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ejmurray 300000kms elipg karan999 pgupta1980 nabil09 existeundelta kanbak amjadhisham zekunlin eguillotel ltaocs donghochoi jrm1 rrkandala maohuaxie gao3tai robinarthur seanphil abhisekchakraborty8 aoronbarlow karthikdec52 janhon3n wwwtttccc lparfer ankitbit ferranlopez jonysimon4 let4ik antoniofraga adham83 olatechie john-m-walls kkim610 adambens mxpl18 arnabtarwani priya-gittest lazycrazyowl jeridiahmed avielmak danselem lexruee nhatnguyen12 myatiyah anupamnepal vikitorentino gerarddeegan buyuhuang stevecassidy gustavomora jpuigbo88 zakariaelkhilani cvlshi charlesfung87 ggiancarlos mqcomp257 vssousa ga188 mrehan31 sophiay404 marcosgodoy sauchilee jalex10 abhinav-codealchemist ubiquitousisomnipresent gelimi jmcclenon satishveluru z1qsx yekalian ncdingari mrindermann carliebyrne fanofmeasurement dcgb77 arshprs rajasree-r rapidravi najwach pks1005 cccllccc togidan otarik641 khayweee jasoonpang xiaotianbabi arsikj manish2393cool yassinhamdaoui marystovall oserttas-math aohanhongzhi schairez alexcasper awu2000data ahmed1 jy862 rockyzyl rohanrajnair

df2 = df.drop( df.index[(df.income =='>50K\n') & 
       (df['age'] > df[’age’].median() + 35) & 
       (df['age'] > df[’age’].median() -15)
       ])

df2 = df.drop( df.index[(df.income=='>50K\n') & 
       ((df['age'] > df['age].median() + 35) | (df['age'] < df['age].median() - 15))])