I have a data frame with a large number of columns and I would like to remove certain unnecessary columns as part of the initial data wrangling.
I can do this succinctly using the numeric index... using DataFrames A = DataFrame(A=1:3, B=4:6, C=7:9, D=10:12, E=13:15) B = A[:, setdiff(1:end,[3,4])] # returns DFs without columns C & D Is there a way to do this using the column names rather than their numeric indices? Andre
