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I don't expect tables with 5 columns to be "too wide". Should I?
Pkg.activate(temp=true) Pkg.add("Tables") Pkg.add("OpenML") using OpenML, Tables # [8b6db2d4] OpenML v0.3.2 # [bd369af6] Tables v1.12.0 table = OpenML.load(61) # Tables.DictColumnTable with 150 rows, 5 columns, and schema: # :sepallength Float64 # :sepalwidth Float64 # :petallength Float64 # :petalwidth Float64 # :class CategoricalArrays.CategoricalValue{String, UInt32} Tables.columntable(table) # ERROR: ArgumentError: input table too wide (5 columns) to convert to `NamedTuple` of `AbstractVector`s # Stacktrace: # [1] columntable(sch::Tables.Schema{nothing, nothing}, cols::Tables.DictColumnTable) # @ Tables ~/.julia/packages/Tables/8p03y/src/namedtuples.jl:180 # [2] columntable(itr::Tables.DictColumnTable) # @ Tables ~/.julia/packages/Tables/8p03y/src/namedtuples.jl:190 # [3] top-level scope # @ REPL[7]:1
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@jbrea Have you run into this kind of thing?
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Weird. No, I usually use DataFrames, which work fine on this example.
DataFrames
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I don't expect tables with 5 columns to be "too wide". Should I?
The text was updated successfully, but these errors were encountered: