Python 制作《本草纲目》词云 - 代码详解

要制作《本草纲目》词云，你需要使用以下步骤：\n\n1. 安装所需的库：\n \npip install wordcloud jieba matplotlib\n \n\n2. 导入所需的库：\n python\nimport jieba\nfrom wordcloud import WordCloud\nimport matplotlib.pyplot as plt\n \n\n3. 读取《本草纲目》文本文件：\n python\nwith open('本草纲目.txt', 'r', encoding='utf-8') as f:\n text = f.read()\n \n\n4. 使用jieba进行中文分词：\n python\nwords = jieba.lcut(text)\n \n\n5. 过滤停用词：\n python\nstopwords = ['的', '和', '是', '在', '之', '以', '为', '与', '有', '这', '等', '对', '于', '及', '其', '中', '年', '月', '日', '草', '纲', '目']\nwords = [word for word in words if word not in stopwords]\n \n\n6. 统计词频：\n python\nword_counts = {}\nfor word in words:\n if word in word_counts:\n word_counts[word] += 1\n else:\n word_counts[word] = 1\n \n\n7. 创建词云图：\n python\nwordcloud = WordCloud(font_path='msyh.ttc', width=800, height=600, background_color='white').generate_from_frequencies(word_counts)\n \n\n8. 显示词云图：\n python\nplt.imshow(wordcloud, interpolation='bilinear')\nplt.axis('off')\nplt.show()\n \n\n请确保将《本草纲目》的文本文件保存为本草纲目.txt，并放在与Python程序相同的目录中。