I have a pretty large DataFrames.jl dataframe that I am using for some data simulations. However, I need to pass the data back to python for some visualizations and @tkf suggested that I convert the DataFrames DataFrame to a Pandas.jl dataframe first, and then pass it to python using pyjulia. Sounds…

This seems like just a bug in Pandas.jl. Maybe open an issue? In particular, this does not treat T == Union{} case well because Union{} <: S holds for any type S (including AbstractFloat). JuliaPy/Pandas.jl/blob/e033acc3ecb5019dcad542f9d133c890fddac9d6/src/tabletraits.jl#L36-L37 …

Error converting from a DataFrames.DataFrame to a Pandas.Dataframe

General Usage

tkf May 9, 2020, 7:14pm 4

Yeah, it looks like that’s how DataValues.jl works

julia> DataValue(missing)
DataValue{Union{}}()

julia> eltype(ans)
Union{}

Anyway, I think it’s better to open an issue in Pandas.jl repo.

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Error converting from a DataFrames.DataFrame to a Pandas.Dataframe

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