{"id":1106312,"date":"2025-01-08T16:39:04","date_gmt":"2025-01-08T08:39:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1106312.html"},"modified":"2025-01-08T16:39:07","modified_gmt":"2025-01-08T08:39:07","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e7%bb%98%e5%87%ba%e4%b8%80%e6%9d%a1%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1106312.html","title":{"rendered":"\u5982\u4f55\u5728Python\u7ed8\u51fa\u4e00\u6761\u7ebf"},"content":{"rendered":"

\"\u5982\u4f55\u5728Python\u7ed8\u51fa\u4e00\u6761\u7ebf\"<\/p>\n

\u5728Python\u4e2d\u7ed8\u5236\u4e00\u6761\u7ebf\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\uff0c\u4f8b\u5982Matplotlib\u3001Turtle\u3001Pygame\u7b49\u3002<\/strong> \u5176\u4e2dMatplotlib\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u7b80\u5355\u6613\u7528\uff0c\u800c\u4e14\u529f\u80fd\u5f3a\u5927\u3002\u4f7f\u7528Matplotlib\u7ed8\u5236\u4e00\u6761\u7ebf\u7684\u57fa\u672c\u6b65\u9aa4\u5305\u62ec\uff1a\u5bfc\u5165\u5e93\u3001\u521b\u5efa\u6570\u636e\u3001\u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u7ebf\u6761\u3001\u8bbe\u7f6e\u56fe\u5f62\u53c2\u6570\u3001\u663e\u793a\u56fe\u5f62\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Matplotlib\u6765\u7ed8\u5236\u4e00\u6761\u7ebf\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5bfc\u5165Matplotlib\u5e93<\/h3>\n<\/p>\n

\u8981\u4f7f\u7528Matplotlib\u5e93\uff0c\u9996\u5148\u9700\u8981\u5bfc\u5165\u5b83\u3002\u901a\u5e38\uff0c\u6211\u4eec\u4f1a\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e<\/h3>\n<\/p>\n
\u7ed8\u5236\u4e00\u6761\u7ebf\u9700\u8981\u6709\u6570\u636e\u70b9\u3002\u6211\u4eec\u901a\u5e38\u4f1a\u521b\u5efa\u4e24\u4e2a\u5217\u8868\uff0c\u4e00\u4e2a\u8868\u793ax\u8f74\u7684\u6570\u636e\uff0c\u53e6\u4e00\u4e2a\u8868\u793ay\u8f74\u7684\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
x = [0, 1, 2, 3, 4, 5]<\/p>\n
y = [0, 1, 4, 9, 16, 25]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u7ebf\u6761<\/h3>\n<\/p>\n
\u4f7f\u7528Matplotlib\u7684plot\u51fd\u6570\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u7ed8\u5236\u7ebf\u6761\u3002\u6211\u4eec\u53ea\u9700\u8981\u5c06x\u8f74\u548cy\u8f74\u7684\u6570\u636e\u4f20\u9012\u7ed9plot\u51fd\u6570\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8bbe\u7f6e\u56fe\u5f62\u53c2\u6570<\/h3>\n<\/p>\n
\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\uff0c\u6211\u4eec\u53ef\u4ee5\u8bbe\u7f6e\u4e00\u4e9b\u56fe\u5f62\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u6807\u9898\u3001\u6807\u7b7e\u3001\u7f51\u683c\u7ebf\u7b49\uff1a<\/p>\n<\/p>\n
plt.title('Simple Line Plot')<\/p>\n
plt.xlabel('X Axis')<\/p>\n
plt.ylabel('Y Axis')<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u663e\u793a\u56fe\u5f62<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528show\u51fd\u6570\u6765\u663e\u793a\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\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\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u7ed8\u5236\u4e00\u6761\u7ebf\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
