Feather.jl
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JuliaData
Read and write feather files in pure Julia
Hi, executing the following code in Windows works ```julia using DataFrames, Feather dt = DataFrame(A = rand(10), B = rand(10)) Feather.write("test.feather",dt) ``` The resulting file can be loaded in the...
When loading a feather file which has a column of Type Arrow.BitPrimitive I get an Error: `DimensionMismatch("column length 17 for column(s) A, and is incompatible with column length 2 for...
Given the way Arrow treats nominal variables maybe it would be cleaner that we read them in as `PooledArray` not `CategoricalArray` because they are essentially a `PooledArray` and recently we...
Currently FileIO seems only to work with FeatherFiles, not this package. I'd like to figure out how to deal with that when I get a chance.
_Hi! This is an automated pull request by @mortenpi._ The next [Documenter.jl](https://github.com/JuliaDocs/Documenter.jl) release (0.20) will make breaking changes to the `makedocs` and `deploydocs` functions. This PR makes sure that your...
Has this been reported as an issue before? Is there a way to get around this issue?
Was a bit surprised by this, since for CSV it is not an issue. This is on Feather.jl v0.4.0: ```julia julia> using DataFrames, Feather, CSV julia> CSV.write("empty.CSV", DataFrame(a=Int[])) CSV.Sink{Nothing,DataType}( CSV.Options:...
Somehow an alignment error gets thrown on 32-bit systems, as has been seen on appveyor. The error was thrown on an array of `Float64` so it seems to me that...
I need to write the updated documentation for the package now that it has been completely reorganized with the Arrow back-end. Coming soon!
When writing a dataframe that has a column of entirely missing values, Feather throws a `MethodError`. ```julia julia> using Feather julia> x = DataFrame(A=randn(10), B=missing) 10×2 DataFrames.DataFrame │ Row │...
