I usually go straight to the source when looking for things in DataFrames as the documentation is missing quite a bit of functionality (push!, hcat, vcat, melt etc..) but in this case as Kevin mentioned: no dice.
But you can always hack it: using DataFrames fname = "datat.csv" data = readcsv(fname,Any) io = IOBuffer() writecsv(io,data') seek(io,0) readtable(io,filesize(fname)) On Wednesday, September 3, 2014 10:34:41 PM UTC-5, Leah Hanson wrote: > > So, assuming you have a CSV file that looks like this: > > ~~~ > Column One,2,3,4 > Column Two,2,5,7 > Column Three,1,9,8 > ~~~ > > But each line has a lot more numbers in it. I would like to read it into a > DataFrame, where the DataFrame would understand it as: > > ~~~ > Column One, Column Two, Column Three > 2,2,1 > 3,5,9 > 4,7,8 > ~~~ > > Is the best thing just to edit the file first into a normal format, or is > there some option I can pass into DataFrames to make it understand? (I did > not see one on the I/O page of the DataFrames docs, but that can be out of > date sometimes.) > > [I realize this is an unusual thing to want. I expect to just edit the > file to be in the right order, but I wanted to check to see if DataFrames > already handles this.] > > Thanks, > Leah >
