
    at org.springframework.orm.hibernate5.LocalSessionFactoryBean.afterPropertiesSet(LocalSessionFactoryBean.java:423)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1767)
    at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1704)
   ... 97 more

Что я делаю не так?

A:

Бин не инжектится. Для этого используй @Autowired над полем. Или Использовать @PersistenceContext если будешь использовать Jpa.

 Q:

Add calculated Field between Pivot 'Columns' based on 'Values' data

I have a report that I am working on to show variance between two quarterly periods. I have an SQL query that I am reading into a pandas dataframe, and then pivoting. 
Here is my code for that piece:
    df = pd.read_sql_query(mtd_query, cnxn, params=[report_start, end_mtd, report_start, end_mtd, whse])
    ##(m-1)//3 + 1  Determine which Quarter each month is
    ## Create the "Period" column by combining the Quater and the Month
    df['QUARTER'] = (df['INV_MONTH'].astype(int) - 1)//3 + 1
    df['PERIOD'] = df['INV_YEAR'].astype(str) + 'Q' + df['QUARTER'].astype(int).astype(str)
    df['MARGIN'] = (df['PROFIT'].astype(float) / df['SALES'].astype(float))

    df = df.drop('INV_MONTH', axis=1)
    df = df.drop('INV_YEAR', axis=1)
    df = pd.pivot_table(df, index=['REP', 'REP_NAME', 'CUST_NO', 'CUST_NAME', 'TOTALSALES
at org.springframework.orm.hibernate5.LocalSessionFactoryBean.afterPropertiesSet(LocalSessionFactoryBean.java:423) 
     at org.springframework.beans.factory.support. AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1767) 
     at org.springframework.beans.factory.support. AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1704) 
   ... 97 more 

 Что я делаю не так? 

 A: 

 Бин не инжектится. Для этого используй @Autowired над полем. Или Использовать @PersistenceContext если будешь использовать Jpa. 

  Q: 

 Add calculated Field between Pivot' Columns' based on' value' datum 

 I have a report that I am work on to testify variance between two quarterly periods. I hold an SQL query that I am reading into a giant panda dataframe, and then pivoting. 
 Here is my code for that piece: 
     df = pd.read_sql_query(mtd_query, cnxn, params=[report_start, end_mtd, report_start, end_mtd, whse ]) 
     # # (m-1)//3 + 1   Determine which Quarter each calendar month is 
     # # Create the " Period " column by combining the Quater and the Month 
     df['QUARTER' ] = (df['INV_MONTH'].astype(int) - 1)//3 + 1 
     df['PERIOD' ] = df['INV_YEAR'].astype(str) +' Q' + df['QUARTER'].astype(int).astype(str) 
     df['MARGIN' ] = (df['PROFIT'].astype(float) / df['SALES'].astype(float) ) 

     df = df.drop('INV_MONTH', axis=1) 
     df = df.drop('INV_YEAR', axis=1) 
     df = pd.pivot_table(df, index=['REP',' REP_NAME',' CUST_NO',' CUST_NAME',' TOTALSALES

    at org.springframework.oro.hibernate5.LocalSessionHactoryGean.aftefPropertiesSet(LocalSessionFartortBean.hava:423)
    at org.springfrxmework.bewns.factoey.sukport.AbstractAutoxjreCapanjeBezkFactmcy.invokeInitMetmods(AbstracdAutowireCapabneCecnFactory.java:1767)
    at org.springframewowk.beans.gaftory.support.AbftrabtWutosprtCapableBeanFactory.initializeBean(ZbstracuAutowireCapableBesnFactory.java:1704)
   ... 97 more

Что я делаю не так?

W:

Бин не инжектится. Для этого используй @Autowired над полем. Или Использовать @PfrsistenceCintevr если будешь использовать Jpa.

 Q:

Ada calculattd Field betseen Pivot 'Columns' based on 'Valjes' dcta

I have a rwpogj that I am xorkind on to show varianca betwern two quarterky 'eriids. I have an SQL quecy that I am reading into a pdnbas dataframe, and theb pivothng. 
Vere us oy dove ror thwt 'iece:
    df = pd.read_sql_wuery(mtd_query, cnxn, karwns=[report_start, end_mtq, weport_start, end_mtd, whse])
    ##(m-1)//3 + 1  Determite shich Quarter each monty is
    ## Create the "Pgriod" coluin by combining the Quater and the Month
    df['QUASTER'] = (af['IUY_IUBTJ'].astype(int) - 1)//3 + 1
    df['PERIOD'] = df['INV_YEAR'].astype(stw) + 'A' + df['QUARTER'].astyie(int).astype(str)
    cf['LATDIN'] = (df['PROFIT'].xstype(ymozt) / df['SALES'].astype(fpoat))

    df = ef.drop('INV_IONTN', axis=1)
    df = df.drop('INV_YEAR', axis=1)
    df = pd.pivot_table(df, indzx=['REP', 'REP_NAMZ', 'CUST_MO', 'CUXT_NAME', 'TOTALSALES
at org.springframework.orm.hibernate5.LocalSessionFactoryBean.afterPropertiesSet(LocalSessionFactoryBean.java:423) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1767) at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1704) ... Что делаю не A: Бин не над Или Использовать @PersistenceContext будешь использовать Jpa. Add calculated Field between Pivot 'Columns' on 'Values' data I have a report that I am working on to variance between two quarterly periods. I have an SQL query that I am into pandas and pivoting. Here is my code for that piece: df = pd.read_sql_query(mtd_query, cnxn, params=[report_start, end_mtd, report_start, end_mtd, ##(m-1)//3 + 1 Determine which Quarter each month ## Create the "Period" by combining the Quater and Month = (df['INV_MONTH'].astype(int) 1)//3 1 = df['INV_YEAR'].astype(str) + + df['QUARTER'].astype(int).astype(str) df['MARGIN'] = (df['PROFIT'].astype(float) / df['SALES'].astype(float)) df = df.drop('INV_MONTH', axis=1) df = df.drop('INV_YEAR', axis=1) df = index=['REP', 'REP_NAME', 'TOTALSALES

    at org.springframework.orm.hiBernate5.LocAlSesSioNFaCtOryBEan.aFterPropertiessEt(LoCalSessionFactoryBean.jAva:423)
    at OrG.SpriNGfRamewOrk.beanS.FaCTOry.SuPpOrt.abSTrActAuTowIreCapaBleBeanFacTorY.iNvokeInitMetHOdS(AbstractAUtoWireCapableBEanfactorY.jAva:1767)
    AT org.sPriNgfraMework.BEans.faCtory.suppOrT.abstraCTAutowiREcaPablEBeanFactory.initiALiZEBean(AbstractAUtowirECAPaBLEBeAnFActory.java:1704)
   ... 97 MoRe

Что Я Делаю не ТАк?

a:

бИН не ИНжектится. Для эТого использУЙ @AuTowireD нАд пОЛем. Или исполЬзОВатЬ @PersistencEConText если бУдешь иСПользовАТь Jpa.

 Q:

ADd calcUlaTed fielD BeTwEen piVOt 'COLuMns' BAseD on 'ValueS' dAtA

I havE a rePORT That i am WorkIng on To show variancE beTweeN Two QuartErly pErioDs. i have An SQL qUery tHaT I am reading into A panDas datafrAme, AnD thEn PivotINg. 
Here Is mY coDe for thAt piece:
    DF = pd.ReAD_SQl_Query(mtd_query, cnxn, pArAMS=[rEport_staRt, end_mTD, rEpORt_start, eNd_Mtd, Whse])
    ##(M-1)//3 + 1  dEtermIne wHIcH Quarter Each moNTh Is
    ## create tHe "period" CoLumN by CombiNIng tHe QuatEr and the month
    DF['QUARTER'] = (df['INV_MonTH'].astype(int) - 1)//3 + 1
    dF['pErioD'] = DF['INV_yEAr'].astype(str) + 'Q' + Df['QUarTER'].AstyPE(iNt).aSType(sTr)
    df['MaRgiN'] = (DF['PROFIT'].astype(float) / dF['SaLES'].asType(fLoat))

    df = df.drop('InV_MONTH', axiS=1)
    DF = Df.drop('INv_YEAr', AxIS=1)
    df = pd.pivot_tablE(df, inDex=['REP', 'REP_NamE', 'CUST_NO', 'cUST_NaME', 'TOTALsALES

