{"id":1083961,"date":"2025-01-08T13:02:56","date_gmt":"2025-01-08T05:02:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1083961.html"},"modified":"2025-01-08T13:02:59","modified_gmt":"2025-01-08T05:02:59","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python3%e5%81%9a%e8%af%8d%e4%ba%91%e5%9b%be-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1083961.html","title":{"rendered":"\u5982\u4f55\u7528python3\u505a\u8bcd\u4e91\u56fe"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24194536\/45690e84-fd2d-421d-9424-51c23e837302.webp\" alt=\"\u5982\u4f55\u7528python3\u505a\u8bcd\u4e91\u56fe\" \/><\/p>\n<p><p> <strong>\u5982\u4f55\u7528Python3\u505a\u8bcd\u4e91\u56fe<\/strong><\/p>\n<\/p>\n<p><p><strong>\u4f7f\u7528Python3\u5236\u4f5c\u8bcd\u4e91\u56fe\u9700\u8981\u5b89\u88c5wordcloud\u5305\u3001\u51c6\u5907\u6587\u672c\u6570\u636e\u3001\u5904\u7406\u6570\u636e\u3001\u751f\u6210\u8bcd\u4e91\u3001\u4fdd\u5b58\u8bcd\u4e91\u56fe\u3002<\/strong> \u5728\u8fd9\u5176\u4e2d\uff0c\u751f\u6210\u8bcd\u4e91\u662f\u6700\u4e3a\u5173\u952e\u7684\u4e00\u6b65\uff0c\u9009\u62e9\u5408\u9002\u7684\u53c2\u6570\u548c\u56fe\u5f62\uff0c\u53ef\u4ee5\u8ba9\u8bcd\u4e91\u56fe\u66f4\u52a0\u7f8e\u89c2\u548c\u5bcc\u6709\u8868\u73b0\u529b\u3002<\/p>\n<\/p>\n<p><h2>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h2>\n<\/p>\n<p><p>\u8981\u751f\u6210\u8bcd\u4e91\u56fe\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u51e0\u4e2a\u5e93\uff0c\u5305\u62ec<code>wordcloud<\/code>\u3001<code>matplotlib<\/code>\u548c<code>numpy<\/code>\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install wordcloud matplotlib numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728\u4f60\u7684Python\u811a\u672c\u6216Jupyter Notebook\u4e2d\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from wordcloud import WordCloud<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<p>from PIL import Image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e8c\u3001\u51c6\u5907\u548c\u5904\u7406\u6587\u672c\u6570\u636e<\/h2>\n<\/p>\n<p><p>\u5728\u751f\u6210\u8bcd\u4e91\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u51c6\u5907\u597d\u6587\u672c\u6570\u636e\u3002\u6587\u672c\u6570\u636e\u53ef\u4ee5\u662f\u4efb\u4f55\u5f62\u5f0f\u7684\u5b57\u7b26\u4e32\uff0c\u4f8b\u5982\u4e00\u7bc7\u6587\u7ae0\u3001\u4e00\u6bb5\u8bc4\u8bba\u6216\u8005\u4e00\u4e2a\u6587\u6863\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u6587\u672c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">text = &quot;&quot;&quot;Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured, object-oriented, and functional programming.