def __init__(self,retry=5,local=False):
if local:
for i in range(retry):
try:
self.bases_save = ts.get_stock_basics()
# print(self.bases_save)
self.bases_save=self.bases_save.reset_index()
self.bases_save.to_csv('bases.csv')
self.bases_save.to_sql('bases',engine,if_exists='replace')
if self.bases_save:
break
except Exception as e:
if i>=4:
self.bases_save=pd.DataFrame()
exit()
continue
else:
self.bases_save = pd.read_sql('bases',engine,index_col='index')
self.base=self.bases_save
# 因为网速问题，手动从本地抓取
self.today = time.strftime("%Y-%m-%d", time.localtime())
# self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
self.all_code = self.base['code'].values
self.working_count = 0
self.mystocklist = Toolkit.read_stock('mystock.csv')
def __init__(self,retry=5,local=False):
if local:
for i in range(retry):
try:
self.bases_save = ts.get_stock_basics()
# print(self.bases_save)
self.bases_save=self.bases_save.reset_index()
self.bases_save.to_csv('bases.csv')
self.bases_save.to_sql('bases',engine,if_exists='replace')
if self.bases_save:
break
except Exception as e:
if i>=4:
self.bases_save=pd.DataFrame()
exit()
continue
else:
self.bases_save = pd.read_sql('bases',engine,index_col='index')
self.base=self.bases_save
# 因为网速问题，手动从本地抓取
self.today = time.strftime("%Y-%m-%d", time.localtime())
# self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
self.all_code = self.base['code'].values
self.working_count = 0
self.mystocklist = Toolkit.read_stock('mystock.csv')
def __init__(self):
path=os.path.join(os.getcwd(),'data')
if os.path.exists(path)==False:
os.mkdir(path)
print("Please put data under data folder")
exit()
os.chdir(path)
self.stockList=Toolkit.read_stock('mystock.csv')
self.bases=pd.read_csv('bases.csv',dtype={'code':np.str})
def __init__(self):
self.bases_save=ts.get_stock_basics()
self.bases_save.to_csv('bases.csv')
# 因为网速问题，手动从本地抓取
self.today = time.strftime("%Y-%m-%d", time.localtime())
self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
self.all_code = self.base['code'].values
self.working_count=0
self.mystocklist = Toolkit.read_stock('mystock.csv')
def __init__(self):
#self.bases=ts.get_stock_basics()
#self.bases.to_csv('bases.csv')
# 因为网速问题，手动从本地抓取
self.today = time.strftime("%Y-%m-%d", time.localtime())
self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
self.all_code = self.base['code'].values
self.working_count = 0
self.mystocklist = Toolkit.read_stock('mystock.csv')
def __init__(self):
#self.base=ts.get_stock_basics()
# print self.base
# print self.base.index
# 这里编码有问题
# self.bases.to_excel('bases.xls')
# self.bases.to_excel('base.xls',encoding='GBK')
# self.bases.to_excel('111.xls',encoding='utf8')
#self.base.to_csv('bases.csv')
# 因为网速问题，手动从本地抓取
# self.base=pd.read_csv('bases.csv',dtype={'code':np.str})
# print self.base
# self.today=datetime.datetime.strftime('%Y-%m-%d')
self.today = time.strftime("%Y-%m-%d", time.localtime())
self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
self.all_code = self.base['code'].values
self.working_count = 0
# all_code=self.base.index.values
# print self.base
self.mystocklist = Toolkit.read_stock('mystock.csv')
def __init__(self):
self.mystock = Toolkit.read_stock('mystock.csv')
self.base = pd.read_csv('bases.csv', dtype={'code': np.str})
def __init__(self):
self.mystock=Toolkit.read_stock('mystock.csv')
self.base=pd.read_csv('bases.csv',dtype={'code': np.str})
