{"id":1129032,"date":"2025-01-08T20:25:55","date_gmt":"2025-01-08T12:25:55","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1129032.html"},"modified":"2025-01-08T20:25:58","modified_gmt":"2025-01-08T12:25:58","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%8a%8a%e5%a1%ab%e7%a9%ba%e9%a2%98%e7%9a%84%e7%ad%94%e6%a1%88%e5%8e%bb%e6%8e%89","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1129032.html","title":{"rendered":"\u5982\u4f55\u7528python\u628a\u586b\u7a7a\u9898\u7684\u7b54\u6848\u53bb\u6389"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u628a\u586b\u7a7a\u9898\u7684\u7b54\u6848\u53bb\u6389\"<\/p>\n

\u8981\u7528Python\u628a\u586b\u7a7a\u9898\u7684\u7b54\u6848\u53bb\u6389\uff0c\u53ef\u4ee5\u4f7f\u7528\u5b57\u7b26\u4e32\u64cd\u4f5c\u548c\u6b63\u5219\u8868\u8fbe\u5f0f\u6765\u5b9e\u73b0\u3001\u53ef\u4ee5\u4f7f\u7528NLP\u6280\u672f\u6765\u63d0\u9ad8\u81ea\u52a8\u5316\u5904\u7406\u7684\u51c6\u786e\u6027\u3001\u53ef\u4ee5\u6839\u636e\u7279\u5b9a\u7684\u683c\u5f0f\u548c\u89c4\u5219\u6765\u8bc6\u522b\u548c\u53bb\u9664\u7b54\u6848\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u662f\u6700\u5e38\u89c1\u548c\u9ad8\u6548\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u6b63\u5219\u8868\u8fbe\u5f0f\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u5339\u914d\u548c\u66ff\u6362\u7279\u5b9a\u683c\u5f0f\u7684\u6587\u672c\uff0c\u4ece\u800c\u53bb\u9664\u586b\u7a7a\u9898\u4e2d\u7684\u7b54\u6848\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u8ba8\u8bba\u8fd9\u4e09\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5b57\u7b26\u4e32\u64cd\u4f5c\u548c\u6b63\u5219\u8868\u8fbe\u5f0f<\/h3>\n<\/p>\n

1. \u57fa\u672c\u6982\u5ff5<\/h4>\n<\/p>\n

\u6b63\u5219\u8868\u8fbe\u5f0f\uff08Regular Expression\uff0c\u7b80\u79f0regex\uff09\u662f\u4e00\u79cd\u63cf\u8ff0\u5b57\u7b26\u6a21\u5f0f\u7684\u5de5\u5177\uff0c\u5e7f\u6cdb\u7528\u4e8e\u5b57\u7b26\u4e32\u5339\u914d\u548c\u66ff\u6362\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528 re<\/code> \u6a21\u5757\u6765\u5904\u7406\u6b63\u5219\u8868\u8fbe\u5f0f\u3002<\/p>\n<\/p>\n

2. \u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n

\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u586b\u7a7a\u9898\uff1a<\/p>\n<\/p>\n

1. Python\u662f\u4e00\u79cd______\uff08\u7f16\u7a0b\u8bed\u8a00\uff09\u3002<\/p>\n
2. \u5730\u7403\u662f______\uff08\u592a\u9633\u7cfb\uff09\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\uff08CPU\uff09\u3002<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6211\u4eec\u5e0c\u671b\u53bb\u6389\u62ec\u53f7\u4e2d\u7684\u7b54\u6848\uff0c\u5f97\u5230\uff1a<\/p>\n<\/p>\n
1. Python\u662f\u4e00\u79cd______\u3002<\/p>\n
2. \u5730\u7403\u662f______\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\u3002<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0bPython\u4ee3\u7801\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
import re<\/p>\n
def remove_answers(text):<\/p>\n
