{"id":1117742,"date":"2025-01-08T18:28:53","date_gmt":"2025-01-08T10:28:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1117742.html"},"modified":"2025-01-08T18:28:56","modified_gmt":"2025-01-08T10:28:56","slug":"python%e5%a6%82%e4%bd%95%e8%a1%a8%e7%8e%b0%e7%99%be%e5%88%86%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1117742.html","title":{"rendered":"python\u5982\u4f55\u8868\u73b0\u767e\u5206\u6570"},"content":{"rendered":"

\"python\u5982\u4f55\u8868\u73b0\u767e\u5206\u6570\"<\/p>\n

Python\u4e2d\u8868\u73b0\u767e\u5206\u6570\u7684\u591a\u79cd\u65b9\u6cd5<\/strong>\u5305\u62ec\uff1a\u4f7f\u7528\u767e\u5206\u53f7\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3001\u4f7f\u7528f\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3001\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570\u3001\u4f7f\u7528Python\u6807\u51c6\u5e93\u4e2d\u7684decimal\u6a21\u5757\u3002\u4ee5\u4e0b\u662f\u5173\u4e8e\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u7684\u8be6\u7ec6\u4ecb\u7ecd\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u767e\u5206\u53f7\u683c\u5f0f\u5316\u5b57\u7b26\u4e32<\/h3>\n<\/p>\n

Python\u4e2d\u6700\u5e38\u89c1\u7684\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u7684\u65b9\u6cd5\u662f\u4f7f\u7528\u767e\u5206\u53f7\uff08%\uff09\u64cd\u4f5c\u7b26\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\u4e14\u6613\u4e8e\u7406\u89e3\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5c0f\u65700.75\uff0c\u60f3\u628a\u5b83\u8f6c\u6362\u4e3a\u767e\u5206\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

number = 0.75<\/p>\n
percentage = "%d%%" % (number * 100)<\/p>\n
print(percentage)  # \u8f93\u51fa\uff1a75%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u5c0f\u6570\u4e58\u4ee5100\uff0c\u7136\u540e\u4f7f\u7528%d\u683c\u5f0f\u5316\u7b26\u5c06\u5176\u8f6c\u6362\u4e3a\u6574\u6570\u5f62\u5f0f\uff0c\u6700\u540e\u52a0\u4e0a\u4e24\u4e2a\u767e\u5206\u53f7\uff08%%\uff09\u6765\u8868\u793a\u4e00\u4e2a\u5b9e\u9645\u7684\u767e\u5206\u53f7\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528f\u5b57\u7b26\u4e32\u683c\u5f0f\u5316<\/h3>\n<\/p>\n
Python 3.6\u5f15\u5165\u4e86f\u5b57\u7b26\u4e32\uff08\u53c8\u79f0\u4e3a\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u5b57\u9762\u91cf\uff09\uff0c\u4f7f\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u548c\u76f4\u89c2\u3002f\u5b57\u7b26\u4e32\u5141\u8bb8\u6211\u4eec\u5728\u5b57\u7b26\u4e32\u4e2d\u76f4\u63a5\u5d4c\u5165\u8868\u8fbe\u5f0f\uff0c\u5e76\u4e14\u652f\u6301\u4e30\u5bcc\u7684\u683c\u5f0f\u5316\u9009\u9879\u3002<\/p>\n<\/p>\n
number = 0.75<\/p>\n
percentage = f"{number * 100:.2f}%"<\/p>\n
print(percentage)  # \u8f93\u51fa\uff1a75.00%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86:.2f\u683c\u5f0f\u8bf4\u660e\u7b26\uff0c\u5b83\u8868\u793a\u6211\u4eec\u5e0c\u671b\u5c06\u6570\u5b57\u683c\u5f0f\u5316\u4e3a\u5c0f\u6570\u70b9\u540e\u4fdd\u7559\u4e24\u4f4d\u7684\u5c0f\u6570\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570<\/h3>\n<\/p>\n
\u6709\u65f6\u6211\u4eec\u53ef\u80fd\u5e0c\u671b\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570\u5e76\u4fdd\u7559\u4e00\u5b9a\u7684\u5c0f\u6570\u4f4d\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570round()\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n
number = 0.75<\/p>\n
percentage = round(number * 100, 2)<\/p>\n
