def getIndexLineDayDatas(self, indexCode, startDate, endDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.index_daily(ts_code=indexCode,
start_date=startDate,
end_date=endDate)
return pd.DataFrame(data)
def getTargetDayDatas(self, stockCode, startDate, endDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.daily_basic(ts_code=stockCode,
start_date=startDate,
end_date=endDate)
return pd.DataFrame(data)
def getStockBasicData(self):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.stock_basic(
fields=
'ts_code,symbol,name,area,industry,fullname,enname,market,exchange,curr_type,list_status,list_date,delist_date,is_hs'
)
dataFormat = pd.DataFrame(data)
newDataDict = dict()
for index, row in dataFormat.iterrows():
index ## 这行代码没意义，为了去除警告而写。强迫症，不想看到有警告。
bean = StockBasicBean()
bean.tsCode = row["ts_code"]
bean.symbol = row["symbol"]
bean.name = row["name"]
bean.area = row["area"]
bean.industry = row["industry"]
bean.fullname = row["fullname"]
bean.enname = row["enname"]
bean.market = row["market"]
bean.exchange = row["exchange"]
bean.currType = row["curr_type"]
bean.listStatus = row["list_status"]
bean.listDate = row["list_date"]
bean.deListDate = row["delist_date"]
bean.isHZ = row["is_hs"]
newDataDict.setdefault(row["ts_code"], bean)
return newDataDict
def getMarketIndexDayTargetDatas(self, tsCode, startDate, endDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.index_dailybasic(ts_code=tsCode,
start_date=startDate,
end_date=endDate)
return pd.DataFrame(data)
def getKLineMonthDatas(self, stockCode, startDate, endDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.monthly(ts_code=stockCode,
start_date=startDate,
end_date=endDate)
return pd.DataFrame(data)
def getAlgorithmDatas(self, stockCode, startDate, endDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.daily(ts_code=stockCode,
start_date=startDate,
end_date=endDate)
return pd.DataFrame(data)
def getIndexLineDayBasicDatas(self, market):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.index_basic(market=market, fields='ts_code, base_date')
return pd.DataFrame(data)
def __getNameChangeDatas(self, tsCode):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.namechange(ts_code=tsCode)
return np.array(data).tolist()
def getSuspendDatas(self, stockCode, suspendDate):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.suspend(ts_code=stockCode, suspend_date=suspendDate)
return pd.DataFrame(data)
def getReinstatedDatas( self, stockCode, adj, startDate, endDate ):
api = TushareAPI().getTushareAPI()
data = ts.pro_bar( api=api, ts_code= stockCode, adj=adj, start_date = startDate, end_date = endDate )
return pd.DataFrame( data )
def getStockAccountOpenDatas( self, startDate, endDate ):
tsPro = TushareAPI().getTushareAPI()
data = tsPro.stk_account( start_date = startDate, end_date = endDate )
return pd.DataFrame( data )