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853天前import jieba |
import matplotlib as mpl |
import matplotlib.pyplot as plt |
from wordcloud import WordCloud |
#输出词频 |
#文件夹位置 |
txt = r"C:\Users\hua'wei\Desktop\zt\text.txt" |
txt1 = open(txt,"rb").read()#文件夹位置 |
words = jieba.lcut(txt1) |
counts = {} |
for word in words: |
if len(word) == 1: |
continue |
else: |
counts[word] = counts.get(word,0) + 1 |
items = list(counts.items()) |
items.sort(key=lambda x:x[1],reverse=True) |
for i in range(10): |
word,count= items[i] |
print("{0:<10}{1:>5}".format(word,count)) |
#打印云图 |
#定义一个空字符串 |
final = "" |
#txt = r"C:\Users\hua'wei\Desktop\zt\text.txt" |
#打开文件夹，读取内容，并进行分词 |
with open(txt,'r',encoding = 'utf-8') as f: |
for line in f.readlines(): |
word = jieba.cut(line) |
for i in word: |
final = final + i +" " |
##图云打印 |
word_pic = WordCloud( |
#设置背景颜色 |
background_color='white', |
#设置最大显示词云数 |
max_words=500, |
#设置字体 |
font_path = r'C:\Windows\Fonts\simkai.ttf', |
width = 2000, |
height = 1000, |
#设置字体最大值 |
max_font_size=300, |
# 设置有多少种随机生成状态，即有多少种配色方案 |
random_state=100 |
).generate(final) |
plt.imshow(word_pic) |
#去掉坐标轴 |
plt.axis('off') |
#保存图片到相应文件夹 |
plt.savefig(r"C:\Users\hua'wei\Desktop\zt\zt.png") |
