3-3

In [2]:

import pymongo
 import charts
 from datetime import timedelta,date
 

In [10]:

client = pymongo.MongoClient('localhost', 27017)
 ceshi = client['ceshi']
 item_info = ceshi['item_infoS']
 

In [4]:

def get_all_dates(date1,date2):
 the_date = date(int(date1.split('.')[0]),int(date1.split('.')[1]),int(date1.split('.')[2]))
 end_date = date(int(date2.split('.')[0]),int(date2.split('.')[1]),int(date2.split('.')[2]))
 days = timedelta(days=1)
 
 
while the_date <= end_date:
    yield (the_date.strftime('%Y.%m.%d'))
    the_date = the_date + days
 
 

In [14]:

def get_data_within(date1,date2,cates):
 for cate in cates: # 第一次循环得到列表中的单个日期
 cate_day_posts = [] # 创建一个列表，时间段内每天的发帖数量装进这个列表中
 for date in get_all_dates(date1,date2):
 a = list(item_info.find({'pub_date':date,'cates':cate}))
 each_day_post = len(a)
 cate_day_posts.append(each_day_post)
 data = {
 'name': cate,
 'data': cate_day_posts,
 'type': 'line'
 }
 yield data
 

In [22]:

for i in get_data_within('2016.01.01','2016.01.07',['北京二手手机','北京二手笔记本','北京二手台式机']):
 print(i)
 

{'data': [82, 105, 118, 103, 92, 96, 110], 'name': '北京二手手机', 'type': 'line'}
 {'data': [46, 53, 53, 84, 50, 70, 75], 'name': '北京二手笔记本', 'type': 'line'}
 {'data': [20, 20, 16, 12, 29, 30, 22], 'name': '北京二手台式机', 'type': 'line'}
 

In [23]:

options = {
 'chart' : {'zoomType':'xy'},
 'title' : {'text': '发帖量统计'},
 'subtitle': {'text': '可视化统计图表'},
 'xAxis' : {'categories': [i for i in get_all_dates('2016.01.01','2016.01.07')]},
 'yAxis' : {'title': {'text': '数量'}}
 }
 
 
series = [i for i in get_data_within('2016.01.01','2016.01.07',['北京二手手机','北京二手笔记本','北京二手台式机'])]
 
 
charts.plot(series, options=options,show='inline')
 # options=dict(title=dict(text='Charts are AWESOME!!!'))
 

Out[23]:

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