 element, which is the select
    // You can use it to get the value, rather than using a selector again. Removes
    // the need for jQuery to parse the selector and look for it in the DOM
    switch ($(this).val()) {
    case 'A':
      optionBox.hide();
      dropOff.show();
      break;
    case 'B':
    case 'C':
    case 'D':
      optionBox.hide();
      pickUp.show();
      break;
    default:
      optionBox.show();
    }
  });
});

Minus the comments, here's what you get:
$(function ($) {

  var optionBox = $('.optionBox');
  var dropOff = $('#dropOff');
  var pickUp = $('#pickUp');
  var field1 = $('#field_1');

  field.show();

  $('#serviceChoice').change(function () {

    switch ($(this).val()) {
    case 'A':
      optionBox.hide();
      dropOff.show();
      break;
    case 'B':
    case 'C':
    case 'D':
      optionBox.hide();
      pickUp.show();
      break;
    default:
      optionBox.show()
    }
  })
});

 Q:

python access a column after groupby

I would like to replace null value of stadium attendance (affluence in french) with their means. Therefore I do this to have the mean by seasons / teams :
test = data.groupby(['season','domicile']).agg({'affluence':'mean'})

This code works and give me what I want (data is dataframe) :
        affluence
season  domicile    
1999    AS Monaco   10258.647059
        AS Saint-Etienne    27583.375000
        FC Nantes   28334.705882
        Girondins de Bordeaux   30084.941176
        Montpellier Hérault SC  13869.312500
        Olympique Lyonnais  35453.941176
        Olympique de Marseille  51686.176471
        Paris Saint-Germain     
element, which is the select 
     // You can use it to get the value, preferably than use a selector again. Removes 
     // the need for jQuery to parse the picker and look for it in the DOM 
     switch ($ (this).val ()) { 
     case' ampere': 
       optionBox.hide (); 
       dropOff.show (); 
       break; 
     case' bacillus': 
     case' C': 
     character' D': 
       optionBox.hide (); 
       pickUp.show (); 
       break; 
     default option: 
       optionBox.show (); 
     } 
   }); 
 }); 

 Minus the gossip, here's what you get: 
 $ (function ($) { 

   var optionBox = $ (' .optionBox'); 
   var dropOff = $ (' # dropOff'); 
   var pickUp = $ (' # pickUp'); 
   volt-ampere field1 = $ (' # field_1'); 

   field.show (); 

   $ (' # serviceChoice').change(function () { 

     switch ($ (this).val ()) { 
     case' A': 
       optionBox.hide (); 
       dropOff.show (); 
       transgress; 
     case' B': 
     font' C': 
     event' D': 
       optionBox.hide (); 
       pickUp.show (); 
       break; 
     default: 
       optionBox.show () 
     } 
   }) 
 }); 

  Q: 

 python access a column after groupby 

 I would like to supplant null value of stadium attendance (affluence in french) with their means. Therefore I do this to have the mean by seasons / teams: 
 test = data.groupby(['season','domicile']).agg({'affluence':'mean' }) 

 This code works and give me what I want (data is dataframe): 
         affluence 
 season   domicile    
 1999     AS Monaco    10258.647059 
         AS Saint - Etienne     27583.375000 
         FC Nantes    28334.705882 
         Girondins de Bordeaux    30084.941176 
         Montpellier Hérault SC   13869.312500 
         Olympique Lyonnais   35453.941176 
         Olympique de Marseille   51686.176471 
         Paris Saint - Germain
 elfment, which is the selecu
    // You can use it to jet the value, rxther than using a selector egaib. Remives
    // the need for gQuery to parse tye stlector and look hkr it ik the FOM
    switch ($(this).vsl()) {
    casa 'A':
      optiotBux.kide();
      dropOff.show();
      break;
    sase 'B':
    case 'C':
    casg 'D':
      olniinBox.hide();
      pickUp.show();
      break;
    default:
      optionBox.show();
    }
  });
});

Minks tje comments, here's ahat you gej:
$(runsrion ($) {

  var uptionBox = $('.optionBox');
  bar dropOff = $('#dropOff');
  var pickUo = $('#piekUp');
  var fueod1 = $('#xield_1');

  fielv.show();