    # \u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u5339\u914d\u5e76\u53bb\u6389\u62ec\u53f7\u4e2d\u7684\u5185\u5bb9<\/p>\n
    pattern = r'\\\uff08.*?\\\uff09'<\/p>\n
    cleaned_text = re.sub(pattern, '______', text)<\/p>\n
    return cleaned_text<\/p>\n
\u793a\u4f8b\u6587\u672c<\/strong><\/h2>\n
text = """<\/p>\n
1. Python\u662f\u4e00\u79cd______\uff08\u7f16\u7a0b\u8bed\u8a00\uff09\u3002<\/p>\n
2. \u5730\u7403\u662f______\uff08\u592a\u9633\u7cfb\uff09\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\uff08CPU\uff09\u3002<\/p>\n
"""<\/p>\n
\u53bb\u6389\u7b54\u6848<\/strong><\/h2>\n
cleaned_text = remove_answers(text)<\/p>\n
print(cleaned_text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n
\u6b63\u5219\u8868\u8fbe\u5f0f\u7684\u4f7f\u7528<\/strong>\uff1a\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0cr'\\\uff08.*?\\\uff09'<\/code> \u662f\u4e00\u4e2a\u6b63\u5219\u8868\u8fbe\u5f0f\u6a21\u5f0f\uff0c\u5176\u4e2d \\\uff08<\/code> \u548c \\\uff09<\/code> \u5206\u522b\u8868\u793a\u5339\u914d\u5de6\u62ec\u53f7\u548c\u53f3\u62ec\u53f7\uff0c.*?<\/code> \u8868\u793a\u5339\u914d\u4efb\u610f\u5b57\u7b26\uff0c\u76f4\u5230\u9047\u5230\u53f3\u62ec\u53f7\u4e3a\u6b62\u3002re.sub<\/code> \u51fd\u6570\u7528\u4e8e\u66ff\u6362\u5339\u914d\u5230\u7684\u6587\u672c\u3002<\/p>\n<\/p>\n
\u66ff\u6362\u6587\u672c<\/strong>\uff1a\u6211\u4eec\u7528 '______'<\/code> \u66ff\u6362\u5339\u914d\u5230\u7684\u5185\u5bb9\uff0c\u4ece\u800c\u5b9e\u73b0\u53bb\u6389\u7b54\u6848\u7684\u76ee\u7684\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528NLP\u6280\u672f<\/h3>\n<\/p>\n
1. \u57fa\u672c\u6982\u5ff5<\/h4>\n<\/p>\n
\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u662f\u4eba\u5de5\u667a\u80fd<\/a>\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u65e8\u5728\u5b9e\u73b0\u8ba1\u7b97\u673a\u5bf9\u81ea\u7136\u8bed\u8a00\u7684\u7406\u89e3\u548c\u751f\u6210\u3002\u4f7f\u7528NLP\u6280\u672f\uff0c\u53ef\u4ee5\u63d0\u9ad8\u81ea\u52a8\u5316\u5904\u7406\u586b\u7a7a\u9898\u7684\u51c6\u786e\u6027\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u590d\u6742\u6587\u672c\u65f6\u3002<\/p>\n<\/p>\n
2. \u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528NLP\u5e93\uff08\u5982spaCy\u6216NLTK\uff09\u6765\u6807\u8bb0\u548c\u5904\u7406\u6587\u672c\uff0c\u4ece\u800c\u53bb\u6389\u586b\u7a7a\u9898\u7684\u7b54\u6848\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528spaCy\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import spacy<\/p>\n
\u52a0\u8f7dspaCy\u6a21\u578b<\/strong><\/h2>\n
nlp = spacy.load('en_core_web_sm')<\/p>\n
def remove_answers(text):<\/p>\n
    doc = nlp(text)<\/p>\n
    cleaned_text = []<\/p>\n
    for token in doc:<\/p>\n
        if token.text in ['\uff08', '\uff09']:<\/p>\n
            continue<\/p>\n
        if token.is_punct and token.nbor(-1).text == '\uff08' and token.nbor(1).text == '\uff09':<\/p>\n
            continue<\/p>\n
        cleaned_text.append(token.text)<\/p>\n
    return ' '.join(cleaned_text)<\/p>\n
\u793a\u4f8b\u6587\u672c<\/strong><\/h2>\n
text = """<\/p>\n
1. Python\u662f\u4e00\u79cd______\uff08\u7f16\u7a0b\u8bed\u8a00\uff09\u3002<\/p>\n
2. \u5730\u7403\u662f______\uff08\u592a\u9633\u7cfb\uff09\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\uff08CPU\uff09\u3002<\/p>\n
"""<\/p>\n
\u53bb\u6389\u7b54\u6848<\/strong><\/h2>\n
cleaned_text = remove_answers(text)<\/p>\n
print(cleaned_text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n
\u6807\u8bb0\u548c\u5904\u7406\u6587\u672c<\/strong>\uff1a\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u52a0\u8f7d\u4e86spaCy\u6a21\u578b\uff0c\u5e76\u5c06\u6587\u672c\u6807\u8bb0\u4e3a\u5355\u8bcd\u548c\u6807\u70b9\u7b26\u53f7\u3002\u7136\u540e\uff0c\u6211\u4eec\u6839\u636e\u7279\u5b9a\u89c4\u5219\u53bb\u6389\u62ec\u53f7\u53ca\u5176\u4e2d\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u63d0\u9ad8\u51c6\u786e\u6027<\/strong>\uff1a\u4f7f\u7528NLP\u6280\u672f\u53ef\u4ee5\u66f4\u597d\u5730\u5904\u7406\u590d\u6742\u6587\u672c\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u591a\u8bed\u8a00\u6216\u542b\u6709\u7279\u6b8a\u5b57\u7b26\u7684\u6587\u672c\u65f6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u6839\u636e\u7279\u5b9a\u683c\u5f0f\u548c\u89c4\u5219<\/h3>\n<\/p>\n
1. \u57fa\u672c\u6982\u5ff5<\/h4>\n<\/p>\n
\u6709\u4e9b\u586b\u7a7a\u9898\u7684\u7b54\u6848\u53ef\u80fd\u4e0d\u5728\u62ec\u53f7\u5185\uff0c\u800c\u662f\u91c7\u7528\u5176\u4ed6\u683c\u5f0f\u6216\u89c4\u5219\u3002\u4f8b\u5982\uff0c\u7b54\u6848\u53ef\u80fd\u5728\u4e0b\u4e00\u884c\u6216\u4ee5\u67d0\u79cd\u6807\u8bb0\u5f00\u5934\u3002\u6839\u636e\u7279\u5b9a\u683c\u5f0f\u548c\u89c4\u5219\uff0c\u53ef\u4ee5\u7f16\u5199\u81ea\u5b9a\u4e49\u7684\u903b\u8f91\u6765\u8bc6\u522b\u548c\u53bb\u9664\u7b54\u6848\u3002<\/p>\n<\/p>\n
2. \u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u586b\u7a7a\u9898\uff0c\u5176\u4e2d\u7b54\u6848\u5728\u4e0b\u4e00\u884c\uff1a<\/p>\n<\/p>\n
1. Python\u662f\u4e00\u79cd______\u3002<\/p>\n
\u7b54\u6848\uff1a\u7f16\u7a0b\u8bed\u8a00<\/p>\n
2. \u5730\u7403\u662f______\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
\u7b54\u6848\uff1a\u592a\u9633\u7cfb<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\u3002<\/p>\n
\u7b54\u6848\uff1aCPU<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6211\u4eec\u5e0c\u671b\u53bb\u6389\u7b54\u6848\uff0c\u5f97\u5230\uff1a<\/p>\n<\/p>\n
1. Python\u662f\u4e00\u79cd______\u3002<\/p>\n
2. \u5730\u7403\u662f______\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\u3002<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0bPython\u4ee3\u7801\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
def remove_answers(text):<\/p>\n
    lines = text.strip().split('\\n')<\/p>\n
    cleaned_lines = []<\/p>\n
    for i in range(len(lines)):<\/p>\n
        if i % 2 == 0:  # \u4fdd\u7559\u5947\u6570\u884c<\/p>\n
            cleaned_lines.append(lines[i])<\/p>\n
    return '\\n'.join(cleaned_lines)<\/p>\n
