We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
@select!
select!
I get an unexpected error with @select! below, and the error message reads to me like it should be working.
julia> using DataFramesMeta julia> df = DataFrame(x=1:3, y=4:6, z=7:9) 3×3 DataFrame Row │ x y z │ Int64 Int64 Int64 ─────┼───────────────────── 1 │ 1 4 7 2 │ 2 5 8 3 │ 3 6 9 julia> @select!(df, Not(:x), :x) ERROR: LoadError: ArgumentError: Multi-column references outside of @select, @rselect, @select! and @rselect! must be wrapped in AsTable Stacktrace: [1] get_column_expr(e::Expr; allow_multicol::Bool) @ DataFramesMeta C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\parsing.jl:37 [2] get_column_expr @ C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\parsing.jl:22 [inlined] [3] fun_to_vec(ex::Expr; gensym_names::Bool, outer_flags::@NamedTuple{…}, no_dest::Bool, allow_multicol::Bool) @ DataFramesMeta C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\parsing.jl:359 [4] fun_to_vec @ C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\parsing.jl:326 [inlined] [5] (::DataFramesMeta.var"#56#57"{@NamedTuple{…}})(ex::Expr) @ DataFramesMeta .\none:0 [6] iterate(::Base.Generator{Vector{Any}, DataFramesMeta.var"#56#57"{@NamedTuple{…}}}) @ Base .\generator.jl:48 [7] select!_helper(::Symbol, ::Expr, ::Vararg{Any}) @ DataFramesMeta C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\macros.jl:1987 [8] var"@select!"(__source__::LineNumberNode, __module__::Module, x::Any, args::Vararg{Any}) @ DataFramesMeta C:\Users\nboyer.AIP\.julia\packages\DataFramesMeta\Ga6VV\src\macros.jl:2116 in expression starting at REPL[8]:1 Some type information was truncated. Use `show(err)` to see complete types. julia> select!(df, Not(:x), :x) 3×3 DataFrame Row │ y z x │ Int64 Int64 Int64 ─────┼───────────────────── 1 │ 4 7 1 2 │ 5 8 2 3 │ 6 9 3
The text was updated successfully, but these errors were encountered:
Thank you for the bug report! Fix is in #405
Sorry, something went wrong.
Fix multi-column select! #404 (#405)
d93dcbd
* add allow multicol * add tests * add fix * Update src/macros.jl Co-authored-by: Bogumił Kamiński <[email protected]> --------- Co-authored-by: Bogumił Kamiński <[email protected]>
No branches or pull requests
I get an unexpected error with
@select!
below, and the error message reads to me like it should be working.The text was updated successfully, but these errors were encountered: