{"id":1124627,"date":"2025-01-08T19:43:27","date_gmt":"2025-01-08T11:43:27","guid":{"rendered":""},"modified":"2025-01-08T19:43:30","modified_gmt":"2025-01-08T11:43:30","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e6%8a%98%e7%ba%bf%e5%9b%be%e4%b8%8a%e7%94%bb%e6%a8%aa%e7%ba%bf%e5%af%b9%e6%af%94","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1124627.html","title":{"rendered":"\u5982\u4f55\u5728python\u6298\u7ebf\u56fe\u4e0a\u753b\u6a2a\u7ebf\u5bf9\u6bd4"},"content":{"rendered":"

\"\u5982\u4f55\u5728python\u6298\u7ebf\u56fe\u4e0a\u753b\u6a2a\u7ebf\u5bf9\u6bd4\"<\/p>\n

\u901a\u8fc7\u5728Python\u6298\u7ebf\u56fe\u4e0a\u753b\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7a81\u51fa\u7279\u5b9a\u6570\u503c\u6216\u533a\u95f4<\/strong>\u3001\u5e2e\u52a9\u5206\u6790\u6570\u636e\u53d8\u5316\u8d8b\u52bf<\/strong>\u3001\u589e\u5f3a\u6570\u636e\u53ef\u89c6\u5316\u6548\u679c<\/strong>\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5e76\u6dfb\u52a0\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u51c6\u5907\u6570\u636e\u548c\u73af\u5883<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u7ed8\u5236\u56fe\u5f62\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u51c6\u5907\u6570\u636e\u548c\u76f8\u5e94\u7684\u73af\u5883\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Matplotlib\u5e93\uff0c\u8fd9\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\u4e4b\u4e00\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff0c\u5e76\u51c6\u5907\u4e00\u4e9b\u793a\u4f8b\u6570\u636e\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
y = [2, 3, 5, 7, 11, 13, 17, 19, 23, 29]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u57fa\u672c\u6298\u7ebf\u56fe<\/h3>\n<\/p>\n
\u8981\u7ed8\u5236\u57fa\u672c\u7684\u6298\u7ebf\u56fe\uff0c\u6211\u4eec\u4f7f\u7528Matplotlib\u7684plot()<\/code>\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
plt.title('Basic Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528plot()<\/code>\u51fd\u6570\u7ed8\u5236\u4e86\u4e00\u4e2a\u6298\u7ebf\u56fe\uff0c\u5e76\u4f7f\u7528marker<\/code>\u53c2\u6570\u5728\u6570\u636e\u70b9\u4e0a\u6dfb\u52a0\u6807\u8bb0\u3002title()<\/code>\u3001xlabel()<\/code>\u548cylabel()<\/code>\u51fd\u6570\u5206\u522b\u8bbe\u7f6e\u56fe\u5f62\u7684\u6807\u9898\u548c\u8f74\u6807\u7b7e\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5728\u6298\u7ebf\u56fe\u4e0a\u6dfb\u52a0\u6a2a\u7ebf<\/h3>\n<\/p>\n
\u4e3a\u4e86\u5728\u6298\u7ebf\u56fe\u4e0a\u6dfb\u52a0\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528axhline()<\/code>\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u5141\u8bb8\u6211\u4eec\u5728\u7279\u5b9a\u7684y\u503c\u5904\u7ed8\u5236\u4e00\u6761\u6c34\u5e73\u7ebf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
plt.axhline(y=10, color='r', linestyle='--', linewidth=2)<\/p>\n
plt.title('Line Plot with Horizontal Line')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5728y=10\u7684\u4f4d\u7f6e\u6dfb\u52a0\u4e86\u4e00\u6761\u7ea2\u8272\u7684\u3001\u865a\u7ebf\u98ce\u683c\u7684\u6c34\u5e73\u7ebf\u3002color<\/code>\u53c2\u6570\u8bbe\u7f6e\u7ebf\u6761\u989c\u8272\uff0clinestyle<\/code>\u53c2\u6570\u8bbe\u7f6e\u7ebf\u6761\u98ce\u683c\uff0c\u800clinewidth<\/code>\u53c2\u6570\u5219\u63a7\u5236\u7ebf\u6761\u7684\u5bbd\u5ea6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528\u591a\u4e2a\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5728\u540c\u4e00\u5f20\u56fe\u4e2d\u6dfb\u52a0\u591a\u6761\u6a2a\u7ebf\uff0c\u4ee5\u4fbf\u8fdb\u884c\u66f4\u8be6\u7ec6\u7684\u5bf9\u6bd4\u5206\u6790\u3002\u6211\u4eec\u53ef\u4ee5\u591a\u6b21\u8c03\u7528axhline()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
