Julia: How to replace SQLite.Null with NA in DataFrame -

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i have sqlite database read dataframe in julia. when values missing, given type sqlite.null, difficult deal with. prefer nas. there easy way conversion? kludgy way follows:

using dataframes, sqlite  df = dataframe() df[:x1] = [1, sqlite.nulltype(), 3, 4] df[:x2] = ["a", "b", sqlite.nulltype(), "d"]  function repnull(x)     if isa(x, sqlite.nulltype)         return(na)     else          return(x)     end end  df[:1] = map(repnull, df[:x1]) df[:2] = map(repnull, df[:x2])

is there more elegant and/or efficient way?

i've looked question i'm new julia may have been using wrong terms.

the following seems readable , fast.

for col in df.columns     col[col.==sqlite.null]=na end

a curious thing note 'exceptional' behaviour of na under equality. thus, above solution may throw exception if there nas in dataframe (i.e. operation not idempotent).


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