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The latest CSV package uses PooledArrays but it doesn't work well with DataFrames.
julia> df = CSV.File(download("https://gist.githubusercontent.com/tk3369/9a005ffbf5f1bf7648cb4558f72e66e7/raw/5a6b6a8d6a4e69fca6fe788d87ddd55f6498af25/test.csv")) |> DataFrame; julia> df2 = deepcopy(df); julia> append!(df, df2) ERROR: MethodError: no method matching append!(::PooledArrays.PooledArray{String,UInt32,1,Array{UInt32,1}}, ::PooledArrays.PooledArray{String,UInt32,1,Array{UInt32,1}}) Closest candidates are: append!(::DataFrame, ::Any) at C:\Users\tkwong\.julia\packages\DataFrames\m9gd9\src\other\tables.jl:39 append!(::Array{#s72,1} where #s72, ::AbstractArray{T,1} where T) at array.jl:893 append!(::Array{T,1} where T, ::Any) at array.jl:900 ...
The text was updated successfully, but these errors were encountered:
Thank you for reporting this. There is an issue opened to fix it here JuliaData/PooledArrays.jl#23.
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Closing since that's not a bug in DataFrames.
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The latest CSV package uses PooledArrays but it doesn't work well with DataFrames.
The text was updated successfully, but these errors were encountered: