再次順手寫了一個爬蟲，把數(shù)據(jù)存在數(shù)據(jù)庫。然后利用time date模塊分析了每天的發(fā)帖數(shù)，利用charts做成表格。
要點(diǎn)：
1.爬蟲，requests，beautifulSoup的css選擇器
2.py連接數(shù)據(jù)庫操作insert_one，find（{}，{}），update（）等
3.charts表格使用，折現(xiàn)type：line，很方便。
4.time date模塊，理解了datetime是一個時間的類，timetelta是時間間隔，strptime,strftime，now等函數(shù)。詳見<a >廖雪峰datetime部分</a>

import requests,datetime,pymongo,charts
from bs4 import BeautifulSoup

client = pymongo.MongoClient('localhost',27017)
tieba = client['tieba']
time_list = tieba['time_list']
time2_list = tieba['time2_list']

#把日期存入數(shù)據(jù)庫
'''
start_url = 'https://tieba.baidu.com/p/5062169335?pn='
headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64; rv:53.0) Gecko/20100101 Firefox/53.0'
}
for i in range(1,14):
    try:     
        url = start_url + str(i)
        r = requests.get(url,timeout = 20,headers = headers)
        r.raise_for_status()
    except:
        print('erroe')
    soup = BeautifulSoup(r.text,'lxml')
    date = soup.select('div.post-tail-wrap > span:nth-of-type(4)')
    for each in date:
        time_list.insert_one({'date':each.text[:10]})
'''
#把數(shù)據(jù)從數(shù)據(jù)庫取出處理
index_time = []
count_time = []

start_day = datetime.date(2017,4,8)
end_day = datetime.date(2017,5,6)
days = datetime.timedelta(days=1)
while start_day <= end_day:
    index_time.append(start_day.strftime('%Y-%m-%d'))
    start_day +=days
#print(index_time)

for date in index_time:
    a = list(time_list.find({'date':date}))
    count_time.append(len(a))
#print(count_time)


options = {
    'chart'   : {'zoomType':'xy'},
    'title'   : {'text': '發(fā)帖量統(tǒng)計'},
    'subtitle': {'text': '可視化統(tǒng)計圖表'},
    'xAxis'   : {'categories': index_time},
    'yAxis'   : {'title': {'text': '數(shù)量'}}
    }
series = [{'data':count_time,'name':'在所有物是人非的','type':'line'}] #只統(tǒng)計了一個貼吧，可以統(tǒng)計多個貼吧，畫多條曲線
charts.plot(series,show = 'inline',options=options)

結(jié)果，由于charts是由js生成的，可以放大縮小觀看曲線，但不能保存，只能夠截個圖來看看了

圖片.png