I figured out one way to do this...
B = A[:, setdiff(names(A),[symbol("D"), symbol("E")])] # removes columns C
& D using column names
A less verbose way?
On Wednesday, July 2, 2014 7:01:56 AM UTC+9, Andre P. wrote:
>
> 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
>
>
>
>
