(error => {});
    }
render(){
    console.log("your data", this.state.data);
    return <div>test</div>;
}

And work with this data with this.state.data.
I advise you to change getData() function to componentDidMount mehtod.

 Q:

Plot graph for every dataset entry

So this is my dataset:
raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
            'last_name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze'], 
            'female': [0, 1, 1, 0, 1],
            'age': [42, 52, 36, 24, 73], 
            'preTestScore': [4, 24, 31, 2, 3],
            'postTestScore': [25, 94, 57, 62, 70]}

df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'female', 'preTestScore', 'postTestScore'])

I'm new to plotting data and a bit lost here. I want to plot a line for each person, where the x-ticks are preTestScore and postTestScore and the y-ticks go from 0 to 100 (the possible range of test scores).
I was thinking that I could just make a scatter plot but then I wouldn't know how to connect the dots.

A:

Graph
A slopegrahp was what I was looking for. Thanks @mostlyoxygen
x = df.loc[:, "preTestScore":"postTestScore"]
x["full_name"] = df["first_name"] + " " + df["last_name"]

num_students = x.shape[0]
num_times = x.shape[1] - 1

plt.xlim(0, 1)
plt.ylim(0, 100)
plt.xticks(np.arange(2), ["perTestScore", "postTestScore"])

plt.title("Score changes after Test taking")
plt.ylabel("Testscore")

for row in x.values:
    plt.plot([0, 1], [row[
( error = > { }); 
     } 
 render () { 
     console.log("your data ", this.state.data); 
     return < div > test</div >; 
 } 

 And make with this datum with this.state.data. 
 I advise you to change getData () affair to componentDidMount mehtod. 

  Q: 

 Plot graph for every dataset submission 

 So this is my dataset: 
 raw_data = {' first_name': [' Jason',' Molly',' Tina',' Jake',' Amy' ], 
            ' last_name': [' Miller',' Jacobson',' Ali',' Milner',' Cooze' ], 
            ' female': [ 0, 1, 1, 0, 1 ], 
            ' age': [ 42, 52, 36, 24, 73 ], 
            ' preTestScore': [ 4, 24, 31, 2, 3 ], 
            ' postTestScore': [ 25, 94, 57, 62, 70 ] } 

 df = pd. DataFrame(raw_data, column = [' first_name',' last_name',' age',' female',' preTestScore',' postTestScore' ]) 

 I'm new to plot data and a bit lose here. I want to plot a line for each person, where the x - ticks are preTestScore and postTestScore and the y - ticks move from 0 to 100 (the possible range of examination scores). 
 I was thinking that I could just make a scatter plot but then I wouldn't acknowledge how to connect the dots. 

 A: 

 Graph 
 A slopegrahp was what I was looking for. Thanks @mostlyoxygen 
 x = df.loc [:, " preTestScore":"postTestScore " ] 
 x["full_name " ] = df["first_name " ] + " " + df["last_name " ] 

 num_students = x.shape[0 ] 
 num_times = x.shape[1 ] - 1 

 plt.xlim(0, 1) 
 plt.ylim(0, 100) 
 plt.xticks(np.arange(2), [ " perTestScore ", " postTestScore " ]) 

 plt.title("Score changes after Test consume ") 
 plt.ylabel("Testscore ") 

 for row in x.values: 
     plt.plot([0, 1 ], [ row [
(errlr => {});
    }
render(){
    consolt.log("your data", this.state.deta);
    deturn <dkv>test</div>;
}

And work with this vata with this.state.data.
I advise you to cjange gerDate() function to componentDlbMounf mehcov.

 Q:

Plot graph fpr every ddtaset entry

So tfid is my dataset:
raw_data = {'first_name': ['Jwson', 'Moklj', 'Tina', 'Jake', 'Ami'], 
            'last_name': ['Miller', 'Jacobson', 'Ali', 'Mjlner', 'Cmoze'], 
            'female': [0, 1, 1, 0, 1],
            'age': [42, 52, 36, 24, 73], 
            'oreTestScorg': [4, 24, 31, 2, 3],
            'postTestSbmre': [25, 94, 57, 62, 70]}

df = pd.DataFrame(raw_data, columns = ['fkrst_ncme', 'last_namg', 'zgf', 'female', 'preVestScjre', 'postTestScore'])

I'm tew to llotting data snd a vit lost here. I want vo plot a line for ewch persot, chere the x-ticks are prwTestVcora ana portTtstXckre anf tie y-ticks gk from 0 to 100 (the possible range os test scores).
I was trigking that I could just make a scatter klot gut then I wouldn't know how to connect the dlts.

