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If one defines:
d=Dict(1=>"xx",2=>"yy",3=>"zz") df = DataFrame(str=["a","b","c"],x=[1,2,3])
and then
df |> @mutate(y=d[_.x]) |> DataFrame
results in
Row │ str x y │ Any Any Any ─────┼─────────────── 1 │ a 1 xx 2 │ b 2 yy 3 │ c 3 zz
losing the types of all of the columns. And doing a little digging, this doesn't seem to be an issue with the dictionary. If instead
d=["xx","yy","zz"]
the above code loses the column types. In addition, if
d2=[7,8,9]
then
df |> @mutate(z=d2[_.x]) |> DataFrame
also loses the column types.
The text was updated successfully, but these errors were encountered:
Same here, seems the same issue as #313
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If one defines:
and then
results in
losing the types of all of the columns. And doing a little digging, this doesn't seem to be an issue with the dictionary. If instead
the above code loses the column types. In addition, if
then
also loses the column types.
The text was updated successfully, but these errors were encountered: