Hey, I've been using Julia on and off for the past couple of months and I noticed (maybe my memory doesn't serve me well) that if I read a CSV (through the built-in readcsv), and impose the data type as Float64, it won't coerce non-numerical values to NaNs like it used to. I checked the documentation and it says
If T is a numeric type, the result is an array of that type, with any > non-numeric elements as NaN for floating-point types, or zero. > But when I run readcsv(s, Float64), I get ERROR: file entry "Date" cannot be converted to Float64 in error at error.jl:21 in store_cell at datafmt.jl:198 in dlm_fill at datafmt.jl:312 in readdlm_string at datafmt.jl:276 in readdlm_auto at datafmt.jl:59 in readdlm at datafmt.jl:50 in readdlm at datafmt.jl:44 in readcsv at datafmt.jl:489 I therefore wanted to ask if I misunderstood the documentation or what's happening here. I don't mind reading it as it is and stripping out the non-numericals, it's not a big deal, I'm just checking. Thanks Oli
