{"id":1168129,"date":"2025-01-15T15:54:19","date_gmt":"2025-01-15T07:54:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1168129.html"},"modified":"2025-01-15T15:54:23","modified_gmt":"2025-01-15T07:54:23","slug":"python%e4%b8%ad%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e5%ae%9a%e5%9d%90%e6%a0%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1168129.html","title":{"rendered":"python\u4e2d\u753b\u56fe\u5982\u4f55\u5b9a\u5750\u6807"},"content":{"rendered":"

\"python\u4e2d\u753b\u56fe\u5982\u4f55\u5b9a\u5750\u6807\"<\/p>\n

\u5728Python\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u8bbe\u7f6e\u5750\u6807\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u5e93\u662fMatplotlib\u3002\u4f7f\u7528Matplotlib\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u521b\u5efa\u56fe\u5f62\u3001\u8bbe\u7f6e\u5750\u6807\u8f74\u3001\u6807\u7b7e\u3001\u6807\u9898\u7b49<\/strong>\u3002\u63a5\u4e0b\u6765\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Matplotlib\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u5b9a\u5236\u5750\u6807\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5Matplotlib<\/h2>\n<\/p>\n

\u5728\u5f00\u59cb\u7ed8\u56fe\u4e4b\u524d\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u5c1a\u672a\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
\u4e8c\u3001\u57fa\u672c\u7ed8\u56fe\u548c\u8bbe\u7f6e\u5750\u6807<\/h2>\n<\/p>\n
1\u3001\u57fa\u672c\u7ed8\u56fe<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u6765\u770b\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff0c\u7ed8\u5236\u4e00\u4e2a\u57fa\u672c\u7684\u6298\u7ebf\u56fe\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\u56fe<\/strong><\/h2>\n
plt.plot(x, y)<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/h3>\n<\/p>\n
\u4e3a\u4e86\u8bbe\u7f6e\u5750\u6807\u8f74\u7684\u8303\u56f4\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 12)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u5230\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 12)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/h3>\n<\/p>\n
\u4e3a\u4e86\u8ba9\u56fe\u5f62\u66f4\u52a0\u6613\u61c2\uff0c\u6211\u4eec\u901a\u5e38\u4f1a\u6dfb\u52a0\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xlabel()<\/code>\u3001plt.ylabel()<\/code>\u548cplt.title()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u6807\u9898')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u5230\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 12)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/strong><\/h2>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u6807\u9898')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u8bbe\u7f6e\u523b\u5ea6\u548c\u7f51\u683c<\/h2>\n<\/p>\n
1\u3001\u8bbe\u7f6e\u523b\u5ea6<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.xticks()<\/code>\u548cplt.yticks()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5750\u6807\u8f74\u523b\u5ea6\uff1a<\/p>\n<\/p>\n
plt.xticks([0, 1, 2, 3, 4, 5, 6])<\/p>\n
plt.yticks([0, 2, 4, 6, 8, 10, 12])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u5230\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 12)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/strong><\/h2>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u6807\u9898')<\/p>\n
\u8bbe\u7f6e\u523b\u5ea6<\/strong><\/h2>\n
plt.xticks([0, 1, 2, 3, 4, 5, 6])<\/p>\n
plt.yticks([0, 2, 4, 6, 8, 10, 12])<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6dfb\u52a0\u7f51\u683c<\/h3>\n<\/p>\n
\u4f7f\u7528plt.grid()<\/code>\u51fd\u6570\u53ef\u4ee5\u6dfb\u52a0\u7f51\u683c\uff1a<\/p>\n<\/p>\n
plt.grid(True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u5230\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.plot(x, y)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(0, 6)<\/p>\n
plt.ylim(0, 12)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8f74\u6807\u7b7e\u548c\u6807\u9898<\/strong><\/h2>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u6807\u9898')<\/p>\n
\u8bbe\u7f6e\u523b\u5ea6<\/strong><\/h2>\n
plt.xticks([0, 1, 2, 3, 4, 5, 6])<\/p>\n
plt.yticks([0, 2, 4, 6, 8, 10, 12])<\/p>\n
