{"id":1129201,"date":"2025-01-08T20:27:29","date_gmt":"2025-01-08T12:27:29","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1129201.html"},"modified":"2025-01-08T20:27:31","modified_gmt":"2025-01-08T12:27:31","slug":"python%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e5%af%b9%e5%9b%be%e7%89%87%e5%86%85%e7%9a%84%e7%ba%bf%e5%81%9a%e6%a0%87%e6%b3%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1129201.html","title":{"rendered":"python\u753b\u56fe\u5982\u4f55\u5bf9\u56fe\u7247\u5185\u7684\u7ebf\u505a\u6807\u6ce8"},"content":{"rendered":"

\"python\u753b\u56fe\u5982\u4f55\u5bf9\u56fe\u7247\u5185\u7684\u7ebf\u505a\u6807\u6ce8\"<\/p>\n

\u5728Python\u4e2d\uff0c\u753b\u56fe\u5e76\u5bf9\u56fe\u7247\u5185\u7684\u7ebf\u8fdb\u884c\u6807\u6ce8\uff0c\u53ef\u4ee5\u4f7f\u7528\u7684\u5e93\u6709Matplotlib\u3001Seaborn\u3001Plotly\u7b49\u3002<\/strong>\u5176\u4e2d\uff0cMatplotlib\u662f\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Matplotlib\u6765\u5bf9\u56fe\u7247\u5185\u7684\u7ebf\u8fdb\u884c\u6807\u6ce8\u3002<\/p>\n<\/p>\n

\u4e00\u3001MATPLOTLIB\u6982\u8ff0<\/strong><\/h2>\n

Matplotlib \u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u52a8\u753b\u548c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7684Python\u5e93\u3002\u5b83\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u9002\u7528\u4e8e\u4ece\u7b80\u5355\u7684\u4e8c\u7ef4\u56fe\u8868\u5230\u590d\u6742\u7684\u4e09\u7ef4\u56fe\u5f62\u3002\u5176\u4e3b\u8981\u529f\u80fd\u5305\u62ec\u7ed8\u5236\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5b9a\u5236\u5316\u9009\u9879\u3002<\/p>\n<\/p>\n

