{"id":1176572,"date":"2025-01-15T17:46:30","date_gmt":"2025-01-15T09:46:30","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1176572.html"},"modified":"2025-01-15T17:46:33","modified_gmt":"2025-01-15T09:46:33","slug":"python%e5%a6%82%e4%bd%95%e6%94%b9%e5%8f%98x%e8%bd%b4%e8%8c%83%e5%9b%b4","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1176572.html","title":{"rendered":"python\u5982\u4f55\u6539\u53d8x\u8f74\u8303\u56f4"},"content":{"rendered":"

\"python\u5982\u4f55\u6539\u53d8x\u8f74\u8303\u56f4\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u6539\u53d8\u56fe\u8868\u7684x\u8f74\u8303\u56f4\u3002\u6700\u5e38\u89c1\u7684\u505a\u6cd5\u662f\u4f7f\u7528matplotlib<\/code>\u5e93\u4e2d\u7684\u51fd\u6570\u3002\u901a\u8fc7\u8bbe\u7f6exlim\u3001\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u3001\u901a\u8fc7\u8bbe\u7f6e\u6570\u636e\u8303\u56f4<\/strong>\u7b49\u65b9\u5f0f\u90fd\u53ef\u4ee5\u5b9e\u73b0x\u8f74\u8303\u56f4\u7684\u6539\u53d8\u3002\u4e0b\u9762\u8be6\u7ec6\u63cf\u8ff0\u901a\u8fc7xlim<\/code>\u6765\u6539\u53d8x\u8f74\u8303\u56f4\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u901a\u8fc7\u8bbe\u7f6exlim<\/strong><\/p>\n<\/p>\n

\u5728matplotlib<\/code>\u4e2d\uff0c\u51fd\u6570xlim<\/code>\u53ef\u4ee5\u7528\u6765\u8bbe\u7f6ex\u8f74\u7684\u8303\u56f4\u3002\u5177\u4f53\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u4e00\u4e9b\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
y = [i2 for i in x]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(2, 8)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cplt.xlim(2, 8)<\/code>\u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a\u4ece2\u52308\u3002\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u805a\u7126\u4e8e\u6570\u636e\u7684\u7279\u5b9a\u90e8\u5206\uff0c\u4ece\u800c\u66f4\u597d\u5730\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u3002<\/p>\n<\/p>\n
\n
\u4e00\u3001\u901a\u8fc7\u8bbe\u7f6exlim<\/h3>\n<\/p>\n
xlim<\/code>\u51fd\u6570\u53ef\u4ee5\u901a\u8fc7\u63d0\u4f9b\u4e24\u4e2a\u53c2\u6570\u6765\u8bbe\u7f6ex\u8f74\u7684\u8303\u56f4\uff0c\u5206\u522b\u662fx\u8f74\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u3002\u8fd9\u4e2a\u65b9\u6cd5\u975e\u5e38\u76f4\u63a5\u4e14\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n
\u4f8b\u5b50\u548c\u89e3\u91ca<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u7ec4\u6570\u636e\uff0c\u60f3\u8981\u7ed8\u5236\u5176\u56fe\u8868\u5e76\u53ea\u5173\u6ce8\u5176\u4e2d\u7684\u4e00\u90e8\u5206\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
y = [i3 for i in x]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(3, 7)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cplt.xlim(3, 7)<\/code> \u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a\u4ece3\u52307\u3002\u8fd9\u4f7f\u5f97\u56fe\u8868\u4ec5\u663e\u793ax\u503c\u57283\u52307\u4e4b\u95f4\u7684\u6570\u636e\u70b9\u3002<\/p>\n<\/p>\n
\u52a8\u6001\u8c03\u6574xlim<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u5e0c\u671b\u6839\u636e\u6570\u636e\u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4\u3002\u53ef\u4ee5\u901a\u8fc7\u4e00\u4e9b\u903b\u8f91\u5224\u65ad\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(50)]<\/p>\n
y = [i2 for i in x]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u52a8\u6001\u8bbe\u7f6ex\u8f74\u8303\u56f4\uff0c\u4f8b\u5982\u53ea\u663e\u793a\u524d20\u4e2a\u6570\u636e\u70b9<\/strong><\/h2>\n
if max(x) > 20:<\/p>\n
    plt.xlim(0, 20)<\/p>\n
else:<\/p>\n
