matplotlib - How to plot 4-D data embedded in a dataframe in Julia using a subplots approach? -


i have julia dataframe first 4 columns dimensions , 5th 1 contains actual data.

i plot using subplots approach 2 main plot axis concern first 2 dimensions , each subplot contour plot on remaining 2 dimensions.

i there above code:

using dataframes,plots # plotlyjs() # doesn't work plotlyjs backend pyplot()  x = [1,2,3,4] y = [0.1,0.15,0.2] = [2,4,6,8,10,12,14] j = [10,20,30,40,50,60]  df = dataframe(x=int64[], y=float64[], i=float64[], j=float64[], v=float64[] ) [push!(df,[x,y,i,j,(5*x+20*y+2)*(0.2*i^2+0.5*j^2+3*i*j+2*i^2*j+1)]) x in x, y in y, in i, j in j]  minvalue = minimum(df[:v]) maxvalue = maximum(df[:v])  function todict(df, dimcols, valuecol)     toreturn = dict()     r in eachrow(df)         keyvalues = []         [push!(keyvalues,r[d]) d in dimcols]         toreturn[(keyvalues...)] = r[valuecol]     end     return toreturn end  dict = todict(df, [:x,:y,:i,:j], :v ) m = [dict[(x,y,i,j)] j in j, in i, y in y, x in x ]  yl = length(y) xl = length(x)  plot(contour(m[:,:,3,1], ylabel="y = $(string(y[3]))", zlims=(minvalue,maxvalue)), contour(m[:,:,3,2]), contour(m[:,:,3,3]), contour(m[:,:,3,4]),      contour(m[:,:,2,1], ylabel="y = $(string(y[2]))", zlims=(minvalue,maxvalue)), contour(m[:,:,2,2]), contour(m[:,:,2,3]), contour(m[:,:,2,4]),      contour(m[:,:,1,1], ylabel="y = $(string(y[1]))", xlabel="x = $(string(x[1]))"), contour(m[:,:,1,2], xlabel="x = $(string(x[2]))"), contour(m[:,:,1,3], xlabel="x = $(string(x[3]))"), contour(m[:,:,3,4], xlabel="x = $(string(x[4]))"),      layout=(yl,xl) )

this produces: subplots

i remain following concerns:

  1. how automatize creation of each subplot in subplot call ? need write macro ?
  2. i each subplot have same limits in z axis, zlims seems not work. zlims not yet supported ?
  3. how hide legend on z axis on each subplot , plot instead apart (best on right side of main/total plot) ?

edit: first point don't need macro, can create subplots in loop, add them in array , pass array plot() call using ellipsis operator:

plots = [] y in length(y):-1:1     x in 1:length(x)         xlabel = y == 1 ? "x = $(string(x[x]))" : ""         ylabel = x==1 ? "y = $(string(y[y]))" : ""         println("$y - $x")         plot = contour(i,j,m[:,:,y,x], xlabel=xlabel, ylabel=ylabel, zlims=(minvalue,maxvalue))         push!(plots,plot)     end end plot(plots..., layout=(yl,xl))


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