def _get_mkcode(code='', asset='E', xapi=None):
mkcode = ''
if asset == 'E':
mkcode = ct._market_code(code)
elif asset == 'INDEX':
mkcode = ct._idx_market_code(code)
else:
if os.path.exists(ct.INST_PLK_F):
mks = pd.read_pickle(ct.INST_PLK_F)
else:
mks = get_instrument(xapi)
mks.to_pickle(ct.INST_PLK_F)
mkcode = mks[mks.code == code]['market'].values[0]
return mkcode
def _get_mkcode(code='', asset='E', xapi=None):
mkcode = ''
if asset == 'E':
mkcode = ct._market_code(code)
elif asset == 'INDEX':
mkcode = ct._idx_market_code(code)
else:
if os.path.exists(ct.INST_PLK_F):
mks = pd.read_pickle(ct.INST_PLK_F)
else:
mks = get_instrument(xapi)
mks.to_pickle(ct.INST_PLK_F)
mkcode = mks[mks.code == code]['market'].values[0]
return mkcode
stockgem = ts.get_gem_classified()
stockgem.to_excel('stockgem.xls')
conn = ts.get_apis()
tp = ts.bar('600000',
conn,
start_date='2018-08-15',
end_date='2018-09-15',
freq='XD',
asset='E',
adj='qfq')
ts.get_k_data()
df = ts.bar('600000', conn)
print(ts.get_h_data('600000', start='2018-09-25', end='2018-10-10'))
print(df)
df.drop(columns=['p_change'], inplace=True)
df['p_change']
print(df['vol'])
ts.MA()
stock_basics = ts.get_stock_basics()
stock_data = pd.DataFrame()
for code in stock_basics.index:
stock_data_temp = ts.bar(code,
conn,
start_date='2018-09-25',
end_date='2018-10-10')
print(stock_data_temp)
mkcode = ts.get_mkcode(code='600000', asset='E', xapi=None)
ct._market_code('600000')
print(tp['vol'] * 100)
192361952.0
