else:
print eval(cmd)
elif st == 'g' or st == 'go':
status = True
for code in top_dif[:10].index:
code = re.findall('(\d+)', code)
if len(code) > 0:
code = code[0]
kind = sl.get_multiday_ave_compare_silent(code)
elif st == 'clear' or st == 'c':
top_all = pd.DataFrame()
status = False
elif st == 'w' or st == 'a':
codew = (top_dif.index).tolist()
if st == 'a':
cct.write_to_blocknew(block_path, codew[:10])
# sl.write_to_blocknew(all_diffpath, codew)
else:
cct.write_to_blocknew(block_path, codew[:10], False)
# sl.write_to_blocknew(all_diffpath, codew, False)
print "wri ok:%s" % block_path
# time.sleep(2)
else:
sys.exit(0)
except (IOError, EOFError, Exception) as e:
print "Error", e
traceback.print_exc()
# raw_input("Except")
'999999', dl=int(duration_date))
# print duration_date
ct.PowerCountdl = duration_date
set_duration_console(du_date)
time_s = time.time()
status = False
top_all = pd.DataFrame()
lastpTDX_DF = pd.DataFrame()
elif st.startswith('w') or st.startswith('a'):
args = cct.writeArgmain().parse_args(st.split())
codew = stf.WriteCountFilter(top_temp,
duration=duration_date,
writecount=args.dl)
if args.code == 'a':
cct.write_to_blocknew(block_path, codew)
# sl.write_to_blocknew(all_diffpath, codew)
else:
cct.write_to_blocknew(block_path, codew, False)
# sl.write_to_blocknew(all_diffpath, codew, False)
print "wri ok:%s" % block_path
cct.sleeprandom(ct.duration_sleep_time / 2)
elif st.startswith('sh'):
while 1:
input = cct.cct_raw_input("code:")
if len(input) >= 6:
args = parser.parse_args(input.split())
if len(str(args.code)) == 6:
# print args.code
if args.code in top_temp.index.values:
lhg.get_linear_model_histogram(
gold_f = pd.DataFrame(code_l)
down_f = pd.DataFrame(code_d)
print("timeSearch:%s" % (time.time() - time_s))
print("gold:%s %s :%s" % (mk, len(gold_f), gold_f.iloc[:1, 0:2]))
print("down:%s %s :%s" % (mk, len(down_f), down_f.iloc[:1, 0:2]))
return gold_f, down_f
# result = cct.to_mp_run(get_market_status, ['sh', 'sz'])
# df = pd.DataFrame()
# for x in result:
# df = df.append(x)
# print len(df)
# df.iloc[:, 0:2].to_csv('stock-Line-%s.csv'%today, encoding='utf8')
type = 'l'
start = '2016-01-18'
# start = None
market = 'sh'
df_u, df_d = get_market_status(market, type, start)
if not type == 'l':
if len(df_u) > 0:
print("Type: %s wri gold:%s %s" % (type, len(df_u.index.tolist()), block_path))
df_u.iloc[:, 0:2].to_csv(
'stock-Line-%s.csv' % today, encoding='utf8')
cct.write_to_blocknew(block_path, df_u.index.tolist(), False)
else:
if len(df_u) > 0:
print("Type: %s wri down:%s %s" % (type, len(df_d.index.tolist()), block_path_d))
df_d.iloc[:, 0:2].to_csv(
'stock-Line-down-%s.csv' % today, encoding='utf8')
cct.write_to_blocknew(block_path_d, df_d.index.tolist(), False)
filter = dl[3]
else:
dt = ""
if len(str(dt)) > 0:
if len(str(dt)) < 8:
duration_date = tdd.get_duration_price_date("999999", dl=dt, ptype=ptype)
else:
duration_date = dt
top_all = pd.DataFrame()
time_s = time.time()
status = False
lastpTDX_DF = ""
elif st == "w" or st == "a":
codew = (top_dd.index).tolist()
if st == "a":
cct.write_to_blocknew(block_path, codew)
# sl.write_to_blocknew(all_diffpath, codew)
else:
cct.write_to_blocknew(block_path, codew, False)
# sl.write_to_blocknew(all_diffpath, codew, False)
print "wri ok:%s" % block_path
# time.sleep(2)
else:
sys.exit(0)
except (IOError, EOFError, Exception) as e:
print "Error", e
traceback.print_exc()
"""
{symbol:"sz000001",code:"000001",name:"平安银行",trade:"0.00",pricechange:"0.000",changepercent:"0.000",buy:"12.36",sell:"12.36",settlement:"12.34",open:"0.00",high:"0.00",low:"0",volume:0,amount:0,ticktime:"09:17:55",per:7.133,pb:1.124,mktcap:17656906.355526,nmc:14566203.350486,turnoverratio:0},
code_l.append(df.loc[code, :])
elif df.loc[code, 'trade'] != 0 and lenday > 200:
df.loc[code, 'diff'] = abs(diff)
code_d.append(df.loc[code, :])
gold_f = pd.DataFrame(code_l).sort_values(by=['diff'], ascending=[0])
down_f = pd.DataFrame(code_d).sort_values(by=['diff'], ascending=[0])
print("timeSearch:%s" % (time.time() - time_s))
print("gold:%s %s :%s" % (mk, len(gold_f), gold_f.iloc[:1, 0:2]))
print("down:%s %s :%s" % (mk, len(down_f), down_f.iloc[:1, 0:2]))
return gold_f, down_f
# result = cct.to_mp_run(get_market_status, ['sh', 'sz'])
# df = pd.DataFrame()
# for x in result:
# df = df.append(x)
# print len(df)
# df.iloc[:, 0:2].to_csv('stock-Line-%s.csv'%today, encoding='utf8')
type = 'l'
df_u, df_d = get_market_status('cyb', type)
if not type == 'l':
if len(df_u) > 0:
print("wri gold:%s %s" % (len(df_u.index.tolist()), block_path))
df_u.iloc[:, 0:2].to_csv(
'stock-Line-%s.csv' % today, encoding='utf8')
cct.write_to_blocknew(block_path, df_u.index.tolist(), False)
else:
if len(df_u) > 0:
print("wri down:%s %s" % (len(df_d.index.tolist()), block_path_d))
df_d.iloc[:, 0:2].to_csv(
'stock-Line-down-%s.csv' % today, encoding='utf8')
cct.write_to_blocknew(block_path_d, df_d.index.tolist(), False)