&quot;&quot;&quot;<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5bf9\u4e8e\u4ece\u6587\u4ef6\u8bfb\u53d6\u6587\u672c\u6570\u636e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">with open(&#39;your_text_file.txt&#39;, &#39;r&#39;) as file:<\/p>\n<p>    text = file.read()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u4e09\u3001\u521b\u5efa\u8bcd\u4e91\u5bf9\u8c61<\/h2>\n<\/p>\n<p><p>\u5728\u51c6\u5907\u597d\u6587\u672c\u6570\u636e\u540e\uff0c\u4e0b\u4e00\u6b65\u662f\u521b\u5efa\u4e00\u4e2a\u8bcd\u4e91\u5bf9\u8c61\u3002\u4f60\u53ef\u4ee5\u8bbe\u7f6e\u591a\u4e2a\u53c2\u6570\u6765\u5b9a\u5236\u8bcd\u4e91\uff0c\u4f8b\u5982\u8bcd\u4e91\u7684\u5f62\u72b6\u3001\u80cc\u666f\u989c\u8272\u3001\u5b57\u4f53\u5927\u5c0f\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;, colormap=&#39;viridis&#39;).generate(text)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u89e3\u91ca\u4e00\u4e0b\u8fd9\u4e9b\u53c2\u6570\uff1a<\/p>\n<\/p>\n<ul>\n<li><code>width<\/code> \u548c <code>height<\/code>\uff1a\u6307\u5b9a\u8f93\u51fa\u7684\u8bcd\u4e91\u56fe\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002<\/li>\n<li><code>background_color<\/code>\uff1a\u8bcd\u4e91\u56fe\u7684\u80cc\u666f\u989c\u8272\u3002<\/li>\n<li><code>colormap<\/code>\uff1a\u8bcd\u4e91\u56fe\u7684\u989c\u8272\u5730\u56fe\uff0c\u53ef\u4ee5\u9009\u62e9&#39;viridis&#39;\u3001&#39;plasma&#39;\u3001&#39;inferno&#39;\u7b49\u3002<\/li>\n<\/ul>\n<p><p><strong>\u6ce8\u610f\uff1a<\/strong>\u5982\u679c\u4f60\u8981\u4f7f\u7528\u7279\u5b9a\u5f62\u72b6\u7684\u8bcd\u4e91\u56fe\uff08\u4f8b\u5982\u4e00\u4e2a\u7279\u5b9a\u5f62\u72b6\u7684\u56fe\u7247\uff09\uff0c\u4f60\u9700\u8981\u5148\u52a0\u8f7d\u8be5\u5f62\u72b6\u7684\u56fe\u7247\u5e76\u751f\u6210\u4e00\u4e2a\u63a9\u7801\uff08mask\uff09\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">mask = np.array(Image.open(&#39;your_mask_image.png&#39;))<\/p>\n<p>wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;, mask=mask, colormap=&#39;viridis&#39;).generate(text)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u56db\u3001\u663e\u793a\u548c\u4fdd\u5b58\u8bcd\u4e91\u56fe<\/h2>\n<\/p>\n<p><p>\u751f\u6210\u8bcd\u4e91\u56fe\u4e4b\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528<code>matplotlib<\/code>\u6765\u663e\u793a\u8bcd\u4e91\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.figure(figsize=(10, 5))<\/p>\n<p>plt.imshow(wordcloud, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u60f3\u4fdd\u5b58\u8bcd\u4e91\u56fe\uff0c\u53ef\u4ee5\u4f7f\u7528<code>to_file<\/code>\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">wordcloud.to_file(&#39;wordcloud.png&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u6837\uff0c\u4f60\u5c31\u5b8c\u6210\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u8bcd\u4e91\u56fe\u7684\u5236\u4f5c\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u89e3\u91ca\u6bcf\u4e2a\u90e8\u5206\u5e76\u4ecb\u7ecd\u4e00\u4e9b\u9ad8\u7ea7\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h2>\u4e94\u3001\u8be6\u7ec6\u8bb2\u89e3\u8bcd\u4e91\u751f\u6210\u8fc7\u7a0b<\/h2>\n<\/p>\n<p><h3>1\u3001\u5904\u7406\u6587\u672c\u6570\u636e<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0c\u6587\u672c\u6570\u636e\u5f80\u5f80\u4f1a\u6bd4\u8f83\u6742\u4e71\uff0c\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u9884\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53bb\u9664\u505c\u7528\u8bcd\u3001\u7edf\u4e00\u5927\u5c0f\u5199\u3001\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u6587\u672c\u9884\u5904\u7406\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import