\u5b89\u88c5Matplotlib<\/h2>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\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
\u5bfc\u5165Matplotlib<\/h2>\n<\/p>\n
\u5728\u5f00\u59cb\u7ed8\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u5bfc\u5165Matplotlib\u5e93\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u4f1a\u5bfc\u5165 pyplot<\/code> \u6a21\u5757\uff0c\u5e76\u4f7f\u7528 plt<\/code> \u4f5c\u4e3a\u522b\u540d\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u7ed8\u5236\u57fa\u672c\u56fe\u5f62<\/strong><\/h2>\n
\u5728\u8fdb\u884c\u6807\u6ce8\u4e4b\u524d\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u7ed8\u5236\u4e00\u4e2a\u57fa\u672c\u56fe\u5f62\u3002\u8fd9\u91cc\u4ee5\u6298\u7ebf\u56fe\u4e3a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5bf9\u7ebf\u8fdb\u884c\u6807\u6ce8<\/strong><\/h2>\n
\u5728Matplotlib\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5bf9\u56fe\u7247\u5185\u7684\u7ebf\u8fdb\u884c\u6807\u6ce8\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528 annotate<\/code> \u51fd\u6570\u548c text<\/code> \u51fd\u6570\u3002<\/p>\n<\/p>\n
\u4f7f\u7528 annotate<\/code> \u51fd\u6570<\/h2>\n<\/p>\n
annotate<\/code> \u51fd\u6570\u53ef\u4ee5\u5728\u56fe\u5f62\u4e0a\u6dfb\u52a0\u6ce8\u91ca\uff0c\u901a\u5e38\u7528\u4e8e\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9<\/strong><\/h2>\n
for i in range(len(x)):<\/p>\n
    plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]))<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 annotate<\/code> \u51fd\u6570\u5bf9\u6bcf\u4e2a\u6570\u636e\u70b9\u8fdb\u884c\u4e86\u6807\u6ce8\uff0c\u6807\u6ce8\u5185\u5bb9\u4e3a\u6570\u636e\u70b9\u7684\u5750\u6807\u3002<\/p>\n<\/p>\n
\u4f7f\u7528 text<\/code> \u51fd\u6570<\/h2>\n<\/p>\n
text<\/code> \u51fd\u6570\u7528\u4e8e\u5728\u6307\u5b9a\u7684\u4f4d\u7f6e\u6dfb\u52a0\u6587\u672c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u5728\u56fe\u5f62\u4e0a\u6dfb\u52a0\u6587\u672c<\/strong><\/h2>\n
plt.text(3, 5, 'Mid Point', fontsize=12, color='red')<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 text<\/code> \u51fd\u6570\u5728\u5750\u6807 (3, 5) \u5904\u6dfb\u52a0\u4e86\u6587\u672c "Mid Point"\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8fdb\u4e00\u6b65\u7684\u5b9a\u5236\u5316<\/strong><\/h2>\n
\u8bbe\u7f6e\u6807\u6ce8\u6837\u5f0f<\/h2>\n<\/p>\n
\u5728\u4f7f\u7528 annotate<\/code> \u548c text<\/code> \u51fd\u6570\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u6807\u6ce8\u7684\u6837\u5f0f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u3001\u5bf9\u9f50\u65b9\u5f0f\u7b49\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9\u5e76\u8bbe\u7f6e\u6837\u5f0f<\/strong><\/h2>\n
for i in range(len(x)):<\/p>\n
    plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]), textcoords="offset points", xytext=(0,10), ha='center', fontsize=10, color='blue')<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 textcoords<\/code> \u53c2\u6570\u6307\u5b9a\u4e86\u6807\u6ce8\u6587\u672c\u7684\u4f4d\u7f6e\u504f\u79fb\uff0c\u4f7f\u7528 fontsize<\/code> \u548c color<\/code> \u53c2\u6570\u8bbe\u7f6e\u4e86\u6587\u672c\u7684\u5b57\u4f53\u5927\u5c0f\u548c\u989c\u8272\u3002<\/p>\n<\/p>\n
\u6dfb\u52a0\u7bad\u5934<\/h2>\n<\/p>\n
\u5728\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u7bad\u5934\u6765\u6307\u793a\u6807\u6ce8\u5185\u5bb9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y, label='Prime Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9\u5e76\u6dfb\u52a0\u7bad\u5934<\/strong><\/h2>\n
plt.annotate('Prime number 5', xy=(3, 5), xytext=(4, 4),<\/p>\n
             arrowprops=dict(facecolor='black', shrink=0.05))<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 arrowprops<\/code> \u53c2\u6570\u4e3a\u6807\u6ce8\u6dfb\u52a0\u4e86\u4e00\u4e2a\u9ed1\u8272\u7684\u7bad\u5934\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u591a\u4e2a\u7ebf\u6761\u6807\u6ce8<\/strong><\/h2>\n
\u5982\u679c\u56fe\u5f62\u4e2d\u5305\u542b\u591a\u6761\u7ebf\u6761\uff0c\u53ef\u4ee5\u5206\u522b\u5bf9\u6bcf\u6761\u7ebf\u6761\u8fdb\u884c\u6807\u6ce8\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y1 = [2, 3, 5, 7, 11]<\/p>\n
y2 = [1, 4, 6, 8, 10]<\/p>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
plt.plot(x, y1, label='Prime Numbers')<\/p>\n
plt.plot(x, y2, label='Even Numbers')<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime and Even Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u6807\u6ce8\u7279\u5b9a\u7684\u6570\u636e\u70b9<\/strong><\/h2>\n
for i in range(len(x)):<\/p>\n
    plt.annotate(f'({x[i]}, {y1[i]})', (x[i], y1[i]), textcoords="offset points", xytext=(0,10), ha='center', fontsize=10, color='blue')<\/p>\n
    plt.annotate(f'({x[i]}, {y2[i]})', (x[i], y2[i]), textcoords="offset points", xytext=(0,10), ha='center', fontsize=10, color='green')<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5bf9\u4e24\u6761\u4e0d\u540c\u7684\u7ebf\u6761\u5206\u522b\u8fdb\u884c\u4e86\u6807\u6ce8\uff0c\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u533a\u5206\u6807\u6ce8\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u516d\u3001\u52a8\u6001\u66f4\u65b0\u6807\u6ce8<\/strong><\/h2>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u52a8\u6001\u66f4\u65b0\u56fe\u5f62\u4e2d\u7684\u6807\u6ce8\u3002\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684\u52a8\u753b\u529f\u80fd\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.animation as animation<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
fig, ax = plt.subplots()<\/p>\n
line, = ax.plot(x, y, label='Prime Numbers')<\/p>\n
annotation = ax.annotate('', xy=(0, 0), textcoords="offset points", xytext=(0,10), ha='center', fontsize=10, color='blue')<\/p>\n
def update(num):<\/p>\n
    line.set_data(x[:num], y[:num])<\/p>\n
    annotation.set_text(f'({x[num-1]}, {y[num-1]})')<\/p>\n
    annotation.xy = (x[num-1], y[num-1])<\/p>\n
ani = animation.FuncAnimation(fig, update, frames=len(x), interval=1000)<\/p>\n
\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e<\/strong><\/h2>\n
plt.title('Prime Numbers Line Plot')<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
\u663e\u793a\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528 animation.FuncAnimation<\/code> \u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a\u52a8\u753b\uff0c\u5728\u6bcf\u4e00\u5e27\u4e2d\u66f4\u65b0\u7ebf\u6761\u548c\u6807\u6ce8\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/strong><\/h2>\n
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Matplotlib<\/strong> \u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u4e14\u7075\u6d3b\u7684\u7ed8\u56fe\u5e93\uff0c\u901a\u8fc7\u638c\u63e1\u5176\u57fa\u672c\u7528\u6cd5\u548c\u9ad8\u7ea7\u6280\u5de7\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\u5b9e\u73b0\u66f4\u52a0\u4e13\u4e1a\u548c\u7f8e\u89c2\u7684\u56fe\u5f62\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u80fd\u591f\u5728\u4f60\u7684\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u4f5c\u4e2d\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u53c2\u8003\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u7ed8\u5236\u7684\u56fe\u4e2d\u6dfb\u52a0\u6587\u672c\u6807\u6ce8\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u6dfb\u52a0\u6587\u672c\u6807\u6ce8\u3002\u901a\u8fc7\u4f7f\u7528plt.text()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5728\u6307\u5b9a\u7684\u5750\u6807\u5904\u6dfb\u52a0\u6587\u672c\u3002\u53ef\u4ee5\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\u3001\u989c\u8272\u4ee5\u53ca\u5bf9\u9f50\u65b9\u5f0f\u7b49\uff0c\u786e\u4fdd\u6807\u6ce8\u6e05\u6670\u53ef\u8bfb\u3002<\/p>\n
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