import codecsimport matplotlib.pyplot as pltfrom pylab import mplmpl.rcParams['font.sans-serif'] = ['FangSong'] # 指定默認字體mpl.rcParams['axes.unicode_minus'] = False # 解決保存圖像是負號'-'顯示為方塊的問題word = []counter = {}with codecs.open('data.txt') as fr: for line in fr:  line = line.strip()  if len(line) == 0:   continue  for w in line:   if not w in word:    word.append(w)   if not w in counter:    counter[w] = 0   else:    counter[w] += 1counter_list = sorted(counter.items(), key=lambda x: x[1], reverse=True)print(counter_list[:50])label = list(map(lambda x: x[0], counter_list[:50]))value = list(map(lambda y: y[1], counter_list[:50]))plt.bar(range(len(value)), value, tick_label=label)plt.show()

import sys reload(sys) sys.setdefaultencoding("utf-8")  import jieba import jieba.analyse  wf = open('clean_title.txt','w+') for line in open('/root/clean_data/clean_data.csv'):    item = line.strip('/n/r').split('/t') //制表格切分   # print item[1]   tags = jieba.analyse.extract_tags(item[1]) //jieba分詞   tagsw = ",".join(tags) //逗號連接切分的詞   wf.write(tagsw)  wf.close() 

#!/usr/bin/python # -*- coding:utf-8 -*-  word_lst = [] word_dict= {} with open('/root/clean_data/clean_title.txt') as wf,open("word.txt",'w') as wf2: //打開文件    for word in wf:     word_lst.append(word.split(',')) //使用逗號進行切分     for item in word_lst:        for item2 in item:         if item2 not in word_dict: //統計數量           word_dict[item2] = 1         else:           word_dict[item2] += 1    for key in word_dict:     print key,word_dict[key]     wf2.write(key+' '+str(word_dict[key])+'/n') //寫入文檔