def countCiYun():
comments = mongoutil.getCollection1()
print('数据总条数count:', comments.estimated_document_count())
# pymongo.cursor.Cursor
cursor = comments.find()
# 遍历数据，把所有comment的字符都拼到一起
text = ''.join(map(lambda doc: doc.get('comment'), cursor))
#用户自定义分词
jieba.load_userdict(r'../analysis/user_dict.txt')
#屏蔽关键词列表
analyse.set_stop_words(r'../analysis/stopwords.txt')
m = collections.Counter(text)
tags = analyse.extract_tags(text, topK=40, withWeight=False)
#词云所有词列表
new_text = ' '.join(tags)
#countFinalWordsList(text,new_text)
# 对分词文本生成词云
# 生成词云，需要指定支持中文的字体，否则无法生成中文词云
wc = WordCloud(
max_words=200, # 设置词云最大单词数
width=1099, # 设置词云图片宽、高
height=724,
# 设置词云文字字体(美化和解决中文乱码问题)
font_path=r'../example/fonts/FZXingKai-S04S.TTF').generate(new_text)
# 绘图(标准长方形图)
pyplot.imshow(wc, interpolation='bilinear')
pyplot.figure()
pyplot.axis('off')
wc.to_file(r'../static/images/wc_8_changanCS35PLUS.png')
#coding:utf-8
from pyecharts import Pie
import sys
from config import mongoutil
#HU交互（大屏）用户体验统计
reload(sys)
sys.setdefaultencoding('utf-8')
comments = mongoutil.getCollection1()
print('数据记录条数count:', comments.estimated_document_count())
cursor = comments.find()
text = ''.join(map(lambda doc: doc.get('comment'), cursor))
attr = [
"难用", "反应慢", "易死机", "更新快", "设计高大上", "难看", "交互差", "交互好", "上手快", "上手慢", "易用"
]
v1 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for index, i in enumerate(attr):
attri = attr[index]
print attri
count = text.count(attri)
v1[index] = count
print v1
#HU交互（大屏）用户体验统计
pie = Pie("")
pie.add(
"",
attr,