def get_hot_count(changepercent):
allTop = pd.DataFrame()
for market in ct.SINA_Market_KEY:
df = rd.get_sina_Market_json(market, False)
# count=len(df.index)
# print df[:1]
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
# top=df[ df['changepercent'] <6]
print (
"%s topT: %s top>%s: %s " % (
f_print(4, market), f_print(3, len(topTen)), changepercent, f_print(4, len(top)))),
url = ct.DFCFW_FUND_FLOW_URL % ct.SINA_Market_KEY_TO_DFCFW[market]
log.debug("ffurl:%s" % url)
ff = ffu.get_dfcfw_fund_flow(url)
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
# zt=str(ff['time'])
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 比: %0.1f%%" % (
f_print(4, len(crashTen)), changepercent, f_print(4, len(crash)), zlr, zzb))
else:
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 比: %0.1f%% %s" % (
f_print(4, len(crashTen)), changepercent, f_print(4, len(crash))))
allTop = allTop.append(df, ignore_index=True)
df = allTop
count = len(df.index)
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
print (
u"\t\tA:%s topT:%s top>%s:%s" % (
f_print(4, count), f_print(3, len(topTen)), changepercent, f_print(4, len(top)))),
ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_ALL)
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
zt = str(ff['time'])
print (u"crashT:%s crash<-%s:%s 流入: %0.1f亿 占比: %0.1f%% %s" % (
f_print(3, len(crashTen)), changepercent, f_print(4, (len(crash))), zlr, zzb, zt))
else:
print (u"crashT:%s crash<-%s:%s" % (f_print(3, len(crashTen)), changepercent, f_print(4, len(crash))))
return allTop
def get_hot_countNew(changepercent,rzrq):
allTop = pd.DataFrame()
for market in ct.SINA_Market_KEY:
df = rd.get_sina_Market_json(market, False)
# count=len(df.index)
log.info("market:%s" % df[:1])
df = df.dropna()
if 'percent' in df.columns.values:
# and len(df[:20][df[:20]['percent']>0])>3:
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
else:
log.info("market No Percent:%s" % df[:1])
top = '0'
topTen = '0'
crashTen = '0'
crash = '0'
# top=df[ df['changepercent'] <6]
print (
"%s topT: %s top>%s: %s " % (
f_print(4, market), f_print(3, len(topTen)), changepercent, f_print(4, len(top)))),
# url = ct.DFCFW_FUND_FLOW_URL % ct.SINA_Market_KEY_TO_DFCFW[market]
# log.debug("ffurl:%s" % url)
print (u"crashT:%s crash<-%s:%s" % (f_print(4, len(crashTen)), changepercent, f_print(4, len(crash)))),
ff = ffu.get_dfcfw_fund_flow(market)
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
# zt=str(ff['time'])
# modfprint=lambda x:f_print(4,x) if x>0 else "-%s"%(f_print(4,str(x).replace('-','')))
# print modfprint(zlr)
# print (u"流入: %s亿 比: %s%%" % (modfprint(zlr), modfprint(zzb))),
print (u"流入: %s亿 比: %s%%" % (f_print(4, zlr), f_print(4, zzb))),
print (u"%s %s%s"%( f_print(4,ff['close']),f_print(1,'!' if ff['open'] > ff['lastp'] else '?'),f_print(2,'!!' if ff['close'] > ff['lastp'] else '??')))
