Is there a function to name generated plot or rename variable?

General Usage
,
1

Hi,

I’d like to naming plot or variables in a for loop, interpolating corresponding id to their name, so later on I can use them in manner of my combination and order.

I checked related functions by ?name but haven’t found what I want. Any suggestion?

for i in 1:5
    p=plot(rand(10))
    name(p)="p$i"                #are there functions in julia can achieve this? 
end
2

I think it is better to put the plot into an array:
E.g if you use the default backend (GR):

allPlots=Array{Plots.Plot{Plots.GRBackend},1}(undef,5)
for i in 1:5
    allPlots[i]=plot(rand(10))
end

But if you insist in different variables for each plot you can use eval:

for i in 1:5
    p="p$i=plot(rand(10))"
    eval(Meta.parse(p))
end

Another way would be creating your own macro.
https://docs.julialang.org/en/v1/manual/metaprogramming/index.html#man-macros-1

2 Likes
3

Thank you~ The fact that array can contain plots actually suprised me. Can array also contain dataframe like:

Array{DataFrames.DataFrame{Float64,2}, 1}(undef, 2,3,2)

4

Sure, but it would be:

julia> aOfDf=Array{DataFrame}(undef,5)
5-element Array{DataFrame,1}:
 #undef
 #undef
 #undef
 #undef
 #undef

julia> aOfDf[1]=DataFrame( [Float64,Float64],[:x,:y],3)
3×2 DataFrame
│ Row │ x       │ y            │
│     │ Float64 │ Float64      │
├─────┼─────────┼──────────────┤
│ 1   │ 0.0     │ 5.51928e-315 │
│ 2   │ 0.0     │ 8.0953e-316  │
│ 3   │ 0.0     │ 5.51928e-315 │

julia> aOfDf[2]=DataFrame( [Float64,Float64,Float64],[:x,:y,:z],3)
3×3 DataFrame
│ Row │ x            │ y            │ z            │
│     │ Float64      │ Float64      │ Float64      │
├─────┼──────────────┼──────────────┼──────────────┤
│ 1   │ 1.16653e-315 │ 1.16653e-315 │ 1.13457e-315 │
│ 2   │ 6.91943e-316 │ 1.16653e-315 │ 6.91942e-316 │
│ 3   │ 6.92265e-316 │ 6.91943e-316 │ 6.91942e-316 │

julia> aOfDf
5-element Array{DataFrame,1}:
    3×2 DataFrame
│ Row │ x       │ y            │
│     │ Float64 │ Float64      │
├─────┼─────────┼──────────────┤
│ 1   │ 0.0     │ 5.51928e-315 │
│ 2   │ 0.0     │ 8.0953e-316  │
│ 3   │ 0.0     │ 5.51928e-315 │
    3×3 DataFrame
│ Row │ x            │ y            │ z            │
│     │ Float64      │ Float64      │ Float64      │
├─────┼──────────────┼──────────────┼──────────────┤
│ 1   │ 1.16653e-315 │ 1.16653e-315 │ 1.13457e-315 │
│ 2   │ 6.91943e-316 │ 1.16653e-315 │ 6.91942e-316 │
│ 3   │ 6.92265e-316 │ 6.91943e-316 │ 6.91942e-316 │
 #undef
 #undef
 #undef

So, you don’t have to specify the DataFrame for the Array, it’s just any DataFrame.

1 Like