{"id":1070167,"date":"2025-01-08T10:55:40","date_gmt":"2025-01-08T02:55:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1070167.html"},"modified":"2025-01-08T10:55:43","modified_gmt":"2025-01-08T02:55:43","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e4%b8%ad%e6%96%87%e6%96%87%e6%9c%ac%e8%af%8d%e9%a2%91%e5%88%86%e6%9e%90-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1070167.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u4e2d\u6587\u6587\u672c\u8bcd\u9891\u5206\u6790"},"content":{"rendered":"

\"python\u5982\u4f55\u5bf9\u4e2d\u6587\u6587\u672c\u8bcd\u9891\u5206\u6790\"<\/p>\n

\u4e00\u3001Python\u5982\u4f55\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u8bcd\u9891\u5206\u6790<\/p>\n<\/p>\n

\u4f7f\u7528jieba\u8fdb\u884c\u5206\u8bcd\u3001\u5229\u7528Counter\u7edf\u8ba1\u8bcd\u9891\u3001\u6e05\u6d17\u505c\u7528\u8bcd\u3001\u53ef\u89c6\u5316\u8bcd\u9891\u7ed3\u679c<\/strong>\u3002\u9996\u5148\uff0c\u4f7f\u7528jieba\u5e93\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u5206\u8bcd\uff0c\u7136\u540e\u5229\u7528Python\u7684Counter\u7c7b\u5bf9\u5206\u8bcd\u7ed3\u679c\u8fdb\u884c\u8bcd\u9891\u7edf\u8ba1\uff0c\u6e05\u6d17\u6389\u505c\u7528\u8bcd\u4ee5\u786e\u4fdd\u7ed3\u679c\u7684\u51c6\u786e\u6027\uff0c\u6700\u540e\u901a\u8fc7\u5de5\u5177\u8fdb\u884c\u53ef\u89c6\u5316\u5c55\u793a\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u4f7f\u7528jieba\u8fdb\u884c\u5206\u8bcd<\/p>\n<\/p>\n

jieba\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u4e2d\u6587\u5206\u8bcd\u5e93\uff0c\u53ef\u4ee5\u5f88\u597d\u5730\u5904\u7406\u4e2d\u6587\u6587\u672c\u3002\u5b83\u652f\u6301\u4e09\u79cd\u5206\u8bcd\u6a21\u5f0f\uff1a\u7cbe\u786e\u6a21\u5f0f\u3001\u5168\u6a21\u5f0f\u548c\u641c\u7d22\u5f15\u64ce\u6a21\u5f0f\u3002\u7cbe\u786e\u6a21\u5f0f\u53ef\u4ee5\u51c6\u786e\u5730\u5207\u5206\u51fa\u6587\u672c\u4e2d\u7684\u8bcd\u8bed\uff0c\u662f\u6700\u5e38\u7528\u7684\u4e00\u79cd\u5206\u8bcd\u6a21\u5f0f\u3002<\/p>\n<\/p>\n