allTop = allTop.append(df, ignore_index=True)
df = allTop
count = len(df.index)
top = df[df['percent'] > changepercent]['code']
topTen = df[df['percent'] > 9.9]['code']
crashTen = df[df['percent'] < -9.8]['code']
crash = df[df['percent'] < -changepercent]['code']
print (
u" \tA:%s topT:%s top>%s:%s" % (
f_print(4, count), f_print(3, len(topTen)), changepercent, f_print(4, len(top)))),
print (u"crashT:%s crash<-%s:%s" % (f_print(3, len(crashTen)), changepercent, f_print(4, len(crash)))),
ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_ALL)
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
zt = str(ff['time'])
print (u"流入: %s亿 占比: %s%% %s" % (f_print(4, zlr), f_print(4, zzb), f_print(4, zt)))
ff = ffu.get_dfcfw_fund_SHSZ()
hgt = ffu.get_dfcfw_fund_HGT()
log.debug("shzs:%s" % ff)
log.debug("hgt:%s" % hgt)
# if len(ff) > 0:
# print ("\tSH: %s u:%s vo: %s sz: %s u:%s vo: %s" % (
# f_print(4, ff['scent']), f_print(4, ff['sup']), f_print(5, ff['svol']), f_print(4, ff['zcent']),
# f_print(4, ff['zup']),
# f_print(5, ff['zvol']))),
if len(ff) > 0:
print (u"\tSh: %s Vr: %s Sz: %s Vr: %s " % (
f_print(4, ff['scent']), f_print(5, ff['svol']), f_print(4, ff['zcent']), f_print(5, ff['zvol']))),
if len(hgt) > 0:
print ("Hgt: %s Ggt: %s" % (hgt['hgt'], hgt['ggt']))
if len(rzrq) > 0:
print (u"\t\t\t\t\t Sh: %s sz: %s All: %s diff: %s亿" % (
f_print(5, rzrq['sh']), f_print(5, rzrq['sz']), f_print(4, rzrq['all']), f_print(5, rzrq['diff'])))
return allTop
def get_hot_countNew(changepercent, rzrq, fibl=None, fibc=10):
global fibcount
if fibcount == 0 or fibcount >= fibc:
if fibcount >= fibc:
fibcount = 1
else:
fibcount += 1
if fibl is not None:
int = 0
for f in fibl:
code, op, ra, daysData, fib, st = f[0], f[1], f[2], f[3], f[
4], f[5]
int += 1
if int % 2 != 0:
print "%s op:%s ra:%s d:%s fib:%s m5:%s %s" % (
code, f_print(3, op), f_print(
5, ra), f_print(2, daysData[0]), f_print(
3, fib), f_print(4, daysData[1]), st),
else:
print "%s op:%s ra:%s d:%s fib:%s m5:%s " % (
st, f_print(3, op), f_print(
5, ra), f_print(2, daysData[0]), f_print(
3, fib), f_print(4, daysData[1]))
else:
fibcount += 1
allTop = pd.DataFrame()
indexKeys = ['sh', 'sz', 'cyb']
ffindex = ffu.get_dfcfw_fund_flow('all')
ffall = {}
ffall['zlr'] = 0
ffall['zzb'] = 0
for market in indexKeys:
# market = ct.SINA_Market_KEY()
# df = rd.get_sina_Market_json(market, False)
df = sina_data.Sina().market(market)
# count=len(df.index)
log.info("market:%s" % df[:1])
df = df.dropna()
df = df[df.close > 0]
if 'percent' not in df.columns:
df['percent'] = map(lambda x, y: round((x - y) / y * 100, 1),
df.close.values, df.llastp.values)
if 'percent' in df.columns.values:
# and len(df[:20][df[:20]['percent']>0])>3:
# if 'code' in df.columns:
# top = df[df['percent'] > changepercent]
# topTen = df[df['percent'] > 9.9]
# crashTen = df[df['percent'] < -9.8]
# crash = df[df['percent'] < -changepercent]
# else:
top = df[df['percent'] > changepercent]
topTen = df[df['percent'] > 9.9]
crashTen = df[df['percent'] < -9.8]
crash = df[df['percent'] < -changepercent]
else:
log.info("market No Percent:%s" % df[:1])
top = '0'
topTen = '0'
crashTen = '0'
crash = '0'
# top=df[ df['changepercent'] <6]
print("%s topT: %s top>%s: %s " %
(f_print(4, market), f_print(
3, len(topTen)), changepercent, f_print(4, len(top)))),
# url = ct.DFCFW_FUND_FLOW_URL % ct.SINA_Market_KEY_TO_DFCFW[market]
# log.debug("ffurl:%s" % url)
print(u"crashT:%s crash<-%s:%s" % (f_print(
4, len(crashTen)), changepercent, f_print(4, len(crash)))),
ff = ffindex[market]
if len(ff) > 0:
zlr = float(ff['zlr'])
zzb = float(ff['zzb'])
ffall['zlr'] = ffall['zlr'] + zlr
ffall['zzb'] = ffall['zzb'] + zzb
# zt=str(ff['time'])
# modfprint=lambda x:f_print(4,x) if x>0 else "-%s"%(f_print(4,str(x).replace('-','')))
# print modfprint(zlr)
# print (u"流入: %s亿 比: %s%%" % (modfprint(zlr), modfprint(zzb))),
print(u"流入: %s亿 比: %s%%" % (f_print(4, zlr), f_print(4, zzb))),
print(u"%s %s%s" %
(f_print(4, ff['close']),
f_print(1, '!' if ff['open'] > ff['lastp'] else '?'),
f_print(2, '!!' if ff['close'] > ff['lastp'] else '??')))