x = [0, 1, 2, 3, 4, 5]<\/p>\n
y = [0, 1, 4, 9, 16, 25]<\/p>\n
\u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u56fe\u5f62\u53c2\u6570<\/strong><\/h2>\n
plt.title('Simple Line Plot')<\/p>\n
plt.xlabel('X Axis')<\/p>\n
plt.ylabel('Y Axis')<\/p>\n
plt.grid(True)<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
\u5bfc\u5165Matplotlib\u5e93<\/strong>\uff1a\u5728Python\u4e2d\uff0cMatplotlib\u662f\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u3002\u5b83\u53ef\u4ee5\u521b\u5efa\u9759\u6001\u3001\u52a8\u753b\u548c\u4ea4\u4e92\u5f0f\u7684\u53ef\u89c6\u5316\u56fe\u8868\u3002\u5bfc\u5165Matplotlib\u5e93\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u4e00\u884c\u4ee3\u7801 import matplotlib.pyplot as plt<\/code>\u3002<\/p>\n<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong>\uff1a\u7ed8\u5236\u56fe\u5f62\u7684\u7b2c\u4e00\u6b65\u662f\u521b\u5efa\u6570\u636e\u3002\u6570\u636e\u901a\u5e38\u4ee5\u5217\u8868\u6216NumPy\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u50a8\u3002\u5217\u8868 x<\/code> \u548c y<\/code> \u5206\u522b\u8868\u793ax\u8f74\u548cy\u8f74\u4e0a\u7684\u6570\u636e\u70b9\u3002\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\u7684\u6570\u636e\u8868\u793a\u7684\u662f\u4e00\u4e2a\u629b\u7269\u7ebfy = x^2\u3002<\/p>\n<\/p>\n
\u4f7f\u7528plot\u51fd\u6570\u7ed8\u5236\u7ebf\u6761<\/strong>\uff1aplot\u51fd\u6570\u662fMatplotlib\u4e2d\u6700\u57fa\u672c\u7684\u7ed8\u56fe\u51fd\u6570\u3002\u4f60\u53ea\u9700\u8981\u5c06x\u8f74\u548cy\u8f74\u7684\u6570\u636e\u4f20\u9012\u7ed9\u5b83\uff0c\u5b83\u5c31\u4f1a\u5728\u56fe\u5f62\u4e0a\u7ed8\u5236\u51fa\u4e00\u6761\u7ebf\u3002<\/p>\n<\/p>\n
\u8bbe\u7f6e\u56fe\u5f62\u53c2\u6570<\/strong>\uff1a\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\uff0c\u53ef\u4ee5\u6dfb\u52a0\u4e00\u4e9b\u56fe\u5f62\u53c2\u6570\u3002\u4f8b\u5982\uff0cplt.title('Simple Line Plot')<\/code> \u8bbe\u7f6e\u56fe\u5f62\u7684\u6807\u9898\uff0cplt.xlabel('X Axis')<\/code> \u548c plt.ylabel('Y Axis')<\/code> \u5206\u522b\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u6807\u7b7e\u3002plt.grid(True)<\/code> \u7528\u4e8e\u5728\u56fe\u5f62\u4e0a\u6dfb\u52a0\u7f51\u683c\u7ebf\uff0c\u8fd9\u6837\u53ef\u4ee5\u66f4\u5bb9\u6613\u5730\u8bfb\u53d6\u6570\u636e\u70b9\u7684\u503c\u3002<\/p>\n<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong>\uff1a\u6700\u540e\u4e00\u6b65\u662f\u4f7f\u7528 plt.show()<\/code> \u51fd\u6570\u6765\u663e\u793a\u56fe\u5f62\u3002\u8fd9\u4e2a\u51fd\u6570\u4f1a\u6253\u5f00\u4e00\u4e2a\u7a97\u53e3\uff0c\u663e\u793a\u6211\u4eec\u7ed8\u5236\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u7ed8\u5236\u4e00\u6761\u7ebf\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecdMatplotlib\u7684\u4e00\u4e9b\u9ad8\u7ea7\u529f\u80fd\uff0c\u4f8b\u5982\u5982\u4f55\u81ea\u5b9a\u4e49\u7ebf\u6761\u6837\u5f0f\u3001\u6dfb\u52a0\u591a\u4e2a\u7ebf\u6761\u3001\u4f7f\u7528\u5b50\u56fe\u7b49\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5b9a\u5236\u7ebf\u6761\u6837\u5f0f<\/h3>\n<\/p>\n