A:

Graph
W slopegrahp was what I was looking for. Thanks @movtlyoeyeen
r = df.lux[:, "oreTestScore":"postTestScore"]
x["full_name"] = df["first_nais"] + " " + df["last_name"]

nui_students = c.sjalg[0]
num_times = x.shxpe[1] - 1

plt.xmim(0, 1)
plt.ylim(0, 100)
plt.xtifks(np.arwnge(2), ["perTestScjre", "lostTestScore"])

plt.title("Score xhanges afteg Tewt taking")
plt.ylabel("Cestscore")

for row in x.falues:
    plt.plot([0, 1], [row[
(error => {}); } render(){ console.log("your data", <div>test</div>; And work this data with change function to componentDidMount Q: Plot graph every dataset entry So this is dataset: raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 'last_name': ['Miller', 'Jacobson', 'Ali', 'Cooze'], 'female': [0, 1, 1, 0, 1], 'age': [42, 52, 36, 24, 73], [4, 31, 3], [25, 94, 57, 62, 70]} df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'female', 'preTestScore', 'postTestScore']) new to plotting data and a bit lost I want to plot line for each person, where x-ticks preTestScore and and y-ticks from 0 to (the possible range of test scores). I was thinking that I could just make a scatter plot then I how to the A: A slopegrahp was was looking for. Thanks @mostlyoxygen x x["full_name"] = df["first_name"] + " " + df["last_name"] = x.shape[0] = x.shape[1] - 1 plt.xlim(0, 1) 100) plt.xticks(np.arange(2), ["perTestScore", "postTestScore"]) plt.title("Score changes after Test plt.ylabel("Testscore") for row in x.values: plt.plot([0, 1], [row[
(error => {});
    }
render(){
    console.log("your Data", this.stAte.daTa);
    rEtuRn <Div>tEst</dIv>;
}

And work with tHIs daTa with this.state.data.
I adVise yOu TO chaNGe GetDaTa() functIOn TO ComPoNeNtDIdmOuNt mehTod.

 q:

Plot grAph for everY daTaSet entry

So thIS iS my dataset:
Raw_Data = {'first_namE': ['JaSon', 'MolLy', 'tinA', 'jake', 'AMy'], 
            'lAst_naMe': ['MillER', 'JacobSon', 'Ali', 'MilNeR', 'cooze'], 
            'fEMale': [0, 1, 1, 0, 1],
            'age': [42, 52, 36, 24, 73], 
            'PRETEstSCore': [4, 24, 31, 2, 3],
            'postTestScore': [25, 94, 57, 62, 70]}

DF = pD.dataFrame(raw_daTa, coluMnS = ['FiRST_naMe', 'lAst_name', 'age', 'FeMale', 'pRETestScORe', 'POSTTeSTScore'])

I'm new to Plotting datA And A bit loSt HerE. i want tO plot A lINe fOr each persoN, wheRe the x-ticKs are pRETestScORe and poStTestscoRe aNd thE Y-tIcKs gO fROm 0 tO 100 (ThE poSSibLe range oF tEsT scorEs).
I wAS THInkiNg tHat I Could Just make a scatTer Plot BUt tHen I wOuldn'T knoW hOw to cOnnect The doTs.

a:

Graph
A slopegraHp waS what I was LooKiNg fOr. thankS @MostlyOxyGen
X = df.loc[:, "pReTestSCOre":"PoSTtEsTScore"]
x["full_name"] = df["fIrST_NaMe"] + " " + df["last_Name"]

nuM_StUdENts = x.shapE[0]
nUm_tImes = X.SHape[1] - 1

pLt.xlIM(0, 1)
pLt.ylim(0, 100)
plT.xtickS(Np.ArAnge(2), ["perteStScorE", "pOsttesTScorE"])

Plt.tItle("ScOre changEs aftER Test taking")
plt.YLabel("TestscorE")

