运用jieba库分词

代码：

统计出团队中文简介中词频

import jieba

txt=open("C:\Users\Administrator\Desktop\介绍.txt","r",encoding='utf-8').read()

words=jieba.lcut(txt)

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(5):

    word,count=items[i]

print("{0:<10}{1:>5}".format(word,count))

画出词频分布图：

import numpy as np

import matplotlib.pyplot as plt

fracs = [5,4,4,4,4]

labels = 'xiwang', 'daima', 'biancheng','meiyou','xingqu'

explode = [ 0.1,0,0,0,0]

plt.axes(aspect=1)

plt.pie(x=fracs, labels=labels, explode=explode,autopct='%3.1f %%',

        shadow=True, labeldistance=1.1, startangle = 90,pctdistance = 0.6)

plt.show()

简介用词特点：能体现队员的特点，让大家更加充分了解每一个队员的兴趣，能力，以及想要负责的工作，更好地为团队做出贡献。