I try to read a text file in julia but I cannot give any type while reading it gives an error;
data = readdlm("data.txt",'\t', Float64)
at row 1, column 1 : ErrorException("file entry \" 0.00632 18.00 2.310 0 0.5380 6.5750 65.20 4.0900 1 296.0 15.30 396.90 4.98 24.00\" cannot be converted to Float64")
If I dont use Float64, the data type is Array{Any,2}. this result returns but I have 14 different columns in the data.
" 0.27957 0.00 9.690 0 0.5850 5.9260 42.60 2.3817 6 391.0 19.20 396.90 13.59 24.50"
" 0.17899 0.00 9.690 0 0.5850 5.6700 28.80 2.7986 6 391.0 19.20 393.29 17.60 23.10"
" 0.28960 0.00 9.690 0 0.5850 5.3900 72.90 2.7986 6 391.0 19.20 396.90 21.14 19.70"
" 0.26838 0.00 9.690 0 0.5850 5.7940 70.60 2.8927 6 391.0 19.20 396.90 14.10 18.30"
" 0.23912 0.00 9.690 0 0.5850 6.0190 65.30 2.4091 6 391.0 19.20 396.90 12.92 21.20"I recommend using the CSV library to parse delimited files. It has features, such as handling repeated delimiters, which will probably deal with your input file.
julia> using Pkg
julia> Pkg.add("CSV")
julia> import CSV
julia> Array(CSV.read("data.txt"; delim=' ', ignorerepeated=true, type=Float64))
4×14 Array{Float64,2}:
0.17899 0.0 9.69 0.0 0.585 5.67 28.8 2.7986 6.0 391.0 19.2 393.29 17.6 23.1
0.2896 0.0 9.69 0.0 0.585 5.39 72.9 2.7986 6.0 391.0 19.2 396.9 21.14 19.7
0.26838 0.0 9.69 0.0 0.585 5.794 70.6 2.8927 6.0 391.0 19.2 396.9 14.1 18.3
0.23912 0.0 9.69 0.0 0.585 6.019 65.3 2.4091 6.0 391.0 19.2 396.9 12.92 21.2