课堂练习（词频统计）

希望曾老师讲的内容

没有什么意见，希望可以讲一下大数据的就业前景，就业的薪资待遇。

小说词频统计

import jieba

book = "F:\最强升级系统.txt"
txt = open(book,"r",encoding=‘GBK‘).read()

ex = {‘神仙‘,‘系统‘,‘狂暴‘,‘玩家‘,‘提示‘,‘龙飞‘}

ls = []
words = jieba.lcut(txt)
counts = {}
for word in words:
    ls.append(word)
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word,0)+1

for word in ex:
    del(counts[word])

items = list(counts.items())
items.sort(key = lambda x:x[1], reverse = True)
for i in range(10):
    word , count = items[i]
    print ("{:<10}{:>5}".format(word,count))

lk = open(‘lk.txt‘,‘w+‘)
lk.write(str(ls))

import matplotlib.pyplot as plt
from wordcloud import WordCloud

wzhz = WordCloud().generate(txt)
plt.imshow(wzhz)
plt.show()

================ RESTART: C:/Users/Administrator/Desktop/1.py ================
Building prefix dict from the default dictionary ...
Dumping model to file cache C:\Users\ADMINI~1\AppData\Local\Temp\jieba.cache
Loading model cost 0.814 seconds.
Prefix dict has been built succesfully.
没有           41
乔乔           31
恭喜           26
战士           23
李三           22
修炼           21
一个           20
废物           18
蛤蟆功          18
妖兽           17