def dataYes():
try:
client = Client()
client.init(
'4b35b6b552ea66ef08186d267e693c86ed4726227979720aac8fb2d42a1c242a')
url1 = '/api/market/getMktEqud.json?field=&beginDate=20170801&endDate=&secID=&ticker=000001&tradeDate='
code, result = client.getData(url1)
if code == 200:
print(result)
file_object = open('thefile.csv', 'w')
file_object.write(result)
file_object.close()
else:
print(code)
print(result)
except Exception as e:
traceback.print_exc()
raise e
@author: Administrator
"""
"""从通联因子数据(专业版)中提取移动平均线数据。
"""
from WindPy import w
w.start()
tradeDate = '20161010'
x = w.wset("sectorconstituent",
"date=" + tradeDate + ";sectorid=a001010f00000000")
##判断股票池是否
from dataapi import Client
import pandas as pd
client = Client()
client.init('e97fd48ed3ada633e20848c501fa018db3a52734767bfedc20ce0f1ac3aea723')
url = '/api/equity/getEqu.json?field=&ticker=&secID=&equTypeCD=A&listStatusCD=L'
code, result = client.getData(url)
stocklist = result['ticker'].tolist()
import time
t1 = time.time()
wrong_list = []
temp = pd.DataFrame()
for ticker in stocklist:
print(ticker)
try:
# url = '/api/market/getMktStockFactorsDateRangePro.json?field=ticker,tradeDate,pe&secID=&ticker='+ticker+'&beginDate=20020101&endDate=20160831'
# url = '/api/market/getMktStockFactorsOneDayPro.json?field=ticker,tradeDate&secID=&ticker='+ticker+'&beginDate=20070101&endDate=20160831'
def refresh(client, pause_sec):
time.sleep(pause_sec)
print 'sleeping'
client = Client()
client.init(token)
