I want to add the same header values (from -1 to 1) as the first column in Julia. I have tried pretty tables but I could only add it as row header. In dataframes I want to replace the sequence numbers to the range (from -1 to 1) Pictures and code are attached.
println(DataFrame(AStrings, [:("-1"), :("-3/4") , :("-1/2"), :("-1/4"), :("0"), :("1/4"), :("1/2"), :("3/4"),:("1")]))
pretty_table(AStrings , header = ([-1,-3/4, -1/2, -1/4, 0, 1/4, 1/2, 3/4, 1]))
Looks like the data is actually more a matrix than a data-frame, and adding another column with a qualitatively different meaning isn't nice. If the idea is just to pretty-print this matrix, perhaps the following is enough:
julia> using PrettyTables
julia> data = ["$(rand(0:1000)/1000),$(rand(0:1000)/1000)" for i=1:5,j=1:5]
5×5 Matrix{String}:
"0.862,0.52" "0.303,0.367" "0.747,0.679" "0.985,0.044" "0.094,0.463"
"0.226,0.429" "0.537,0.598" "0.625,0.922" "0.928,0.271" "0.138,0.162"
"0.86,0.004" "0.741,0.861" "0.747,0.656" "0.514,0.851" "0.304,0.555"
"0.354,0.221" "0.169,0.824" "0.431,0.988" "0.459,0.327" "0.172,0.614"
"0.271,0.588" "0.148,0.942" "0.842,0.663" "0.084,0.265" "0.44,0.818"
julia> names = string.(-1//1:1//2:1//1)
5-element Vector{String}:
"-1//1"
"-1//2"
"0//1"
"1//2"
"1//1"
julia> pretty_table(data; header=names, row_names=names)
┌───────┬─────────────┬─────────────┬─────────────┬─────────────┬─────────────┐
│ │ -1//1 │ -1//2 │ 0//1 │ 1//2 │ 1//1 │
├───────┼─────────────┼─────────────┼─────────────┼─────────────┼─────────────┤
│ -1//1 │ 0.862,0.52 │ 0.303,0.367 │ 0.747,0.679 │ 0.985,0.044 │ 0.094,0.463 │
│ -1//2 │ 0.226,0.429 │ 0.537,0.598 │ 0.625,0.922 │ 0.928,0.271 │ 0.138,0.162 │
│ 0//1 │ 0.86,0.004 │ 0.741,0.861 │ 0.747,0.656 │ 0.514,0.851 │ 0.304,0.555 │
│ 1//2 │ 0.354,0.221 │ 0.169,0.824 │ 0.431,0.988 │ 0.459,0.327 │ 0.172,0.614 │
│ 1//1 │ 0.271,0.588 │ 0.148,0.942 │ 0.842,0.663 │ 0.084,0.265 │ 0.44,0.818 │
└───────┴─────────────┴─────────────┴─────────────┴─────────────┴─────────────┘
The OP mentioned 9 columns and names advance by 1/4, but it is the same idea (5 columns fit stackoverflow width).