Двойной индекс питон панды

Я в настоящее время пытаюсь изменить файл CSV в dataframe с пандами из питона и изменить его для того, чтобы иметь формат, как следующее:Двойной индекс питон панды

Year Country  Serie1   Serie2  ... 
     Afganistan  Something  Something  Something 
1970 Columbia  Sth    Sth   Sth 
     Zimbabwue  S    S    S

Где год индекс, имеет только одну данные для первой партии страны, а второй для второй партии и т.д.

данные у меня есть от:

https://github.com/antonio1695/Python/blob/master/CMU/GS.csv

И код, который я сделал:

todo2=pd.read_csv("GS.csv") 
todo2 = todo2.rename(columns = {'1970 [YR1970]':'1970'}) 
todo2 = todo2.rename(columns = {'1980 [YR1980]':'1980'}) 
todo2 = todo2.rename(columns = {'1990 [YR1990]':'1990'}) 
todo2 = todo2.rename(columns = {'1995 [YR1995]':'1995'}) 
todo2 = todo2.rename(columns = {'2000 [YR2000]':'2000'}) 
todo2 = todo2.rename(columns = {'2005 [YR2005]':'2005'}) 
todo2 = todo2.rename(columns = {'2010 [YR2010]':'2010'}) 
todo2 = todo2.rename(columns = {'2015 [YR2015]':'2015'}) 
GS1970 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '1970') # Pivotear como 
GS1980 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '1980') # lo queriamos. 
GS1990 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '1990') 
GS1995 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '1995') 
GS2000 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '2000') 
GS2005 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '2005') 
GS2010 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '2010') 
GS2015 = todo2.pivot(index = 'Country Name',columns = 'Series Name', values = '2015') 
GS1970['Year']=1970 
GS1980['Year']=1980 
GS1990['Year']=1990 
GS1995['Year']=1995 
GS2000['Year']=2000 
GS2005['Year']=2005 
GS2010['Year']=2010 
GS2015['Year']=2015 

GS = GS1970.append(GS1980).append(GS1990).append(GS1995).append(GS2000).append(GS2005).append(GS2010).append(GS2015) 

GS.index.names=['Country'] 
GS=GS.set_index('Year','Country').sort_index()

Он работает почти идеально, но это дает мне dataframe так:

Year  Serie1   Serie2  ... 
       Something  Something  Something 
    1970  Sth    Sth   Sth 
       S    S    S

Как вы можете видеть, страна отсутствует в индексе, и я не могу похоже, могут его добавить. Я очень благодарен за вашу помощь.

Я добавлю некоторые из данных, который находится в ссылке:

Country,Country Code,Series,Series Code,1970 [YR1970],1980 [YR1980],1990 [YR1990],1995 [YR1995],2000 [YR2000],2005 [YR2005],2010 [YR2010],2015 [YR2015] 
Afghanistan,AFG,Annual statutory teacher salaries in public institutions in USD. Upper Secondary. Starting salary,OECD.TSAL.3.E0,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Adult literacy rate, population 15+ years, female (%)",SE.ADT.LITR.FE.ZS,..,..,..,..,..,..,..,24.15337 
Afghanistan,AFG,"Adult literacy rate, population 15+ years, both sexes (%)",SE.ADT.LITR.ZS,..,..,..,..,..,..,..,38.15612 
Afghanistan,AFG,"Adult literacy rate, population 15+ years, gender parity index (GPI)",UIS.LR.AG15T99.GPI,..,..,..,..,..,..,..,0.46456 
Afghanistan,AFG,"Adult literacy rate, population 15+ years, male (%)",SE.ADT.LITR.MA.ZS,..,..,..,..,..,..,..,51.99192 
Afghanistan,AFG,Annual statutory teacher salaries in public institutions in USD. Pre-Primary. Starting salary,OECD.TSAL.0.E0,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Annual statutory teacher salaries in public institutions in USD. Primary. Starting salary,OECD.TSAL.1.E0,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Duration of compulsory education (years),SE.COM.DURS,..,..,..,..,6,..,9,.. 
Afghanistan,AFG,"Early school leavers from primary education, both sexes (number)",UIS.ESL.1.T,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Early school leavers from primary education, female (number)",UIS.ESL.1.F,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Early school leavers from primary education, male (number)",UIS.ESL.1.M,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Effective transition rate from primary to lower secondary general education, both sexes (%)",SE.SEC.PROG.ZS,..,83.90343,..,..,..,..,..,.. 
Afghanistan,AFG,"Effective transition rate from primary to lower secondary general education, female (%)",SE.SEC.PROG.FE.ZS,..,79.29369,..,..,..,..,..,.. 
Afghanistan,AFG,"Effective transition rate from primary to lower secondary general education, male (%)",SE.SEC.PROG.MA.ZS,..,84.8347,..,..,..,..,..,.. 
Afghanistan,AFG,"Enrolment in lower secondary education, private institutions, both sexes (number)",UIS.E.2.PR,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Enrolment in lower secondary education, private institutions, female (number)",UIS.E.2.PR.F,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Enrolment in lower secondary education, public institutions, female (number)",UIS.E.2.PU.F,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,GDP per capita (current US$),NY.GDP.PCAP.CD,157.2584608,275.6498281,..,..,..,257.1757947,569.9407288,.. 
Afghanistan,AFG,Government expenditure in educational institutions as % of GDP (%),UIS.XGDP.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Government expenditure in post-secondary non-tertiary institutions as % of GDP (%),UIS.XGDP.4.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Government expenditure in pre-primary institutions as % of GDP (%),UIS.XGDP.0.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Government expenditure in primary institutions as % of GDP (%),UIS.XGDP.1.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Government expenditure in secondary institutions education as % of GDP (%),XGDP.23.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Gross enrolment ratio, post-secondary non-tertiary, both sexes (%)",UIS.GER.4,..,..,..,..,..,..,4.89862,.. 
Afghanistan,AFG,"Gross enrolment ratio, post-secondary non-tertiary, female (%)",UIS.GER.4.F,..,..,..,..,..,..,3.08739,.. 
Afghanistan,AFG,"Gross enrolment ratio, post-secondary non-tertiary, male (%)",UIS.GER.4.M,..,..,..,..,..,..,6.59065,.. 
Afghanistan,AFG,Labor force with tertiary education (% of total),SL.TLF.TERT.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force with secondary education, male (% of male labor force)",SL.TLF.SECO.MA.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force with secondary education, female (% of female labor force)",SL.TLF.SECO.FE.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Labor force with secondary education (% of total),SL.TLF.SECO.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force with primary education, female (% of female labor force)",SL.TLF.PRIM.FE.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Labor force with primary education (% of total),SL.TLF.PRIM.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force with primary education, male (% of male labor force)",SL.TLF.PRIM.MA.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,Internet users (per 100 people),IT.NET.USER.P2,..,..,0,..,..,1.224148084,4,.. 
Afghanistan,AFG,"Labor force with tertiary education, female (% of female labor force)",SL.TLF.TERT.FE.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force with tertiary education, male (% of male labor force)",SL.TLF.TERT.MA.ZS,..,..,..,..,..,..,..,.. 
Afghanistan,AFG,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,..,..,15.44573728,14.43635836,13.62850388,13.9706651,15.53812459,.. 
Afghanistan,AFG,"Labor force, total",SL.TLF.TOTL.IN,..,..,3083498,4246528,4823765,6112379,7049139,.. 
Afghanistan,AFG,"Lower secondary completion rate, both sexes (%)",SE.SEC.CMPT.LO.ZS,..,13.64288,..,..,..,17.04929,..,.. 
Afghanistan,AFG,"Lower secondary completion rate, female (%)",SE.SEC.CMPT.LO.FE.ZS,..,5.88732,..,..,..,9.49475,..,.. 
Afghanistan,AFG,"Lower secondary completion rate, male (%)",SE.SEC.CMPT.LO.MA.ZS,..,21.05249,..,..,..,24.13043,..,.. 
Albania,ALB,Annual statutory teacher salaries in public institutions in USD. Upper Secondary. Starting salary,OECD.TSAL.3.E0,..,..,..,..,..,..,..,.. 
Albania,ALB,"Adult literacy rate, population 15+ years, female (%)",SE.ADT.LITR.FE.ZS,..,..,..,..,..,..,..,96.88302 
Albania,ALB,"Adult literacy rate, population 15+ years, both sexes (%)",SE.ADT.LITR.ZS,..,..,..,..,..,..,..,97.62414 
Albania,ALB,"Adult literacy rate, population 15+ years, gender parity index (GPI)",UIS.LR.AG15T99.GPI,..,..,..,..,..,..,..,0.98478 
Albania,ALB,"Adult literacy rate, population 15+ years, male (%)",SE.ADT.LITR.MA.ZS,..,..,..,..,..,..,..,98.38066 
Albania,ALB,Annual statutory teacher salaries in public institutions in USD. Pre-Primary. Starting salary,OECD.TSAL.0.E0,..,..,..,..,..,..,..,.. 
Albania,ALB,Annual statutory teacher salaries in public institutions in USD. Primary. Starting salary,OECD.TSAL.1.E0,..,..,..,..,..,..,..,.. 
Albania,ALB,Duration of compulsory education (years),SE.COM.DURS,..,..,..,..,8,8,8,.. 
Albania,ALB,"Early school leavers from primary education, both sexes (number)",UIS.ESL.1.T,..,..,..,..,..,..,2005.99341,.. 
Albania,ALB,"Early school leavers from primary education, female (number)",UIS.ESL.1.F,..,..,..,..,..,..,916.50116,.. 
Albania,ALB,"Early school leavers from primary education, male (number)",UIS.ESL.1.M,..,..,..,..,..,..,1089.49231,.. 
Albania,ALB,"Effective transition rate from primary to lower secondary general education, both sexes (%)",SE.SEC.PROG.ZS,..,..,..,..,97.24541,..,99.18615,.. 
Albania,ALB,"Effective transition rate from primary to lower secondary general education, female (%)",SE.SEC.PROG.FE.ZS,..,..,..,..,97.59525,..,99.27686,.. 
Albania,ALB,"Effective transition rate from primary to lower secondary general education, male (%)",SE.SEC.PROG.MA.ZS,..,..,..,..,96.90948,..,99.10345,.. 
Albania,ALB,"Enrolment in lower secondary education, private institutions, both sexes (number)",UIS.E.2.PR,..,..,..,..,..,6464,9569,.. 