re<\/p>\n<p>from collections import Counter<\/p>\n<p>from wordcloud import STOPWORDS<\/p>\n<h2><strong>\u53bb\u9664\u6807\u70b9\u7b26\u53f7\u548c\u6570\u5b57<\/strong><\/h2>\n<p>text = re.sub(r&#39;\\W+&#39;, &#39; &#39;, text)<\/p>\n<p>text = re.sub(r&#39;\\d+&#39;, &#39; &#39;, text)<\/p>\n<h2><strong>\u5c06\u6587\u672c\u8f6c\u4e3a\u5c0f\u5199<\/strong><\/h2>\n<p>text = text.lower()<\/p>\n<h2><strong>\u53bb\u9664\u505c\u7528\u8bcd<\/strong><\/h2>\n<p>stopwords = set(STOPWORDS)<\/p>\n<p>text = &#39; &#39;.join([word for word in text.split() if word not in stopwords])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u81ea\u5b9a\u4e49\u8bcd\u4e91\u5f62\u72b6<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528\u9ed8\u8ba4\u7684\u77e9\u5f62\u5f62\u72b6\uff0c\u4f60\u8fd8\u53ef\u4ee5\u81ea\u5b9a\u4e49\u8bcd\u4e91\u7684\u5f62\u72b6\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u4e00\u5f20\u56fe\u7247\u4f5c\u4e3a\u63a9\u7801\uff0c\u4f7f\u8bcd\u4e91\u56fe\u5448\u73b0\u51fa\u7279\u5b9a\u7684\u5f62\u72b6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">mask = np.array(Image.open(&#39;path_to_mask_image.png&#39;))<\/p>\n<p>wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;, mask=mask, contour_width=3, contour_color=&#39;steelblue&#39;).generate(text)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>contour_width<\/code>\u548c<code>contour_color<\/code>\u5206\u522b\u7528\u6765\u8bbe\u7f6e\u8bcd\u4e91\u56fe\u7684\u8f6e\u5ed3\u5bbd\u5ea6\u548c\u989c\u8272\u3002<\/p>\n<\/p>\n<p><h3>3\u3001\u8bbe\u7f6e\u5b57\u4f53<\/h3>\n<\/p>\n<p><p>\u4f60\u53ef\u4ee5\u8bbe\u7f6e\u8bcd\u4e91\u56fe\u4e2d\u5355\u8bcd\u7684\u5b57\u4f53\u6837\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u7279\u5b9a\u7684ttf\u5b57\u4f53\u6587\u4ef6\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;, font_path=&#39;path_to_font.ttf&#39;).generate(text)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>4\u3001\u751f\u6210\u591a\u79cd\u4e0d\u540c\u7684\u8bcd\u4e91<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u4f60\u53ef\u80fd\u9700\u8981\u751f\u6210\u591a\u4e2a\u4e0d\u540c\u7684\u8bcd\u4e91\uff0c\u4ee5\u4fbf\u6bd4\u8f83\u4e0d\u540c\u7684\u6548\u679c\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u4e0d\u540c\u7684\u53c2\u6570\u6765\u751f\u6210\u591a\u79cd\u4e0d\u540c\u7684\u8bcd\u4e91\u56fe\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u751f\u6210\u4e0d\u540c\u989c\u8272\u6620\u5c04\u7684\u8bcd\u4e91\u56fe<\/p>\n<p>wordcloud1 = WordCloud(width=800, height=400, background_color=&#39;white&#39;, colormap=&#39;plasma&#39;).generate(text)<\/p>\n<p>wordcloud2 = WordCloud(width=800, height=400, background_color=&#39;white&#39;, colormap=&#39;inferno&#39;).generate(text)<\/p>\n<h2><strong>\u663e\u793a\u8bcd\u4e91\u56fe<\/strong><\/h2>\n<p>plt.figure(figsize=(10, 5))<\/p>\n<p>plt.subplot(1, 2, 1)<\/p>\n<p>plt.imshow(wordcloud1, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.subplot(1, 2, 2)<\/p>\n<p>plt.imshow(wordcloud2, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>5\u3001\u751f\u6210\u8bcd\u9891\u7edf\u8ba1\u8868<\/h3>\n<\/p>\n<p><p>\u8bcd\u4e91\u56fe\u80cc\u540e\u7684\u6570\u636e\u662f\u8bcd\u9891\u7edf\u8ba1\u3002\u4f60\u53ef\u4ee5\u751f\u6210\u8bcd\u9891\u7edf\u8ba1\u8868\uff0c\u4ee5\u4fbf\u4e86\u89e3\u6587\u672c\u4e2d\u5355\u8bcd\u7684\u51fa\u73b0\u9891\u7387\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from collections import Counter<\/p>\n<p>word_counts = Counter(text.split())<\/p>\n<p>common_words = word_counts.most_common(10)<\/p>\n<p>print(&quot;Top 10 common words:&quot;)<\/p>\n<p>for word, count in common_words:<\/p>\n<p>    print(f&quot;{word}: {count}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h2>\u516d\u3001\u9ad8\u7ea7\u5e94\u7528\u548c\u4f18\u5316<\/h2>\n<\/p>\n<p><h3>1\u3001\u7ed3\u5408\u591a\u79cd\u6570\u636e\u6e90<\/h3>\n<\/p>\n<p><p>\u6709\u65f6\u4f60\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u4e2a\u6570\u636e\u6e90\u6765\u751f\u6210\u8bcd\u4e91\u56fe\u3002\u4f8b\u5982\uff0c\u7ed3\u5408\u591a\u4e2a\u6587\u4ef6\u3001\u7f51\u9875\u5185\u5bb9\u6216\u8005\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import requests<\/p>\n<p>from bs4 import BeautifulSoup<\/p>\n<p>urls = [&#39;http:\/\/example.com\/page1&#39;, &#39;http:\/\/example.com\/page2&#39;]<\/p>\n<p>text = &#39;&#39;<\/p>\n<p>for url in urls:<\/p>\n<p>    response = requests.get(url)<\/p>\n<p>    soup = BeautifulSoup(response.content, &#39;html.parser&#39;)<\/p>\n<p>    text += soup.get_text()<\/p>\n<h2><strong>\u751f\u6210\u8bcd\u4e91<\/strong><\/h2>\n<p>wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;).generate(text)<\/p>\n<h2><strong>\u663e\u793a\u8bcd\u4e91<\/strong><\/h2>\n<p>plt.figure(figsize=(10, 5))<\/p>\n<p>plt.imshow(wordcloud, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2\u3001\u4f18\u5316\u8bcd\u4e91\u56fe\u7684\u7f8e\u89c2\u5ea6<\/h3>\n<\/p>\n<p><p>\u751f\u6210\u7684\u8bcd\u4e91\u56fe\u53ef\u80fd\u9700\u8981\u4e00\u4e9b\u8c03\u6574\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u7f8e\u89c2\u5ea6\u3002\u4f8b\u5982\uff0c\u8c03\u6574\u5355\u8bcd\u7684\u6392\u5217\u65b9\u5f0f\u3001\u4f18\u5316\u8bcd\u4e91\u56fe\u7684\u989c\u8272\u3001\u8bbe\u7f6e\u5355\u8bcd\u51fa\u73b0\u7684\u6700\u5c0f\u9891\u7387\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;, max_words=100, min_font_size=10, max_font_size=50, random_state=42).generate(text)<\/p>\n<p>plt.figure(figsize=(10, 