plt.axhline(y=10, color='r', linestyle='--', linewidth=2)<\/p>\n
plt.axhline(y=20, color='g', linestyle='-.', linewidth=2)<\/p>\n
plt.axhline(y=25, color='b', linestyle=':', linewidth=2)<\/p>\n
plt.title('Line Plot with Multiple Horizontal Lines')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u6dfb\u52a0\u4e86\u4e09\u6761\u6c34\u5e73\u7ebf\uff0c\u5206\u522b\u4f4d\u4e8ey=10\u3001y=20\u548cy=25\u7684\u4f4d\u7f6e\uff0c\u5e76\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u548c\u98ce\u683c\u8fdb\u884c\u533a\u5206\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027<\/h3>\n<\/p>\n
\u4e3a\u4e86\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u56fe\u4f8b\u3001\u6ce8\u91ca\u548c\u5176\u4ed6\u89c6\u89c9\u5143\u7d20\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u589e\u5f3a\u6280\u5de7\uff1a<\/p>\n<\/p>\n
1. \u6dfb\u52a0\u56fe\u4f8b<\/h4>\n<\/p>\n
\u4f7f\u7528legend()<\/code>\u51fd\u6570\u53ef\u4ee5\u4e3a\u56fe\u5f62\u6dfb\u52a0\u56fe\u4f8b\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u89e3\u91ca\u56fe\u5f62\u4e2d\u7684\u5404\u4e2a\u5143\u7d20\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, marker='o', label='Data Line')<\/p>\n
plt.axhline(y=10, color='r', linestyle='--', linewidth=2, label='Threshold 10')<\/p>\n
plt.axhline(y=20, color='g', linestyle='-.', linewidth=2, label='Threshold 20')<\/p>\n
plt.axhline(y=25, color='b', linestyle=':', linewidth=2, label='Threshold 25')<\/p>\n
plt.title('Line Plot with Legend')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6dfb\u52a0\u6ce8\u91ca<\/h4>\n<\/p>\n
\u4f7f\u7528annotate()<\/code>\u51fd\u6570\u53ef\u4ee5\u5728\u56fe\u5f62\u4e0a\u6dfb\u52a0\u6ce8\u91ca\uff0c\u4ee5\u4fbf\u7a81\u51fa\u7279\u5b9a\u7684\u6570\u636e\u70b9\u6216\u533a\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, marker='o')<\/p>\n
plt.axhline(y=10, color='r', linestyle='--', linewidth=2)<\/p>\n
plt.axhline(y=20, color='g', linestyle='-.', linewidth=2)<\/p>\n
plt.axhline(y=25, color='b', linestyle=':', linewidth=2)<\/p>\n
plt.title('Line Plot with Annotations')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u6dfb\u52a0\u6ce8\u91ca<\/strong><\/h2>\n
plt.annotate('Threshold 10', xy=(1, 10), xytext=(2, 15),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.annotate('Threshold 20', xy=(1, 20), xytext=(2, 25),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.annotate('Threshold 25', xy=(1, 25), xytext=(2, 30),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5728\u6bcf\u6761\u6c34\u5e73\u7ebf\u9644\u8fd1\u6dfb\u52a0\u4e86\u6ce8\u91ca\uff0c\u5e76\u4f7f\u7528\u7bad\u5934\u6307\u5411\u7ebf\u6761\u7684\u4f4d\u7f6e\u3002annotate()<\/code>\u51fd\u6570\u7684xy<\/code>\u53c2\u6570\u6307\u5b9a\u6ce8\u91ca\u6307\u5411\u7684\u4f4d\u7f6e\uff0c\u800cxytext<\/code>\u53c2\u6570\u5219\u6307\u5b9a\u6ce8\u91ca\u6587\u672c\u7684\u4f4d\u7f6e\u3002<\/p>\n<\/p>\n
\u516d\u3001\u6848\u4f8b\u5206\u6790\uff1a\u5728\u5b9e\u9645\u6570\u636e\u4e2d\u5e94\u7528<\/h3>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728\u5b9e\u9645\u6570\u636e\u4e2d\u5e94\u7528\u8fd9\u4e9b\u6280\u5de7\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u5177\u4f53\u7684\u6848\u4f8b\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u80a1\u7968\u4ef7\u683c\u6570\u636e\u6765\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5e76\u6dfb\u52a0\u6c34\u5e73\u7ebf\u8fdb\u884c\u5bf9\u6bd4\u5206\u6790\u3002<\/p>\n<\/p>\n