Albania,ALB,"Enrolment in lower secondary education, private institutions, female (number)",UIS.E.2.PR.F,..,..,..,..,..,3311,4499,.. 
Albania,ALB,"Enrolment in lower secondary education, public institutions, female (number)",UIS.E.2.PU.F,..,..,..,..,126583,118498,99726,.. 
Albania,ALB,GDP per capita (current US$),NY.GDP.PCAP.CD,..,..,639.4638993,760.5593758,1175.788981,2709.142931,4094.358832,.. 
Albania,ALB,Government expenditure in educational institutions as % of GDP (%),UIS.XGDP.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Albania,ALB,Government expenditure in post-secondary non-tertiary institutions as % of GDP (%),UIS.XGDP.4.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Albania,ALB,Government expenditure in pre-primary institutions as % of GDP (%),UIS.XGDP.0.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Albania,ALB,Government expenditure in primary institutions as % of GDP (%),UIS.XGDP.1.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Albania,ALB,Government expenditure in secondary institutions education as % of GDP (%),XGDP.23.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Albania,ALB,"Gross enrolment ratio, post-secondary non-tertiary, both sexes (%)",UIS.GER.4,..,..,..,..,..,..,..,.. 
Albania,ALB,"Gross enrolment ratio, post-secondary non-tertiary, female (%)",UIS.GER.4.F,..,..,..,..,..,..,..,.. 
Albania,ALB,"Gross enrolment ratio, post-secondary non-tertiary, male (%)",UIS.GER.4.M,..,..,..,..,..,..,..,.. 
Albania,ALB,Labor force with tertiary education (% of total),SL.TLF.TERT.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force with secondary education, male (% of male labor force)",SL.TLF.SECO.MA.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force with secondary education, female (% of female labor force)",SL.TLF.SECO.FE.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,Labor force with secondary education (% of total),SL.TLF.SECO.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force with primary education, female (% of female labor force)",SL.TLF.PRIM.FE.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,Labor force with primary education (% of total),SL.TLF.PRIM.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force with primary education, male (% of male labor force)",SL.TLF.PRIM.MA.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,Internet users (per 100 people),IT.NET.USER.P2,..,..,0,0.011168695,0.114097347,6.043890864,45,.. 
Albania,ALB,"Labor force with tertiary education, female (% of female labor force)",SL.TLF.TERT.FE.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force with tertiary education, male (% of male labor force)",SL.TLF.TERT.MA.ZS,..,..,..,..,..,..,..,.. 
Albania,ALB,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,..,..,40.56193622,42.93937258,41.15738229,41.41250834,40.91694803,.. 
Albania,ALB,"Labor force, total",SL.TLF.TOTL.IN,..,..,1420090,1376110,1339903,1300764,1263474,.. 
Albania,ALB,"Lower secondary completion rate, both sexes (%)",SE.SEC.CMPT.LO.ZS,..,..,..,..,82.06566,..,94.48979,.. 
Albania,ALB,"Lower secondary completion rate, female (%)",SE.SEC.CMPT.LO.FE.ZS,..,..,..,..,81.63975,..,96.4149,.. 
Albania,ALB,"Lower secondary completion rate, male (%)",SE.SEC.CMPT.LO.MA.ZS,..,..,..,..,82.48391,..,92.71123,.. 
Algeria,DZA,Annual statutory teacher salaries in public institutions in USD. Upper Secondary. Starting salary,OECD.TSAL.3.E0,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Adult literacy rate, population 15+ years, female (%)",SE.ADT.LITR.FE.ZS,..,..,..,..,..,..,..,73.13369 
Algeria,DZA,"Adult literacy rate, population 15+ years, both sexes (%)",SE.ADT.LITR.ZS,..,..,..,..,..,..,..,80.19891 
Algeria,DZA,"Adult literacy rate, population 15+ years, gender parity index (GPI)",UIS.LR.AG15T99.GPI,..,..,..,..,..,..,..,0.83895 
Algeria,DZA,"Adult literacy rate, population 15+ years, male (%)",SE.ADT.LITR.MA.ZS,..,..,..,..,..,..,..,87.17262 
Algeria,DZA,Annual statutory teacher salaries in public institutions in USD. Pre-Primary. Starting salary,OECD.TSAL.0.E0,..,..,..,..,..,..,..,.. 
Algeria,DZA,Annual statutory teacher salaries in public institutions in USD. Primary. Starting salary,OECD.TSAL.1.E0,..,..,..,..,..,..,..,.. 
Algeria,DZA,Duration of compulsory education (years),SE.COM.DURS,..,..,..,..,10,10,10,.. 
Algeria,DZA,"Early school leavers from primary education, both sexes (number)",UIS.ESL.1.T,..,196992.3281,161233,..,61373.84375,40614.15234,32862.78906,.. 
Algeria,DZA,"Early school leavers from primary education, female (number)",UIS.ESL.1.F,..,97245.28906,88311.75,..,23733.01367,14010.44629,9263.79688,.. 
Algeria,DZA,"Early school leavers from primary education, male (number)",UIS.ESL.1.M,..,99747.04688,72921.25,..,37640.82813,26603.70703,23598.99219,.. 
Algeria,DZA,"Effective transition rate from primary to lower secondary general education, both sexes (%)",SE.SEC.PROG.ZS,..,61.98958,88.89488,87.03647,93.25744,92.31375,98.57422,.. 
Algeria,DZA,"Effective transition rate from primary to lower secondary general education, female (%)",SE.SEC.PROG.FE.ZS,..,62.18438,86.92801,85.00355,94.1204,93.12243,97.06229,.. 
Algeria,DZA,"Effective transition rate from primary to lower secondary general education, male (%)",SE.SEC.PROG.MA.ZS,..,61.85777,90.43619,88.79378,92.46102,91.5552,100,.. 
Algeria,DZA,"Enrolment in lower secondary education, private institutions, both sexes (number)",UIS.E.2.PR,..,..,..,..,..,..,2332,.. 
Algeria,DZA,"Enrolment in lower secondary education, private institutions, female (number)",UIS.E.2.PR.F,..,..,..,..,..,..,1721,.. 
Algeria,DZA,"Enrolment in lower secondary education, public institutions, female (number)",UIS.E.2.PU.F,..,..,..,..,962680,1159670,1548517,.. 
Algeria,DZA,GDP per capita (current US$),NY.GDP.PCAP.CD,334.2595552,2189.775719,2394.420608,1444.907936,1757.011974,3102.037384,4473.486446,.. 
Algeria,DZA,Government expenditure in educational institutions as % of GDP (%),UIS.XGDP.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Algeria,DZA,Government expenditure in post-secondary non-tertiary institutions as % of GDP (%),UIS.XGDP.4.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Algeria,DZA,Government expenditure in pre-primary institutions as % of GDP (%),UIS.XGDP.0.FSGOV.FDINSTADM.FFD,..,..,..,..,..,..,..,.. 
Algeria,DZA,Government expenditure in primary institutions as % of GDP (%),UIS.XGDP.1.FSGOV.FDINSTADM.FFD,..,..,..,..,1.54447,..,..,.. 
Algeria,DZA,Government expenditure in secondary institutions education as % of GDP (%),XGDP.23.FSGOV.FDINSTADM.FFD,..,..,..,..,1.67496,..,..,.. 
Algeria,DZA,"Gross enrolment ratio, post-secondary non-tertiary, both sexes (%)",UIS.GER.4,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Gross enrolment ratio, post-secondary non-tertiary, female (%)",UIS.GER.4.F,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Gross enrolment ratio, post-secondary non-tertiary, male (%)",UIS.GER.4.M,..,..,..,..,..,..,..,.. 
Algeria,DZA,Labor force with tertiary education (% of total),SL.TLF.TERT.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force with secondary education, male (% of male labor force)",SL.TLF.SECO.MA.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force with secondary education, female (% of female labor force)",SL.TLF.SECO.FE.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,Labor force with secondary education (% of total),SL.TLF.SECO.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force with primary education, female (% of female labor force)",SL.TLF.PRIM.FE.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,Labor force with primary education (% of total),SL.TLF.PRIM.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force with primary education, male (% of male labor force)",SL.TLF.PRIM.MA.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,Internet users (per 100 people),IT.NET.USER.P2,..,..,0,0.001768954,0.491705679,5.843942092,12.5,.. 