import jieba<\/p>\n
def segment_text(text):<\/p>\n
    # \u4f7f\u7528\u7cbe\u786e\u6a21\u5f0f\u8fdb\u884c\u5206\u8bcd<\/p>\n
    words = jieba.lcut(text, cut_all=False)<\/p>\n
    return words<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5229\u7528Counter\u7edf\u8ba1\u8bcd\u9891<\/p>\n<\/p>\n
Python\u7684collections\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2aCounter\u7c7b\uff0c\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u7edf\u8ba1\u8bcd\u9891\u3002Counter\u7c7b\u662f\u4e00\u4e2a\u54c8\u5e0c\u8868\u7684\u5b50\u7c7b\uff0c\u7528\u4e8e\u8ba1\u6570\u5bf9\u8c61\u7684\u51fa\u73b0\u6b21\u6570\u3002<\/p>\n<\/p>\n
from collections import Counter<\/p>\n
def count_word_frequency(words):<\/p>\n
    # \u7edf\u8ba1\u8bcd\u9891<\/p>\n
    word_counts = Counter(words)<\/p>\n
    return word_counts<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6e05\u6d17\u505c\u7528\u8bcd<\/p>\n<\/p>\n
\u5728\u8fdb\u884c\u8bcd\u9891\u7edf\u8ba1\u65f6\uff0c\u505c\u7528\u8bcd\uff08\u5982\u201c\u7684\u201d\u3001\u201c\u4e86\u201d\u3001\u201c\u5728\u201d\u7b49\uff09\u4f1a\u5e72\u6270\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u505c\u7528\u8bcd\u8868\u6765\u8fc7\u6ee4\u8fd9\u4e9b\u8bcd\u3002<\/p>\n<\/p>\n
def remove_stopwords(words, stopwords):<\/p>\n
    # \u53bb\u9664\u505c\u7528\u8bcd<\/p>\n
    filtered_words = [word for word in words if word not in stopwords]<\/p>\n
    return filtered_words<\/p>\n
\u52a0\u8f7d\u505c\u7528\u8bcd\u8868<\/strong><\/h2>\n
def load_stopwords(filepath):<\/p>\n
    with open(filepath, 'r', encoding='utf-8') as file:<\/p>\n
        stopwords = file.read().splitlines()<\/p>\n
    return stopwords<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u53ef\u89c6\u5316\u8bcd\u9891\u7ed3\u679c<\/p>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u8bcd\u4e91\uff08WordCloud\uff09\u5e93\u6765\u76f4\u89c2\u5730\u5c55\u793a\u8bcd\u9891\u7ed3\u679c\u3002\u8bcd\u4e91\u662f\u4e00\u79cd\u6570\u636e\u53ef\u89c6\u5316\u6280\u672f\uff0c\u5b83\u901a\u8fc7\u4e0d\u540c\u5927\u5c0f\u7684\u5b57\u4f53\u6765\u5c55\u793a\u8bcd\u8bed\u7684\u9891\u7387\u3002<\/p>\n<\/p>\n
from wordcloud import WordCloud<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
def generate_wordcloud(word_counts):<\/p>\n
    wordcloud = WordCloud(font_path='simhei.ttf', width=800, height=400).generate_from_frequencies(word_counts)<\/p>\n
    plt.imshow(wordcloud, interpolation='bilinear')<\/p>\n
    plt.axis('off')<\/p>\n
    plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u7efc\u5408\u793a\u4f8b<\/p>\n<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u4ee5\u4e0a\u65b9\u6cd5\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u8bcd\u9891\u5206\u6790\uff1a<\/p>\n<\/p>\n
import jieba<\/p>\n
from collections import Counter<\/p>\n
from wordcloud import WordCloud<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
def segment_text(text):<\/p>\n
    words = jieba.lcut(text, cut_all=False)<\/p>\n
    return words<\/p>\n
def count_word_frequency(words):<\/p>\n
    word_counts = Counter(words)<\/p>\n
    return word_counts<\/p>\n
def remove_stopwords(words, stopwords):<\/p>\n
    filtered_words = [word for word in words if word not in stopwords]<\/p>\n
    return filtered_words<\/p>\n
def load_stopwords(filepath):<\/p>\n
    with open(filepath, 'r', encoding='utf-8') as file:<\/p>\n
        stopwords = file.read().splitlines()<\/p>\n
    return stopwords<\/p>\n
def generate_wordcloud(word_counts):<\/p>\n
    wordcloud = WordCloud(font_path='simhei.ttf', width=800, height=400).generate_from_frequencies(word_counts)<\/p>\n
    plt.imshow(wordcloud, interpolation='bilinear')<\/p>\n
    plt.axis('off')<\/p>\n
    plt.show()<\/p>\n
def mAI<\/a>n():<\/p>\n
    # \u793a\u4f8b\u6587\u672c<\/p>\n
    text = "Python\u662f\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u89e3\u91ca\u578b\u3001\u9ad8\u7ea7\u7f16\u7a0b\u3001\u901a\u7528\u578b\u7f16\u7a0b\u8bed\u8a00\u3002"<\/p>\n
    # \u5206\u8bcd<\/p>\n
    words = segment_text(text)<\/p>\n
    # \u52a0\u8f7d\u505c\u7528\u8bcd\u8868<\/p>\n
    stopwords = load_stopwords('stopwords.txt')<\/p>\n
    # \u53bb\u9664\u505c\u7528\u8bcd<\/p>\n
