JDF.jl
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If JDF folder is overwritten data of 'old' columns is persitent
See example.
using JDF
using DataFrames
df = DataFrame(a=rand(3),b=rand(3),c=rand(3))
fi =raw"C:\temp\fi.jdf"
@time JDF.save(fi, df)
df = DataFrame(a=rand(3),b=rand(3))
@time JDF.save(fi, df)
#the jdf folder on disk will 'keep' the data for column c
#I wonder if this is intentional, or if 'c' should be cleaned up (i.e. deleted)
This seems like an oversight that should be improved. What is your view?
Yeah agree