Algeria,DZA,"Labor force with tertiary education, female (% of female labor force)",SL.TLF.TERT.FE.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force with tertiary education, male (% of male labor force)",SL.TLF.TERT.MA.ZS,..,..,..,..,..,..,..,.. 
Algeria,DZA,"Labor force, female (% of total labor force)",SL.TLF.TOTL.FE.ZS,..,..,11.63240408,12.79140636,13.48421486,14.93502388,16.8776628,.. 
Algeria,DZA,"Labor force, total",SL.TLF.TOTL.IN,..,..,6210711,7773938,8956873,10122642,11308343,.. 
Algeria,DZA,"Lower secondary completion rate, both sexes (%)",SE.SEC.CMPT.LO.ZS,..,30.99068,57.86388,57.14134,51.51907,72.37749,58.44122,.. 
Algeria,DZA,"Lower secondary completion rate, female (%)",SE.SEC.CMPT.LO.FE.ZS,..,23.78618,50.54142,55.18334,56.52461,77.84766,66.43117,.. 
Algeria,DZA,"Lower secondary completion rate, male (%)",SE.SEC.CMPT.LO.MA.ZS,..,37.86296,64.89034,59.02348,46.7084,67.13218,50.74376,.. 
American Samoa,ASM,Annual statutory teacher salaries in public institutions in USD. Upper Secondary. Starting salary,OECD.TSAL.3.E0,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Adult literacy rate, population 15+ years, female (%)",SE.ADT.LITR.FE.ZS,..,97.21991,..,..,..,..,..,.. 
American Samoa,ASM,"Adult literacy rate, population 15+ years, both sexes (%)",SE.ADT.LITR.ZS,..,97.34416,..,..,..,..,..,.. 
American Samoa,ASM,"Adult literacy rate, population 15+ years, gender parity index (GPI)",UIS.LR.AG15T99.GPI,..,0.99743,..,..,..,..,..,.. 
American Samoa,ASM,"Adult literacy rate, population 15+ years, male (%)",SE.ADT.LITR.MA.ZS,..,97.46996,..,..,..,..,..,.. 
American Samoa,ASM,Annual statutory teacher salaries in public institutions in USD. Pre-Primary. Starting salary,OECD.TSAL.0.E0,..,..,..,..,..,..,..,.. 
American Samoa,ASM,Annual statutory teacher salaries in public institutions in USD. Primary. Starting salary,OECD.TSAL.1.E0,..,..,..,..,..,..,..,.. 
American Samoa,ASM,Duration of compulsory education (years),SE.COM.DURS,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Early school leavers from primary education, both sexes (number)",UIS.ESL.1.T,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Early school leavers from primary education, female (number)",UIS.ESL.1.F,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Early school leavers from primary education, male (number)",UIS.ESL.1.M,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Effective transition rate from primary to lower secondary general education, both sexes (%)",SE.SEC.PROG.ZS,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Effective transition rate from primary to lower secondary general education, female (%)",SE.SEC.PROG.FE.ZS,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Effective transition rate from primary to lower secondary general education, male (%)",SE.SEC.PROG.MA.ZS,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Enrolment in lower secondary education, private institutions, both sexes (number)",UIS.E.2.PR,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Enrolment in lower secondary education, private institutions, female (number)",UIS.E.2.PR.F,..,..,..,..,..,..,..,.. 
American Samoa,ASM,"Enrolment in lower secondary education, public institutions, female (number)",UIS.E.2.PU.F,..,..,..,..,..,..,..,..