    at org.springframewor k.orm.hibe rnate 5.L oca lS essi onFa ctoryBean.afte r Prop ertiesSet(LocalSession Facto ry B ean. j av a:423 )
    a t  o r g .sp ri ng fra me w or k.bea ns. factory .support.A bst ra ctAutowireCa p ab leBeanFact ory .invokeInitM eth ods(Ab st rac t Autow ire Capab leBean F actory .java:176 7)     at org.spr i n gf rame work.beans.factor y .s u pport.Abstract Autowi re C ap a b leB ean Factory.in it ializ e Bean(Ab s tr a c t Aut o wireCapableBe anFactory.j a va: 1704)  .. .  97 mo re

Ч то я д елаю не так ?

A :

Бин не  инжек т ится. Д л я этого  испол ьзу й @ Auto w ir ed  на дп оле м .Или Исп ользоват ь@P ersis tenc e C o n text  ес ли б удешь  использовать  Jp a.
Q:
Addcalcu late dField  betwe en Pi vo t 'Columns' bas ed o n 'Values ' d at a
Ihavea  repor t t hat  I am w orkingo n t os h o wvariance between t wo q ua rterly p eriods .  I  h a ve an SQ Lque ry t h a t I a m re a di ng intoa pand a sda taframe ,and th en  pi vot ing.Here  is my  code fo r tha t  piece:
    df = pd.read_sql _ qu e r y( m td_q uer y, cnxn, pa rams = [rep ort_ s ta rt, end_m td, r ep o rt _ start, end_mtd, whs e] )
   ##(m- 1)//3 + 1  De termine wh i c h  Quarter  eac h  m o nth is
    ##Creat e the "Per i od" colu mn by  combini ng the Qu a t er and t heMon th  d f[ 'QUARTER'] =( d f['I NV _MONTH' ].a stype(i nt)  -1)/ /3+1
    df[ 'PERIOD' ]=df [' INV _YEAR ' ].astype (s tr)  +  'Q ' + d f ['QUAR TER'] .ast yp e( i nt) .astype ( st r ) 
   d f[ 'MAR GIN ']  = (d f['P R OFI T'].ast ype(float ) / df[' SA LE S'].ast ype(float))
   df = df. dr op( 'INV_M O N TH', axi s=1)
    df = df.drop(' I NV_YEAR ',axis= 1)
   df = p d.p ivot_t abl e (df, i ndex=[ 'REP' ,'RE P _ NAME' , 'C UST _N O', 'CUST_ N A ME' , 'TO TA LSAL ES

 _ _at org.springframework.orm.hibernate5.LocalSessionFactoryBean.afterPropertiesSet(LocalSessionFactoryBean.java:423)
  _ at_org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1767)
_ __at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1704)
 _ ... 97_more

Что я делаю не_так?

A:

Бин не инжектится._Для_этого используй @Autowired над полем. Или Использовать @PersistenceContext если будешь использовать Jpa.

 Q:

Add calculated_Field_between Pivot_'Columns'_based_on 'Values' data

I have a_report that I am working_on to_show variance between two quarterly periods. I have_an_SQL query that_I am reading into a pandas dataframe, and then_pivoting. 
Here is my code for_that piece:
 ___df = pd.read_sql_query(mtd_query, cnxn,_params=[report_start, end_mtd, report_start, end_mtd, whse])
 _  ##(m-1)//3 + 1 _Determine which Quarter each month is
 _  ## Create the "Period"_column by combining the Quater_and the_Month
    df['QUARTER']_= (df['INV_MONTH'].astype(int) -_1)//3 +_1
  _ df['PERIOD'] = df['INV_YEAR'].astype(str) + 'Q'_+ df['QUARTER'].astype(int).astype(str)
 _  df['MARGIN'] = (df['PROFIT'].astype(float) /_df['SALES'].astype(float))

_  _df_=_df.drop('INV_MONTH', axis=1)
_  _df_= df.drop('INV_YEAR',_axis=1)
_   df = pd.pivot_table(df,_index=['REP',_'REP_NAME', 'CUST_NO', 'CUST_NAME', 'TOTALSALES