在Python中利用wordcloud生成词云

一、生成汉字词云图的代码如下：

from wordcloud import WordCloud
import matplotlib.pyplot as plt #绘制图像的模块
import jieba     #jieba分词
 
path_txt='E://python/all.txt'

f = open(path_txt,'r',encoding='UTF-8').read()
 
# 结巴分词，生成字符串，wordcloud无法直接生成正确的中文词云
cut_text = " ".join(jieba.cut(f))
 
wordcloud = WordCloud(
 #设置字体，不然会出现口字乱码，文字的路径是电脑的字体一般路径，可以换成别的
 font_path="C:/Windows/Fonts/simfang.ttf",
 #设置了背景，宽高
 background_color="white",width=1000,height=880).generate(cut_text)
 
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()

　

说明：

1、其中path_txt的值为生成词云文件的所在路径。

2、字符串界定符前面加字母r或R表示原始字符串，其中的特殊字符不需要进行转义，但字符串的最后一个字符不能是符号。

3、通过pip install 安装所需要的模块。例如 pip install wordcloud ,pip install jieba, pip install matplotlib。其中在电脑的命令提示符中输入即可。

4、plt.axis("off")意思是关闭轴线和标签，与假一样。

二、生成英文词云

1、简单例子

from wordcloud import WordCloud
import matplotlib.pyplot as plt

f = open('E:/Python/练习/sports.txt','r').read()
wordcloud = WordCloud(background_color = "white" , width = 1000 , height = 860 , margin = 2).generate(f)
plt.imshow(wordcloud)
plt.axis("off")
plt.show()

　　

2、设置字体的颜色的例子

from wordcloud import (WordCloud , get_single_color_func)
import matplotlib.pyplot as plt

class SimpleGroupedColorFunc(object):
    def __init__(self , color_to_words,default_color):
        self.word_to_color = {word:color
                              for(color , words) in color_to_words.items()
                              for word in words}
        self.default_color = default_color

    def __call__(self , word , **kwargs):
         
         return self.word_to_color.get(word , self.default_color)
        
class GroupedColorFunc(object):
     
     def __init__(self , color_to_words , default_color):
         self.color_func_to_words = [
             (get_single_color_func(color) , set(words))
             for (color , words) in color_to_words.items()]
         
         self.default_color_func = get_single_color_func(default_color)
         
     def get_color_func(self , word):
         try:         
             color_func = next(
                 color_func for (color_func , words) in self.color_func_to_words
                 if word in words)
         except StopIteration:
             color_func = self.default_color_func
         return color_func

     def __call__(self , word , **kwargs):
         
         return self.get_color_func(word)(word , **kwargs)

f = open('E:/Python/练习/sports.txt','r').read()
wc = WordCloud( width = 1000 , height = 860 , collocations = False ).generate(f)


color_to_words ={
    '#00ff00':['important','beat','minute','proud','frist','coach'
        ],
    'red':['Chinese','win','team','said','goal','header'
        ],
     'yellow':['Japan','Korea','South','China'
             ]

    }
default_color = 'grey'

grouped_color_func = GroupedColorFunc(color_to_words , default_color)

wc.recolor(color_func = grouped_color_func)


plt.imshow(wc , interpolation = "bilinear")
plt.axis("off")
plt.show()

python os.path模块常用方法详解：https://www.jianshu.com/p/d77ef16a38c3

参考于：https://blog.csdn.net/cskywit/article/details/79285988