u7f18\u6dfb\u52a0\u6ce8\u91ca\uff0c\u663e\u793a\u5706\u7684\u534a\u5f84\u503c\u3002\u6ce8\u91ca\u7684\u4f4d\u7f6e\u548c\u6837\u5f0f\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u8c03\u6574\u3002<\/p>\n<\/p>\n
\u516d\u3001\u7ed8\u5236\u5e26\u6709\u586b\u5145\u989c\u8272\u7684\u540c\u5fc3\u5706<\/h3>\n<\/p>\n
\u9664\u4e86\u7ed8\u5236\u4e0d\u5e26\u586b\u5145\u7684\u540c\u5fc3\u5706\u5916\uff0c\u8fd8\u53ef\u4ee5\u7ed8\u5236\u5e26\u6709\u586b\u5145\u989c\u8272\u7684\u540c\u5fc3\u5706\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eplt.Circle<\/code>\u51fd\u6570\u7684fill<\/code>\u53c2\u6570\u548cfacecolor<\/code>\u53c2\u6570\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u7ed8\u5236\u5e26\u6709\u586b\u5145\u989c\u8272\u7684\u540c\u5fc3\u5706<\/strong><\/h2>\n
num_circles = 10<\/p>\n
radius_increment = 1.0<\/p>\n
colors = plt.cm.viridis(np.linspace(0, 1, num_circles))  # \u4f7f\u7528Viridis\u989c\u8272\u6620\u5c04<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=True, facecolor=colors[i], edgecolor='b', alpha=0.5)<\/p>\n
    ax.add_artist(circle)<\/p>\n
\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig("filled_concentric_circles.png")<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7\u8bbe\u7f6efill=True<\/code>\u548cfacecolor<\/code>\u53c2\u6570\uff0c\u5b9e\u73b0\u5e26\u6709\u586b\u5145\u989c\u8272\u7684\u540c\u5fc3\u5706\u3002\u540c\u65f6\uff0c\u901a\u8fc7\u8bbe\u7f6ealpha<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u8c03\u6574\u586b\u5145\u989c\u8272\u7684\u900f\u660e\u5ea6\uff0c\u4f7f\u5f97\u91cd\u53e0\u90e8\u5206\u7684\u989c\u8272\u6548\u679c\u66f4\u52a0\u67d4\u548c\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u7ed8\u5236\u52a8\u6001\u540c\u5fc3\u5706\u52a8\u753b<\/h3>\n<\/p>\n
\u4e3a\u4e86\u5c55\u793a\u540c\u5fc3\u5706\u7684\u52a8\u6001\u6548\u679c\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684\u52a8\u753b\u529f\u80fd\u3002\u901a\u8fc7matplotlib.animation<\/code>\u6a21\u5757\uff0c\u53ef\u4ee5\u521b\u5efa\u52a8\u6001\u540c\u5fc3\u5706\u52a8\u753b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
import matplotlib.animation as animation<\/p>\n
\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570<\/strong><\/h2>\n
fig, ax = plt.subplots()<\/p>\n
ax.set_aspect('equal')<\/p>\n
ax.set_xlim(-10, 10)<\/p>\n
ax.set_ylim(-10, 10)<\/p>\n
\u521d\u59cb\u5316\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n
num_circles = 10<\/p>\n
radius_increment = 1.0<\/p>\n
circles = []<\/p>\n
for i in range(num_circles):<\/p>\n
    radius = radius_increment * i<\/p>\n
    circle = plt.Circle((0, 0), radius, fill=False, edgecolor='b')<\/p>\n
    ax.add_artist(circle)<\/p>\n
    circles.append(circle)<\/p>\n
\u52a8\u753b\u66f4\u65b0\u51fd\u6570<\/strong><\/h2>\n
def update(frame):<\/p>\n
    for i, circle in enumerate(circles):<\/p>\n
        circle.set_radius(radius_increment * (i + frame \/ 10))<\/p>\n
    return circles<\/p>\n
\u521b\u5efa\u52a8\u753b<\/strong><\/h2>\n
ani = animation.FuncAnimation(fig, update, frames=100, interval=50, blit=True)<\/p>\n
\u4fdd\u5b58\u52a8\u753b<\/strong><\/h2>\n
ani.save("concentric_circles_animation.gif", writer='imagemagick')<\/p>\n
