python生成词云
介绍
使用python生成自己需要的词云，词云形状可以根据图片自定义
完整地址点击跳转
软件架构
PyCharm 2021.2.3 (Professional Edition)
内部版本号 #PY-212.5457.59，October 19, 2021 构建
运行时版本: 11.0.12+7-b1504.40 x86_64
VM: OpenJDK 64-Bit Server VM，JetBrains s.r.o.
macOS 12.1
安装教程
下载压缩包，解压后整个导入编译器中
使用说明
下载所需要的拓展库（依次输入下载语句）
pip install wordcloud
pip install jieba
# setting paths fname_text = 'texts/article.txt' #你需要生成词云的文件地址 fname_stop = 'hit_stopwords.txt' #分词文件地址，不能动 fname_mask = 'owl.jpeg' #生成词云所用的背景地址 fname_font = 'simhei.ttf' #生成词云文字的字体地址，可更改自己需要的字体
完整代码
import numpy as np from wordcloud import WordCloud, ImageColorGenerator # , STOPWORDS import matplotlib.pyplot as plt from PIL import Image import jieba # cutting Chinese sentences into words def plt_imshow(x, ax=None, show=True): if ax is None: fig, ax = plt.subplots() ax.imshow(x) ax.axis("off") if show: plt.show() return ax def count_frequencies(word_list): freq = dict() for w in word_list: if w not in freq.keys(): freq[w] = 1 else: freq[w] += 1 return freq if __name__ == '__main__': # setting paths fname_text = '商务英语特征与翻译难点探讨.txt' fname_stop = 'hit_stopwords.txt' fname_mask = 'touxiang.JPG' fname_font = 'simhei.ttf' # read in texts (an article) text = open(fname_text, encoding='utf8').read() # Chinese stop words STOPWORDS_CH = open(fname_stop, encoding='utf8').read().split() # processing texts: cutting words, removing stop-words and single-charactors word_list = [ w for w in jieba.cut(text) if w not in set(STOPWORDS_CH) and len(w) > 1 ] freq = count_frequencies(word_list) # processing image im_mask = np.array(Image.open(fname_mask)) im_colors = ImageColorGenerator(im_mask) # generate word cloud wcd = WordCloud(font_path=fname_font, # font for Chinese charactors background_color='white', mode="RGBA", mask=im_mask, ) # wcd.generate(text) # for English words wcd.generate_from_frequencies(freq) wcd.recolor(color_func=im_colors) # visualization ax = plt_imshow(wcd, ) ax.figure.savefig(f'single_wcd.png', bbox_inches='tight', dpi=150) fig, axs = plt.subplots(1, 2) plt_imshow(im_mask, axs[0], show=False) plt_imshow(wcd, axs[1]) fig.savefig(f'conbined_wcd.png', bbox_inches='tight', dpi=150)
参与贡献者
- Cynthxxx
- 灿烂