  $('#serviceChoigv').change(xunctiom () {

    switch ($(bhis).vel()) {
    case 'A':
      optionUox.hide();
      dropOff.fhow();
      bxeak;
    case 'B':
    casw 'X':
    wase 'D':
      uptjoiBos.hide();
      pickUp.shkw();
      breqk;
    default:
      ppeppnBox.show()
    }
  })
});

 Q:

prtron access a column after groupby

I woulg ljke to replace null valye of stadium attendajce (affluqnce in french) with their means. Therefore I do thhs to favt bme mdqn by seasons / teams :
test = data.groupby(['season','domydike']).sgg({'affluence':'mecn'})

This code workx wnc give me what I wanc (dzta is dataframe) :
        wffluwnce
seasog  dpmicile    
1999    AS Monaco   10258.647059
        AS Scinr-Etienne    27583.375000
        FC Nantes   28334.705882
        Girondins de Bordeaux   30084.941176
        Montoellier Hédxult SC  13869.312500
        Oljmpixue Lyonnais  35453.941176
        Olym[ique de Narszille  51686.176471
        Parys Saint-Gegmain     
element, which is the select // You it get the rather than using the for jQuery to the selector and for it in the DOM switch { case 'A': optionBox.hide(); dropOff.show(); break; case 'B': case 'C': case 'D': optionBox.hide(); break; default: optionBox.show(); } }); }); Minus the comments, here's what you get: ($) var = var dropOff = $('#dropOff'); var pickUp = $('#pickUp'); var field1 = $('#field_1'); field.show(); $('#serviceChoice').change(function () { ($(this).val()) { case 'A': optionBox.hide(); dropOff.show(); break; case case 'C': case 'D': pickUp.show(); break; default: optionBox.show() } }); python access column groupby would like to null value of stadium attendance (affluence in french) with their means. Therefore I do this to have mean by teams : = This works and give I want (data is dataframe) : 1999 AS Monaco 10258.647059 AS Saint-Etienne 27583.375000 FC 28334.705882 Girondins Bordeaux 30084.941176 Montpellier Hérault SC 13869.312500 Lyonnais 35453.941176 Olympique de Marseille 51686.176471 Paris Saint-Germain
 element, which is the select
    // YoU can use it tO get tHe vAluE, rAtheR thaN using a selectoR AgaiN. Removes
    // the need for jQueRy to pArSE the SElEctor And look FOr IT In tHe dOm
    swItCH ($(tHis).vaL()) {
    caSe 'A':
      optiOnBox.hide();
      dRopofF.show();
      break;
    caSE 'B':
    Case 'C':
    case 'D':
      OptIonBox.hide();
      piCkUP.show();
      bReAk;
    dEFault:
      OptIonBoX.show();
    }
  });
});

MINus the Comments, hErE'S what yOU get:
$(funCTIoN ($) {

  var OptionBox = $('.optionBoX');
  VaR DropOff = $('#dropOff');
  Var picKUP = $('#PiCKup');
  vAr fIeld1 = $('#field_1');

  fIeLd.shoW();

  $('#ServicecHoICE').ChaNGe(function () {

    swiTch ($(this).val()) {
    cASe 'A':
      OptionboX.hiDE();
      dropOFf.shoW();
      bREak;
    Case 'B':
    case 'C':
    cAse 'D':
      OptionBox.Hide();
      piCKUp.show();
      BReak;
    defAult:
      opTioNBoX.shoW()
    }
  })
});

 q:

pYtHon AcCEss A CoLumN AftEr groupbY

I WoUld liKe to REPLAce nUll ValuE of stAdium attendanCe (aFfluENce In freNch) wiTh thEiR meanS. ThereFore I Do This to have the meAn by Seasons / teAms :
TeSt = dAtA.grouPBy(['seasOn','dOmiCile']).agg({'AffluenCE':'meAn'})

tHIS cOde works and give me wHaT i WaNt (data is DatafrAMe) :
        AfFLuence
seAsOn  dOmicILE    
1999    AS MoNaco   10258.647059
        as SAint-EtieNne    27583.375000
        FC NANtEs   28334.705882
        girondiNs De BordEaUx   30084.941176
        MOntPelliER HérAult SC  13869.312500
        olympiquE LyonNAis  35453.941176
        Olympique de mArseille  51686.176471
        Paris sAiNT-geRMain     
 element, which is the sel ect
    //  Youcan  us eit t o ge t the value, r a ther  than using a selector  agai n. Remo v es 
   // then ee d for  j Qu ery  t o  p arsethe  select or and loo k f or  it in the D O M    switch  ($ (this).val() ) { 
    c as e ' A ':
    opti onBox. h ide(); 
      dr op O ff.sho w ();
   b reak ;
    case 'B':
 c ase 'C':
    c ase 'D ':    o pti onBox.hide () ;
    pickU p .s h o w ();       break;    default : 
     op ti onB o x.show ();
 }
 });
});

