mohan.radhakrishnan at polarisft.com
2013-Nov-01 08:09 UTC
[R] Replace element with pattern
Hi, I have a data frame with one column and several rows of the form. "Peak Usage : init:2359296, used:15859328, committed:15892480, max:50331648Current Usage : init:2359296, used:15857920, committed:15892480, max:50331648|-------------------|" I tested the regex Current.*?[\|] in an online tester which greedily matches upto the first 'pipe' character Current Usage : init:2359296, used:15857920, committed:15892480, max:50331648| This is what I want. I tried to replace the entire rows using apply( y, 1, function(x) gsub(x,"Current.*?[/|]",x)) which didn't work. How is this done ? I also want to recursively apply some more patterns one by one on the rows till I reduce it to exactly what I want. Is there a way to do this without loops ? Thanks, Mohan This e-Mail may contain proprietary and confidential information and is sent for the intended recipient(s) only. If by an addressing or transmission error this mail has been misdirected to you, you are requested to delete this mail immediately. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication of this e-mail message, contents or its attachment other than by its intended recipient/s is strictly prohibited. Visit us at http://www.polarisFT.com [[alternative HTML version deleted]]
try this:> x <- rbind("Peak Usage : init:2359296, used:15859328, committed:15892480,max:50331648Current Usage : init:2359296, used:15857920,committed:15892480, max:50331648|-------------------|") > apply(x, 1, function(a) sub("(Current.*?[/|]).*", "\\1", a))[1] "Peak Usage : init:2359296, used:15859328, committed:15892480,max:50331648Current Usage : init:2359296, used:15857920,committed:15892480, max:50331648|"> >Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. On Fri, Nov 1, 2013 at 4:09 AM, <mohan.radhakrishnan at polarisft.com> wrote:> Hi, > I have a data frame with one column and several rows of the form. > > "Peak Usage : init:2359296, used:15859328, committed:15892480, > max:50331648Current Usage : init:2359296, used:15857920, > committed:15892480, max:50331648|-------------------|" > > I tested the regex > > Current.*?[\|] > > in an online tester which greedily matches upto the first 'pipe' character > > Current Usage : init:2359296, used:15857920, committed:15892480, > max:50331648| > > This is what I want. > > I tried to replace the entire rows using > > apply( y, 1, function(x) gsub(x,"Current.*?[/|]",x)) which didn't work. > > How is this done ? I also want to recursively apply some more patterns one > by one on the rows till I reduce it to exactly what I want. Is there a way > to do this without loops ? > > Thanks, > Mohan > > > This e-Mail may contain proprietary and confidential information and is sent for the intended recipient(s) only. If by an addressing or transmission error this mail has been misdirected to you, you are requested to delete this mail immediately. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication of this e-mail message, contents or its attachment other than by its intended recipient/s is strictly prohibited. > > Visit us at http://www.polarisFT.com > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Hi, Try this: Lines1 <- readLines(textConnection("Peak Usage??? : init:2359296, used:15859328, committed:15892480,max:50331648Current Usage : init:2359296 used:15857920,committed:15892480,max:50331648|-------------------| Peak Usage??? : init:2359296, used:15859328, committed:15892480,max:50331648Current Usage : init:2359296 used:15857920,committed:15892480,max:50331648|-------------------|")) data.frame(Col1=as.matrix(gsub("(.*?[/|])","\\1",Lines1))) #Assuming that you want to read it from Peak Usage to the first "|": #If it is from Current Usage to "|" data.frame(Col1=as.matrix(gsub("^.*(Current.*?[/|]).*","\\1",Lines1))) A.K. On Friday, November 1, 2013 4:11 AM, "mohan.radhakrishnan at polarisft.com" <mohan.radhakrishnan at polarisft.com> wrote: Hi, ? ? ? ? I have a data frame with one column and several rows of the form. "Peak Usage? ? : init:2359296, used:15859328, committed:15892480, max:50331648Current Usage : init:2359296, used:15857920, committed:15892480, max:50331648|-------------------|" I tested the regex Current.*?[\|] in an online tester which greedily matches upto the first 'pipe' character Current Usage : init:2359296, used:15857920, committed:15892480, max:50331648| This is what I want. I tried to replace the entire rows using apply( y, 1, function(x) gsub(x,"Current.*?[/|]",x)) which didn't work. How is this done ? I also want to recursively apply some more patterns one by one on the rows till I reduce it to exactly what I want. Is there a way to do this without loops ? Thanks, Mohan This e-Mail may contain proprietary and confidential information and is sent for the intended recipient(s) only.? If by an addressing or transmission error this mail has been misdirected to you, you are requested to delete this mail immediately. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution and/or publication of this e-mail message, contents or its attachment other than by its intended recipient/s is strictly prohibited. Visit us at http://www.polarisFT.com ??? [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.