Invalid sink argument after upgrading to julia 1.6

General Usage
,
1

I updated to Julia 1.6 by downloading the generic linux and moving them in the folder I keep julia. I launched atom, reinstalled all the packages (I need to do it every time I update, so I try to upgrade as little as possible), but I got this error:

# from script
julia> using Pkg

julia> Pkg.add("DataFrames")
    Updating registry at `~/.julia/registries/General`
    Updating git-repo `https://github.com/JuliaRegistries/General.git`
   Resolving package versions...
  No Changes to `~/.julia/environments/v1.6/Project.toml`
  No Changes to `~/.julia/environments/v1.6/Manifest.toml`

julia> Pkg.add("CSV")
   Resolving package versions...
  No Changes to `~/.julia/environments/v1.6/Project.toml`
  No Changes to `~/.julia/environments/v1.6/Manifest.toml`

julia> Pkg.add("Statistics")
   Resolving package versions...
  No Changes to `~/.julia/environments/v1.6/Project.toml`
  No Changes to `~/.julia/environments/v1.6/Manifest.toml`

julia> Pkg.add("DelimitedFiles")
   Resolving package versions...
  No Changes to `~/.julia/environments/v1.6/Project.toml`
  No Changes to `~/.julia/environments/v1.6/Manifest.toml`

> julia> # this is weird: smaller font, different shade -- is it pointing to another version of julia?
# paste again into REPL
julia> using DataFrames

julia> using CSV

julia> using Statistics

julia> using DelimitedFiles

julia> df = CSV.read("/home/gigiux/EXT/rslt/deNovo.tsv",
           delim='\t', decimal='.')
ERROR: ArgumentError: provide a valid sink argument, like `using DataFrames; CSV.read(source, DataFrame)`
Stacktrace:
 [1] read(source::String, sink::Nothing; copycols::Bool, kwargs::Base.Iterators.Pairs{Symbol, Char, Tuple{Symbol, Symbol}, NamedTuple{(:delim, :decimal), Tuple{Char, Char}}})
   @ CSV ~/.julia/packages/CSV/CJfFO/src/CSV.jl:43
 [2] top-level scope
   @ none:1

Essentially, I can’t open a tab-delimited file even if the packages are loaded.
How can I solve this issue?
Thank you

2

the error msg said exactly what you should do?

btw, you should do DataFrame(CSV.File()) now

2 Likes
3

Check out the docs for CSV.read. You need to tell the function what you want your output to be. CSV.read(path, DataFrame).

2 Likes