I have a dataframe which contains `NA` and float values. I would like to change the datatype of one of its columns from `Any` to `Float64`. The solution I found on the web
df[:x] = float64(df[:x]) yields a deprecation warning to use `map(Float64, df[:x])` and a conversion error. The map solution doesn't work either, since of course Float64(NA) isn't defined. I tried working directly with DataArrays, but the docs <https://github.com/JuliaStats/DataArrays.jl> are pretty sparse about how to work with them. Their example works: da = @data([1, 2, NA, 4]) but merely entering x = [1, 2, NA, 4] yields a conversion error during `vcat` (hence the macro, presumably). So how may I convert a DataArray{Any} to DataArray{Float64}? This yields a conversion error (it works without the NA): convert(DataArray{Float64}, Any[NA, 1,2,3]) And the macro doesn't work with comprehensions: da = @data([isodd(x) ? NA : x for x in 1:10]) Did I miss anything? Cédric
