I'd convert the whole DataFrame to a matrix and use a loop over rows. On Nov 22, 2015 2:54 AM, "Fred" <fred.softwa...@gmail.com> wrote:
> In my last example, the function mean() is not well chosen. In fact, what > I would like to calculate is a statistical test line by lline, like TTest, > or Wilcoxon. This is why I need to iterate thought 2 DataFrames at the same > time if I subset the DataFrame first to increase speed :) > > > Something like : > > julia> for r1,r2 in eachrow(df1, df2) > println(TTest(r1,r2)) > end > ERROR: syntax: invalid iteration specification > > > > > Le samedi 21 novembre 2015 19:17:27 UTC+1, Fred a écrit : >> >> It is a good idea but how is it possible to iterate two dataframes at the >> same time ? Something like : >> >> julia> df = DataFrame(a=1:5, b=7:11, c=10:14, d=20:24) >> 5x4 DataFrames.DataFrame >> | Row | a | b | c | d | >> |-----|---|----|----|----| >> | 1 | 1 | 7 | 10 | 20 | >> | 2 | 2 | 8 | 11 | 21 | >> | 3 | 3 | 9 | 12 | 22 | >> | 4 | 4 | 10 | 13 | 23 | >> | 5 | 5 | 11 | 14 | 24 | >> >> julia> df1 = df[1:2,] >> 5x2 DataFrames.DataFrame >> | Row | a | b | >> |-----|---|----| >> | 1 | 1 | 7 | >> | 2 | 2 | 8 | >> | 3 | 3 | 9 | >> | 4 | 4 | 10 | >> | 5 | 5 | 11 | >> >> julia> df1 = df[3:4,] >> 5x2 DataFrames.DataFrame >> | Row | c | d | >> |-----|----|----| >> | 1 | 10 | 20 | >> | 2 | 11 | 21 | >> | 3 | 12 | 22 | >> | 4 | 13 | 23 | >> | 5 | 14 | 24 | >> >> julia> for r1,r2 in eachrow(df1, df2) >> println(mean(r1,r2)) >> end >> ERROR: syntax: invalid iteration specification >> >> >> >> >> Le samedi 21 novembre 2015 15:08:34 UTC+1, tshort a écrit : >>> >>> For the subset, do the indexing after the conversion to an array, or >>> subset the DataFrame first (probably faster). >>> >>