    plt.xlim(0, max(x))<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u6839\u636e\u6570\u636e\u96c6\u7684\u5927\u5c0f\u52a8\u6001\u8c03\u6574\u4e86x\u8f74\u7684\u8303\u56f4\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u56fe\u8868\u7684\u7075\u6d3b\u6027\u548c\u9002\u5e94\u6027\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6<\/h3>\n<\/p>\n
\u9664\u4e86\u76f4\u63a5\u8bbe\u7f6ex\u8f74\u8303\u56f4\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u6765\u95f4\u63a5\u5f71\u54cdx\u8f74\u7684\u663e\u793a\u8303\u56f4\u3002\u8fd9\u901a\u5e38\u7528\u4e8e\u9700\u8981\u7cbe\u786e\u63a7\u5236\u523b\u5ea6\u95f4\u9694\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u4f7f\u7528xticks\u51fd\u6570<\/h4>\n<\/p>\n
xticks<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u8bbe\u7f6ex\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u53ca\u5176\u6807\u7b7e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(20)]<\/p>\n
y = [i2 for i in x]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6ex\u8f74\u523b\u5ea6<\/strong><\/h2>\n
plt.xticks([0, 5, 10, 15, 20])<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cplt.xticks([0, 5, 10, 15, 20])<\/code> \u8bbe\u7f6e\u4e86x\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7cbe\u786e\u63a7\u5236x\u8f74\u7684\u663e\u793a\u8303\u56f4\u548c\u523b\u5ea6\u95f4\u9694\u3002<\/p>\n<\/p>\n
\u81ea\u5b9a\u4e49\u523b\u5ea6\u6807\u7b7e<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u5e0c\u671b\u81ea\u5b9a\u4e49x\u8f74\u523b\u5ea6\u7684\u6807\u7b7e\uff0c\u4f8b\u5982\u5c06\u6570\u5b57\u66ff\u6362\u4e3a\u65e5\u671f\u6216\u5176\u4ed6\u6807\u8bb0\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(7)]<\/p>\n
y = [i2 for i in x]<\/p>\n
labels = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6ex\u8f74\u523b\u5ea6\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.xticks(x, labels)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cplt.xticks(x, labels)<\/code> \u8bbe\u7f6e\u4e86x\u8f74\u7684\u523b\u5ea6\u4f4d\u7f6e\u548c\u81ea\u5b9a\u4e49\u6807\u7b7e\u3002\u8fd9\u5bf9\u4e8e\u5c55\u793a\u65f6\u95f4\u5e8f\u5217\u6216\u5206\u7c7b\u6570\u636e\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u901a\u8fc7\u8bbe\u7f6e\u6570\u636e\u8303\u56f4<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6539\u53d8x\u8f74\u8303\u56f4\u7684\u9700\u6c42\u5b9e\u9645\u4e0a\u662f\u4e3a\u4e86\u805a\u7126\u4e8e\u6570\u636e\u4e2d\u7684\u7279\u5b9a\u90e8\u5206\u3002\u901a\u8fc7\u7b5b\u9009\u6570\u636e\uff0c\u53ef\u4ee5\u95f4\u63a5\u5b9e\u73b0x\u8f74\u8303\u56f4\u7684\u6539\u53d8\u3002<\/p>\n<\/p>\n
\u4f8b\u5b50\u548c\u89e3\u91ca<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u7ec4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u60f3\u8981\u7ed8\u5236\u7279\u5b9a\u65f6\u95f4\u6bb5\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u793a\u4f8b\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n
dates = pd.date_range(start='20230101', periods=100)<\/p>\n
data = pd.Series([i2 for i in range(100)], index=dates)<\/p>\n
\u7b5b\u9009\u7279\u5b9a\u65f6\u95f4\u6bb5\u7684\u6570\u636e<\/strong><\/h2>\n
filtered_data = data['2023-01-10':'2023-01-20']<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(filtered_data.index, filtered_data.values)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u7b5b\u9009\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u7279\u5b9a\u65f6\u95f4\u6bb5\uff0c\u95f4\u63a5\u5b9e\u73b0\u4e86x\u8f74\u8303\u56f4\u7684\u6539\u53d8\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u9002\u7528\u4e8e\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u7b5b\u9009\u6570\u636e<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u4e00\u822c\u7684\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u6765\u7b5b\u9009\u6570\u636e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