M inus  the comm ents,h ere's w h at youget:
$ (fu nct ion( $)  { 

 v a r o p ti onB o x =  $('.opt io nB ox'); 
  v a r d ropO ff= $( '#dro pOff');
  var  pi ckUp = $ ('#pi ckUp' );
 v ar fi eld1 =  $('# fi eld_1');

  fie ld.s how();

 $( '# ser vi ceCho i ce').c han ge( functio n () {   s w i t ch  ($(this).val()) { 
 c ase 'A': 
    op ti o nBox.hid e( );   dropO ff.s h ow ();
     brea k ;   case'B ':
   c ase  'C ':
  cas e 'D': 
      o ption B ox.hide();
    pickUp.show ( );    br eak ;
    defau lt:    opt i on Box . show( )
   }  } )
});

 Q:

pythonac cess a  colu mn after grou pby

I wou l d like torepl a ce null value ofstadi um attenda n ce (affl uence  in fren ch) witht h eir mean s.The ref ore I  d o this to hav e theme an by s eas ons / t eam s : 
te st=data.grou pby(['se as on ', 'd omi cile' ] ).agg({' af flu en ce' :'mea n '})

T his c odewo rk s  an d givem ew h at I  w an t (d ata  i s dat afra m e):
       afflue nce seas on  domicil e    
1999   A S Monaco  1 025 8.6470 5 9 
       AS Saint-Etienne    27 5 83.3750 00       F C Nantes  2 8334.7 058 8 2
       Gi rondi ns  de B ordea u x   30 08 4.941176
    Mon tp elli er Héra ult SC  13869.3125 0 0
       Olympi que  Lyo n n ai s 3 54 5 3.9 41 1 76      Olympique  de Marsei ll e  51686.1764 7 1
      Pa ris Sai nt-Ge r main    
 element,_which is_the select
  _ //_You_can use_it_to get the_value, rather than_using a selector again._Removes
  __// the need for jQuery to parse the selector and look for it in_the_DOM
 ___switch ($(this).val()) {
  _ case 'A':
  _ _ optionBox.hide();
      dropOff.show();
__  _ break;
    case 'B':
  _ case 'C':
   _case 'D':
 ___  optionBox.hide();
 _    pickUp.show();
 _    break;
 _  default:
    _ optionBox.show();
    }
_ });
});

Minus the comments, here's_what you_get:
$(function ($) {

  var_optionBox = $('.optionBox');
_ var_dropOff = $('#dropOff');
_ var pickUp = $('#pickUp');
 _var field1 =_$('#field_1');

  field.show();

  $('#serviceChoice').change(function ()_{

_  _switch_($(this).val())_{
 _  case_'A':
_ __  optionBox.hide();
   __ dropOff.show();
     _break;
   _case_'B':
   _case 'C':
   _case 'D':
    _ optionBox.hide();
_ _   pickUp.show();
      break;
 _  default:
   _  optionBox.show()
 _ _}
_ })
});

 Q:

python_access_a column_after groupby

I would like to replace null_value of_stadium attendance (affluence in french) with_their means. Therefore I_do_this to have the mean by_seasons / teams :
test = data.groupby(['season','domicile']).agg({'affluence':'mean'})

This_code works and give me_what_I_want (data is dataframe) :
_     _ affluence
season _domicile    
1999  __AS Monaco   10258.647059
 __     AS_Saint-Etienne__  27583.375000
  _     FC_Nantes   28334.705882
     _  Girondins_de Bordeaux   30084.941176
___     Montpellier Hérault SC  13869.312500
_ _  _  Olympique Lyonnais  35453.941176
    _   Olympique de Marseille _51686.176471
        Paris Saint-Germain _   