Matplotlib\u5141\u8bb8\u4f60\u5b9a\u5236\u7ebf\u6761\u7684\u6837\u5f0f\uff0c\u5305\u62ec\u989c\u8272\u3001\u7ebf\u578b\u3001\u7ebf\u5bbd\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, color='red', linestyle='--', linewidth=2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u6dfb\u52a0\u591a\u4e2a\u7ebf\u6761<\/h3>\n<\/p>\n
\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e2d\u6dfb\u52a0\u591a\u4e2a\u7ebf\u6761\u4e5f\u662f\u975e\u5e38\u7b80\u5355\u7684\u3002\u53ea\u9700\u8981\u8c03\u7528\u591a\u6b21plot\u51fd\u6570\u5373\u53ef\uff1a<\/p>\n<\/p>\n
x1 = [0, 1, 2, 3, 4, 5]<\/p>\n
y1 = [0, 1, 4, 9, 16, 25]<\/p>\n
x2 = [0, 1, 2, 3, 4, 5]<\/p>\n
y2 = [0, 1, 2, 3, 4, 5]<\/p>\n
plt.plot(x1, y1, label='Quadratic')<\/p>\n
plt.plot(x2, y2, label='Linear')<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u4f7f\u7528\u5b50\u56fe<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\u6211\u4eec\u9700\u8981\u5728\u4e00\u4e2a\u7a97\u53e3\u4e2d\u663e\u793a\u591a\u4e2a\u56fe\u5f62\uff0cMatplotlib\u7684 subplot<\/code> \u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
fig, (ax1, ax2) = plt.subplots(2)<\/p>\n
ax1.plot(x, y)<\/p>\n
ax1.set_title('Quadratic')<\/p>\n
ax2.plot(x, y2)<\/p>\n
ax2.set_title('Linear')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u4fdd\u5b58\u56fe\u5f62<\/h3>\n<\/p>\n
\u9664\u4e86\u663e\u793a\u56fe\u5f62\uff0cMatplotlib\u8fd8\u5141\u8bb8\u4f60\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.savefig('line_plot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u4f7f\u7528Turtle\u7ed8\u5236\u7ebf\u6761<\/h3>\n<\/p>\n
\u9664\u4e86Matplotlib\uff0cPython\u7684Turtle\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u7ed8\u5236\u7ebf\u6761\u3002Turtle\u662f\u4e00\u4e2a\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u7684\u7ed8\u56fe\u5e93\uff0c\u5b83\u4f7f\u7528\u7b80\u5355\u7684\u547d\u4ee4\u6765\u63a7\u5236\u201c\u6d77\u9f9f\u201d\u5728\u5c4f\u5e55\u4e0a\u7ed8\u56fe\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import turtle<\/p>\n
t = turtle.Turtle()<\/p>\n
t.forward(100)<\/p>\n
t.left(90)<\/p>\n
t.forward(100)<\/p>\n
turtle.done()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e00\u3001\u4f7f\u7528Pygame\u7ed8\u5236\u7ebf\u6761<\/h3>\n<\/p>\n
Pygame\u662f\u4e00\u4e2a\u7528\u4e8e\u5236\u4f5c2D\u6e38\u620f\u7684\u5e93\uff0c\u5b83\u4e5f\u53ef\u4ee5\u7528\u6765\u7ed8\u5236\u7ebf\u6761\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import pygame<\/p>\n
pygame.init()<\/p>\n
screen = pygame.display.set_mode((400, 300))<\/p>\n
done = False<\/p>\n
while not done:<\/p>\n
    for event in pygame.event.get():<\/p>\n
        if event.type == pygame.QUIT:<\/p>\n
            done = True<\/p>\n