allTop = allTop.append(df, ignore_index=True)
allTop = allTop.drop_duplicates()
df = allTop
count = len(df.index)
top = df[df['percent'] > changepercent]
topTen = df[df['percent'] > 9.9]
crashTen = df[df['percent'] < -9.8]
crash = df[df['percent'] < -changepercent]
print(u" \tA:%s topT:%s top>%s:%s" %
(f_print(4, count), f_print(
3, len(topTen)), changepercent, f_print(4, len(top)))),
print(u"crashT:%s crash<-%s:%s" %
(f_print(3, len(crashTen)), changepercent, f_print(4, len(crash)))),
# ff = ffu.get_dfcfw_fund_flow(ct.DFCFW_FUND_FLOW_ALL)
ffall['time'] = ff['time']
ff = ffall
zzb = 0
if len(ff) > 0:
zlr = round(float(ff['zlr']), 1)
zzb = round(float(ff['zzb']) / 3, 1)
zt = str(ff['time'])
print(u"流入: %s亿 占比: %s%% %s" %
(f_print(4, zlr), f_print(4, zzb), f_print(4, zt)))
ff = ffu.get_dfcfw_fund_SHSZ()
hgt = ffu.get_dfcfw_fund_HGT()
szt = ffu.get_dfcfw_fund_HGT(url=ct.DFCFW_FUND_FLOW_SZT)
log.debug("shzs:%s" % ff)
log.debug("hgt:%s" % hgt)
# if len(ff) > 0:
# print ("\tSH: %s u:%s vo: %s sz: %s u:%s vo: %s" % (
# f_print(4, ff['scent']), f_print(4, ff['sup']), f_print(5, ff['svol']), f_print(4, ff['zcent']),
# f_print(4, ff['zup']),
# f_print(5, ff['zvol']))),
if len(ff) > 0:
print(u"\t\tSh: %s Vr:%s Sz: %s Vr:%s " %
(f_print(4, ff['scent']), f_print(5, ff['svol']),
f_print(4, ff['zcent']), f_print(5, ff['zvol'])))
else:
print(u"\t\tSh: \t%s Vr: \t%s Sz: \t%s Vr: \t%s ") % (0, 0, 0, 0)
if len(hgt) > 0:
print("\t\tHgt: %s Ggt: %s Sgt: %s Gst: %s" %
(hgt['hgt'], hgt['ggt'], szt['hgt'], szt['ggt']))
else:
print("\t\tHgt: \t%s Ggt: \t%s Sgt: %s Gst: %s" % (0, 0, 0, 0))
if len(rzrq) > 0:
shpcent = round(
(rzrq['shrz'] / rzrq['sh'] * 100), 1) if rzrq['sh'] > 0 else '?'
szpcent = round(
(rzrq['szrz'] / rzrq['sz'] * 100), 1) if rzrq['sz'] > 0 else '?'
print(u"\tSh: %s rz:%s :%s%% sz: %s rz:%s :%s%% All: %s diff: %s亿" %
(f_print(5, rzrq['sh']), f_print(4, rzrq['shrz']), shpcent,
f_print(5, rzrq['sz']), f_print(4, rzrq['szrz']), szpcent,
f_print(4, rzrq['all']), f_print(5, rzrq['dff'])))
bigcount = rd.getconfigBigCount(count=None, write=True)
# print bigcount
cct.set_console(width,
height,
title=[
'B:%s-%s V:%s' %
(bigcount[0], bigcount[2], bigcount[1]),
'ZL: %s' % (zlr if len(ff) > 0 else 0),
'To:%s' % len(topTen),
'D:%s' % len(crash),
'Sh: %s ' % ff['scent'] if len(ff) > 0 else '?',
'Vr:%s%% ' % ff['svol'] if len(ff) > 0 else '?',
'MR: %s' % zzb,
'ZL: %s' % (zlr if len(ff) > 0 else '?')
])
return allTop