print(f"{percentage}%")  # \u8f93\u51fa\uff1a75.00%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528round()\u51fd\u6570\u5c06\u6570\u5b57\u56db\u820d\u4e94\u5165\u5230\u5c0f\u6570\u70b9\u540e\u4e24\u4f4d\uff0c\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u5e76\u52a0\u4e0a\u767e\u5206\u53f7\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528decimal\u6a21\u5757<\/h3>\n<\/p>\n
Python\u7684decimal\u6a21\u5757\u63d0\u4f9b\u4e86\u7cbe\u786e\u7684\u5341\u8fdb\u5236\u6d6e\u70b9\u8fd0\u7b97\uff0c\u8fd9\u5bf9\u4e8e\u9700\u8981\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\u7684\u573a\u666f\u975e\u5e38\u6709\u7528\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528decimal\u6a21\u5757\u6765\u8868\u73b0\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
from decimal import Decimal<\/p>\n
number = Decimal('0.75')<\/p>\n
percentage = number * Decimal('100')<\/p>\n
print(f"{percentage}%")  # \u8f93\u51fa\uff1a75.00%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u6570\u5b57\u8f6c\u6362\u4e3aDecimal\u5bf9\u8c61\uff0c\u7136\u540e\u8fdb\u884c\u4e58\u6cd5\u8fd0\u7b97\u5e76\u683c\u5f0f\u5316\u8f93\u51fa\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528format()\u51fd\u6570<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6eformat()\u51fd\u6570\u6765\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3002format()\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u66ff\u4ee3\u767e\u5206\u53f7\u64cd\u4f5c\u7b26\uff0c\u63d0\u4f9b\u66f4\u5f3a\u5927\u7684\u683c\u5f0f\u5316\u529f\u80fd\u3002<\/p>\n<\/p>\n
number = 0.75<\/p>\n
percentage = "{}%".format(number * 100)<\/p>\n
print(percentage)  # \u8f93\u51fa\uff1a75.0%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u5927\u62ec\u53f7{}\u4f5c\u4e3a\u5360\u4f4d\u7b26\uff0c\u7136\u540e\u5728format()\u51fd\u6570\u4e2d\u4f20\u5165\u8981\u683c\u5f0f\u5316\u7684\u503c\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528locale\u6a21\u5757<\/h3>\n<\/p>\n
Python\u7684locale\u6a21\u5757\u63d0\u4f9b\u4e86\u672c\u5730\u5316\u76f8\u5173\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u4e0e\u533a\u57df\u8bbe\u7f6e\u76f8\u5173\u7684\u683c\u5f0f\u5316\u9700\u6c42\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528locale\u6a21\u5757\u5c06\u6570\u5b57\u683c\u5f0f\u5316\u4e3a\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
import locale<\/p>\n
locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')<\/p>\n
number = 0.75<\/p>\n
percentage = locale.format_string("%.2f%%", number * 100)<\/p>\n
print(percentage)  # \u8f93\u51fa\uff1a75.00%<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8bbe\u7f6e\u4e86\u533a\u57df\u8bbe\u7f6e\uff0c\u7136\u540e\u4f7f\u7528locale.format_string()\u51fd\u6570\u8fdb\u884c\u683c\u5f0f\u5316\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u6b63\u5728\u5904\u7406\u7684\u6570\u636e\u662f\u4e00\u4e2aPandas DataFrame\u6216Series\u5bf9\u8c61\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u7684apply()\u51fd\u6570\u6765\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = pd.Series([0.75, 0.85, 0.65])<\/p>\n
percentage = data.apply(lambda x: f"{x * 100:.2f}%")<\/p>\n
print(percentage)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528apply()\u51fd\u6570\u5bf9Series\u5bf9\u8c61\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5143\u7d20\u8fdb\u884c\u8f6c\u6362\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u7559\u4e24\u4f4d\u5c0f\u6570\u3002<\/p>\n<\/p>\n
\u516b\u3001\u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n
