Comments (2)
For anyone else coming across this, I encountered this exact problem and solved this with the following function (inspired by this thread on Discourse):
# fix types in data
function make_types_64!(df)
for c in names(df)
if eltype(df[!,c])==Float32
df[!,c] = convert.(Float64,df[!,c])
elseif eltype(df[!,c])==Int8
df[!,c] = convert.(Int64,df[!,c])
end
end
return df
end
make_types_64!(df)
from statfiles.jl.
There are probably multiple ways you could do that e.g. in a DataFrame
. I think doing anything about this here in this package is probably out of scope: we just return the data type that is used in the file.
from statfiles.jl.
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from statfiles.jl.