\u7b5b\u9009x\u503c\u57282\u52308\u4e4b\u95f4\u7684\u6570\u636e<\/strong><\/h2>\n
mask = (x >= 2) & (x <= 8)<\/p>\n
filtered_x = x[mask]<\/p>\n
filtered_y = y[mask]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(filtered_x, filtered_y)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u7b5b\u9009\u4e86x\u503c\u57282\u52308\u4e4b\u95f4\u7684\u6570\u636e\uff0c\u8fdb\u800c\u6539\u53d8\u4e86\u56fe\u8868\u7684x\u8f74\u8303\u56f4\u3002\u8fd9\u79cd\u65b9\u6cd5\u7075\u6d3b\u4e14\u901a\u7528\uff0c\u9002\u7528\u4e8e\u5404\u79cd\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n
\u56db\u3001\u901a\u8fc7\u4ea4\u4e92\u5f0f\u5de5\u5177<\/h3>\n<\/p>\n
\u9664\u4e86\u9759\u6001\u56fe\u8868\uff0c\u6709\u65f6\u5019\u6211\u4eec\u9700\u8981\u901a\u8fc7\u4ea4\u4e92\u5f0f\u5de5\u5177\u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4\u3002\u8fd9\u91cc\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528matplotlib<\/code>\u7684\u4ea4\u4e92\u5f0f\u6a21\u5f0f\u548cplotly<\/code>\u5e93\u3002<\/p>\n<\/p>\n
\u4f7f\u7528matplotlib\u7684\u4ea4\u4e92\u5f0f\u6a21\u5f0f<\/h4>\n<\/p>\n
matplotlib<\/code>\u63d0\u4f9b\u4e86\u4ea4\u4e92\u5f0f\u6a21\u5f0f\uff0c\u53ef\u4ee5\u901a\u8fc7\u62d6\u52a8\u548c\u7f29\u653e\u6765\u8c03\u6574x\u8f74\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u542f\u7528\u4ea4\u4e92\u5f0f\u6a21\u5f0f<\/strong><\/h2>\n
plt.ion()<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y = [i0.5 for i in x]<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u663e\u793a\u56fe\u8868\u5e76\u542f\u7528\u4ea4\u4e92<\/strong><\/h2>\n
plt.show()<\/p>\n
\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u62d6\u52a8\u548c\u7f29\u653e\u6765\u8c03\u6574x\u8f74\u8303\u56f4<\/strong><\/h2>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u542f\u7528\u4ea4\u4e92\u5f0f\u6a21\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u62d6\u52a8\u548c\u7f29\u653e\u6765\u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u5408\u9700\u8981\u9891\u7e41\u8c03\u6574\u56fe\u8868\u8303\u56f4\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4f7f\u7528plotly\u5e93<\/h4>\n<\/p>\n
plotly<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u4ea4\u4e92\u5f0f\u56fe\u8868\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u4ee3\u7801\u5b9e\u73b0\u590d\u6742\u7684\u4ea4\u4e92\u529f\u80fd\uff1a<\/p>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y = [i0.5 for i in x]<\/p>\n
\u521b\u5efa\u56fe\u8868<\/strong><\/h2>\n
fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'))<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528plotly<\/code>\u521b\u5efa\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u62d6\u52a8\u548c\u7f29\u653e\u6765\u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4\u3002plotly<\/code>\u7684\u4ea4\u4e92\u529f\u80fd\u975e\u5e38\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u4ea4\u4e92\u6027\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u901a\u8fc7\u5b50\u56fe\u8c03\u6574x\u8f74\u8303\u56f4<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u9700\u8981\u5728\u540c\u4e00\u4e2a\u56fe\u8868\u4e2d\u5c55\u793a\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u5bf9\u6bcf\u4e2a\u5b50\u56fe\u7684x\u8f74\u8303\u56f4\u8fdb\u884c\u72ec\u7acb\u8c03\u6574\u3002\u8fd9\u91cc\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528matplotlib<\/code>\u7684\u5b50\u56fe\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u521b\u5efa\u591a\u4e2a\u5b50\u56fe<\/h4>\n<\/p>\n