    filtered_words = remove_stopwords(words, stopwords)<\/p>\n
    # \u7edf\u8ba1\u8bcd\u9891<\/p>\n
    word_counts = count_word_frequency(filtered_words)<\/p>\n
    # \u751f\u6210\u8bcd\u4e91<\/p>\n
    generate_wordcloud(word_counts)<\/p>\n
if __name__ == "__main__":<\/p>\n
    main()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u8bcd\u9891\u5206\u6790\u3002\u9996\u5148\uff0c\u4f7f\u7528jieba\u5e93\u8fdb\u884c\u5206\u8bcd\uff1b\u7136\u540e\uff0c\u5229\u7528Counter\u7c7b\u7edf\u8ba1\u8bcd\u9891\uff1b\u63a5\u7740\uff0c\u6e05\u6d17\u505c\u7528\u8bcd\u4ee5\u786e\u4fdd\u7ed3\u679c\u7684\u51c6\u786e\u6027\uff1b\u6700\u540e\uff0c\u901a\u8fc7\u8bcd\u4e91\u53ef\u89c6\u5316\u5c55\u793a\u8bcd\u9891\u7ed3\u679c\u3002\u8fd9\u4e9b\u65b9\u6cd5\u548c\u6b65\u9aa4\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u9ad8\u6548\u5730\u8fdb\u884c\u4e2d\u6587\u6587\u672c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u4e2d\u6587\u6587\u672c\u7684\u8bcd\u9891\u5206\u6790\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e9b\u5f3a\u5927\u7684\u5e93\u6765\u8fdb\u884c\u4e2d\u6587\u6587\u672c\u7684\u8bcd\u9891\u5206\u6790\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecjieba<\/code>\u7528\u4e8e\u5206\u8bcd\uff0ccollections<\/code>\u7528\u4e8e\u7edf\u8ba1\u8bcd\u9891\u3002\u9996\u5148\uff0c\u4f7f\u7528jieba<\/code>\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u5206\u8bcd\uff0c\u63a5\u7740\u5229\u7528Counter<\/code>\u7c7b\u6765\u7edf\u8ba1\u8bcd\u9891\uff0c\u6700\u540e\u53ef\u4ee5\u5c06\u7ed3\u679c\u4ee5\u5b57\u5178\u6216\u5176\u4ed6\u5f62\u5f0f\u8f93\u51fa\u3002<\/p>\n
\u5728\u8fdb\u884c\u8bcd\u9891\u5206\u6790\u65f6\uff0c\u5982\u4f55\u5904\u7406\u505c\u7528\u8bcd\uff1f<\/strong>
\u505c\u7528\u8bcd\u662f\u6307\u5728\u6587\u672c\u4e2d\u51fa\u73b0\u9891\u7387\u9ad8\u4f46\u5bf9\u5206\u6790\u7ed3\u679c\u8d21\u732e\u4e0d\u5927\u7684\u8bcd\u6c47\uff0c\u5982\u201c\u7684\u201d\u3001\u201c\u4e86\u201d\u3001\u201c\u548c\u201d\u7b49\u3002\u5728\u8fdb\u884c\u8bcd\u9891\u5206\u6790\u4e4b\u524d\uff0c\u5efa\u8bae\u4f7f\u7528\u4e00\u4e2a\u505c\u7528\u8bcd\u8868\uff0c\u5c06\u8fd9\u4e9b\u8bcd\u4ece\u6587\u672c\u4e2d\u53bb\u9664\u3002\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6\u4e00\u4e2a\u505c\u7528\u8bcd\u6587\u4ef6\uff0c\u6216\u76f4\u63a5\u5728\u4ee3\u7801\u4e2d\u5b9a\u4e49\u505c\u7528\u8bcd\u5217\u8868\uff0c\u4ece\u800c\u63d0\u9ad8\u5206\u6790\u7684\u51c6\u786e\u6027\u3002<\/p>\n
\u6709\u54ea\u4e9b\u53ef\u89c6\u5316\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u5c55\u793a\u8bcd\u9891\u5206\u6790\u7684\u7ed3\u679c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528matplotlib<\/code>\u6216wordcloud<\/code>\u7b49\u5e93\u6765\u53ef\u89c6\u5316\u8bcd\u9891\u5206\u6790\u7684\u7ed3\u679c\u3002wordcloud<\/code>\u53ef\u4ee5\u751f\u6210\u7f8e\u89c2\u7684\u8bcd\u4e91\u56fe\uff0c\u76f4\u89c2\u5c55\u793a\u8bcd\u6c47\u7684\u9891\u7387\uff0c\u9891\u7387\u8d8a\u9ad8\u7684\u8bcd\u6c47\u663e\u793a\u5f97\u8d8a\u5927\u3002\u4f7f\u7528\u8fd9\u4e9b\u53ef\u89c6\u5316\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u66f4\u597d\u5730\u7406\u89e3\u6587\u672c\u6570\u636e\u7684\u7279\u5f81\u4e0e\u8d8b\u52bf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4e00\u3001Python\u5982\u4f55\u5bf9\u4e2d\u6587\u6587\u672c\u8fdb\u884c\u8bcd\u9891\u5206\u6790 \u4f7f\u7528jieba\u8fdb\u884c\u5206\u8bcd\u3001\u5229\u7528Counter\u7edf\u8ba1\u8bcd\u9891\u3001\u6e05\u6d17\u505c\u7528\u8bcd\u3001\u53ef […]","protected":false},"author":3,"featured_media":1070172,"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\/1070167"}],"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=1070167"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1070167\/revisions"}],"predecessor-version":[{"id":1070173,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1070167\/revisions\/1070173"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1070172"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1070167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1070167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1070167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}