I would not like to pickaxe a lot in the language just to read a file with numerical data arranged by columns. Is there an easy way to do this now in julia 1.1? Surprisingly this simple task is not on the manual. In python one would do something like this:
def read2col(filename, length):
data = []
for line in open(filename,'r'):
for word in line.split():
data.append(word)
data = np.reshape(data,(length,2))
data = np.asarray(data, dtype=np.float64)
return data
(untested)
function read2col(filename, len)
asfloat64(s) = try x = parse(Float64, s); return x catch; return missing; end
data = []
for word in split(read(filename, String), r"\s+")
push!(data, word)
end
data = reshape(data,(len, 2))
data = asfloat64.(data)
return data
end
or even
asfloat64(s) = try x = parse(Float64, s); return x catch; return missing; end
read2col(fname, len) = asfloat64.(reshape(split(read(fname, String), r"\s+"), (len, 2)))