    pygame.draw.line(screen, (255, 0, 0), (0, 0), (100, 100), 5)<\/p>\n
    pygame.display.flip()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e8c\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93Seaborn<\/h3>\n<\/p>\n
Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u7f8e\u89c2\u7684\u9ed8\u8ba4\u6837\u5f0f\u548c\u66f4\u591a\u7684\u7ed8\u56fe\u7c7b\u578b\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [0, 1, 2, 3, 4, 5]<\/p>\n
y = [0, 1, 4, 9, 16, 25]<\/p>\n
sns.lineplot(x=x, y=y)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e09\u3001\u4f7f\u7528Pandas\u7ed8\u5236\u7ebf\u6761<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u7684\u6570\u636e\u5b58\u50a8\u5728Pandas DataFrame\u4e2d\uff0c\u4f60\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528Pandas\u7684plot\u65b9\u6cd5\u6765\u7ed8\u5236\u7ebf\u6761\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {'x': [0, 1, 2, 3, 4, 5], 'y': [0, 1, 4, 9, 16, 25]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df.plot(x='x', y='y')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u56db\u3001\u4e09\u7ef4\u7ebf\u6761\u7ed8\u5236<\/h3>\n<\/p>\n
Matplotlib\u4e5f\u652f\u6301\u4e09\u7ef4\u56fe\u5f62\u7684\u7ed8\u5236\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
from mpl_toolkits.mplot3d import Axes3D<\/p>\n
import numpy as np<\/p>\n
fig = plt.figure()<\/p>\n
ax = fig.add_subplot(111, projection='3d')<\/p>\n
x = np.linspace(-5, 5, 100)<\/p>\n
y = np.linspace(-5, 5, 100)<\/p>\n
z = x<strong>2 + y<\/strong>2<\/p>\n
ax.plot(x, y, z)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e94\u3001\u4ea4\u4e92\u5f0f\u7ed8\u56fe<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u4ea4\u4e92\u529f\u80fd\u7684\u56fe\u5f62\uff0c\u53ef\u4ee5\u4f7f\u7528Plotly\u5e93\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import plotly.express as px<\/p>\n
df = px.data.gapminder().query("country=='Canada'")<\/p>\n
fig = px.line(df, x='year', y='gdpPercap', title='GDP per capita in Canada')<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u548c\u65b9\u6cd5\u6765\u7ed8\u5236\u7ebf\u6761\uff0cMatplotlib<\/strong> \u662f\u5176\u4e2d\u6700\u5e38\u7528\u548c\u529f\u80fd\u6700\u5f3a\u5927\u7684\u5e93\u4e4b\u4e00\u3002\u901a\u8fc7\u4e86\u89e3\u548c\u638c\u63e1\u8fd9\u4e9b\u5de5\u5177\uff0c\u4f60\u53ef\u4ee5\u5728Python\u4e2d\u521b\u5efa\u5404\u79cd\u7f8e\u89c2\u548c\u590d\u6742\u7684\u56fe\u5f62\uff0c\u6ee1\u8db3\u4e0d\u540c\u7684\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u7ebf\u6761\u7ed8\u5236\u8fd8\u662f\u9ad8\u7ea7\u7684\u4e09\u7ef4\u56fe\u5f62\u548c\u4ea4\u4e92\u5f0f\u7ed8\u56fe\uff0cPython\u90fd\u80fd\u63d0\u4f9b\u76f8\u5e94\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u9009\u62e9\u5408\u9002\u7684\u7ed8\u56fe\u5e93\u6765\u7ed8\u5236\u7ebf\u6761\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u7ed8\u56fe\u5e93\u53ef\u4f9b\u9009\u62e9\uff0c\u4f8b\u5982Matplotlib\u3001Pygame\u548cSeaborn\u7b49\u3002Matplotlib\u662