\u7c7b\u4f3c\u4e8ePandas\u5e93\uff0c\u5982\u679c\u6211\u4eec\u6b63\u5728\u5904\u7406\u7684\u662f\u4e00\u4e2aNumpy\u6570\u7ec4\uff0c\u53ef\u4ee5\u4f7f\u7528Numpy\u5e93\u7684\u5411\u91cf\u5316\u64cd\u4f5c\u6765\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([0.75, 0.85, 0.65])<\/p>\n
percentage = np.vectorize(lambda x: f"{x * 100:.2f}%")(data)<\/p>\n
print(percentage)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Numpy\u7684vectorize()\u51fd\u6570\u5c06\u4e00\u4e2a\u666e\u901a\u7684Python\u51fd\u6570\u8f6c\u6362\u4e3aNumpy\u7684\u5411\u91cf\u5316\u51fd\u6570\uff0c\u7136\u540e\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e00\u4e2a\u5143\u7d20\u8fdb\u884c\u8f6c\u6362\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u4f7f\u7528matplotlib\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u6b63\u5728\u7ed8\u5236\u56fe\u8868\uff0c\u5e76\u4e14\u5e0c\u671b\u5728\u56fe\u8868\u4e0a\u663e\u793a\u767e\u5206\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u7684\u683c\u5f0f\u5316\u529f\u80fd\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
data = [0.75, 0.85, 0.65]<\/p>\n
labels = [f"{x * 100:.2f}%" for x in data]<\/p>\n
plt.pie(data, labels=labels)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06\u6570\u636e\u8f6c\u6362\u4e3a\u767e\u5206\u6570\uff0c\u7136\u540e\u5c06\u5176\u4f5c\u4e3a\u6807\u7b7e\u4f20\u9012\u7ed9plt.pie()\u51fd\u6570\u3002<\/p>\n<\/p>\n
\u5341\u3001\u4f7f\u7528seaborn\u5e93<\/h3>\n<\/p>\n
\u7c7b\u4f3c\u4e8eMatplotlib\u5e93\uff0c\u5982\u679c\u6211\u4eec\u4f7f\u7528Seaborn\u5e93\u6765\u7ed8\u5236\u56fe\u8868\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528\u683c\u5f0f\u5316\u529f\u80fd\u6765\u663e\u793a\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
data = [0.75, 0.85, 0.65]<\/p>\n
labels = [f"{x * 100:.2f}%" for x in data]<\/p>\n
sns.barplot(x=labels, y=data)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Seaborn\u7684barplot()\u51fd\u6570\u7ed8\u5236\u67f1\u72b6\u56fe\uff0c\u5e76\u5c06\u767e\u5206\u6570\u4f5c\u4e3a\u6807\u7b7e\u663e\u793a\u5728\u56fe\u8868\u4e0a\u3002<\/p>\n<\/p>\n
\u5341\u4e00\u3001\u4f7f\u7528bokeh\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u5e0c\u671b\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\uff0c\u53ef\u4ee5\u4f7f\u7528Bokeh\u5e93\u6765\u663e\u793a\u767e\u5206\u6570\u3002Bokeh\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u4ea4\u4e92\u529f\u80fd\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u7f51\u9875\u4e0a\u7684\u52a8\u6001\u56fe\u8868\u3002<\/p>\n<\/p>\n
from bokeh.plotting import figure, show<\/p>\n
data = [0.75, 0.85, 0.65]<\/p>\n
labels = [f"{x * 100:.2f}%" for x in data]<\/p>\n
p = figure(x_range=labels, plot_height=250, title="Percentage Example")<\/p>\n
p.vbar(x=labels, top=data, width=0.9)<\/p>\n
show(p)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Bokeh\u7684figure()\u51fd\u6570\u521b\u5efa\u56fe\u8868\uff0c\u5e76\u4f7f\u7528vbar()\u51fd\u6570\u7ed8\u5236\u67f1\u72b6\u56fe\u3002<\/p>\n<\/p>\n
\u5341\u4e8c\u3001\u4f7f\u7528plotly\u5e93<\/h3>\n<\/p>\n
Plotly\u5e93\u4e5f\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Plotly\u5e93\u6765\u663e\u793a\u767e\u5206\u6570\u3002<\/p>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
data = [0.75, 0.85, 0.65]<\/p>\n
labels = [f"{x * 100:.2f}%" for x in data]<\/p>\n
fig = go.Figure(data=[go.Bar(x=labels, y=data)])<\/p>\n
fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Plotly\u7684go.Bar()\u51fd\u6570\u521b\u5efa\u67f1\u72b6\u56fe\uff0c\u5e76\u5c06\u767e\u5206\u6570\u4f5c\u4e3a\u6807\u7b7e\u663e\u793a\u5728\u56fe\u8868\u4e0a\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u8868\u73b0\u767e\u5206\u6570\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u3002\u65e0\u8bba\u662f\u4f7f\u7528\u57fa\u672c\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\uff0c\u8fd8\u662f\u4f7f\u7528\u9ad8\u7ea7\u7684\u56fe\u8868\u7ed8\u5236\u5e93\uff0c\u90fd\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u767e\u5206\u6570\u7684\u8868\u73b0\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u683c\u5f0f\u5316\u767e\u5206\u6570\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u65b9\u6cd5\u6765\u8868\u73b0\u767e\u5206\u6570\u3002\u5e38\u7528\u7684\u65b9\u5f0f\u662f\u4f7f\u7528format()<\/code>\u51fd\u6570\u6216f-string\uff08\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u5b57\u9762\u91cf\uff09\u3002\u4f8b\u5982\uff0c"{:.2%}".format(0.123)<\/code>\u4f1a\u8f93\u51fa12.30%<\/code>\uff0c\u800c\u4f7f\u7528f-string\u5219\u53ef\u4ee5\u5199\u6210f"{0.123:.2%}"<\/code>\uff0c\u6548\u679c\u76f8\u540c\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5\u90fd\u53ef\u4ee5\u6307\u5b9a\u5c0f\u6570\u70b9\u540e\u4fdd\u7559\u7684\u4f4d\u6570\u3002<\/p>\n
Python\u4e2d\u5982\u4f55\u5c06\u5c0f\u6570\u8f6c\u6362\u4e3a\u767e\u5206\u6bd4\uff1f<\/strong>
\u8981\u5c06\u5c0f\u6570\u8f6c\u6362\u4e3a\u767e\u5206\u6bd4\uff0c\u53ea\u9700\u5c06\u5c0f\u6570\u4e58\u4ee5100\uff0c\u7136\u540e\u52a0\u4e0a\u767e\u5206\u53f7\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u5c0f\u65700.85<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7percentage = 0.85 * 100<\/code>\u8ba1\u7b97\u5f97\u523085<\/code>\uff0c\u518d\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32"85%"<\/code>\u5373\u53ef\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u767e\u5206\u6570\u8ba1\u7b97\uff1f<\/strong>
\u8fdb\u884c\u767e\u5206\u6570\u8ba1\u7b97\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u5c0f\u6570\u5f62\u5f0f\u8fdb\u884c\u8fd0\u7b97\u3002\u4f8b\u5982\uff0c\u5982\u679c\u8981\u8ba1\u7b97\u4e00\u4e2a\u503c\u768410%\u7684\u8bdd\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528value * 0.10<\/code>\u6765\u5b9e\u73b0\u3002\u5bf9\u4e8e\u590d\u5408\u767e\u5206\u6bd4\u7684\u8ba1\u7b97\uff0c\u53ef\u4ee5\u6309\u987a\u5e8f\u8fdb\u884c\uff0c\u6bd4\u5982\u5148\u8ba1\u7b97\u4e00\u4e2a\u503c\u768420%\uff0c\u7136\u540e\u518d\u8ba1\u7b97\u8be5\u7ed3\u679c\u768450%\u3002\u786e\u4fdd\u5728\u6700\u7ec8\u7ed3\u679c\u4e2d\u9002\u5f53\u8f6c\u6362\u56de\u767e\u5206\u6bd4\u683c\u5f0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u8868\u73b0\u767e\u5206\u6570\u7684\u591a\u79cd\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u767e\u5206\u53f7\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3001\u4f7f\u7528f\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3001\u5c06\u6570\u5b57\u8f6c\u6362\u4e3a\u767e\u5206\u6570\u3001\u4f7f\u7528P […]","protected":false},"author":3,"featured_media":1117750,"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\/1117742"}],"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=1117742"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1117742\/revisions"}],"predecessor-version":[{"id":1117753,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1117742\/revisions\/1117753"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1117750"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1117742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1117742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1117742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}