\u6dfb\u52a0\u7f51\u683c<\/strong><\/h2>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5b50\u56fe\u4e0e\u591a\u56fe\u7ed8\u5236<\/h2>\n<\/p>\n
1\u3001\u7ed8\u5236\u5b50\u56fe<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\u6211\u4eec\u9700\u8981\u5728\u540c\u4e00\u4e2a\u753b\u5e03\u4e0a\u7ed8\u5236\u591a\u4e2a\u5b50\u56fe\uff0c\u53ef\u4ee5\u4f7f\u7528plt.subplot()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y1 = [2, 3, 5, 7, 11]<\/p>\n
y2 = [1, 4, 9, 16, 25]<\/p>\n
plt.subplot(2, 1, 1)  # 2\u884c1\u5217\uff0c\u7b2c\u4e00\u5f20\u56fe<\/p>\n
plt.plot(x, y1)<\/p>\n
plt.title('\u5b50\u56fe1')<\/p>\n
plt.subplot(2, 1, 2)  # 2\u884c1\u5217\uff0c\u7b2c\u4e8c\u5f20\u56fe<\/p>\n
plt.plot(x, y2)<\/p>\n
plt.title('\u5b50\u56fe2')<\/p>\n
plt.tight_layout()  # \u81ea\u52a8\u8c03\u6574\u5b50\u56fe\u95f4\u8ddd<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5728\u4e00\u4e2a\u56fe\u4e2d\u7ed8\u5236\u591a\u6761\u7ebf<\/h3>\n<\/p>\n
\u53ef\u4ee5\u5728\u4e00\u4e2a\u56fe\u4e2d\u7ed8\u5236\u591a\u6761\u7ebf\uff0c\u53ea\u9700\u8981\u591a\u6b21\u8c03\u7528plt.plot()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y1 = [2, 3, 5, 7, 11]<\/p>\n
y2 = [1, 4, 9, 16, 25]<\/p>\n
plt.plot(x, y1, label='\u7ebf1')<\/p>\n
plt.plot(x, y2, label='\u7ebf2')<\/p>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u591a\u6761\u7ebf\u7684\u56fe')<\/p>\n
\u6dfb\u52a0\u56fe\u4f8b<\/strong><\/h2>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5176\u4ed6\u56fe\u5f62\u7c7b\u578b<\/h2>\n<\/p>\n
1\u3001\u6563\u70b9\u56fe<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.scatter()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u6563\u70b9\u56fe\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.scatter(x, y)<\/p>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u6563\u70b9\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u67f1\u72b6\u56fe<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.bar()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u67f1\u72b6\u56fe\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = ['A', 'B', 'C', 'D', 'E']<\/p>\n
y = [2, 3, 5, 7, 11]<\/p>\n
plt.bar(x, y)<\/p>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u67f1\u72b6\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u76f4\u65b9\u56fe<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.hist()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u76f4\u65b9\u56fe\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5]<\/p>\n
plt.hist(data, bins=5)<\/p>\n
plt.xlabel('X\u8f74\u6807\u7b7e')<\/p>\n
plt.ylabel('Y\u8f74\u6807\u7b7e')<\/p>\n
plt.title('\u76f4\u65b9\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u997c\u56fe<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.pie()<\/code>\u51fd\u6570\u6765\u7ed8\u5236\u997c\u56fe\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
labels = ['A', 'B', 'C', 'D']<\/p>\n
sizes = [15, 30, 45, 10]<\/p>\n
colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue']<\/p>\n
explode = (0.1, 0, 0, 0)  # \u7a81\u51fa\u663e\u793a\u7b2c\u4e00\u5757<\/p>\n
plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)<\/p>\n
plt.title('\u997c\u56fe')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b9a\u5236\u5316\u7ed8\u56fe<\/h2>\n<\/p>\n
1\u3001\u81ea\u5b9a\u4e49\u989c\u8272\u548c\u6837\u5f0f<\/h3>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7color<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u989c\u8272\uff0c\u901a\u8fc7linestyle<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u7ebf\u6761\u6837\u5f0f\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, color='red', linestyle='--')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6e\u56fe\u5f62\u5927\u5c0f<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.figure()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u5927\u5c0f\uff1a<\/p>\n<\/p>\n
plt.figure(figsize=(10, 6))<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fdd\u5b58\u56fe\u5f62<\/h3>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.savefig()<\/code>\u51fd\u6570\u6765\u4fdd\u5b58\u56fe\u5f62\uff1a<\/p>\n<\/p>\n