5))<\/p>\n<p>plt.imshow(wordcloud, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3\u3001\u7ed3\u5408\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u6280\u672f<\/h3>\n<\/p>\n<p><p>\u5728\u751f\u6210\u8bcd\u4e91\u56fe\u4e4b\u524d\uff0c\u53ef\u4ee5\u7ed3\u5408\u4e00\u4e9b\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u6280\u672f\uff0c\u4ee5\u63d0\u9ad8\u8bcd\u4e91\u56fe\u7684\u8d28\u91cf\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>nltk<\/code>\u5e93\u8fdb\u884c\u8bcd\u5f62\u8fd8\u539f\u3001\u547d\u540d\u5b9e\u4f53\u8bc6\u522b\u7b49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import nltk<\/p>\n<p>from nltk.corpus import wordnet<\/p>\n<p>from nltk.tokenize import word_tokenize<\/p>\n<p>from nltk.stem import WordNetLemmatizer<\/p>\n<p>nltk.download(&#39;punkt&#39;)<\/p>\n<p>nltk.download(&#39;wordnet&#39;)<\/p>\n<h2><strong>\u8bcd\u5f62\u8fd8\u539f<\/strong><\/h2>\n<p>lemmatizer = WordNetLemmatizer()<\/p>\n<p>tokens = word_tokenize(text)<\/p>\n<p>tokens = [lemmatizer.lemmatize(token) for token in tokens]<\/p>\n<p>text = &#39; &#39;.join(tokens)<\/p>\n<p>wordcloud = WordCloud(width=800, height=400, background_color=&#39;white&#39;).generate(text)<\/p>\n<p>plt.figure(figsize=(10, 5))<\/p>\n<p>plt.imshow(wordcloud, interpolation=&#39;bilinear&#39;)<\/p>\n<p>plt.axis(&#39;off&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u901a\u8fc7\u7ed3\u5408NLP\u6280\u672f\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5904\u7406\u6587\u672c\u6570\u636e\uff0c\u4ece\u800c\u751f\u6210\u66f4\u52a0\u7cbe\u786e\u548c\u7f8e\u89c2\u7684\u8bcd\u4e91\u56fe\u3002<\/p>\n<\/p>\n<p><h2>\u603b\u7ed3<\/h2>\n<\/p>\n<p><p>\u4f7f\u7528Python3\u5236\u4f5c\u8bcd\u4e91\u56fe\u662f\u4e00\u9879\u975e\u5e38\u6709\u8da3\u4e14\u5b9e\u7528\u7684\u6280\u80fd\u3002\u901a\u8fc7\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u51c6\u5907\u548c\u5904\u7406\u6587\u672c\u6570\u636e\u3001\u521b\u5efa\u8bcd\u4e91\u5bf9\u8c61\u3001\u663e\u793a\u548c\u4fdd\u5b58\u8bcd\u4e91\u56fe\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u751f\u6210\u5404\u79cd\u7f8e\u89c2\u7684\u8bcd\u4e91\u56fe\u3002\u9ad8\u7ea7\u5e94\u7528\u548c\u4f18\u5316\u90e8\u5206\u63d0\u4f9b\u4e86\u4e00\u4e9b\u66f4\u4e3a\u590d\u6742\u548c\u4e13\u4e1a\u7684\u6280\u5de7\uff0c\u4f8b\u5982\u7ed3\u5408\u591a\u79cd\u6570\u636e\u6e90\u3001\u4f18\u5316\u8bcd\u4e91\u56fe\u7684\u7f8e\u89c2\u5ea6\u548c\u7ed3\u5408\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u638c\u63e1\u4f7f\u7528Python3\u751f\u6210\u8bcd\u4e91\u56fe\u7684\u6280\u5de7\uff0c\u5e76\u80fd\u591f\u7075\u6d3b\u5e94\u7528\u5230\u4f60\u7684\u9879\u76ee\u4e2d\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5f00\u59cb\u4f7f\u7528Python3\u5236\u4f5c\u8bcd\u4e91\u56fe\uff1f<\/strong><br \/>\u8981\u5236\u4f5c\u8bcd\u4e91\u56fe\uff0c\u60a8\u9700\u8981\u5b89\u88c5\u4e00\u4e9b\u5fc5\u9700\u7684\u5e93\uff0c\u4f8b\u5982<code>wordcloud<\/code>\u548c<code>matplotlib<\/code>\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a  <\/p>\n<pre><code>pip install wordcloud