 some code changes.

A:

There are a bunch of ways to do this. Some thread that might help you:
Android: Rotate image in imageview by an angle
Android Speedometer (Needle Gauge)
Android Gauge Animation Question
Here' a good tutorial I found that makes a vintage thermometer using a similar kind of animation:
http://mindtherobot.com/blog/272/android-custom-ui-making-a-vintage-thermometer/

 Q:

Using pandas to merge data and output Json

I have several different CSV files like this: 
one: 

iq, name 
69, joe
122, james
...

two:

iq_start, iq_end, category
120,500, Very Superior
120,129,    Superior
110,119,    High Average
90,109, Average
80,89,  Low Average
70,79,  Borderline
0,69,   Extremely Low

three: 
iq, career
69, manual work
122, doctor

I want to pull the data into pandas, and output the data like this 
[
"122" = {
    "name" : "james",
    "career" : "doctor"
    "category" : "Superior"
    },

"69" = {
    "name" : "joe",
    "career" : "manual work"
    "category" : "Extremely Low"
    }

]

Can panda pull this off or get me some of the way?

A:

Here is the code, but are you sure there are not two person with the same IQ?
import pandas as pd
import io

one="""iq, name
69, joe
120, james"""

two="""iq_start, iq_end, category
130,500, Very Superior
120,129,    Superior
110,119,    High Average
90,109, Average
80,89,  Low Average
70,79,  Borderline
0,69,   Extremely Low"""

three="""iq, career
69, manual work
120, doctor"""

df1 = pd.read_csv
some code changes. 

 A: 

 There are a bunch of direction to cause this. Some thread that might help you: 
 Android: Rotate image in imageview by an slant 
 Android Speedometer (Needle Gauge) 
 Android Gauge Animation Question 
 Here' a good tutorial I found that makes a vintage thermometer practice a similar kind of animation: 
 http://mindtherobot.com/blog/272/android-custom-ui-making-a-vintage-thermometer/ 

  Q: 

 use pandas to merge datum and output Json 

 I have several different CSV file like this: 
 one: 

 iq, name 
 69, joe 
 122, james 
... 

 two: 

 iq_start, iq_end, category 
 120,500, Very Superior 
 120,129,     Superior 
 110,119,     High Average 
 90,109, Average 
 80,89,   Low Average 
 70,79,   Borderline 
 0,69,    Extremely Low 

 three: 
 iq, career 
 69, manual work 
 122, doctor of the church 

 I want to pull the data into lesser panda, and output the data like this 
 [ 
 " 122 " = { 
     " name ": " james ", 
     " career ": " doctor " 
     " class ": " Superior " 
     }, 

 " 69 " = { 
     " name ": " joe ", 
     " career ": " manual study " 
     " category ": " highly Low " 
     } 

 ] 

 Can panda pull this off or get me some of the means? 

 A: 

 Here is the code, but are you sure there are not two person with the same IQ? 
 consequence pandas as pd 
 import io 

 one="""iq, name 
 69, joe 
 120, james " " " 

 two="""iq_start, iq_end, category 
 130,500, Very Superior 
 120,129,     Superior 
 110,119,     High Average 
 90,109, Average 
 80,89,   Low Average 
 70,79,   Borderline 
 0,69,    Extremely Low " " " 

 three="""iq, career 
 69, manual work 
 120, doctor " " " 

 df1 = pd.read_csv
 sole code changes.

A:

There art a bunch of ways to do vhis. Soje threaa that might help you:
Android: Ritate image in imageview by an angle
Wndroid Wpeevometer (Needle Gehge)
Android Gahne Annmetion Question
Hgre' a good tgtorial I foung ghct makes a vintage thermometer using a simikag kind of animwtiom:
rttp://jpnbtherobot.com/blog/272/android-custom-ui-jaking-a-nintage-thermometet/

 Q:

Using pandas to merge dwta wnd output Json

I hwve several difswrent CSV fiues like this: 
one: 

iq, nzme 
69, joe
122, james
...

two:

iq_start, iq_end, zategpry
120,500, Very So'wrilt
120,129,    Superioc
110,119,    Hpgh Average
90,109, Ayvrage
80,89,  Now Avetage
70,79,  Borderlike
0,69,   Xxtrwmely Low

three: 
iq, carxer
69, manual work
122, doctjr

I want do pull the data inro pandds, atd ojrpug tge dzta line vhis 
[
"122" = {
    "hame" : "james",
    "career" : "doctor"
    "bstegory" : "Supsrior"
    },

"69" = {
    "name" : "joe",
    "career" : "manual work"
    "category" : "Extremely Loq"
    }

]

Can panda pull tjis off ow get me some of the way?