источник

2016-07-14 Antonio López Ruiz

Вырезать некоторые данные из csv с заголовком и добавить к вопросу.SO люди вряд ли загружают данные csv. – Merlin

Хорошо, дай мне секунду. –

import pandas as pd 
import re 

todo2 = pd.read_csv("GS.csv") 
todo2.columns = [re.sub(r'(\d+) \[YR\1\]', r'\1', col) for col in todo2.columns] 
melted = pd.melt(todo2, id_vars=['Series Name', 'Country Name'], var_name='Year') 
result = melted.set_index(['Series Name', 'Year', 'Country Name'])['value'].unstack('Series Name')

дает DataFrame, result с мультииндексных из Year с и Country Name с, а индекс столбца Series Name s.

In [53]: result.iloc[:3,:2].head() 
Out[53]: 
Series Name  Age dependency ratio (% of working-age population) \ 
Year Country Name              
1970 Afghanistan           88.12683234 
    Albania            85.54006984 
    Algeria            101.510271 

Series Name  Average number of hours spent on unpaid domestic work (housework and child care), female 
Year Country Name                       
1970 Afghanistan             ..           
    Albania              ..           
    Algeria              ..

Вместо

todo2 = todo2.rename(columns = {'1970 [YR1970]':'1970'}) 
todo2 = todo2.rename(columns = {'1980 [YR1980]':'1980'}) 
todo2 = todo2.rename(columns = {'1990 [YR1990]':'1990'}) 
todo2 = todo2.rename(columns = {'1995 [YR1995]':'1995'}) 
todo2 = todo2.rename(columns = {'2000 [YR2000]':'2000'}) 
todo2 = todo2.rename(columns = {'2005 [YR2005]':'2005'}) 
todo2 = todo2.rename(columns = {'2010 [YR2010]':'2010'}) 
todo2 = todo2.rename(columns = {'2015 [YR2015]':'2015'})

вы можете использовать регулярные выражения замены:

todo2.columns = [re.sub(r'(\d+) \[YR\1\]', r'\1', col) for col in todo2.columns]

Обратите внимание, что todo2 имеет столбцы

In [50]: todo2.columns 
Out[50]: 
Index(['Series Name', 'Country Name', '1970', '1975', '1980', '1985', '1990', 
     '1995', '2000', '2005', '2010', '2015'], 
     dtype='object')

Мы хотим сохранить Series Name, Country Name в качестве столбцов и поместить метки года в новую колонку. Эта операция может быть сделана pd.melt:

melted = pd.melt(todo2, id_vars=['Series Name', 'Country Name'], var_name='Year')

id_vars=['Series Name', 'Country Name'] определяет столбцы, которые будут сохранены. Все остальные столбцы «расплавлены». Обратите внимание, мы теперь имеем Year столбец:

In [51]: melted.head() 
Out[51]: 
             Series Name Country Name Year \ 
0 Age dependency ratio (% of working-age populat...  Afghanistan 1970 
1 Age dependency ratio (% of working-age populat...   Albania 1970 
2 Age dependency ratio (% of working-age populat...   Algeria 1970 
3 Age dependency ratio (% of working-age populat... American Samoa 1970 
4 Age dependency ratio (% of working-age populat...   Andorra 1970 

     value 
0 88.12683234 
1 85.54006984 
2 101.510271 
3   .. 
4   ..

Мы почти закончили. Теперь используйте set_index для перемещения ['Series Name', 'Year', 'Country Name'] столбцов в индекс, а затем unstackSeries Name уровень индекса.

result = melted.set_index(['Series Name', 'Year', 'Country Name'])['value'].unstack('Series Name')

unstack операция перемещает уровень индекса до уровня столбца. Таким образом, вы получаете столбцы, которые являются значениями от Series Name.

источник

2016-07-14 02:28:54 unutbu

Работал отлично, за исключением того, что у меня есть данные, такие как: '' 'SL.TLF.TOTL.FE.ZS''' –

Найденный здесь был использован код серии! –

The above answer from unubtu имеет правильный способ сделать это. Однако, отвечая на ваш первоначальный вопрос

1) Правильный синтаксис равен GS.set_index(['Year', 'Country']), а не GS.set_index('Year', 'Country'), который устанавливает второй позиционный аргумент в Country. Не то, что вы хотите.

2) Country является индексом кадра данных GS. Линия GS.set_index(['Year', 'Country']) предназначена для установки индекса со столбцами кадра данных. Таким образом, для вычисления столбца вместо индекса следует использовать Country.

Кроме того, не назначайте GS.index.names. Pandas использует этот атрибут для размещения надписей MultiIndex и discourages direct access. Вместо этого используйте метод Index set_names.

источник

2016-07-14 02:50:46 Vamsi

Двойной индекс питон панды

ответ

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