f\u6700\u5e38\u7528\u7684\u5e93\uff0c\u9002\u5408\u57fa\u7840\u7ed8\u56fe\u9700\u6c42\u3002\u5b83\u63d0\u4f9b\u4e86\u7b80\u5355\u76f4\u89c2\u7684\u63a5\u53e3\uff0c\u53ef\u4ee5\u7ed8\u5236\u7ebf\u6761\u3001\u6563\u70b9\u56fe\u7b49\u3002\u9009\u62e9\u5e93\u65f6\uff0c\u9700\u8981\u8003\u8651\u4f60\u7684\u5177\u4f53\u9700\u6c42\uff0c\u6bd4\u5982\u662f\u5426\u9700\u8981\u4ea4\u4e92\u5f0f\u7ed8\u56fe\u6216\u8005\u652f\u6301\u590d\u6742\u7684\u56fe\u5f62\u3002<\/p>\n
\u6211\u5e94\u8be5\u5982\u4f55\u5b89\u88c5\u548c\u914d\u7f6ePython\u7ed8\u56fe\u5e93\u4ee5\u7ed8\u5236\u7ebf\u6761\uff1f<\/strong>
\u5b89\u88c5Matplotlib\u7b49\u5e93\u901a\u5e38\u975e\u5e38\u7b80\u5355\u3002\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff0c\u5982pip install matplotlib<\/code>\u3002\u5b89\u88c5\u540e\uff0c\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u901a\u8fc7import matplotlib.pyplot as plt<\/code>\u5bfc\u5165\u5e93\uff0c\u5e76\u8fdb\u884c\u5fc5\u8981\u7684\u914d\u7f6e\u3002\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\u5df2\u5b89\u88c5\u76f8\u5173\u4f9d\u8d56\uff0c\u4ee5\u907f\u514d\u5728\u7ed8\u56fe\u65f6\u9047\u5230\u95ee\u9898\u3002<\/p>\n
\u5728\u7ed8\u5236\u7ebf\u6761\u65f6\uff0c\u5982\u4f55\u81ea\u5b9a\u4e49\u7ebf\u6761\u7684\u989c\u8272\u548c\u6837\u5f0f\uff1f<\/strong>
\u4f7f\u7528Matplotlib\u7ed8\u5236\u7ebf\u6761\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u6765\u8bbe\u7f6e\u7ebf\u6761\u7684\u989c\u8272\u548c\u6837\u5f0f\u3002\u5728plt.plot()<\/code>\u51fd\u6570\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528color<\/code>\u53c2\u6570\u6307\u5b9a\u989c\u8272\uff0c\u4f7f\u7528linestyle<\/code>\u53c2\u6570\u9009\u62e9\u6837\u5f0f\uff08\u5982\u5b9e\u7ebf\u3001\u865a\u7ebf\u7b49\uff09\u3002\u4f8b\u5982\uff0cplt.plot(x, y, color='red', linestyle='--')<\/code>\u4f1a\u7ed8\u5236\u4e00\u6761\u7ea2\u8272\u865a\u7ebf\u3002\u901a\u8fc7\u8fd9\u4e9b\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u53ef\u4ee5\u4f7f\u56fe\u5f62\u66f4\u7b26\u5408\u4f60\u7684\u9700\u6c42\u548c\u5ba1\u7f8e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u7ed8\u5236\u4e00\u6761\u7ebf\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\uff0c\u4f8b\u5982Matplotlib\u3001Turtle\u3001Pygame\u7b49\u3002 \u5176\u4e2dM […]","protected":false},"author":3,"featured_media":1106316,"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\/1106312"}],"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=1106312"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1106312\/revisions"}],"predecessor-version":[{"id":1106317,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1106312\/revisions\/1106317"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1106316"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1106312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1106312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1106312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}