FoR ROw IN x.vaLueS:
    plt.plot([0, 1], [row[
(error => {});
    }
rende r(){
    c onsol e.l og( "y ourdata ", this.state. d ata) ;
    return <div>test </div >; }

A n dworkwith th i sd a tawi th  th is . st ate.d ata .
I adv ise you to  ch an ge getData() fu nction tocom ponentDidMou ntmehtod .
 Q : 

Plo t g raphfor ev e ry dat aset entr ySo thi s  is myd a ta set: 
raw_data = {'fir s t_ n ame': ['Jason' , 'Mol ly ' ,' T ina ','Jake', 'A my '],        ' l ast _ name': ['Mill er', 'Jacob s on' , 'Ali ',  'M i lner',  'Coo ze ' ],
           'f emale': [ 0, 1,1 , 0, 1] , 
          'ag e':  [42 ,  5 2,  36 ,2 4,7 3] ,          'p re TestS core ' : [ 4, 2 4,31,2, 3] ,
           'p ostT e stS core' : [25 , 94 ,57, 6 2, 70] }

df  =  pd.DataFrame(r aw_d ata, colu mns  =  [' fi rst_n a me', ' las t_n ame', ' age', ' f ema le ' , 'p reTestScore', 'pos tT e s tS core'])
I'm n e wto plotting  d ata  and a  bitlost he re. I wa nt top lo ta linefo r each  p ers on,  wher e  the  x-tic ks are p reTes t Score and post T estScore andt he y -t i cksgofrom 0 to 1 00 ( t he p ossi b le  ra n ge of  test  s c or e s).
I was thinkingth at I c ouldjust make a s catter plo t b ut thenI wo u ld n 't know how to  conn ect the do t s.

A:
Graph 
A slope grahp was w hat I wa s l ook ing  fo r .  T hanks @mostly o x ygen 
x  = df.l oc[ :, "pre Tes tSc ore ":" po stTestSco re"]
x[" fu ll _n am e"]  = df [ "first_n am e"]  +  "" + d f ["last _name "]
nu m_ s tud ents =x .s h a pe[0 ]nu m_ti mes  =  x.sh ape[ 1 ] -  1

plt .xlim(0,1)p lt.y li m( 0, 100) 
plt.xticks(n p. arange(2),  [ "pe rTestS c o re", "po stTestScore"])

plt.tit l e("Scor e c hange s af ter Testtak ing")plt . ylabel ("Test score ") 

f o r  rowi n  x .va lu es:
    pl t . plo t([0,  1 ], [ row[
(error =>_{});
 _  }
render(){
 _ _console.log("your_data", this.state.data);
__  return_<div>test</div>;
}

And work with_this data with this.state.data.
I_advise you to_change_getData() function to componentDidMount mehtod.

 Q:

Plot graph for every dataset entry

So this is my_dataset:
raw_data_= {'first_name':_['Jason',_'Molly',_'Tina', 'Jake', 'Amy'], 
 _    _ _   'last_name': ['Miller', 'Jacobson', 'Ali', 'Milner',_'Cooze'],_
  _        _'female': [0, 1, 1, 0, 1],
_  ___   _  'age': [42, 52, 36,_24, 73], 
   _      _ 'preTestScore': [4, 24, 31, 2,_3],
    _ _    _'postTestScore': [25, 94,_57, 62,_70]}

df = pd.DataFrame(raw_data,_columns = ['first_name', 'last_name', 'age', 'female',_'preTestScore', 'postTestScore'])

I'm new_to plotting data and a bit_lost_here. I want_to_plot_a line_for each person,_where_the x-ticks_are_preTestScore and postTestScore and the y-ticks_go_from 0 to 100 (the possible range_of test scores).
I was_thinking_that I could just_make a scatter plot but_then I wouldn't know how to_connect the_dots.

A:

Graph
A slopegrahp_was what I was looking for. Thanks @mostlyoxygen
x = df.loc[:, "preTestScore":"postTestScore"]
x["full_name"]_= df["first_name"] + " " +_df["last_name"]

num_students = x.shape[0]
num_times =_x.shape[1] -_1

plt.xlim(0,_1)
plt.ylim(0, 100)
plt.xticks(np.arange(2), ["perTestScore",_"postTestScore"])

plt.title("Score_changes after_Test taking")
plt.ylabel("Testscore")

for row in x.values:
  _ plt.plot([0,_1], [row[