plt.savefig('filename.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u4f60\u5df2\u7ecf\u638c\u63e1\u4e86\u4f7f\u7528Matplotlib\u8fdb\u884c\u7ed8\u56fe\u5e76\u8bbe\u7f6e\u5750\u6807\u7684\u57fa\u672c\u65b9\u6cd5<\/strong>\u3002\u65e0\u8bba\u662f\u57fa\u672c\u7684\u6298\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u76f4\u65b9\u56fe\u8fd8\u662f\u997c\u56fe\uff0cMatplotlib\u90fd\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u529f\u80fd\u6765\u6ee1\u8db3\u4f60\u7684\u9700\u6c42\u3002\u6b64\u5916\uff0c\u4f60\u8fd8\u53ef\u4ee5\u901a\u8fc7\u81ea\u5b9a\u4e49\u989c\u8272\u3001\u6837\u5f0f\u3001\u6807\u7b7e\u3001\u6807\u9898\u3001\u523b\u5ea6\u3001\u7f51\u683c\u7b49\u6765\u5b9a\u5236\u56fe\u5f62\uff0c\u4f7f\u5176\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff0c\u795d\u4f60\u5728\u6570\u636e\u53ef\u89c6\u5316\u7684\u9053\u8def\u4e0a\u53d6\u5f97\u66f4\u591a\u7684\u8fdb\u6b65\uff01<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bbe\u7f6e\u56fe\u5f62\u7684\u5750\u6807\u8303\u56f4\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4f7f\u7528Matplotlib\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bbe\u7f6e\u56fe\u5f62\u7684\u5750\u6807\u8303\u56f4\u3002\u53ef\u4ee5\u4f7f\u7528plt.xlim()<\/code>\u548cplt.ylim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u8303\u56f4\u3002\u4f8b\u5982\uff0cplt.xlim(0, 10)<\/code>\u4f1a\u5c06x\u8f74\u7684\u8303\u56f4\u8bbe\u5b9a\u4e3a0\u523010\uff0c\u800cplt.ylim(-5, 5)<\/code>\u5219\u8bbe\u7f6ey\u8f74\u7684\u8303\u56f4\u4e3a-5\u52305\u3002\u901a\u8fc7\u8fd9\u4e9b\u51fd\u6570\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u5f62\u5728\u5408\u9002\u7684\u8303\u56f4\u5185\u663e\u793a\u6570\u636e\u3002<\/p>\n
\u5728Python\u7ed8\u56fe\u65f6\uff0c\u5982\u4f55\u8c03\u6574\u5750\u6807\u8f74\u7684\u523b\u5ea6\uff1f<\/strong>
\u8981\u8c03\u6574\u5750\u6807\u8f74\u7684\u523b\u5ea6\uff0c\u53ef\u4ee5\u4f7f\u7528plt.xticks()<\/code>\u548cplt.yticks()<\/code>\u51fd\u6570\u3002\u8fd9\u4e9b\u51fd\u6570\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u523b\u5ea6\u7684\u4f4d\u7f6e\u548c\u6807\u7b7e\u3002\u4f8b\u5982\uff0cplt.xticks([0, 2, 4, 6, 8, 10], ['\u96f6', '\u4e8c', '\u56db', '\u516d', '\u516b', '\u5341'])<\/code>\u53ef\u4ee5\u8bbe\u7f6ex\u8f74\u7684\u523b\u5ea6\u4e3a0, 2, 4, 6, 8, 10\uff0c\u5e76\u5c06\u5176\u6807\u7b7e\u66ff\u6362\u4e3a\u4e2d\u6587\u6570\u5b57\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n
\u5982\u4f55\u5728Python\u56fe\u8868\u4e2d\u6dfb\u52a0\u7f51\u683c\u7ebf\u4ee5\u589e\u5f3a\u53ef\u8bfb\u6027\uff1f<\/strong>
\u5728Python\u7684Matplotlib\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528plt.grid()<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u7f51\u683c\u7ebf\u3002\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u7f51\u683c\u7ebf\u7684\u6837\u5f0f\u548c\u900f\u660e\u5ea6\u3002\u4f8b\u5982\uff0cplt.grid(color='gray', linestyle='--', linewidth=0.5, alpha=0.5)<\/code>\u53ef\u4ee5\u4f7f\u7f51\u683c\u7ebf\u4e3a\u7070\u8272\u3001\u865a\u7ebf\u5f62\u5f0f\uff0c\u5e76\u8bbe\u7f6e\u900f\u660e\u5ea6\u4e3a0.5\u3002\u6dfb\u52a0\u7f51\u683c\u7ebf\u540e\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u56fe\u8868\u7684\u6570\u636e\u53ef\u8bfb\u6027\uff0c\u4f7f\u5f97\u89c2\u5bdf\u8d8b\u52bf\u548c\u6570\u503c\u53d8\u5f97\u66f4\u52a0\u76f4\u89c2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u8bbe\u7f6e\u5750\u6807\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u5e93\u662fMatplotlib\u3002\u4f7f\u7528Matplo […]","protected":false},"author":3,"featured_media":1168145,"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\/1168129"}],"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=1168129"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168129\/revisions"}],"predecessor-version":[{"id":1168151,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168129\/revisions\/1168151"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1168145"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1168129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1168129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1168129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}