pap2 | this version is update to the 3d engine
kandi X-RAY | pap2 Summary
kandi X-RAY | pap2 Summary
this version is update to the 3d engine
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QUESTION
I have three tables: upload
, pap1
, pap2
) each table has 50 column and 150 thousands of rows, I want to split the three dataframes into matched multiple dataframes( where each subset has max 1000 rows) using the unique primary key,
for example, subset_upload1
must have the same ID'S in subset_pap1
and subset_pap2
and so on...
ANSWER
Answered 2020-Feb-29 at 23:04upload<-data.frame(employee_id=c(1,2,3),
employee=c('John','Peter','Jolie'),
salary=c(21000,23400,26800),
startdate=as.Date(c('2010-11-1','2008-3-25','2007-3-14')))
pap1<-data.frame(employee_id=c(1,2,3),
line_1=c('address1','address2','address3'),
line_2=c('address1','address2','address3'),
postcode=c('postcode1','postcode2','postcode'))
pap2<-data.frame(employee_id=c(1,2,3),
age=c(57,43,23),
Height=c(150,170,190),
gender=c('M','M','F'),
enddate=as.Date(c('2020-11-1','2020-3-25','2020-3-14')))
subupload1<-data.frame(employee_id=1,employee = "John",salary=21000,startdate=as.Date('2010-11-1'))
subpap1<-data.frame(employee_id=1,line_1='address1',line_2='address1',postcode='postcode1')
subpap2<-data.frame(employee_id=1,age=57,Height=150,gender='M',enddate=as.Date('2020-11-1'))
upload[upload$employee_id%in%1,]
upload[upload$employee_id%in%1:2,]
upload[upload$employee_id%in%1:3,]
upload<-upload[order(upload$employee_id),]
pap1<-pap1[order(pap1$employee_id),]
pap2<-pap2[order(pap2$employee_id),]
upload<-data.frame(employee_id=1:150000,
employee=sample(c('John','Peter','Jolie'),150000,replace=TRUE),
salary=sample(c(21000,23400,26800),150000,replace=TRUE),
startdate=sample(as.Date(c('2010-11-1','2008-3-25','2007-3-14')),150000,replace=TRUE))
split_setting<-c()
for(i in 1:(150000/1000))
split_setting<-c(split_setting,rep(i,1000))
result<-split(upload,split_setting)
result$`1`
nrow(result$`1`)
QUESTION
I have two files named file1 and file2. I want to compare both files and print the similar lines in another file. I used awk
and grep
but didn't get any solution. I checked so many answers related to my questions but also not so helpful in my case.
File 1:
...ANSWER
Answered 2019-Dec-10 at 06:19EDIT: After working with OP following is the command which worked for her.
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