词云其实就是就是对网络文本中出现频率较高的〝关键词〞予以视觉上的突出,形成〝关键词云层〞或〝关键词渲染〞从而过滤掉大量的文本信息
词云也是数据可视化的一种形式。给出一段文本，根据关键词的出现频率而生成的一幅图像，人们只要扫一眼就能够明白其文章主旨。
词云图
从给出的文本中，进行分词处理，然后将每个词出现的的频率进行统计从给出的背景图片上，读出图片信息将文本按照出现的频率进行画图，出现频率越高，字体设置越大
你听懂了吗
jieba模块：用来进行分词处理PIL模块：用来进行图片处理wordcloud模块：用来进行生成词云
#!/usr/bin/env python
# encoding: utf-8
import jieba
import numpy as np
import PIL.Image as Image
from wordcloud import WordCloud
class wordCloud:
'''
This is a main Class, the file contains all documents.
One document contains paragraphs that have several sentences
It loads the original file and converts the original file to new content
Then the new content will be saved by this class
'''
def __init__(self):
self.bg_img = 'assets/picture.jpeg'
self.word_path = 'assets/word.txt'
def hello(self):
'''
This is a welcome speech
:return: self
'''
print('*' * 50)
print(' ' * 20 + '词云制作')
print(' ' * 5 + 'Author: autofelix Date: 2022-01-17 13:14')
print('*' * 50)
return self
def run(self):
'''
The program entry
'''
with open(self.word_path, 'r') as f:
word = f.read()
cut_word = ' '.join(jieba.cut(word))
color_mask = np.array(Image.open(self.bg_img))
word_cloud = WordCloud(
# 设置字体，不指定就会出现乱码
font_path='/System/Library/Fonts/PingFang.ttc',
# 设置背景色
background_color='white',
# 词云形状
mask=color_mask,
# 允许最大词汇
max_words=120,
# 最大号字体
max_font_size=2000
).generate(cut_word)
word_cloud.to_file('word_cloud.jpg')
im = word_cloud.to_image()
im.show()
if __name__ == '__main__':
wordCloud().hello().run()
