more +3 “file.txt” >”file.txt.new” move /y “file.txt.new” “file.txt” >nul The above is fast and works great, with the following limitations: TAB characters are converted into a series of spaces. The number of lines to be preserved must be less than ~65535. MORE will hang, (wait for a key press), if the line number is exceeded. … Read more
On a native Windows install, you can either use batch(cmd.exe) or vbscript without the need to get external tools. Here’s an example in vbscript: Set objFS = CreateObject(“Scripting.FileSystemObject”) strFile = “c:\test\file.txt” Set objFile = objFS.OpenTextFile(strFile) Do Until objFile.AtEndOfStream strLine = objFile.ReadLine If InStr(strLine,”ex3″)> 0 Then strLine = Replace(strLine,”ex3″,”ex5″) End If WScript.Echo strLine Loop Save as … Read more
You are reading the line twice.. while ((read = in.readLine()) != null) { // here read = in.readLine(); // and here
lines_per_file = 300 smallfile = None with open(‘really_big_file.txt’) as bigfile: for lineno, line in enumerate(bigfile): if lineno % lines_per_file == 0: if smallfile: smallfile.close() small_filename=”small_file_{}.txt”.format(lineno + lines_per_file) smallfile = open(small_filename, “w”) smallfile.write(line) if smallfile: smallfile.close()
islice() can be used to get the next n items of an iterator. Thus, list(islice(f, n)) will return a list of the next n lines of the file f. Using this inside a loop will give you the file in chunks of n lines. At the end of the file, the list might be shorter, … Read more
Assuming there is one number per line: sort <file> | uniq -c You can use the more verbose –count flag too with the GNU version, e.g., on Linux: sort <file> | uniq –count
Use a slice, like below: with open(‘yourfile.txt’) as f: lines_after_17 = f.readlines()[17:] If the file is too big to load in memory: with open(‘yourfile.txt’) as f: for _ in range(17): next(f) for line in f: # do stuff
If your data is in wide format matplot is made for this and often forgotten about: dat <- matrix(runif(40,1,20),ncol=4) # make data matplot(dat, type = c(“b”),pch=1,col = 1:4) #plot legend(“topleft”, legend = 1:4, col=1:4, pch=1) # optional legend There is also the added bonus for those unfamiliar with things like ggplot that most of the … Read more