I'm new to Julia. I want to write code which, for each of several vectors, outputs a new vector, the name of which depends on the name of the input vector.
For example, the following code works
a = ones(10)
b = ones(10)
for var in [a, b]
global log_var = log.(var)
end
except I want the resulting vectors to be named log_a and log_b (rather than have the loop overwrite log_var). I had thought this would be simple, but having read a few tutorials about locals in Julia, I'm still lost! Is there a simple way to go about this?
In case this question is unclear, I'll describe how I would do this in Stata, with which I'm more familiar:
clear
set obs 10
gen a = 1
gen b = 1
foreach var in a b {
gen log_`var' = log(`var')
}
Thank you!
CodePudding user response:
You really probably don't want to do that. But, if you had to, you could do it pretty easily with metaprogramming. In this case for example:
macro logify(variable)
quote
$(esc(Symbol("log_$variable"))) = log.($variable)
end
end
then
julia> b = rand(5)
5-element Vector{Float64}:
0.29129581739244315
0.21098023915449915
0.8736387630142392
0.34378216482772417
0.621583372934101
julia> @logify b;
julia> log_b
5-element Vector{Float64}:
-1.2334159735391819
-1.555990803188027
-0.13508830339365252
-1.0677470639708686
-0.4754852291054692
In general, any time you need to depend on the name of a variable rather than its contents, you're going to need metaprogramming.
However, to emphasize, again, this feels like a bad idea.
Rather than defining new top-level variables, you might consider instead using some sort of data structure like a Dict or a NamedTuple or a DataFrame, or even just a multidimensional Array. For example, with NamedTuples:
julia> data = (a = rand(5), b = rand(5));
julia> typeof(data)
NamedTuple{(:a, :b), Tuple{Vector{Float64}, Vector{Float64}}}
julia> data.a
5-element Vector{Float64}:
0.7146929585896256
0.5248314042991269
0.040560190890127856
0.9714549101298824
0.9477790450084252
julia> data.b
5-element Vector{Float64}:
0.6856764745285641
0.3066093923258396
0.5655243277481422
0.13478854894985115
0.8495720250298817
julia> logdata = NamedTuple{keys(data)}(log.(data[x]) for x in keys(data));
julia> logdata.a
5-element Vector{Float64}:
-0.335902257064951
-0.6446782026336225
-3.204968213346185
-0.02896042387181646
-0.05363387877891503
julia> logdata.b
5-element Vector{Float64}:
-0.3773493739743169
-1.182180679204628
-0.5700019644606769
-2.0040480325554944
-0.1630225562612911
CodePudding user response:
if you are looking for something similar to what you do in stata, you can use DataFrames.jl,
julia> using DataFrames
julia> df = DataFrame(a=ones(10), b=ones(10))
julia> for col in ["a", "b"]
df[:, "log_"*col] = log.(df[:, col])
end
julia> df