\u663e\u793a\u52a8\u753b<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7animation.FuncAnimation<\/code>\u51fd\u6570\u521b\u5efa\u52a8\u753b\uff0c\u5e76\u5c06\u6bcf\u4e00\u5e27\u7684\u5706\u7684\u534a\u5f84\u8fdb\u884c\u52a8\u6001\u66f4\u65b0\uff0c\u751f\u6210\u52a8\u6001\u540c\u5fc3\u5706\u6548\u679c\u3002\u6700\u540e\uff0c\u5c06\u52a8\u753b\u4fdd\u5b58\u4e3aGIF\u683c\u5f0f\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u4e03\u4e2a\u90e8\u5206\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u7ed8\u5236\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\uff0c\u5e76\u5b9e\u73b0\u5404\u79cd\u6548\u679c\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u7ed8\u5236\u540c\u5fc3\u5706\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u7ed8\u5236\u540c\u5fc3\u5706\uff0c\u6700\u5e38\u7528\u7684\u5305\u62ecMatplotlib\u548cTurtle\u3002Matplotlib\u9002\u5408\u4e8e\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u56fe\u5f62\uff0c\u5e76\u4e14\u5177\u6709\u4e30\u5bcc\u7684\u81ea\u5b9a\u4e49\u9009\u9879\uff1b\u800cTurtle\u5219\u66f4\u9002\u5408\u4e8e\u521d\u5b66\u8005\uff0c\u80fd\u591f\u4ee5\u7b80\u5355\u7684\u4ee3\u7801\u5b9e\u73b0\u53ef\u89c6\u5316\u3002\u6839\u636e\u60a8\u7684\u9879\u76ee\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\u5c06\u5927\u5927\u63d0\u9ad8\u7ed8\u56fe\u6548\u7387\u3002<\/p>\n
\u7ed8\u5236\u540c\u5fc3\u5706\u65f6\u5982\u4f55\u63a7\u5236\u5706\u7684\u6570\u91cf\u548c\u5927\u5c0f\uff1f<\/strong>
\u60a8\u53ef\u4ee5\u901a\u8fc7\u5faa\u73af\u6765\u63a7\u5236\u540c\u5fc3\u5706\u7684\u6570\u91cf\u548c\u5927\u5c0f\u3002\u5728Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528for<\/code>\u5faa\u73af\u6765\u9010\u6b65\u589e\u52a0\u5706\u7684\u534a\u5f84\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5728\u6bcf\u6b21\u5faa\u73af\u4e2d\u589e\u52a0\u4e00\u4e2a\u56fa\u5b9a\u7684\u503c\uff0c\u4ee5\u6b64\u5f62\u6210\u540c\u5fc3\u5706\u7684\u6548\u679c\u3002\u901a\u8fc7\u8c03\u6574\u5faa\u73af\u7684\u8303\u56f4\u548c\u6b65\u957f\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u63a7\u5236\u5706\u7684\u6570\u91cf\u548c\u6bcf\u4e2a\u5706\u4e4b\u95f4\u7684\u95f4\u8ddd\u3002<\/p>\n
\u7ed8\u5236\u540c\u5fc3\u5706\u65f6\u5982\u4f55\u81ea\u5b9a\u4e49\u989c\u8272\u548c\u6837\u5f0f\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u7ed8\u5236\u540c\u5fc3\u5706\u65f6\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u989c\u8272\u548c\u6837\u5f0f\u6765\u589e\u5f3a\u56fe\u5f62\u7684\u89c6\u89c9\u6548\u679c\u3002\u60a8\u53ef\u4ee5\u4e3a\u6bcf\u4e2a\u5706\u6307\u5b9a\u4e0d\u540c\u7684\u989c\u8272\uff0c\u6216\u8005\u4f7f\u7528\u6e10\u53d8\u8272\u6765\u589e\u52a0\u7f8e\u611f\u3002\u901a\u8fc7\u4f7f\u7528set_facecolor()<\/code>\u6216set_edgecolor()<\/code>\u7b49\u65b9\u6cd5\uff0c\u60a8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u6bcf\u4e2a\u5706\u7684\u5916\u89c2\uff0c\u751a\u81f3\u53ef\u4ee5\u901a\u8fc7alpha<\/code>\u53c2\u6570\u8c03\u6574\u900f\u660e\u5ea6\uff0c\u4ee5\u521b\u9020\u51fa\u66f4\u5177\u5c42\u6b21\u611f\u7684\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u7ed8\u5236\u65e0\u6570\u4e2a\u540c\u5fc3\u5706\u7684\u65b9\u6cd5\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4\uff1a\u5bfc\u5165\u76f8\u5173\u5e93\u3001\u8bbe\u7f6e\u7ed8\u56fe\u53c2\u6570\u3001\u7ed8\u5236\u5706\u5f62\u3001\u4fdd\u5b58\u548c\u663e\u793a\u56fe\u50cf\u3002\u4e0b\u9762\u5c06 […]","protected":false},"author":3,"featured_media":1107419,"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\/1107415"}],"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=1107415"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107415\/revisions"}],"predecessor-version":[{"id":1107423,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107415\/revisions\/1107423"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1107419"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1107415"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1107415"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1107415"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}