matplotlib\n<\/code><\/pre>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u6587\u672c\u6570\u636e\u521b\u5efa\u8bcd\u4e91\u3002\u9996\u5148\uff0c\u5bfc\u5165\u6240\u9700\u7684\u5e93\u5e76\u52a0\u8f7d\u6587\u672c\u6570\u636e\uff0c\u63a5\u7740\u4f7f\u7528<code>WordCloud<\/code>\u7c7b\u751f\u6210\u8bcd\u4e91\u5e76\u4f7f\u7528<code>matplotlib<\/code>\u5c55\u793a\u7ed3\u679c\u3002<\/p>\n<p><strong>\u5236\u4f5c\u8bcd\u4e91\u56fe\u65f6\u9700\u8981\u51c6\u5907\u54ea\u4e9b\u6570\u636e\uff1f<\/strong><br \/>\u5236\u4f5c\u8bcd\u4e91\u56fe\u7684\u5173\u952e\u5728\u4e8e\u6587\u672c\u6570\u636e\u7684\u9009\u62e9\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u4efb\u4f55\u5f62\u5f0f\u7684\u6587\u672c\uff0c\u5982\u6587\u7ae0\u3001\u8bc4\u8bba\u6216\u793e\u4ea4\u5a92\u4f53\u5e16\u5b50\u3002\u786e\u4fdd\u6587\u672c\u6570\u636e\u7684\u8d28\u91cf\u8f83\u9ad8\uff0c\u53bb\u9664\u65e0\u610f\u4e49\u7684\u8bcd\u6c47\uff08\u5982\u201c\u7684\u201d\u3001\u201c\u662f\u201d\u7b49\u5e38\u7528\u8bcd\uff09\u5c06\u4f7f\u8bcd\u4e91\u66f4\u5177\u53ef\u8bfb\u6027\u548c\u5438\u5f15\u529b\u3002\u53ef\u4ee5\u4f7f\u7528<code>nltk<\/code>\u5e93\u8fdb\u884c\u6587\u672c\u9884\u5904\u7406\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u81ea\u5b9a\u4e49\u8bcd\u4e91\u56fe\u7684\u6837\u5f0f\u5417\uff1f<\/strong><br \/>\u7edd\u5bf9\u53ef\u4ee5\uff01<code>wordcloud<\/code>\u5e93\u5141\u8bb8\u7528\u6237\u81ea\u5b9a\u4e49\u591a\u79cd\u6837\u5f0f\uff0c\u5305\u62ec\u5b57\u4f53\u3001\u989c\u8272\u3001\u80cc\u666f\u548c\u5f62\u72b6\u7b49\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u8bbe\u7f6e<code>colormap<\/code>\u53c2\u6570\u6765\u9009\u62e9\u4e0d\u540c\u7684\u989c\u8272\u65b9\u6848\uff0c\u6216\u4f7f\u7528<code>mask<\/code>\u53c2\u6570\u6765\u5b9a\u4e49\u8bcd\u4e91\u7684\u5f62\u72b6\u3002\u901a\u8fc7\u8fd9\u4e9b\u81ea\u5b9a\u4e49\u9009\u9879\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa\u72ec\u7279\u4e14\u7f8e\u89c2\u7684\u8bcd\u4e91\u56fe\uff0c\u7b26\u5408\u60a8\u7684\u9700\u6c42\u4e0e\u5ba1\u7f8e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python3\u505a\u8bcd\u4e91\u56fe \u4f7f\u7528Python3\u5236\u4f5c\u8bcd\u4e91\u56fe\u9700\u8981\u5b89\u88c5wordcloud\u5305\u3001\u51c6\u5907\u6587\u672c\u6570\u636e\u3001\u5904\u7406\u6570\u636e [&hellip;]","protected":false},"author":3,"featured_media":1083975,"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\/1083961"}],"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=1083961"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1083961\/revisions"}],"predecessor-version":[{"id":1083976,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1083961\/revisions\/1083976"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1083975"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1083961"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1083961"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1083961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}