UndefVarError: writeshortest not defined

[ahalwright]

Example on macOS (arm64-apple-darwin21.5.0) and on Generic Linux on x86 but not Windows.

Only occurs when dataframe includes a column of floats.

This issue was reported as fixed, but it isn't fixed.

using CSV, DataFrames
dff = DataFrame(:i=>[1.2,2.0])
CSV.write(stdout,dff)
ERROR: UndefVarError: writeshortest not defined
Stacktrace:
[1] writecell(buf::Vector{UInt8}, pos::Int64, len::Int64, io::Base.TTY, x::Float64, opts::CSV.Options{UInt8, UInt8, Nothing, Tuple{}, typeof(CSV._identity)})
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:444
[2] (::CSV.var"#106#107"{Vector{UInt8}, Base.RefValue{Int64}, Int64, Base.TTY, Int64, CSV.Options{UInt8, UInt8, Nothing, Tuple{}, typeof(CSV._identity)}, UInt8, UInt8})(val::Float64, col::Int64, nm::Symbol)
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:371
[3] eachcolumn
@ ~/.julia/packages/Tables/pLOVV/src/utils.jl:70 [inlined]
[4] writerow(buf::Vector{UInt8}, pos::Base.RefValue{Int64}, len::Int64, io::Base.TTY, sch::Tables.Schema{(:i,), Tuple{Float64}}, row::DataFrameRow{DataFrame, DataFrames.Index}, cols::Int64, opts::CSV.Options{UInt8, UInt8, Nothing, Tuple{}, typeof(CSV._identity)})
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:367
[5] (::CSV.var"#99#100"{Bool, Bool, Tables.Schema{(:i,), Tuple{Float64}}, DataFrames.DataFrameRows{DataFrame}, CSV.Options{UInt8, UInt8, Nothing, Tuple{}, typeof(CSV._identity)}, Vector{UInt8}, Int64, Int64, Tuple{Symbol}})(io::Base.TTY)
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:235
[6] with(f::CSV.var"#99#100"{Bool, Bool, Tables.Schema{(:i,), Tuple{Float64}}, DataFrames.DataFrameRows{DataFrame}, CSV.Options{UInt8, UInt8, Nothing, Tuple{}, typeof(CSV._identity)}, Vector{UInt8}, Int64, Int64, Tuple{Symbol}}, io::Any, append::Bool, compress::Bool)
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:303
[7] #write#98
@ ~/.julia/packages/CSV/jFiCn/src/write.jl:225 [inlined]
[8] write(file::Base.TTY, itr::DataFrame; delim::Char, quotechar::Char, openquotechar::Nothing, closequotechar::Nothing, escapechar::Char, newline::Char, decimal::Char, dateformat::Nothing, quotestrings::Bool, missingstring::String, transform::typeof(CSV._identity), bom::Bool, append::Bool, compress::Bool, writeheader::Nothing, partition::Bool, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:210
[9] write(file::Base.TTY, itr::DataFrame)
@ CSV ~/.julia/packages/CSV/jFiCn/src/write.jl:153
[10] top-level scope
@ REPL[5]:1

versioninfo()
Julia Version 1.8.5
Commit 17cfb8e65ea (2023-01-08 06:45 UTC)
Platform Info:
OS: macOS (arm64-apple-darwin21.5.0)
CPU: 10 × Apple M1 Pro
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-13.0.1 (ORCJIT, apple-m1)
Threads: 1 on 8 virtual cores

versioninfo()
Julia Version 1.8.5
Commit 17cfb8e65ea (2023-01-08 06:45 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 24 × AMD Ryzen 9 3900X 12-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-13.0.1 (ORCJIT, znver2)
Threads: 1 on 24 virtual cores

[kafisatz]

I ran into this as well just now. For reference #1065 (comment) removing/adding Parsers.jl and CSV.jl may help. In most cases the manifest should probably not contain Parsers.jl eventually.