\u793a\u4f8b\u6587\u672c<\/strong><\/h2>\n
text = """<\/p>\n
1. Python\u662f\u4e00\u79cd______\u3002<\/p>\n
\u7b54\u6848\uff1a\u7f16\u7a0b\u8bed\u8a00<\/p>\n
2. \u5730\u7403\u662f______\u7684\u7b2c\u4e09\u9897\u884c\u661f\u3002<\/p>\n
\u7b54\u6848\uff1a\u592a\u9633\u7cfb<\/p>\n
3. \u8ba1\u7b97\u673a\u7684\u6838\u5fc3\u90e8\u4ef6\u662f______\u3002<\/p>\n
\u7b54\u6848\uff1aCPU<\/p>\n
"""<\/p>\n
\u53bb\u6389\u7b54\u6848<\/strong><\/h2>\n
cleaned_text = remove_answers(text)<\/p>\n
print(cleaned_text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u8be6\u7ec6\u63cf\u8ff0<\/h4>\n<\/p>\n
\u5206\u5272\u548c\u5904\u7406\u6587\u672c<\/strong>\uff1a\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u5c06\u6587\u672c\u6309\u884c\u5206\u5272\uff0c\u5e76\u4fdd\u7559\u5947\u6570\u884c\uff08\u5373\u586b\u7a7a\u9898\uff09\uff0c\u53bb\u6389\u5076\u6570\u884c\uff08\u5373\u7b54\u6848\uff09\u3002<\/p>\n<\/p>\n
\u81ea\u5b9a\u4e49\u89c4\u5219<\/strong>\uff1a\u6839\u636e\u7279\u5b9a\u683c\u5f0f\u548c\u89c4\u5219\uff0c\u81ea\u5b9a\u4e49\u5904\u7406\u903b\u8f91\u53ef\u4ee5\u7075\u6d3b\u5e94\u5bf9\u4e0d\u540c\u7c7b\u578b\u7684\u586b\u7a7a\u9898\u3002<\/p>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u4f7f\u7528Python\u53bb\u6389\u586b\u7a7a\u9898\u7684\u7b54\u6848\uff0c\u53ef\u4ee5\u91c7\u7528\u5b57\u7b26\u4e32\u64cd\u4f5c\u548c\u6b63\u5219\u8868\u8fbe\u5f0f\u3001NLP\u6280\u672f\u4ee5\u53ca\u6839\u636e\u7279\u5b9a\u683c\u5f0f\u548c\u89c4\u5219\u6765\u5b9e\u73b0\u3002\u6b63\u5219\u8868\u8fbe\u5f0f\u65b9\u6cd5\u7b80\u5355\u9ad8\u6548\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u60c5\u51b5<\/strong>\uff0c\u800cNLP\u6280\u672f\u53ef\u4ee5\u5904\u7406\u66f4\u590d\u6742\u7684\u6587\u672c<\/strong>\uff0c\u81ea\u5b9a\u4e49\u89c4\u5219\u5219\u63d0\u4f9b\u4e86\u6700\u5927\u7684\u7075\u6d3b\u6027<\/strong>\u3002\u5177\u4f53\u65b9\u6cd5\u7684\u9009\u62e9\u53d6\u51b3\u4e8e\u586b\u7a7a\u9898\u7684\u683c\u5f0f\u548c\u590d\u6742\u6027\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u8fd9\u4e9b\u6280\u672f\u624b\u6bb5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u81ea\u52a8\u5316\u5904\u7406\u586b\u7a7a\u9898\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\uff0c\u4e3a\u540e\u7eed\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u63d0\u4f9b\u4fbf\u5229\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5904\u7406\u586b\u7a7a\u9898\u7b54\u6848\uff1f<\/strong>
\u5728\u5904\u7406\u586b\u7a7a\u9898\u65f6\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u5b57\u7b26\u4e32\u64cd\u4f5c\u548c\u6b63\u5219\u8868\u8fbe\u5f0f\u6765\u53bb\u6389\u7b54\u6848\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528replace()<\/code>\u51fd\u6570\u3001re.sub()<\/code>\u51fd\u6570\u7b49\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u5feb\u901f\u627e\u5230\u5e76\u5220\u9664\u7279\u5b9a\u7684\u7b54\u6848\u5b57\u7b26\u4e32\u3002<\/p>\n
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