def tq_usrDatXed(qx, dfu):
df2 = zdat.df_kcut8tim(dfu, '', qx.btTim0Str, qx.btTim9Str)
#
clst = qx.stkCodeLst
nlst = list(map(lambda x: x + '_num', clst))
mlst = list(map(lambda x: x + '_money', clst))
dlst = list(df2.columns)
#+['stk-val']
xlst = dlst + nlst + mlst
#print('xlst',xlst)
#
df3 = pd.DataFrame(columns=xlst)
df3[dlst] = df2
#
dfq = qx.trdLib
dfq = zdat.df_kcut8tim(qx.trdLib, '', qx.btTim0Str, qx.btTim9Str)
#dfq=dfq[dfq.index>=qx.btTim0St]
#dfq=dfq[dfq.index<=qx.btTim9Str]
#
for xsgn in nlst:
dfq[xsgn] = 0
#
for xtim, row in dfq.iterrows():
upools = row['upools']
#print(xtim,'#',upools)
for xcod in upools:
xnum = tq_usrPoolsGet(upools, xcod, 'num9')
df3.ix[xtim, xcod + '_num'] = xnum
#
#
df3 = df3.fillna(method='pad')
#
for xcod in clst:
mss, nss = xcod + '_money', xcod + '_num'
df3[mss] = df3[xcod] * df3[nss]
#
df3['stk-val'] = df3[mlst].sum(axis=1)
df3['total'] = df3['stk-val'] + df3['cash']
#
#
#print('df3.tail()')
#print(df3.tail())
x = df3.tail(1)
x2 = x['total'].values[0]
k = round(x2 / qx.usrMoney0 * 100, 2)
#
return df3, k
def tq_usrDatXedFill(qx, dfu):
#df2=zdat.df_kcut8tim(dfu,'',qx.btTim0Str,qx.btTim9Str)
#df2=dfu[dfu.index>=tim0Str]
#df2=df2[df2.index<=tim9Str]
#print('df2.tail()')
#print(df2.tail())
#
#xcod=qx.wrkInxCod
#df=qx.inxPools[xcod]
#
df9 = pd.DataFrame()
clst = qx.stkCodeLst
mlst = list(map(lambda x: x + '_money', clst))
#
#df=qx.wrkInxDat
ksgn = qx.priceSgn
df9['inx'] = qx.wrkInxDat[ksgn]
df9['cash'] = dfu['cash']
#
for xcod in clst:
nss, mss = xcod + '_num', xcod + '_money'
#nss=xcod+'_num'
#df9[xcod],df9[nss],df9[mss]=dfu[xcod],dfu[nss],dfu[mss]
df = qx.stkPools[xcod]
df9[xcod], df9[nss] = df[ksgn], dfu[nss]
df9[mss] = df9[xcod] * df9[nss]
#
df9 = df9.fillna(method='pad')
df9[mss] = df9[xcod] * df9[nss]
df9['stk-val'] = df9[mlst].sum(axis=1)
df9['total'] = df9['stk-val'] + df9['cash']
#
df9 = zdat.df_kcut8tim(df9, '', qx.btTim0Str, qx.btTim9Str)
#
xlst = ['inx', 'total'] + clst
#df9[xlst]=df9[xlst]
df = df9[xlst]
df.index = pd.DatetimeIndex(df.index)
#
return df
#7 chk.dat
print('\n7.1 tq_pools_chk')
ztq.tq_pools_call(qx,ztq.tq_pools_chk)
print('\n#7.2,plot inx -->tmp/tmp_.html')
xinx,df=qx.wrkInxCod,qx.wrkInxDat
hdr,fss='k线图-inx '+xinx,'tmp/tmp_'+xinx+'.html'
df2=df.tail(100)
zdr.drDF_cdl(df2,ftg=fss,m_title=hdr)
print('\n#7.3,plot stk-->tmp/tmp_.html')
xcod,df=qx.wrkStkCod,qx.wrkStkDat
hdr,fss='k线图-stk '+xcod,'tmp/tmp_'+xcod+'.html'
df2=df.tail(100)
zdr.drDF_cdl(df2,ftg=fss,m_title=hdr)
#8
print('\n#8.1,stk.merge')
df9=ztq.tq_usrPoolsMerge(qx)
print('\n#8.2,dat,cut')
df2=zdat.df_kcut8tim(df9,'',tim0Str,tim9Str)
zt.prDF('\n#df2',df2)
print('\n#8.3,rebase')
dfx=df2.rebase()
zt.prDF('\n#dfx',dfx)
print('\n#8.4,plot,rebase')
dfx.plot()