def get_all_hot():
try:
gold = {}
goldl = []
# df = ts.get_today_all()
# top = df[df['changepercent'] > 6]
# top = top[top['changepercent'] <11]
# print "top:", len(top['code'])
codes="000893,002351,000705,002451,002515,002279,002679,002761,600895,000532,002113,002438,600235,600210,600857".split(',')
print codes
# for code in top['code']:
for code in codes:
dtick = ts.get_today_ticks(code)
d_hist = ema.getdata_ema_trend(code, '10', 'd')
# print d_hist
day_t = ema.get_today()
# if len(dtick.index) == 0:
# dtick=d_hist[]
if day_t in d_hist.index:
dl = d_hist.drop(day_t).index
else:
dl = d_hist.index
# print dl
# print dl
ep_list = []
for da in dl.values:
# print da
td = ts.get_tick_data(code, da)
# print td
if len(td) > 0:
ep = td['amount'].sum() / td['volume'].sum()
ep_list.append(ep)
# print ("D: %s P: %s"%(da,ep))
total_ave = ema.less_average(ep_list)
all_max=max(ep_list)
if len(dtick.index) > 0:
ep = dtick['amount'].sum() / dtick['volume'].sum()
if ep >= all_max:
gold[code] = d_hist
goldl.append(code)
print ("Gold:%s ep:%s ave:%s max:%s" % (code, ep, total_ave,all_max))
except (IOError, EOFError, KeyboardInterrupt):
# print "key"
# print "break"
print "why"
return
import stock.JohhnsonUtil.emacount as ema
# get now hot 10
date_top = {}
# df = ts.get_today_all()
# top=df[df['changepercent'] > 9.9]
# for code in top['code']:
tick_mean = []
for code in ["601608"]:
dtick = ts.get_today_ticks(code)
d_hist = ema.getdata_ema_trend(code, "10", "d")
# print d_hist
day_t = ema.get_today()
if day_t in d_hist.index:
dl = d_hist.drop(day_t).index
else:
dl = d_hist.index
# print dl
# print dl
for da in dl.values:
# print da
td = ts.get_tick_data(code, da)
# print td
ep = td["amount"].sum() / td["volume"].sum()
print ("D: %s P: %s" % (da, ep))
ep = dtick["amount"].sum() / dtick["volume"].sum()
print "today: ", ep
# print top_count