标签：制作 odi orm users range 显示 imp http 分析
1.我希望老师能讲一点python在数据挖掘，数据分析领域的应用，最好能举些实例，或者说带我们实际操作一波。
2.中文分词
import jieba book = "活着.txt" txt = open(book,"r",encoding=‘utf-8‘).read() ex = {‘有庆‘,‘我们‘,‘知道‘,‘看到‘,‘自己‘,‘起来‘} 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)) wz = open(‘ms.txt‘,‘w+‘) wz.write(str(ls)) import matplotlib.pyplot as plt from wordcloud import WordCloud wzhz = WordCloud().generate(txt) plt.imshow(wzhz) plt.show()
输出结果：
Building prefix dict from the default dictionary ... Loading model from cache C:\Users\ADMINI~1\AppData\Local\Temp\jieba.cache Loading model cost 0.723 seconds. Prefix dict has been built succesfully. 家珍 575 凤霞 413 二喜 175 队长 166 什么 151 他们 148 一个 145 看着 115 孩子 114 没有 113
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标签：制作 odi orm users range 显示 imp http 分析
原文地址：http://www.cnblogs.com/xypbk/p/7591109.html