1. \u51c6\u5907\u6570\u636e<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u4ece\u67d0\u4e2a\u6570\u636e\u6e90\u83b7\u53d6\u80a1\u7968\u4ef7\u683c\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u4f7f\u7528Pandas\u5e93\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6\u80a1\u7968\u4ef7\u683c\u6570\u636e<\/strong><\/h2>\n
data = pd.read_csv('stock_prices.csv')<\/p>\n
dates = pd.to_datetime(data['Date'])<\/p>\n
prices = data['Close']<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u7ed8\u5236\u6298\u7ebf\u56fe\u548c\u6dfb\u52a0\u6c34\u5e73\u7ebf<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5e76\u6dfb\u52a0\u6c34\u5e73\u7ebf\u8fdb\u884c\u5bf9\u6bd4\u5206\u6790\uff1a<\/p>\n<\/p>\n
plt.plot(dates, prices, marker='o', label='Stock Prices')<\/p>\n
plt.axhline(y=100, color='r', linestyle='--', linewidth=2, label='Threshold 100')<\/p>\n
plt.axhline(y=150, color='g', linestyle='-.', linewidth=2, label='Threshold 150')<\/p>\n
plt.axhline(y=200, color='b', linestyle=':', linewidth=2, label='Threshold 200')<\/p>\n
plt.title('Stock Prices with Thresholds')<\/p>\n
plt.xlabel('Date')<\/p>\n
plt.ylabel('Price')<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u6dfb\u52a0\u6ce8\u91ca\u548c\u5176\u4ed6\u89c6\u89c9\u5143\u7d20<\/h4>\n<\/p>\n
\u4e3a\u4e86\u589e\u5f3a\u56fe\u5f62\u7684\u53ef\u8bfb\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u6dfb\u52a0\u6ce8\u91ca\u548c\u5176\u4ed6\u89c6\u89c9\u5143\u7d20\uff1a<\/p>\n<\/p>\n
plt.plot(dates, prices, marker='o', label='Stock Prices')<\/p>\n
plt.axhline(y=100, color='r', linestyle='--', linewidth=2, label='Threshold 100')<\/p>\n
plt.axhline(y=150, color='g', linestyle='-.', linewidth=2, label='Threshold 150')<\/p>\n
plt.axhline(y=200, color='b', linestyle=':', linewidth=2, label='Threshold 200')<\/p>\n
plt.title('Stock Prices with Annotations')<\/p>\n
plt.xlabel('Date')<\/p>\n
plt.ylabel('Price')<\/p>\n
plt.legend()<\/p>\n
\u6dfb\u52a0\u6ce8\u91ca<\/strong><\/h2>\n
plt.annotate('Threshold 100', xy=(dates[50], 100), xytext=(dates[60], 110),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.annotate('Threshold 150', xy=(dates[50], 150), xytext=(dates[60], 160),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.annotate('Threshold 200', xy=(dates[50], 200), xytext=(dates[60], 210),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u6dfb\u52a0\u6ce8\u91ca\u548c\u56fe\u4f8b\uff0c\u4f7f\u56fe\u5f62\u66f4\u52a0\u6e05\u6670\u6613\u61c2\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u8bb2\u89e3\u4e86\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u6298\u7ebf\u56fe\uff0c\u5e76\u6dfb\u52a0\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\u3002\u9996\u5148\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u5982\u4f55\u51c6\u5907\u6570\u636e\u548c\u73af\u5883\uff0c\u7136\u540e\u5c55\u793a\u4e86\u7ed8\u5236\u57fa\u672c\u6298\u7ebf\u56fe\u548c\u6dfb\u52a0\u6a2a\u7ebf\u7684\u57fa\u672c\u65b9\u6cd5\u3002\u63a5\u7740\uff0c\u6211\u4eec\u8ba8\u8bba\u4e86\u5982\u4f55\u4f7f\u7528\u591a\u4e2a\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\uff0c\u5e76\u4ecb\u7ecd\u4e86\u589e\u5f3a\u56fe\u5f62\u53ef\u8bfb\u6027\u7684\u4e00\u4e9b\u6280\u5de7\u3002\u6700\u540e\uff0c\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u6570\u636e\u7684\u6848\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u6280\u5de7\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\uff0c\u60a8\u53ef\u4ee5\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u66f4\u52a0\u6709\u6548\u5730\u5206\u6790\u548