使用Pandas 函式..
讀取檔案指定的行

软件开发平台及语言笔记大全(超详细)

抓三大法人的網頁資料

TEST OK

#! /usr/bin/python
# -*- coding: utf-8 -*-
import requests
import pandas as pd
import sys
import sqlite3 as lite
from bs4 import BeautifulSoup as bs
from datetime import date,datetime, timedelta 
reload(sys)
sys.setdefaultencoding('utf-8')

payload = {
'qdate':'105/05/06',
'select2':'ALL',
'sorting':'by_issue'    
}

#日期轉換函式
def getTWDate(dt):
    year = int(dt.strftime('%Y')) - 1911
    monthdate = dt.strftime('%m/%d')
    ymd = '{}/{}'.format(year, monthdate)
    return ymd

def getTradingVolume(dt):
    payload['qdate'] = getTWDate(dt)
    res = requests.post('http://www.twse.com.tw/ch/trading/fund/T86/T86.php', data=payload)
    soup = bs(res.text, 'html5lib')
    tbl = soup.select('#tbl-sortable')[0]
    dfs = pd.read_html(tbl.prettify('utf-8'), encoding='utf-8')
    stockdf = dfs[0]
    stockdf['ymd'] = dt
    return stockdf

# 批次執行30天的資料
payload['select2'] = '24'
dfs = []
currenttime = datetime.now() 
for i in range(1,30):
    dt = currenttime.date() - timedelta(days = i) 
    dfs.append(getTradingVolume(dt))
    #print dt,

# 合併所有的Data Frame
stockdf = pd.concat(dfs, ignore_index=True)
#print stockdf.head()

# 篩選出臺積電股票
#print stockdf[stockdf[u'證券  代號'.decode('utf-8')] == 2330].head()

# 使用Pandas 將資料塞進資料庫
with lite.connect('finance.sqlite') as db:
    stockdf.to_sql(name='trading_volume', index=False, con=db, if_exists='replace')

# 使用Pandas 下SQL 查詢資料
with lite.connect('finance.sqlite') as db:
    df = pd.read_sql_query('SELECT count(1) FROM trading_volume;', db)
    print df
    


'''
import requests
from bs4 import BeautifulSoup as bs
import pandas as pd
from datetime import date,datetime, timedelta 

payload = {
'qdate':'105/05/06',
'select2':'ALL',
'sorting':'by_issue'    
}

res = requests.post('http://www.twse.com.tw/ch/trading/fund/T86/T86.php', data=payload)
#print res.text

soup = bs(res.text, 'html5lib')
tbl = soup.select('#tbl-sortable')[0]
dfs = pd.read_html(tbl.prettify('utf-8'), encoding='utf-8')
stockdf = dfs[0]
#print stockdf.head()
#print stockdf
'''

查詢 sqlite

#! /usr/bin/python
# -*- coding: utf-8 -*-
import pandas as pd
import sys
import sqlite3 as lite
reload(sys)
sys.setdefaultencoding('utf-8')

# 使用Pandas 下SQL 查詢資料
with lite.connect('finance.sqlite') as db:
    #df = pd.read_sql_query('SELECT count(1) FROM trading_volume;', db)
    #df = pd.read_sql_query('SELECT "證券  代號" FROM trading_volume;', db)
    df = pd.read_sql_query('SELECT "證券  名稱" FROM trading_volume;', db)
    print df
    

抓三大法人統計表，出處來自大數學堂http://course.largitdata.com/course/31/
只能說david是神，有機會看到要拜

第一步是抓三大法人的網頁內容
import requests
res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
res.encoding = 'big5'
print res.text

用beautifulsoup分析
import requests
from bs4 import BeautifulSoup
res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
res.encoding = 'big5'
soup = BeautifulSoup (res.text)
print soup.select('.board_trad')

只抓tr裡面的td
import requests
from bs4 import BeautifulSoup
res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
res.encoding = 'big5'
soup = BeautifulSoup (res.text)
for tr in soup.select('.board_trad tr')[2:]:
     for td in tr.select('td'):
        print td.text
最後的整理
import requests
from bs4 import BeautifulSoup
res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
res.encoding = 'big5'
soup = BeautifulSoup (res.text)
for tr in soup.select('.board_trad tr')[2:]:
    td = tr.select('td')
    print td[0].text,td[1].text,td[2].text,td[3].text

