`from wordcloud import WordCloud
    import jieba
    from jieba.analyse import textrank
    from PIL import Image
    import numpy as np
    # 对英文句子
    _def a1():
    # s = “I from china,you from usa”
    _s = “Connect with developers from around the world for thoughtful discussions, learn from Google experts, and get a first look at our latest developer products.”
    wd = WordCloud()
    wd.generate(s)
    img = wd.to_image()
    img.show()

    # 对中文句子
    _def a2():
    s = “这些现代工具和资源可协助您在各种 Android 设备上打造深受用户喜爱的更快捷、轻松的体验。”
    fs = textrank(s)     # 通过jieba提供的已训练完成的模型提取关键词
    print(“fs = “,fs)
    with open(“baidu_stopwords.txt”,’r’,encoding=’utf-8’) as f:
    stopwords = [word.strip() for word in f]     # 过滤停用词
    fs = [w for w in fs if w not in stopwords and len(w) > 1] # 过滤单个字的词
    bg = Image.open(‘wkong.png’) # 导入背景图（不添加背景图生成的词云图默认为方形）
    bg = np.array(bg) # 背景图矩阵化
    _wd = WordCloud(font_path=’simhei’,mask=bg,background_color=’white’)
    wd.generate(str(fs))
    img = wd.to_image()
    img.show()`
    image.png
    image.png