\u901a\u8fc7matplotlib<\/code>\u7684subplot<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u56fe\u8868\u4e2d\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y1 = [i0.5 for i in x]<\/p>\n
y2 = [i2 for i in x]<\/p>\n
\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n
fig, (ax1, ax2) = plt.subplots(2, 1)<\/p>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax1.plot(x, y1)<\/p>\n
ax1.set_xlim(0, 50)<\/p>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax2.plot(x, y2)<\/p>\n
ax2.set_xlim(50, 100)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7plt.subplots(2, 1)<\/code>\u521b\u5efa\u4e86\u4e24\u4e2a\u5b50\u56fe\uff0c\u5e76\u5206\u522b\u5bf9\u6bcf\u4e2a\u5b50\u56fe\u7684x\u8f74\u8303\u56f4\u8fdb\u884c\u4e86\u72ec\u7acb\u8bbe\u7f6e\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u9002\u5408\u9700\u8981\u5728\u540c\u4e00\u4e2a\u56fe\u8868\u4e2d\u5c55\u793a\u591a\u4e2a\u89c6\u89d2\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
\u52a8\u6001\u8c03\u6574\u5b50\u56fe\u7684x\u8f74\u8303\u56f4<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u52a8\u6001\u8c03\u6574\u5b50\u56fe\u7684x\u8f74\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y1 = [i0.5 for i in x]<\/p>\n
y2 = [i2 for i in x]<\/p>\n
\u521b\u5efa\u5b50\u56fe<\/strong><\/h2>\n
fig, (ax1, ax2) = plt.subplots(2, 1)<\/p>\n
\u7ed8\u5236\u7b2c\u4e00\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax1.plot(x, y1)<\/p>\n
if max(x) > 50:<\/p>\n
    ax1.set_xlim(0, 50)<\/p>\n
else:<\/p>\n
    ax1.set_xlim(0, max(x))<\/p>\n
\u7ed8\u5236\u7b2c\u4e8c\u4e2a\u5b50\u56fe<\/strong><\/h2>\n
ax2.plot(x, y2)<\/p>\n
if max(x) > 100:<\/p>\n
    ax2.set_xlim(50, 100)<\/p>\n
else:<\/p>\n
    ax2.set_xlim(max(x) - 50, max(x))<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u903b\u8f91\u5224\u65ad\u52a8\u6001\u8c03\u6574\u4e86\u6bcf\u4e2a\u5b50\u56fe\u7684x\u8f74\u8303\u56f4\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u56fe\u8868\u7684\u7075\u6d3b\u6027\u548c\u9002\u5e94\u6027\u3002<\/p>\n<\/p>\n
\u516d\u3001\u901a\u8fc7\u52a8\u753b\u6539\u53d8x\u8f74\u8303\u56f4<\/h3>\n<\/p>\n
\u5728\u4e00\u4e9b\u52a8\u6001\u6570\u636e\u5c55\u793a\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u901a\u8fc7\u52a8\u753b\u6765\u6539\u53d8x\u8f74\u8303\u56f4\u3002\u8fd9\u91cc\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528matplotlib<\/code>\u7684\u52a8\u753b\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u521b\u5efa\u52a8\u753b<\/h4>\n<\/p>\n
matplotlib<\/code>\u7684FuncAnimation<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u52a8\u753b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.animation as animation<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
fig, ax = plt.subplots()<\/p>\n
line, = ax.plot(x, y)<\/p>\n
\u521d\u59cb\u5316\u51fd\u6570<\/strong><\/h2>\n
def init():<\/p>\n
    line.set_ydata([np.nan] * len(x))<\/p>\n
    return line,<\/p>\n
\u66f4\u65b0\u51fd\u6570<\/strong><\/h2>\n
def update(frame):<\/p>\n
    line.set_ydata(np.sin(x + frame \/ 10.0))  # \u66f4\u65b0y\u6570\u636e<\/p>\n
    ax.set_xlim(frame \/ 10.0, frame \/ 10.0 + 2)  # \u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4<\/p>\n
    return line,<\/p>\n
\u521b\u5efa\u52a8\u753b<\/strong><\/h2>\n
ani = animation.FuncAnimation(fig, update, frames=range(100), init_func=init, blit=True)<\/p>\n
\u663e\u793a\u52a8\u753b<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7FuncAnimation<\/code>\u521b\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u52a8\u753b\u3002\u5728update<\/code>\u51fd\u6570\u4e2d\uff0c\u52a8\u6001\u8c03\u6574\u4e86x\u8f74\u7684\u8303\u56f4\uff0c\u4f7f\u5f97x\u8f74\u8303\u56f4\u968f\u7740\u52a8\u753b\u5e27\u7684\u53d8\u5316\u800c\u6539\u53d8\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u52a8\u6001\u6570\u636e\u5c55\u793a\u548c\u5b9e\u65f6\u6570\u636e\u76d1\u63a7\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u901a\u8fc7\u6570\u636e\u7f29\u653e\u548c\u5e73\u79fb<\/h3>\n<\/p>\n
\u5728\u4e00\u4e9b\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u573a\u666f\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u7f29\u653e\u548c\u5e73\u79fb\uff0c\u4ece\u800c\u95f4\u63a5\u5b9e\u73b0x\u8f74\u8303\u56f4\u7684\u6539\u53d8\u3002\u8fd9\u91cc\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u6570\u636e\u7f29\u653e\u548c\u5e73\u79fb\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002<\/p>\n<\/p>\n
\u6570\u636e\u7f29\u653e<\/h4>\n<\/p>\n
\u901a\u8fc7\u5bf9\u6570\u636e\u8fdb\u884c\u7f29\u653e\uff0c\u53ef\u4ee5\u6539\u53d8\u5176\u5728x\u8f74\u4e0a\u7684\u663e\u793a\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
\u7f29\u653e\u6570\u636e<\/strong><\/h2>\n
scale_factor = 2<\/p>\n
scaled_x = x * scale_factor<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(scaled_x, y)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u5c06x\u6570\u636e\u4e58\u4ee5\u4e00\u4e2a\u7f29\u653e\u56e0\u5b50\uff0c\u5b9e\u73b0\u4e86\u5bf9\u6570\u636e\u7684\u7f29\u653e\u3002\u8fd9\u6837\u53ef\u4ee5\u95f4\u63a5\u6539\u53d8x\u8f74\u7684\u663e\u793a\u8303\u56f4\u3002<\/p>\n<\/p>\n
\u6570\u636e\u5e73\u79fb<\/h4>\n<\/p>\n
\u901a\u8fc7\u5bf9\u6570\u636e\u8fdb\u884c\u5e73\u79fb\uff0c\u53ef\u4ee5\u6539\u53d8\u5176\u5728x\u8f74\u4e0a\u7684\u663e\u793a\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = np.linspace(0, 10, 100)<\/p>\n
y = np.sin(x)<\/p>\n
\u5e73\u79fb\u6570\u636e<\/strong><\/h2>\n
shift_value = 5<\/p>\n
shifted_x = x + shift_value<\/p>\n
\u7ed8\u5236\u56fe\u8868<\/strong><\/h2>\n
plt.plot(shifted_x, y)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u5c06x\u6570\u636e\u52a0\u4e0a\u4e00\u4e2a\u5e73\u79fb\u503c\uff0c\u5b9e\u73b0\u4e86\u5bf9\u6570\u636e\u7684\u5e73\u79fb\u3002\u8fd9\u6837\u53ef\u4ee5\u95f4\u63a5\u6539\u53d8x\u8f74\u7684\u663e\u793a\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u516b\u3001\u901a\u8fc7\u4f7f\u7528\u4e0d\u540c\u7684\u56fe\u8868\u7c7b\u578b<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6539\u53d8x\u8f74\u8303\u56f4\u7684\u9700\u6c42\u5b9e\u9645\u4e0a\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u4e0d\u540c\u7684\u56fe\u8868\u7c7b\u578b\u6765\u5b9e\u73b0\u3002\u4e0d\u540c\u7684\u56fe\u8868\u7c7b\u578b\u53ef\u4ee5\u63d0\u4f9b\u4e0d\u540c\u7684\u89c6\u89d2\uff0c\u4ece\u800c\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u6761\u5f62\u56fe<\/h4>\n<\/p>\n
\u6761\u5f62\u56fe\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u6761\u5f62\u7684\u5bbd\u5ea6\u548c\u4f4d\u7f6e\u6765\u95f4\u63a5\u6539\u53d8x\u8f74\u7684\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
categories = ['A', 'B', 'C', 'D', 'E']<\/p>\n
values = [5, 7, 3, 8, 4]<\/p>\n
\u7ed8\u5236\u6761\u5f62\u56fe<\/strong><\/h2>\n
plt.bar(categories, values)<\/p>\n
\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(-0.5, 4.5)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u8bbe\u7f6e\u6761\u5f62\u7684\u5bbd\u5ea6\u548c\u4f4d\u7f6e\uff0c\u5b9e\u73b0\u4e86\u5bf9x\u8f74\u8303\u56f4\u7684\u95f4\u63a5\u63a7\u5236\u3002\u6761\u5f62\u56fe\u9002\u7528\u4e8e\u5206\u7c7b\u6570\u636e\u7684\u5c55\u793a\u3002<\/p>\n<\/p>\n
\u4f7f\u7528\u6563\u70b9\u56fe<\/h4>\n<\/p>\n
\u6563\u70b9\u56fe\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u70b9\u7684\u5927\u5c0f\u548c\u4f4d\u7f6e\u6765\u95f4\u63a5\u6539\u53d8x\u8f74\u7684\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = np.random.rand(100) * 10<\/p>\n
y = np.random.rand(100) * 10<\/p>\n
\u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/h2>\n
plt.scatter(x, y)<\/p>\n
\u8bbe\u7f6ex\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(2, 8)<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u8bbe\u7f6e\u70b9\u7684\u5927\u5c0f\u548c\u4f4d\u7f6e\uff0c\u5b9e\u73b0\u4e86\u5bf9x\u8f74\u8303\u56f4\u7684\u95f4\u63a5\u63a7\u5236\u3002\u6563\u70b9\u56fe\u9002\u7528\u4e8e\u5c55\u793a\u6570\u636e\u7684\u5206\u5e03\u548c\u76f8\u5173\u6027\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u901a\u8fc7\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6807\u51c6\u7684\u7ed8\u56fe\u51fd\u6570\u65e0\u6cd5\u6ee1\u8db3\u7279\u5b9a\u7684\u9700\u6c42\u3002\u8fd9\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570\u6765\u5b9e\u73b0\u5bf9x\u8f74\u8303\u56f4\u7684\u63a7\u5236\u3002<\/p>\n<\/p>\n
\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/h4>\n<\/p>\n
\u901a\u8fc7\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u63a7\u5236\u56fe\u8868\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u5305\u62ecx\u8f74\u8303\u56f4\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
def custom_plot(x, y, x_min, x_max):<\/p>\n
    plt.plot(x, y)<\/p>\n
    plt.xlim(x_min, x_max)<\/p>\n
    plt.show()<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y = [i0.5 for i in x]<\/p>\n
\u4f7f\u7528\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/strong><\/h2>\n
custom_plot(x, y, 20, 80)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570custom_plot<\/code>\uff0c\u5b9e\u73b0\u4e86\u5bf9x\u8f74\u8303\u56f4\u7684\u7075\u6d3b\u63a7\u5236\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u9ad8\u5ea6\u5b9a\u5236\u5316\u7684\u7ed8\u56fe\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u52a8\u6001\u8c03\u6574\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/h4>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u52a8\u6001\u8c03\u6574\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570\u7684\u53c2\u6570\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
def custom_plot(x, y, x_min, x_max):<\/p>\n
    plt.plot(x, y)<\/p>\n
    plt.xlim(x_min, x_max)<\/p>\n
    plt.show()<\/p>\n
\u521b\u5efa\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [i for i in range(100)]<\/p>\n
y = [i0.5 for i in x]<\/p>\n
\u52a8\u6001\u8c03\u6574x\u8f74\u8303\u56f4<\/strong><\/h2>\n
x_min = 0<\/p>\n
x_max = 50<\/p>\n
if max(x) > 75:<\/p>\n
    x_max = 75<\/p>\n
\u4f7f\u7528\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570<\/strong><\/h2>\n
custom_plot(x, y, x_min, x_max)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u901a\u8fc7\u903b\u8f91\u5224\u65ad\u52a8\u6001\u8c03\u6574\u4e86\u81ea\u5b9a\u4e49\u7ed8\u56fe\u51fd\u6570\u7684\u53c2\u6570\u3002\u8fd9\u6837\u53ef\u4ee5\u786e\u4fdd\u56fe\u8868\u7684\u7075\u6d3b\u6027\u548c\u9002\u5e94\u6027\u3002<\/p>\n<\/p>\n
\u5341\u3001\u901a\u8fc7\u6570\u636e\u9884\u5904\u7406<\/h3>\n<\/p>\n
\u5728\u4e00\u4e9b\u6570\u636e\u5206\u6790\u548c\u5c55\u793a\u573a\u666f\u4e2d\uff0c\u6539\u53d8x\u8f74\u8303\u56f4\u7684\u9700\u6c42\u5b9e\u9645\u4e0a\u662f\u4e3a\u4e86\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u901a\u8fc7\u6570\u636e<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8c03\u6574Matplotlib\u56fe\u8868\u7684x\u8f74\u8303\u56f4\uff1f<\/strong>
\u5728\u4f7f\u7528Matplotlib\u7ed8\u5236\u56fe\u8868\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528xlim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6ex\u8f74\u7684\u8303\u56f4\u3002\u4f7f\u7528\u65b9\u6cd5\u4e3aplt.xlim(min_value, max_value)<\/code>\uff0c\u5176\u4e2dmin_value<\/code>\u548cmax_value<\/code>\u662f\u4f60\u5e0c\u671b\u8bbe\u5b9a\u7684x\u8f74\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u5c06x\u8f74\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523010\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a  <\/p>\n
import matplotlib.pyplot as plt\n\nplt.plot(x_data, y_data)\nplt.xlim(0, 10)\nplt.show()\n<\/code><\/pre>\n
\u5728\u4f7f\u7528Pandas\u65f6\uff0c\u5982\u4f55\u8c03\u6574\u56fe\u8868\u7684x\u8f74\u8303\u56f4\uff1f<\/strong>
\u5982\u679c\u4f60\u6b63\u5728\u4f7f\u7528Pandas\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u901a\u8fc7set_xlim()<\/code>\u65b9\u6cd5\u6765\u4fee\u6539x\u8f74\u8303\u56f4\u3002\u9996\u5148\uff0c\u521b\u5efa\u4e00\u4e2a\u56fe\u8868\u5bf9\u8c61\uff0c\u7136\u540e\u8c03\u7528\u8be5\u65b9\u6cd5\u8fdb\u884c\u8c03\u6574\u3002\u4f8b\u5982\uff1a  <\/p>\n
import pandas as pd\nimport matplotlib.pyplot as plt\n\ndf = pd.DataFrame({'x': range(10), 'y': range(10)})\nax = df.plot(x='x', y='y')\nax.set_xlim(2, 8)\nplt.show()\n<\/code><\/pre>\n
\u8fd9\u6837\u4f60\u5c31\u53ef\u4ee5\u8f7b\u677e\u5730\u8c03\u6574x\u8f74\u7684\u663e\u793a\u8303\u56f4\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u52a8\u6001\u6539\u53d8x\u8f74\u8303\u56f4\u4ee5\u9002\u5e94\u6570\u636e\u53d8\u5316\uff1f<\/strong>
\u5f53\u7136\u53ef\u4ee5\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528autoscale_view()<\/code>\u65b9\u6cd5\u6765\u81ea\u52a8\u8c03\u6574x\u8f74\u8303\u56f4\u4ee5\u9002\u5e94\u5f53\u524d\u6570\u636e\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6570\u636e\u5728\u4e0d\u65ad\u66f4\u65b0\uff0c\u53ef\u4ee5\u5728\u7ed8\u5236\u65b0\u6570\u636e\u540e\u8c03\u7528\u8be5\u65b9\u6cd5\u3002\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
plt.plot(x_data, y_data)\nplt.autoscale_view()\nplt.show()\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u786e\u4fdd\u4e86\u56fe\u8868\u59cb\u7ec8\u663e\u793a\u6700\u65b0\u7684\u6570\u636e\u8303\u56f4\uff0c\u65e0\u9700\u624b\u52a8\u8bbe\u7f6e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u6539\u53d8\u56fe\u8868\u7684x\u8f74\u8303\u56f4\u3002\u6700\u5e38\u89c1\u7684\u505a\u6cd5\u662f\u4f7f\u7528matplotlib\u5e93\u4e2d\u7684\u51fd\u6570\u3002\u901a\u8fc7 […]","protected":false},"author":3,"featured_media":1176580,"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\/1176572"}],"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=1176572"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1176572\/revisions"}],"predecessor-version":[{"id":1176583,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1176572\/revisions\/1176583"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1176580"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1176572"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1176572"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1176572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}