時間str是整理成字串
from datetime import date,timedelta
today = date.today()
for i in range(1,10):
    today = today + timedelta(days=-1)
    print str(today).split('-')

設定多組的時間，'-'.join代表插入'-'且只顯示括號內的值
from datetime import date,timedelta
today = date.today()
for i in range(1,10):
    today = today + timedelta(days=-1)
    dayary = str(today).split('-')
    print '-'.join([str(int(dayary[0]) - 1911), dayary[1],dayary[2]])

抓取多天的數據
import requests
from bs4 import BeautifulSoup
from datetime import date,timedelta
#res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
url = 'http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date={0}&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701'
def getTradeValue(dt):
    res = requests.get(url.format(dt))
    res.encoding = 'big5'
    soup = BeautifulSoup (res.text)
    for tr in soup.select('.board_trad tr')[2:]:
        td = tr.select('td')
        print td[0].text,td[1].text,td[2].text,td[3].text
       

today = date.today()
for i in range(1,10):
    today = today + timedelta(days=-1)
    dayary = str(today).split('-')
    dt = '%2F'.join([str(int(dayary[0]) - 1911), dayary[1],dayary[2]])
    getTradeValue(dt)

加上日期的資訊
import requests
from bs4 import BeautifulSoup
from datetime import date,timedelta
#res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
url = 'http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date={0}&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701'
def money_conversion(input_ele):
    return int(''.join(input_ele.split(',')))

def getTradeValue(today):
    dayary = str(today).split('-')
    dt = '%2F'.join([str(int(dayary[0]) - 1911), dayary[1],dayary[2]])
    res = requests.get(url.format(dt))
    res.encoding = 'big5'
    soup = BeautifulSoup (res.text)
    for tr in soup.select('.board_trad tr')[2:]:
        td = tr.select('td')
        print td[0].text, money_conversion(td[1].text),money_conversion(td[2].text),money_conversion(td[3].text),today
       

today = date.today()
for i in range(1,10):
    today = today + timedelta(days=-1)

    getTradeValue(today)

用sqlite存到檔案，檔案要寫絕對路徑
import sqlite3 as lite
con = lite.connect('c:/finace.sqlite')
cur = con.cursor()
cur.execute("select * from InvestorTradingValue")
ret = cur.fetchone()
print ret
#cur.execute("insert into InvestorTradingValue(item,total_but,total_sell,difference,date) values('foreign',20,30,-10,'2013-05-05')")
#con.commit()
con.close()   

存檔資料及取檔資料(mark處是取檔資料)
import sqlite3 as lite
con = lite.connect('c:/finace.sqlite')
cur = con.cursor()
cur.execute("select * from InvestorTradingValue")
ret = cur.fetchone()
print ret
#cur.execute("insert into InvestorTradingValue(item,total_buy,total_sell,difference,date) values('foreign',20,30,-10,'2013-05-05')")
#con.commit()
con.close()

存到sqlite中

import requests
from bs4 import BeautifulSoup
from datetime import date,timedelta
import sqlite3 as lite

#cur.execute("insert into InvestorTradingValue(item,total_buy,totol_sell,difference,date) values('foreign',20,30,-10,'2013-05-05')")
#con.commit()
con.close()   
#res = requests.get('http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date=104%2F07%2F22&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701')
url = 'http://www.twse.com.tw/ch/trading/fund/BFI82U/BFI82U.php?report1=day&input_date={0}&mSubmit=%ACd%B8%DF&yr=2015&w_date=20150720&m_date=20150701'
sql = "insert into InvestorTradingValue(item,total_buy,totol_sell,difference,date) values(?,?,?,?,?)"
def money_conversion(input_ele):
    return int(''.join(input_ele.split(',')))

def getTradeValue(cur,today):
    dayary = str(today).split('-')
    dt = '%2F'.join([str(int(dayary[0]) - 1911), dayary[1],dayary[2]])
    res = requests.get(url.format(dt))
    res.encoding = 'big5'
    soup = BeautifulSoup (res.text)
    for tr in soup.select('.board_trad tr')[2:]:
        td = tr.select('td')
        ret = [td[0].text, money_conversion(td[1].text),money_conversion(td[2].text),money_conversion(td[3].text),today]
        cur.execute(sql,ret)
con = lite.connect('c:/finace.sqlite')
cur = con.cursor()


today = date.today()
for i in range(1,10):
    today = today + timedelta(days=-1)
    getTradeValue(cur,today)
con.commit()   
con.close()
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