c\u5c55\u793a\u6570\u636e\u53d8\u5316\u8d8b\u52bf\uff0c\u5e2e\u52a9\u60a8\u505a\u51fa\u66f4\u52a0\u51c6\u786e\u7684\u51b3\u7b56\u3002\u65e0\u8bba\u662f\u5728\u5b66\u672f\u7814\u7a76\u3001\u5546\u4e1a\u5206\u6790\u8fd8\u662f\u65e5\u5e38\u5de5\u4f5c\u4e2d\uff0c\u8fd9\u4e9b\u6280\u5de7\u90fd\u5c06\u662f\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u6298\u7ebf\u56fe\u5e76\u6dfb\u52a0\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u6298\u7ebf\u56fe\u5e76\u6dfb\u52a0\u6a2a\u7ebf\u3002\u60a8\u9700\u8981\u5148\u5b89\u88c5Matplotlib\u5e93\uff0c\u7136\u540e\u4f7f\u7528plt.axhline()<\/code>\u51fd\u6570\u7ed8\u5236\u6c34\u5e73\u7ebf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n
import matplotlib.pyplot as plt\n\n# \u793a\u4f8b\u6570\u636e\nx = [1, 2, 3, 4, 5]\ny = [2, 3, 5, 1, 4]\n\n# \u7ed8\u5236\u6298\u7ebf\u56fe\nplt.plot(x, y, label='\u6570\u636e\u7ebf')\n\n# \u6dfb\u52a0\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\nplt.axhline(y=3, color='r', linestyle='--', label='\u5bf9\u6bd4\u7ebf')\n\n# \u6dfb\u52a0\u56fe\u4f8b\u548c\u6807\u9898\nplt.legend()\nplt.title('\u6298\u7ebf\u56fe\u4e0e\u5bf9\u6bd4\u7ebf')\nplt.xlabel('X\u8f74')\nplt.ylabel('Y\u8f74')\n\n# \u663e\u793a\u56fe\u5f62\nplt.show()\n<\/code><\/pre>\n
\u53ef\u4ee5\u5728\u6298\u7ebf\u56fe\u4e0a\u6dfb\u52a0\u591a\u6761\u6a2a\u7ebf\u5417\uff1f<\/strong>
\u662f\u7684\uff0c\u53ef\u4ee5\u5728\u540c\u4e00\u56fe\u8868\u4e2d\u6dfb\u52a0\u591a\u6761\u6a2a\u7ebf\u3002\u53ea\u9700\u591a\u6b21\u8c03\u7528plt.axhline()<\/code>\u51fd\u6570\uff0c\u6307\u5b9a\u4e0d\u540c\u7684y\u503c\u3001\u989c\u8272\u548c\u7ebf\u578b\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u6dfb\u52a0\u4e00\u6761\u7528\u4e8e\u663e\u793a\u76ee\u6807\u503c\u7684\u6a2a\u7ebf\uff0c\u53e6\u4e00\u6761\u7528\u4e8e\u663e\u793a\u5e73\u5747\u503c\u3002<\/p>\n
\u5982\u4f55\u5b9a\u5236\u6a2a\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1f<\/strong>
\u6a2a\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\u53ef\u4ee5\u901a\u8fc7color<\/code>\u548clinestyle<\/code>\u53c2\u6570\u8fdb\u884c\u5b9a\u5236\u3002\u5e38\u89c1\u7684\u7ebf\u578b\u6709\u5b9e\u7ebf\uff08'-'<\/code>\uff09\u3001\u865a\u7ebf\uff08'--'<\/code>\uff09\u3001\u70b9\u7ebf\uff08':'<\/code>\uff09\u7b49\u3002\u60a8\u53ef\u4ee5\u9009\u62e9\u81ea\u5df1\u559c\u6b22\u7684\u989c\u8272\uff0c\u4f8b\u5982'blue'<\/code>\u3001'green'<\/code>\u6216'#FF5733'<\/code>\u7b49\uff0c\u4ee5\u4f7f\u56fe\u8868\u66f4\u5177\u89c6\u89c9\u6548\u679c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u901a\u8fc7\u5728Python\u6298\u7ebf\u56fe\u4e0a\u753b\u6a2a\u7ebf\u8fdb\u884c\u5bf9\u6bd4\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u7a81\u51fa\u7279\u5b9a\u6570\u503c\u6216\u533a\u95f4\u3001\u5e2e\u52a9\u5206\u6790\u6570\u636e\u53d8\u5316\u8d8b\u52bf\u3001\u589e\u5f3a\u6570\u636e\u53ef\u89c6\u5316\u6548 […]","protected":false},"author":3,"featured_media":1124640,"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\/1124627"}],"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=1124627"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1124627\/revisions"}],"predecessor-version":[{"id":1124642,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1124627\/revisions\/1124642"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1124640"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1124627"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1124627"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1124627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}