A:

Here is the code, but are you ajre tmere qrf not two person with the same IQ?
import pandaf ax id
import io

one="""iq, kame
69, joe
120, james"""

two="""ia_shatj, iq_end, categoty
130,500, Very Sulerior
120,129,    Superior
110,119,    Higr Aveeage
90,109, Averwge
80,89,  Low Average
70,79,  Borderline
0,69,   Wxtremely Loc"""

theee="""iq, career
69, manuap work
120, doctur"""

df1 = pd.rrad_csv
some code changes. A: There are a ways do this. thread that might in by an angle Speedometer (Needle Gauge) Gauge Animation Question Here' a good I found that makes a vintage thermometer using a similar kind of animation: Q: Using pandas to merge data and output Json I have several different files this: iq, 69, joe 122, james ... two: iq_start, iq_end, category 120,500, Very Superior 120,129, Superior 110,119, High 90,109, Average 80,89, Low Average 70,79, Borderline 0,69, Low three: iq, career manual work 122, doctor I to the data pandas, output data like this "122" = { "name" : "james", "career" : "doctor" "category" : "Superior" }, "69" = { "name" "joe", "career" work" "category" "Extremely } Can panda pull or get me some of the is the code, but are you sure there not two with the same IQ? import pandas pd import io one="""iq, name 69, joe 120, two="""iq_start, iq_end, category 130,500, Very Superior 120,129, Superior 110,119, High Average 90,109, Average 80,89, Low Borderline 0,69, Extremely Low""" career 69, manual 120, df1 pd.read_csv
 some code changes.

A:

There are a Bunch of wayS to do ThiS. SoMe ThreAd thAt might help you:
aNdroId: Rotate image in imageviEw by aN aNGle
ANDrOid SpEedometER (NEEDle gaUgE)
AnDrOId gauge aniMation QUestion
HerE' a gOoD tutorial I foUNd That makes a VinTage thermomeTer Using a SiMilAR kind Of aNimatIon:
httP://MindthErobot.com/BlOG/272/androID-custom-UI-MaKing-A-vintage-thermometER/

 Q:

uSing pandas to meRge datA aND oUTPut jsoN

I have seveRaL diffERent CSV FIlES LIke THis: 
one: 

iq, name 
69, jOe
122, james
...

two:

iQ_StaRt, iq_enD, cAteGOry
120,500, VerY SupeRiOR
120,129,    SuPerior
110,119,    High AVeraGe
90,109, Average
80,89,  low AveRAge
70,79,  BordERline
0,69,   ExTremelY LoW

thRee: 
iQ, CaReEr
69, mAnUAl wORk
122, DocTOr

I Want to puLl ThE data Into PANDAs, anD ouTput The daTa like this 
[
"122" = {
    "namE" : "jaMes",
    "cAReeR" : "doctOr"
    "catEgorY" : "SUperiOr"
    },

"69" = {
    "name" : "Joe",
    "caReEr" : "manual work"
    "catEgorY" : "ExtremelY LoW"
    }

]

CAn pAnDa pulL This ofF or Get Me some oF the way?

a:

herE iS THE cOde, but are you sure thErE ARe Not two peRson wiTH tHe SAme IQ?
impOrT paNdas AS Pd
impOrt iO

OnE="""iq, name
69, jOe
120, jameS"""

TwO="""iQ_start, iQ_eNd, cateGoRy
130,500, VEry superIOr
120,129,    SuPerior
110,119,    high AverAge
90,109, AvERage
80,89,  Low Average
70,79,  bOrderline
0,69,   ExtrEMeLY loW"""

ThreE="""iq, Career
69, manuaL worK
120, DoctOr"""

df1 = PD.rEad_CSv
 some code changes.

