詞頻統計和詞云繪製

import os

os.chdir(r'd:\\'
)text=
text1=
''for root,dirs,files in os.walk(r'd:\綠色金融文字庫'
):    for i in files:
path=os.path.join(root,i)
with open(path,'r',encoding=
'gb18030',errors=
'ignore'
) as f:
text=f.readline(
)            text1=text1+text
text1=text1.replace(
' ',''
)text1=text1.replace(
'新華社記者',''
)text1=text1.replace(
'中國',''
)text1=text1.replace(
'月',''
)text1=text1.replace(
'近日',''
)text1=text1.replace(
'日',''
)text1=text1.replace(
'年',''
)text1=text1.replace(
'中',''
)text1=text1.replace(
'\n',''
)

stopwords =

.fromkeys(
[line.rstrip(
)for line in open(r'd:\stopword.txt',encoding=
'utf-8',errors=
'ignore')]
)

import jieba

strings=jieba.cut(text1)
str=
''for i in strings:
if i not in stopwords:
str+=i

str1=jieba.cut(str)

import collections

word_counts = collections.counter(str1)
# 對分詞做詞頻統計
word_counts_top50 = word_counts.most_common(50)
# 獲取排名前50的詞
最後生成詞云，這裡需要引入wordcloud包：
from wordcloud import wordcloud

wc= wordcloud(background_color =
"black",max_words = 300,font_path=
'c:/windows/fonts/simkai.ttf',min_font_size = 15,max_font_size = 50,width = 600,height = 600)
wc.generate_from_frequencies(word_counts)
wc.to_file(
"wordcoud.png"
)
				
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