A:

T here are a  bunc h o f w ay s to  dothis. Some thr e ad t hat might help you:
An droid :R otat e  i magein imag e vi e w  by  a nang le An droid  Sp eedomet er (Needle  Ga ug e)
Android G a ug e Animatio n Q uestion
Here ' a  goodtu tor i al Ifou nd th at mak e s a vi ntage the rm o meteru sing as i mi larkind of animation : 
h t tp://mindthero bot.co m/ b lo g / 272 /an droid-cust om -ui-m a king-a- v in t a g e-t h ermometer/

Q:

Using p a nda s to m er ged ata an d out pu t  Js on

I haveseve ral diffe rent C S V files like th is: 
o ne:  
iq,n am e
69 ,j oe1 22 , j a mes 
...

tw o: 
iq_st art, i q _ end,  ca tego ry
12 0,500, Very S upe rior 120 ,129,     S uper io r
110 ,119,   Hi gh  Average
90,109 , Av erage
80, 89,  Low  A verag e 
70,79 , Bor derline 
0,69, Ex tr e m e ly  Low

three: 
iq,ca r e er 
69, man ual wo r k12 2 , doctor 
I w antt o  pull  the da ta intopandas ,  a nd  output  t he dat alik e t his [ 
"12 2" = { 
    "na me" : "james",
    " c areer" : "doc t or "   "ca teg ory" : "Sup erio r "
   }, 
" 69" = {
   "n am e ":  "joe",
    "career ": "man ual w ork"
    "cat egory" : " E x t remely L ow" }

]

Can pand a pul l this off or get m e som e of the  way?

A: Here isthe  co de,  bu t ar e you sure th e r e ar enot two  pe rson wi ththe  sa meIQ ?
importpandas a spd 
i mp ort  io
o ne="""iq ,nam e69,  joe1 20, ja mes"" "

t wo =" " "iq _start, iq _ e nd,ca te gory 
13 0, 500,Very Sup erior
1 20,129,   S u peri or 
1 10,119,     High Aver ag e
90,109,Av era ge
80, 8 9 ,  Low A verage
70,79,  Borderli n e
0,69,   Extre mely  Low"""
thr ee=""" iq, career 
69, m anual  w ork 1 20, d o c to r"" "
df1 = pd. r e ad_ csv
 some_code changes.

A:

There_are a bunch of_ways to_do_this. Some_thread_that might help_you:
Android: Rotate image_in imageview by an_angle
Android Speedometer (Needle_Gauge)
Android_Gauge Animation Question
Here' a good tutorial I found that makes a vintage thermometer using_a_similar kind_of_animation:
http://mindtherobot.com/blog/272/android-custom-ui-making-a-vintage-thermometer/

_Q:

Using pandas to merge data_and output Json

I have several_different CSV_files like this: 
one: 

iq, name 
69, joe
122,_james
...

two:

iq_start,_iq_end, category
120,500, Very_Superior
120,129,    Superior
110,119,    High_Average
90,109, Average
80,89,  Low Average
70,79, _Borderline
0,69,  _Extremely_Low

three:_
iq, career
69, manual work
122,_doctor

I want to pull the data_into pandas, and output the data_like this 
[
"122" = {
  _ "name" : "james",
  _ "career" : "doctor"
 _ _"category" : "Superior"
  _ },

"69" =_{
 _  "name"_: "joe",
    "career"_: "manual work"
_   "category" : "Extremely_Low"
_  _}

]

Can_panda_pull this_off or get_me_some of_the_way?

A:

Here is the code, but are_you_sure there are not two person with_the same IQ?
import pandas_as_pd
import io

one="""iq, name
69, joe
120,_james"""

two="""iq_start, iq_end, category
130,500, Very Superior
120,129,_   Superior
110,119,  _ High_Average
90,109, Average
80,89,_ Low Average
70,79,  Borderline
0,69,   Extremely Low"""

three="""iq, career
69, manual_work
120, doctor"""

df1 = pd.read_csv